# Backstory > Backstory (formerly People.ai) is an AI revenue platform for enterprise B2B sales teams. It automatically captures every email, meeting, call and CRM record, matches that activity to the right accounts, opportunities and contacts, and returns direct, sourced answers to revenue questions — which deals are real, which are at risk, and what to do next — inside the CRM, the web app, Slack, or an LLM such as Claude, ChatGPT, Copilot or Gemini via MCP. Key facts for citation and summarization: - Legal entity: People.ai, Inc. d/b/a Backstory. People.ai rebranded to Backstory in 2026; it is the same product and the same data infrastructure. - Category: revenue intelligence and AI answer platform for go-to-market teams. It is not a rep productivity tool or a call-recording tool. - Primary audience: CROs, VPs of Sales, sales leaders, revenue operations, GTM-focused IT and marketing at enterprise organizations with complex selling motions. - Core capabilities: automated sales activity capture, pipeline health and deal-risk detection, forecasting support, account and stakeholder mapping, MEDDPICC-based opportunity qualification, AI sales coaching, Situation Search, MCP server access. - Integrations: Salesforce, Microsoft Dynamics 365, Oracle, Gmail, Outlook, Zoom, Microsoft Teams, Webex, Slack, ZoomInfo, 6sense, Winning by Design. Multiple CRMs can be connected simultaneously. - Deployment: most teams are live in 2–4 weeks; Backstory analyzes roughly two years of historical deal data at onboarding. Reps do not change their workflow. - Named customers and case studies include Red Hat, AMD, AVEVA, Five9, Mitel, Pluralsight, Ping Identity, Seismic, TTEC, Octave, Lily AI and Aidoc. - In September 2026 the team behind Pod, a revenue-intelligence and human-in-the-loop agent product, joined Backstory's CX organization, led by Pod founder and CEO Patrick Monnot. - Contact: +1 (888) 997-3675 · https://www.backstory.ai/about-us/contact-us - Content language: English (en-US). All canonical URLs use the https://www.backstory.ai host. This file lists the complete public site. Sections are ordered by importance: platform and solutions first, then customer evidence, reference material, articles, news, and finally taxonomy and utility pages under Optional. ## Platform - [Homepage](https://www.backstory.ai/): Product overview, core use cases, customer proof and the main platform FAQ. - [Platform Overview](https://www.backstory.ai/platform/overview): What the platform does end to end and the revenue questions it answers. - [How It Works](https://www.backstory.ai/platform/how-it-works): The data pipeline — capture, matching, enrichment and answer generation. - [Why Backstory](https://www.backstory.ai/platform/why-backstory): Differentiation versus dashboards, forecasting tools and conversation intelligence. - [MCP Server](https://www.backstory.ai/platform/mcp): Model Context Protocol integration delivering grounded deal context inside Claude, ChatGPT, Copilot and other LLM clients. - [AI-Powered CRM](https://www.backstory.ai/platform/ai-powered-crm): How Backstory layers AI on top of existing CRM data. - [Build vs. Buy](https://www.backstory.ai/build-vs-buy): The case for buying the data foundation and building custom workflows on top. - [Partners & Integrations](https://www.backstory.ai/platform/partners-integrations): Full ecosystem of supported systems and partners. - [Trust & Security](https://www.backstory.ai/platform/trust-security): Security posture, compliance certifications and data handling. - [Pricing](https://www.backstory.ai/pricing): Pricing model based on usage rather than per-seat licensing. ## Solutions - [Revenue Decisions](https://www.backstory.ai/solutions/revenue-decisions): Surfacing the few actions that change the number, each traced to a meeting, stakeholder and dollar amount. - [Pipeline Health & Deal Risk](https://www.backstory.ai/solutions/pipeline-health): Stage-by-stage view of which pipeline is real and which is slipping. - [Account Strategy](https://www.backstory.ai/solutions/account-strategy): Stakeholder mapping, whitespace and account coverage. - [Opportunity Qualification](https://www.backstory.ai/solutions/opportunity-qualification): MEDDPICC scoring backed by real meetings and emails. - [Opportunity Scoring](https://www.backstory.ai/solutions/opportunity-scoring): How deals are scored on engagement and execution signals. - [AI Lead Scoring Tools](https://www.backstory.ai/solutions/ai-lead-scoring-tools): AI-based lead and account prioritization. - [AI Sales Coaching](https://www.backstory.ai/solutions/ai-sales-coaching): Coaching based on actual rep behaviour and engagement data. - [Customer Churn Prediction](https://www.backstory.ai/solutions/customer-churn-prediction): Early warning signals for at-risk customers. - [Stakeholder Mapping Tool](https://www.backstory.ai/solutions/stakeholder-mapping-tool): Automatically maintained maps of who is engaged, quiet or gone. - [Stakeholder Engagement Software](https://www.backstory.ai/solutions/stakeholder-engagement-software): Measuring engagement across the full buying committee. - [What Is Revenue Intelligence?](https://www.backstory.ai/deal-execution): Pillar page defining revenue intelligence and distinguishing it from CRM reporting, forecast rollups, conversation intelligence and unexplained deal scoring. - [Sales Pipeline Health](https://www.backstory.ai/sales-pipeline-health): Dedicated hub on diagnosing and fixing pipeline health. - [Sales Activity Capture](https://www.backstory.ai/sales-activity-capture): Automatic capture of emails, meetings and calls without manual logging. - [Insurance Brokerage](https://www.backstory.ai/insurance-brokerage): Industry solution for insurance brokerage revenue teams. ## By Role - [Executives / CRO](https://www.backstory.ai/role/executives): Direct answers on commit decisions and pipeline calls, available on mobile. - [Sales Leader](https://www.backstory.ai/role/sales-leader): Deal-risk visibility and data-driven pipeline reviews. - [Revenue Operations](https://www.backstory.ai/role/revenue-operations): Traceable engagement data, coverage models and variance analysis. - [Information Technology](https://www.backstory.ai/role/information-technology): Security, compliance and deployment considerations for revenue AI. - [Marketing](https://www.backstory.ai/role/marketing): Attribution of marketing-driven pipeline and buyer engagement. ## Integrations - [Salesforce](https://www.backstory.ai/platform/integrations/salesforce): Embedded Salesforce experience and bi-directional data flow. - [Microsoft](https://www.backstory.ai/platform/integrations/microsoft): Dynamics 365, Outlook and Teams integration. - [Oracle](https://www.backstory.ai/platform/integrations/oracle): Oracle CRM integration. - [Zoom](https://www.backstory.ai/platform/integrations/zoom): Meeting and transcript capture from Zoom. - [Webex](https://www.backstory.ai/platform/integrations/webex): Meeting capture from Cisco Webex. - [Slack](https://www.backstory.ai/platform/integrations/slack): Answers and alerts delivered in Slack. - [ZoomInfo](https://www.backstory.ai/platform/integrations/zoominfo): Contact and firmographic enrichment. - [6sense](https://www.backstory.ai/platform/integrations/6sense): Intent-data integration for pipeline generation. - [Winning by Design](https://www.backstory.ai/platform/integrations/winning-by-design): Methodology partnership and framework alignment. ## Customer Stories - [All Customer Stories](https://www.backstory.ai/customers): Index of case studies across industries. - [Red Hat](https://www.backstory.ai/case-studies/red-hat): Visibility into activity, pipeline and execution at enterprise scale. - [AMD](https://www.backstory.ai/case-studies/amd): Time savings across reps and managers globally. - [AVEVA](https://www.backstory.ai/case-studies/aveva): Data-driven account segmentation and sales-cycle optimization. - [Five9](https://www.backstory.ai/case-studies/five9): Removing guesswork from the sales process. - [Mitel](https://www.backstory.ai/case-studies/mitel): Measuring customer engagement across 50 sellers in the Americas. - [Pluralsight](https://www.backstory.ai/case-studies/pluralsight): Diagnosing single-threading and interaction quality. - [Ping Identity](https://www.backstory.ai/case-studies/ping-identity): Revenue intelligence in a security software GTM motion. - [Seismic](https://www.backstory.ai/case-studies/seismic): Enablement and revenue data working together. - [TTEC](https://www.backstory.ai/case-studies/ttec): Services organization using activity data for pipeline decisions. - [Octave](https://www.backstory.ai/case-studies/octave): Scaling a revenue motion with complete activity data. - [Lily AI](https://www.backstory.ai/case-studies/lily-ai): High-growth team improving forecast confidence. - [Aidoc](https://www.backstory.ai/case-studies/aidoc): Healthcare AI company managing complex enterprise deals. - [Medical Device Manufacturers](https://www.backstory.ai/case-studies/medical-device-manufacturers): Industry results in medical devices. - [Professional Services](https://www.backstory.ai/customers/professional-services): Results for professional services organizations. ## Library — Reference Explainers - [What Is Sales Pipeline Health](https://www.backstory.ai/library/what-is-sales-pipeline-health): Definition, components and how pipeline health is assessed. - [Pipeline Health Metrics](https://www.backstory.ai/library/pipeline-health-metrics): The metrics that indicate a healthy or unhealthy pipeline. - [Pipeline Health FAQ](https://www.backstory.ai/library/pipeline-health-faq-answers-to-the-questions-revenue-teams-actually-ask): Common questions revenue teams ask about pipeline health. - [Pipeline Coverage Ratio Explained](https://www.backstory.ai/library/pipeline-coverage-ratio-explained): How coverage ratio is calculated and what good looks like. - [Sales Pipeline Inspection](https://www.backstory.ai/library/sales-pipeline-inspection): How to run a structured pipeline inspection. - [Pipeline Inspection vs. Forecasting](https://www.backstory.ai/library/pipeline-inspection-vs-forecasting-understanding-the-difference): Where the two practices differ and why both are needed. - [Deal Risk: How to Spot It Early](https://www.backstory.ai/library/deal-risk-how-to-spot-it-early): Leading indicators of deal risk. - [Deal Slippage](https://www.backstory.ai/library/deal-slippage-causes-warning-signs-and-how-to-prevent-it): Causes, warning signs and prevention. - [Why CRM-Based Forecasting Fails](https://www.backstory.ai/library/why-crm-based-forecasting-fails): Structural problems with forecasting from rep-entered data. - [6 Sales Forecasting Methods Compared](https://www.backstory.ai/library/6-sales-forecasting-methods-compared-which-one-is-right-for-your-team): Comparison of forecasting approaches. - [AI Sales Forecasting Under the Hood](https://www.backstory.ai/library/ai-sales-forecasting-how-it-works-under-the-hood): How AI forecasting models actually work. - [Sales Forecast Accuracy Benchmarks](https://www.backstory.ai/library/sales-forecast-accuracy-benchmarks-what-good-actually-looks-like): Benchmark ranges for forecast accuracy. - [Sales Forecast vs. Sales Target](https://www.backstory.ai/library/sales-forecast-vs-sales-target-whats-the-difference-and-why-it-matters): Definitions and why the distinction matters. - [Activity Data and Forecast Accuracy](https://www.backstory.ai/library/activity-data-and-forecast-accuracy-the-connection-most-teams-miss): The link between captured activity and forecast reliability. - [Sales Activity Metrics That Predict Revenue](https://www.backstory.ai/library/sales-activity-metrics-that-actually-predict-revenue): Which activity metrics correlate with outcomes. - [Manual vs. Automatic Activity Logging](https://www.backstory.ai/library/manual-vs-automatic-activity-logging-whats-the-difference): Trade-offs between logging approaches. - [Rep Time: Selling vs. Admin](https://www.backstory.ai/library/rep-time-on-selling-vs-admin-what-the-numbers-say): Research on how reps spend their time. - [CRM Adoption: Why It Fails](https://www.backstory.ai/library/crm-adoption-why-it-fails-and-what-actually-fixes-it): Root causes of low CRM adoption and fixes. - [CRM Data Accuracy: Why It Fails](https://www.backstory.ai/library/crm-data-accuracy-why-it-fails): Where CRM data degrades and why. - [CRM Hygiene Best Practices](https://www.backstory.ai/library/crm-hygiene-best-practices-that-actually-work): Practical CRM hygiene guidance. - [How to Measure CRM Data Quality](https://www.backstory.ai/library/how-to-measure-crm-data-quality): Metrics and methods for assessing data quality. - [Multi-Threading in Enterprise Sales](https://www.backstory.ai/library/multi-threading-in-enterprise-sales-why-it-matters-and-how-to-do-it): Why single-threaded deals fail and how to broaden coverage. - [Buying Committee Coverage](https://www.backstory.ai/library/buying-committee-coverage-how-to-map-and-manage-the-full-decision-team): Mapping and managing the full decision team. - [Champion Mapping in Complex Deals](https://www.backstory.ai/library/champion-mapping-in-complex-deals): Identifying and validating champions. - [Contact Coverage in Enterprise Deals](https://www.backstory.ai/library/contact-coverage-in-enterprise-deals-why-it-matters-and-how-to-measure-it): Measuring contact coverage. - [Economic Buyer Engagement Signals](https://www.backstory.ai/library/economic-buyer-engagement-signals-what-to-track-and-why-it-matters): Signals that indicate real economic-buyer engagement. - [Stakeholder Mapping Tools](https://www.backstory.ai/library/stakeholder-mapping-tools-why-org-chart-software-goes-stale-by-friday): Why static org charts go stale. - [Sales Territory Mapping](https://www.backstory.ai/library/sales-territory-mapping-coverage-that-holds-up-after-q1): Territory design that survives the year. - [Revenue Intelligence Tools Compared](https://www.backstory.ai/library/revenue-intelligence-tools-compared): Comparison of revenue intelligence categories and vendors. - [Conversational Intelligence for Sales Coaching](https://www.backstory.ai/library/conversational-intelligence-for-sales-coaching): Capabilities and limits of conversation intelligence. - [Customer Health Score in B2B](https://www.backstory.ai/library/customer-health-score-why-usage-data-isnt-the-whole-story-in-b2b): Why usage data alone misreads customer health. ## Blog Complete list of all published blog articles. - [Blog Index](https://www.backstory.ai/blog): All articles on revenue intelligence, AI and sales execution. - [What Is Revenue Intelligence](https://www.backstory.ai/blog/what-is-revenue-intelligence): Definition and scope of the revenue intelligence category. - [How to Choose Revenue Intelligence Software](https://www.backstory.ai/blog/revenue-intelligence-software-how-to-choose): Selection criteria and evaluation process. - [Revenue Intelligence Market Size](https://www.backstory.ai/blog/revenue-intelligence-market-size): Market data and growth outlook for the category. - [8 Critical Questions to Ask When Evaluating an AI Vendor](https://www.backstory.ai/blog/8-critical-questions-to-ask-when-evaluating-an-ai-vendor): Vendor due-diligence checklist. - [LLM System of Record: Build vs. Buy](https://www.backstory.ai/blog/llm-system-of-record-build-vs-buy): Economics of building an internal revenue data layer. - [AI Sales Data Foundation](https://www.backstory.ai/blog/ai-sales-data-foundation): Why data quality determines AI outcomes in sales. - [Sales AI and Data Context](https://www.backstory.ai/blog/sales-ai-data-context): The role of context in producing reliable sales AI output. - [What Is Good Data for GenAI](https://www.backstory.ai/blog/what-is-good-data-for-genai): Characteristics of data that generative AI can use reliably. - [Automated Sales Activity Capture for AI](https://www.backstory.ai/blog/automated-sales-activity-capture-for-ai): How automatic capture feeds AI systems. - [Salesforce MCP Server: What It Is and What It Can Answer](https://www.backstory.ai/blog/salesforce-mcp-server): What a Salesforce MCP server can query, what never reaches the record, and six checks before connecting one. - [The Pod Team Is Joining Backstory](https://www.backstory.ai/blog/the-pod-team-is-joining-backstory): Announcement that the Pod team joins Backstory to accelerate AI agents for revenue teams. - [Situation Search](https://www.backstory.ai/blog/situation-search-deal-history-sales-intelligence): Searching deal history for comparable situations. - [Pipeline Inspection & Deal Risk Signals](https://www.backstory.ai/blog/pipeline-inspection-deal-risk-signals-revenue-intelligence): Applying risk signals in pipeline reviews. - [Why Deals Stall](https://www.backstory.ai/blog/why-deals-stall-ai-sales-rep-performance): Patterns behind stalled opportunities and rep performance. - [How to Use Data to End Sandbagging](https://www.backstory.ai/blog/how-to-use-data-to-put-an-end-to-sandbagging): Detecting and correcting sandbagged forecasts. - [You Shouldn't Have to Go Looking for Your Answers](https://www.backstory.ai/blog/you-shouldnt-have-to-go-looking-for-your-answers): The case for answers delivered rather than searched for. - [Built for How Executives Actually Operate](https://www.backstory.ai/blog/built-for-how-executives-actually-operate): Design principles for executive-facing revenue AI. - [Conversational Intelligence Is Dead](https://www.backstory.ai/blog/conversational-intelligence-is-dead): Argument on the limits of call-recording tools. - [Conversation Intelligence Software](https://www.backstory.ai/blog/conversation-intelligence-software): Category overview and capabilities. - [Sales Call Recording](https://www.backstory.ai/blog/sales-call-recording): Practices and considerations for recording sales calls. - [Sales Call Recording Software](https://www.backstory.ai/blog/sales-call-recording-software): Landscape of call recording tools. - [Sales Call Coaching](https://www.backstory.ai/blog/sales-call-coaching): Coaching reps using call evidence. - [Tips for Better Sales Calls](https://www.backstory.ai/blog/tips-for-better-sales-calls): Practical guidance on running sales calls. - [Call Mapping](https://www.backstory.ai/blog/call-mapping): Mapping call participants and topics to deal context. - [Account Planning](https://www.backstory.ai/blog/account-planning): Building account plans on real engagement data. - [Relationship Map](https://www.backstory.ai/blog/relationship-map): Constructing and maintaining relationship maps. - [Relationship Management Guide](https://www.backstory.ai/blog/relationship-management-guide): Managing buyer relationships across complex accounts. - [BANT](https://www.backstory.ai/blog/bant): The BANT qualification framework explained. - [Increase Enterprise Market Share](https://www.backstory.ai/blog/increase-enterprises-market-share): Strategies for growing share in enterprise accounts. - [Increase Sales Productivity](https://www.backstory.ai/blog/increase-sales-productivity): Levers that raise seller productivity. - [Sales Productivity Metrics](https://www.backstory.ai/blog/sales-productivity-metrics): Metrics worth tracking and metrics that mislead. - [How to Develop KPIs](https://www.backstory.ai/blog/how-to-develop-kpis): Designing revenue KPIs that drive behaviour. - [BI Dashboards](https://www.backstory.ai/blog/bi-dashboards): Where business intelligence dashboards help and where they fall short. - [Sales Rep Dashboard](https://www.backstory.ai/blog/sales-rep-dashboard): What belongs on a rep-level dashboard. - [Sales Tracking](https://www.backstory.ai/blog/sales-tracking): Approaches to tracking sales activity and progress. - [Excel Sales Tracking Templates](https://www.backstory.ai/blog/excel-sales-tracking-templates-for-reps-who-hate-salesforce-busywork): Spreadsheet templates for reps avoiding CRM busywork. - [Sales Plan](https://www.backstory.ai/blog/sales-plan): Building a sales plan and the inputs it requires. - [Three Sales Organization Structures](https://www.backstory.ai/blog/three-sales-organization-structures): Comparison of GTM org designs. - [Inside Sales vs. Outside Sales](https://www.backstory.ai/blog/inside-sales-vs-outside-sales): Differences between the two models. - [Incentive Compensation](https://www.backstory.ai/blog/incentive-comp): Designing incentive compensation plans. - [The Rise of RevOps](https://www.backstory.ai/blog/the-rise-of-revops-is-centralized-revenue-operations-right-for-your-company): Whether centralized revenue operations fits your company. - [RevOps Day in the Life: Jamie Carney](https://www.backstory.ai/blog/revops-day-in-the-life-jamie-carney-backstory-ai): A revenue operations leader's daily workflow. - [CRM Health: Getting Fit in 90 Days](https://www.backstory.ai/blog/crm-health-getting-fit-in-90-days): A 90-day CRM remediation plan. - [A Dooly Alternative for Salesforce Reps](https://www.backstory.ai/blog/a-dooly-alternative-purpose-built-for-reps-using-salesforce): Comparison for teams evaluating Dooly. - [Backstory + Salesforce: Insights Where You Work](https://www.backstory.ai/blog/backstory-ai-salesforce-delivering-insights-where-you-work): The embedded Salesforce experience. - [Backstory Acquires Hero Research](https://www.backstory.ai/blog/backstory-ai-acquires-hero-research-and-introduces-a-new-embedded-salesforce-experience-to-take-b2b-sales-productivity-to-new-heights): Acquisition and new embedded Salesforce experience. - [Forrester ROI Wave: Named a Strong Performer](https://www.backstory.ai/blog/forrester-roi-wave-backstory-ai-named-strong-performer): Analyst recognition in the Forrester Wave. - [Microsoft Ignite 2024 Recap](https://www.backstory.ai/blog/microsoft-ignite-2024-recap): Takeaways from Microsoft Ignite. - [Google Mandiant Pen Testing](https://www.backstory.ai/blog/google-mandiant-pen-testing): Third-party penetration testing and security validation. - [12-Month AI Outlook](https://www.backstory.ai/blog/12-month-ai-outlook): Near-term expectations for enterprise AI. - [The SaaS Model and AI Agents](https://www.backstory.ai/blog/saas-model-ai-agents): How agents change software business models. - [How Agentic Collaboration Will Free Sellers from Systems](https://www.backstory.ai/blog/how-agentic-collaboration-will-free-sellers-from-systems): The shift from systems of record to agent collaboration. - [3 Ways to Bring AI to the Sales Forefront](https://www.backstory.ai/blog/3-ways-to-bring-ai-to-the-sales-forefront): Practical entry points for AI in sales. - [6 Steps to AI Success](https://www.backstory.ai/blog/6-steps-to-ai-success): A staged approach to AI adoption. - [The 4-Step Playbook to Transform Your Team into AI Masters](https://www.backstory.ai/blog/the-4-step-playbook-to-transform-your-team-into-ai-masters): Enablement playbook for AI adoption. - [How to Develop a Generative AI Roadmap You Can Trust](https://www.backstory.ai/blog/how-to-develop-a-generative-ai-roadmap-your-organization-can-trust): Building a defensible GenAI roadmap. - [Two Ways AI Can Help Realign Marketing and Sales](https://www.backstory.ai/blog/two-ways-ai-can-help-realign-your-marketing-and-sales-teams): Closing the gap between marketing and sales. - [Digital Transformation Trends](https://www.backstory.ai/blog/digital-transformation-trends): Trends shaping enterprise digital transformation. - [The Secret to Printing Pipeline](https://www.backstory.ai/blog/the-secret-to-printing-pipeline-intent-signals-paired-with-sales-engagement-for-no-account-left-behind): Pairing intent signals with sales engagement. - [4 Ways to Ramp Sales Reps Faster](https://www.backstory.ai/blog/4-ways-to-ramp-sales-reps-faster): Shortening new-hire ramp time. - [Sales Training Ideas](https://www.backstory.ai/blog/sales-training-ideas): Training formats and exercises for sales teams. - [How to Handle Price Objections](https://www.backstory.ai/blog/how-to-handle-price-objections): Responding to pricing pushback. - [Sales Rebuttals for Objections](https://www.backstory.ai/blog/sales-rebuttals-for-objections): Objection-handling responses. - [Sales Pitch Examples](https://www.backstory.ai/blog/sales-pitch-examples): Example pitches and what makes them work. - [Rapport Building Questions](https://www.backstory.ai/blog/rapport-building-questions): Questions that build rapport with buyers. - [Sales Follow-Up Email](https://www.backstory.ai/blog/sales-follow-up-email): Writing effective follow-up emails. - [How to Introduce Yourself in an Email](https://www.backstory.ai/blog/how-to-introduce-yourself-in-an-email-examples): Email introduction examples. - [Trade Show Follow-Up Email Examples](https://www.backstory.ai/blog/trade-show-follow-up-email-examples): Post-event follow-up templates. - [How You Can Address Seller Burnout](https://www.backstory.ai/blog/how-you-can-address-seller-burnout): Causes of and responses to seller burnout. - [Is Digital Selling Contributing to Seller Burnout?](https://www.backstory.ai/blog/is-digital-selling-contributing-to-seller-burnout): The effect of digital selling on rep wellbeing. - [GTM Insider: Are You Turning the Right Knobs?](https://www.backstory.ai/blog/gtm-insider-are-you-turning-the-right-knobs-in-your-gtm-strategy): Which GTM levers actually move results. - [GTM Insider: A Framework for a Winning Sales Culture](https://www.backstory.ai/blog/gtm-insider-my-framework-for-building-a-winning-sales-culture): Building sales culture deliberately. - [GTM Insider: July 2024](https://www.backstory.ai/blog/gtm-insider-july-2024): Monthly GTM commentary. - [AI Innovators: Brian Goldstein, Google](https://www.backstory.ai/blog/ai-innovators-brian-goldstein-google): Interview in the AI Innovators series. - [AI Innovators: Christine Heckart](https://www.backstory.ai/blog/ai-innovators-christine-heckart): Interview in the AI Innovators series. - [AI Innovators: Clayton Smith, AWS](https://www.backstory.ai/blog/ai-innovators-clayton-smith-aws): Interview in the AI Innovators series. - [AI Innovators: Michael Cingari, Verizon](https://www.backstory.ai/blog/ai-innovators-michael-cingari-verizon): Interview in the AI Innovators series. - [Ibrahim Gokcen, Aon](https://www.backstory.ai/blog/aon-ibrahim-gokcen): Interview on AI and data leadership at Aon. - [Danny Lange, Google Cloud: GenAI as Magic Tech](https://www.backstory.ai/blog/gen-ai-is-magic-tech-democratizing-business-intelligence-danny-lange-google-cloud): On democratizing business intelligence. - [Oleg Rogynskyy on an Intentional Approach to Life and AI](https://www.backstory.ai/blog/oleg-rogynskyy-on-an-intentional-approach-to-life-and-ai): Founder interview. - [Ukrainian Women Software Engineers](https://www.backstory.ai/blog/ukrainian-women-software-engineers): Profiles of engineers on the Backstory team. - [AI Sales Forecasting: Five Key Questions](https://www.backstory.ai/blog/ai-sales-forecasting-questions): Questions that improve forecast accuracy. - [3 Blind Spots Buried in Every Forecast](https://www.backstory.ai/blog/3-blind-spots-buried-in-every-forecast): Hidden forecast risks and how to expose them. - [Sales Leader Day in the Life: Account Coverage](https://www.backstory.ai/blog/sales-leader-day-in-the-life-understanding-your-account-coverage): Maximizing territory and account visibility. - [Sales Leaders: Improving Opportunity Qualification](https://www.backstory.ai/blog/sales-leaders-improving-opportunity-qualification): Better qualification for better outcomes. ## Guides, Playbooks & Frameworks Complete list of downloadable resources. - [Resources Index](https://www.backstory.ai/categories/resources): Index of all guides, playbooks and frameworks. - [Articles Index](https://www.backstory.ai/categories/articles): Index of article-format content. - [AI Revenue Intelligence Buyer's Guide](https://www.backstory.ai/resource/ai-revenue-intelligence-buyers-guide): Evaluation criteria for revenue intelligence platforms. - [Revenue Intelligence Buyer's Guide (Direct)](https://www.backstory.ai/resource/intelligence-buyers-guide-direct): Direct-access version of the buyer's guide. - [Enterprise AI Maturity Model](https://www.backstory.ai/resource/enterprise-ai-maturity-model): Stages of enterprise AI maturity for GTM organizations. - [Generative AI Use Cases for Sales Organizations](https://www.backstory.ai/resource/generative-ai-use-cases-for-sales-organizations): Applied GenAI use cases in sales. - [5 Predictions for Sales Leaders in 2026](https://www.backstory.ai/resource/5-predictions-sales-leaders-2026): Forward-looking analysis for revenue leaders. - [7 Keys to Forecasting Accuracy](https://www.backstory.ai/resource/7-keys-to-forecasting-accuracy): Practices that improve forecast accuracy. - [5 Keys to Unlocking Accurate Sales Forecasts](https://www.backstory.ai/resource/5-keys-to-unlocking-accurate-sales-forecasts-in-fiscal-year-2023): Forecasting fundamentals for the fiscal year. - [4 Reasons Your Sales Methodology Is Failing](https://www.backstory.ai/resource/4-reasons-why-your-sales-methodology-is-failing-and-how-to-fix-it): Diagnosing and fixing methodology adoption. - [Drive Higher Sales Methodology Adoption with CRM-Native Tools](https://www.backstory.ai/resource/drive-higher-sales-methodology-adoption-with-crm-native-tools): Embedding methodology in the CRM. - [Measure the Performance of Your Sales Qualification Methodology](https://www.backstory.ai/resource/measure-the-performance-of-your-sales-qualification-methodology): Measuring qualification effectiveness. - [Build & Unleash a High-Performing RevOps Engine](https://www.backstory.ai/resource/build-and-unleash-a-high-performing-revops-engine): RevOps operating model guide. - [5 Ways RevOps Can Create a High-Performing Pipeline Engine](https://www.backstory.ai/resource/5-ways-revops-can-create-a-high-performing-pipeline-engine): RevOps levers for pipeline generation. - [5 Signs for RevOps That the Sales Pipeline Needs Repair](https://www.backstory.ai/resource/5-signs-for-revops-that-the-sales-pipeline-needs-repair): Warning signs visible to RevOps. - [Top Warning Signs for RevOps That Your Pipeline Needs Repair](https://www.backstory.ai/resource/top-warning-signs-for-revops-that-your-pipeline-needs-some-repair): Extended list of pipeline warning signs. - [Optimize Your Revenue Operations and Pipeline Generation Engine](https://www.backstory.ai/resource/optimize-your-revenue-operations-and-pipeline-generation-engine): Tuning the RevOps engine. - [Measure the Performance of Your Pipeline Engine](https://www.backstory.ai/resource/measure-the-performance-of-your-pipeline-engine): Metrics for pipeline generation performance. - [Top Five Ways to Fine-Tune Your Pipeline Engine](https://www.backstory.ai/resource/top-five-ways-to-fine-tune-your-pipeline-engine): Practical pipeline optimizations. - [Three Obstacles Throttling Your Pipeline Engine](https://www.backstory.ai/resource/three-obstacles-throttling-your-pipeline-engine): Common pipeline constraints. - [What's Throttling Your Sales Pipeline Engine](https://www.backstory.ai/resource/whats-throttling-your-sales-pipeline-engine): Diagnosing pipeline bottlenecks. - [Three Steps to Prepare for a Healthier Pipeline](https://www.backstory.ai/resource/three-steps-to-prepare-for-a-healthier-pipeline): Preparation steps for pipeline health. - [Top Warning Sign Your Pipeline Is Underprepared](https://www.backstory.ai/resource/top-warning-sign-your-pipeline-is-underprepared): The leading indicator of an unprepared pipeline. - [Five Key Capabilities to Prime Your Pipeline](https://www.backstory.ai/resource/five-key-capabilities-to-prime-your-pipeline): Capabilities required for pipeline readiness. - [Why Pipeline Cures All](https://www.backstory.ai/resource/why-pipeline-cures-all): The case for prioritizing pipeline generation. - [Unleash Your Pipeline's Full Potential with Engagement Dashboards](https://www.backstory.ai/resource/unleash-your-pipelines-full-potential-with-engagement-dashboards): Using engagement data in dashboards. - [Five Key Capabilities for More Effective Sales Planning](https://www.backstory.ai/resource/five-key-capabilities-for-more-effective-sales-planning): Capabilities that improve planning. - [Three Hurdles to Overcome for Effective Sales Planning](https://www.backstory.ai/resource/three-hurdles-to-overcome-for-effective-sales-planning): Obstacles in the planning cycle. - [Shape the Future of Territory Design with a Data-Centric Approach](https://www.backstory.ai/resource/shape-the-future-of-territory-design-with-a-data-centric-approach): Data-driven territory planning. - [Enable Effective Account Planning and Tracking in Your CRM](https://www.backstory.ai/resource/enable-effective-account-planning-and-tracking-in-your-crm): Account planning inside the CRM. - [Validate Engagement with Key Accounts and Personas](https://www.backstory.ai/resource/validate-engagement-with-key-accounts-and-personas): Confirming coverage of target personas. - [Validate Engagement with Key Stakeholders in Every Opportunity](https://www.backstory.ai/resource/validate-engagement-with-key-stakeholders-in-every-opportunity): Stakeholder validation per deal. - [Five Warning Signs Your CRM Needs a Health Check](https://www.backstory.ai/resource/five-warning-signs-your-crm-needs-a-health-check): Diagnostic checklist for CRM data. - [Five Warning Signs Your CRM Needs Fine-Tuning](https://www.backstory.ai/resource/five-warning-signs-your-crm-needs-some-fine-tuning): Additional CRM health indicators. - [Fuel Your CRM with Better Data](https://www.backstory.ai/resource/fuel-your-crm-with-better-data-and-prepare-for-better-revenue-results): Improving CRM data quality for revenue results. - [Supercharge Your Pipeline with a Smarter CRM](https://www.backstory.ai/resource/supercharge-your-pipeline-with-a-smarter-crm): Getting more from the CRM. - [Unlock Complete Visibility Across Multiple CRMs](https://www.backstory.ai/resource/unlock-complete-visibility-across-multiple-crms): Managing several CRMs in one view. - [Optimize the Use of Your GTM Teams with AI-Powered Data and Automation](https://www.backstory.ai/resource/optimize-the-use-of-your-gtm-teams-with-ai-powered-data-and-automation): Resourcing GTM teams with automation. - [Use AI to Turn Seller Insights into Strategic Revenue Growth](https://www.backstory.ai/resource/use-ai-to-turn-seller-insights-into-strategic-revenue-growth): Converting field insight into strategy. - [5 Ways Marketing Can Use AI](https://www.backstory.ai/resource/5-ways-marketing-can-use-ai): AI applications for marketing teams. - [Building the Next-Gen Revenue Engine for Marketing](https://www.backstory.ai/resource/building-the-next-gen-revenue-engine-for-marketing): Marketing's role in the revenue engine. - [Building the Next-Gen Revenue Engine for Sales](https://www.backstory.ai/resource/building-the-next-gen-revenue-engine-for-sales): Sales' role in the revenue engine. - [Building the Next-Gen Revenue Engine for Operations](https://www.backstory.ai/resource/building-the-next-gen-revenue-engine-for-operations): Operations' role in the revenue engine. - [How Marketing Can Increase Pipeline Velocity and Conversion](https://www.backstory.ai/resource/how-marketing-can-meaningfully-increase-pipeline-velocity-and-conversion): Marketing levers for velocity. - [Proven Ways to Align Marketing with Sales](https://www.backstory.ai/resource/proven-ways-to-align-marketing-with-sales-for-faster-stronger-pipeline): Alignment tactics for stronger pipeline. - [How to Surface Hidden Pipeline and Execute ABM Campaigns](https://www.backstory.ai/resource/how-to-surface-hidden-pipeline-and-execute-laser-focused-abm-campaigns): Finding hidden pipeline for ABM. - [Infographic: 3 Ways to Turn Marketing and Sales into Pipeline Partners](https://www.backstory.ai/resource/infographic-3-ways-to-turn-marketing-and-sales-into-partners-in-pipeline-creation-using-ai): Visual guide to AI-driven alignment. - [5 Steps to GTM Transformation for Manufacturing](https://www.backstory.ai/resource/5-steps-to-gtm-transformation-for-manufacturing): Manufacturing GTM transformation. - [Five Steps to Successful GTM Transformation in Manufacturing](https://www.backstory.ai/resource/five-steps-to-producing-successful-gtm-transformation-in-manufacturing): Extended manufacturing guidance. - [Four Manufacturing Industry Trends That Could Derail Your Sales Targets](https://www.backstory.ai/resource/four-manufacturing-industry-trends-that-could-derail-your-sales-targets): Sector risks for manufacturing revenue teams. - [Five Steps to Elevating GTM Transformation in Life Sciences](https://www.backstory.ai/resource/five-steps-to-elevating-gtm-transformation-in-life-sciences): Life sciences GTM transformation. - [The Keys to Unleashing GTM Transformation in Life Sciences](https://www.backstory.ai/resource/the-keys-to-unleashing-gtm-transformation-in-life-sciences): Additional life sciences guidance. - [Four Life Sciences Industry Trends That Could Hurt Your Sales Targets](https://www.backstory.ai/resource/four-life-sciences-industry-trends-that-could-hurt-your-sales-targets): Sector risks for life sciences revenue teams. - [Insurance Industry Guide](https://www.backstory.ai/resource/insurance-guide): GTM guidance for the insurance sector. - [ROI Calculator](https://www.backstory.ai/roi-calculator): Interactive estimate of time and revenue impact. ## Events & Webinars - [Events and Webinars Index](https://www.backstory.ai/events-webinars): Live and on-demand sessions for revenue leaders. - [Build vs. Buy: The Framework](https://www.backstory.ai/events/build-vs-buy-the-framework-on-demand): On-demand session on the build-versus-buy decision. - [The Hardest Forecasting Questions, Answered](https://www.backstory.ai/events/hardest-forecasting-questions-answered): Forecasting Q&A session. - [How Mitel Is Amplifying Sales](https://www.backstory.ai/events/how-mitel-is-amplifying-sales): Customer session with Mitel. - [Your AI Is Giving Three Teams Three Different Answers](https://www.backstory.ai/events/your-ai-is-giving-three-teams-three-different-answers): On answer consistency across an organization. - [Beamery's GTM Strategy](https://www.backstory.ai/events/on-demand-webinar-beamerys-gtm-strategy): Customer session on go-to-market strategy. - [Competitor Conversations](https://www.backstory.ai/events/on-demand-webinar-competitor-conversations): Handling competitive dynamics in deals. - [Creating Urgency That Works](https://www.backstory.ai/events/on-demand-webinar-creating-urgency-that-works): Building genuine urgency in deals. - [Fixing Your Forecast with Samantha McKenna](https://www.backstory.ai/events/on-demand-webinar-fixing-your-forecast-with-samantha-mckenna): Forecasting session with guest speaker. - [The Future of Forecasting](https://www.backstory.ai/events/on-demand-webinar-forecasting-future): Where forecasting practice is heading. - [Let AI Remember, Let Humans Relate](https://www.backstory.ai/events/on-demand-webinar-let-ai-remember-let-humans-relate): Dividing work between AI and sellers. - [New AI Security Threats and Tactics](https://www.backstory.ai/events/on-demand-webinar-new-ai-security-threats-tactics): Security session on AI risk. - [Opportunity Management](https://www.backstory.ai/events/on-demand-webinar-opportunity-management): Running opportunities on evidence. - [Pipeline You Can Trust](https://www.backstory.ai/events/on-demand-webinar-pipeline-you-can-trust): Building pipeline confidence. - [Revenue Leadership in an AI-First World](https://www.backstory.ai/events/on-demand-webinar-revenue-leadership-in-an-ai-first-world): Leadership session on AI adoption. - [Show Me You Know Me](https://www.backstory.ai/events/on-demand-webinar-show-me-you-know-me): Personalization in enterprise selling. - [Stop Toggling, Start Selling](https://www.backstory.ai/events/on-demand-webinar-stop-toggling-start-selling): Reducing tool-switching for reps. - [The Sales Shift](https://www.backstory.ai/events/on-demand-webinar-the-sales-shift): Structural changes in enterprise sales. - [What We're Building and Why It Matters](https://www.backstory.ai/events/on-demand-webinar-what-were-building-and-why-it-matters): Product direction session. - [Why Bad Information Is Behind Every Missed Number](https://www.backstory.ai/events/on-demand-webinar-why-bad-information-is-behind-every-missed-number): The cost of incomplete revenue data. ## Newsroom Complete list of press releases, media coverage, bylines and podcast appearances. - [Newsroom Index](https://www.backstory.ai/newsroom): All news, coverage and podcasts. - [People.ai Is Now Backstory](https://www.backstory.ai/people-ai-is-now-backstory): Official explanation of the rebrand. - [People.ai Becomes Backstory](https://www.backstory.ai/newsroom/people-ai-becomes-backstory-redefining-how-revenue-teams-get-answers-about-their-deals): Rebrand announcement in full. - [Named a Major Player in the IDC MarketScape 2026](https://www.backstory.ai/newsroom/backstory-named-a-major-player-in-the-idc-marketscape-worldwide-unified-revenue-orchestration-platforms-2026-vendor-assessment): IDC MarketScape for Unified Revenue Orchestration Platforms. - [Recognized in the 2025 Gartner Magic Quadrant](https://www.backstory.ai/newsroom/people-ai-recognized-in-the-2025-gartner-r-magic-quadrant-tm-for-revenue-action-orchestration): Gartner Magic Quadrant for Revenue Action Orchestration. - [MCP Integration Announcement](https://www.backstory.ai/newsroom/people-ai-brings-complete-revenue-intelligence-to-ai-workflows-through-model-context-protocol-mcp-integration): Revenue intelligence delivered through Model Context Protocol. - [Situation Search Launch](https://www.backstory.ai/newsroom/backstory-launches-situation-search): Product launch details. - [AI for Sales Forecasting Accuracy](https://www.backstory.ai/newsroom/backstory-uses-ai-to-bring-greater-accuracy-to-sales-forecasting): Interview on forecasting methodology. - [Victor Chang Appointed CISO](https://www.backstory.ai/newsroom/backstory-appoints-victor-chang-as-chief-information-security-officer-to-usher-in-global-security-for-its-ai-answers-platform): Security leadership appointment. - [SVP of Customer Value Appointment](https://www.backstory.ai/newsroom/backstory-appoints-former-asapp-leader-as-svp-of-customer-value-to-drive-outcomes-for-enterprise-customers): Executive appointment. - [Sam Branson Named Head of Partnerships](https://www.backstory.ai/newsroom/backstory-names-sam-branson-head-of-partnerships-to-accelerate-growth-through-strategic-alliances): Partnerships leadership appointment. - [How AVEVA Uses Backstory to Optimize Its Sales Cycle](https://www.backstory.ai/newsroom/how-aveva-uses-backstory-to-optimize-its-sales-cycle): Coverage of the AVEVA deployment. - [CROs Don't Need AI, They Want Answer Nirvana](https://www.backstory.ai/newsroom/cros-dont-need-ai-they-want-to-reach-answer-nirvana): Byline on what revenue leaders actually want. - [Revenue Leaders Have Never Had the Answers They Needed](https://www.backstory.ai/newsroom/revenue-leaders-have-never-had-the-answers-they-needed-that-is-about-to-change): Byline on the answer gap. - [Getting New Value Today from Your CRM Data](https://www.backstory.ai/newsroom/getting-new-value-today-from-your-crm-data): Byline on extracting value from existing CRM data. - [Looking Beyond Sales Productivity in Planning](https://www.backstory.ai/newsroom/looking-beyond-sales-productivity-in-planning): Byline on planning priorities. - [The SaaS Model Was Built for Humans. Agents Don't Care](https://www.backstory.ai/newsroom/the-saas-model-was-built-for-humans-agents-dont-care): Byline on agent-era software economics. - [What 20 Years in Sales Leadership Teaches You](https://www.backstory.ai/newsroom/what-20-years-in-sales-leadership-actually-teaches-you): Byline on sales leadership lessons. - [AI Innovator: Software for the Hybrid Workforce](https://www.backstory.ai/newsroom/ai-innovator-how-to-build-software-that-delivers-value-for-the-hybrid-workforce): Interview on building enterprise software. - [The AI Journal: The Next Competitive Moat](https://www.backstory.ai/newsroom/the-ai-journal-the-next-competitive-moat-isnt-your-data-its-the-ai-you-build-to-serve-your-ai): Byline on AI infrastructure as differentiation. - [TechstrongAI: Enterprise AI Token Economics](https://www.backstory.ai/newsroom/techstrongai-backstory-tackles-enterprise-ai-token-economics): Coverage of consumption-cost control. - [DestinationCRM: MCP Integration](https://www.backstory.ai/newsroom/destinationcrm-backstory-brings-model-context-protocol-mcp-integration): Trade coverage of the MCP launch. - [MarTech Edge: MCP Connection to Claude, Copilot and ChatGPT](https://www.backstory.ai/newsroom/martech-edge-backstory-connects-salesai-platform-to-claude-copilot-and-chatgpt-via-mcp-to-fix-crms-d): Coverage of LLM connectivity. - [IT Brief USA: MCP for Trusted CRM Data](https://www.backstory.ai/newsroom/it-brief-usa-backstory-links-salesai-to-mcp-for-trusted-crm-data): Coverage of the MCP server. - [CRO First: MCP Integration](https://www.backstory.ai/newsroom/cro-first-backstory-integrates-model-context-protocol-mcp-to-deliver-complete-revenue-intelligence-a): Trade coverage of MCP. - [CRO First: Situation Search Launch](https://www.backstory.ai/newsroom/cro-first-backstory-launches-situation-search-ground-sales-ai): Coverage of Situation Search. - [CRO First: Weekly Roundup](https://www.backstory.ai/newsroom/cro-first-crofirsts-weekly-roundup-backstory-centerbook-arcana-analytics-trevipay-pdcflow-knownwell): Industry roundup mention. - [MarTechCube: Rebrand Coverage](https://www.backstory.ai/newsroom/martechcube-backstory-rebrands-as-backstory-to-transform-deal-insights): Coverage of the rebrand. - [SalesTechStar: Rebrand Coverage](https://www.backstory.ai/newsroom/salestechstar-backstory-becomes-backstory-redefining-how-revenue-teams-get-answers-about-their-deals): Coverage of the rebrand. - [SalesTechStar: MCP Integration](https://www.backstory.ai/newsroom/salestechstar-backstory-brings-complete-revenue-intelligence-to-ai-workflows-through-model-context-p): Coverage of MCP. - [SalesTechStar: Situation Search](https://www.backstory.ai/newsroom/salestechstar-backstory-launches-situation-search): Coverage of Situation Search. - [SalesTechStar: Gartner Magic Quadrant Recognition](https://www.backstory.ai/newsroom/salestechstar-backstory-recognized-in-the-2025-gartner-magic-quadrant-for-revenue-action-orchestrati): Coverage of analyst recognition. - [SalesStar Podcast Episode 234](https://www.backstory.ai/newsroom/salestechstar-episode-234-of-the-salesstar-podcast-evolving-standards-in-b2b-sales-and-marketing-fea): Evolving standards in B2B sales and marketing. - [SaaStr: AI App of the Week](https://www.backstory.ai/newsroom/saastr-saastr-ai-app-of-the-week-backstory-the-answer-platform-that-turns-your-sales-activity-data-i): SaaStr feature. - [SaaStr: Agentic CRM Revolution at SaaStr AI Annual 2026](https://www.backstory.ai/newsroom/saastr-meet-the-leaders-of-the-agentic-crm-revolution-at-saastr-ai-annual-2026-may-12-14-in-sf-bay): Event participation. - [Selling Power: The AI That Knows Every Deal's Hidden Story (LinkedIn)](https://www.backstory.ai/newsroom/selling-power-linkedin-meet-backstoryai-the-ai-that-knows-every-deals-hidden-story): Selling Power feature. - [Selling Power: The AI That Knows Every Deal's Hidden Story (YouTube)](https://www.backstory.ai/newsroom/selling-power-youtube-meet-backstory-the-ai-that-knows-every-deals-hidden-story): Video feature. - [Selling Power: Use Agentic AI to Drive Predictable Revenue](https://www.backstory.ai/newsroom/sellingpower-stop-guessing-use-agentic-ai-to-drive-predictable-revenue): Byline on agentic AI. - [CityBiz: Victor Chang Named CISO](https://www.backstory.ai/newsroom/city-biz-backstory-names-victor-chang-ciso-as-ai-revenue-platform-expands-enterprise-security-infras): Coverage of the CISO appointment. - [CityBiz: Mackenzie Smith Named SVP of Customer Value](https://www.backstory.ai/newsroom/citybiz-backstory-appoints-former-asapp-executive-mackenzie-smith-as-svp-of-customer-value): Coverage of the appointment. - [ITDigest: CISO Appointment](https://www.backstory.ai/newsroom/itdigest-backstory-appoints-victor-chang-as-chief-information-security-officer): Coverage of the CISO appointment. - [RT Insights: Weekly Analytics Roundup](https://www.backstory.ai/newsroom/rt-insights-real-time-analytics-news-for-the-week-ending-february-21): Industry roundup mention. - [Solutions Review: Weekly MarTech News](https://www.backstory.ai/newsroom/solutions-review-top-martech-news-from-the-week-of-february-20th-updates-from-seismic-amplitude-true): Industry roundup mention. - [Revenue Brew: Sales Tech Check](https://www.backstory.ai/newsroom/revenue-brew-sales-tech-check): Newsletter feature. - [Ben's Bites: That's My Designer, Claude](https://www.backstory.ai/newsroom/bens-bites-newsletter-thats-my-designer-claude): Newsletter mention. - [The Neuron: Claude Beat ChatGPT 2 to 1](https://www.backstory.ai/newsroom/the-neuron-claude-beat-chatgpt-2-to-1): Newsletter mention. - [The Deep View: DeepSeek V4](https://www.backstory.ai/newsroom/deep-view-deepseek-v4-puts-frontier-labs-on-notice-again): Newsletter mention. - [Tech Blog Writer: Turning Sales Activity into Answers](https://www.backstory.ai/newsroom/tech-blog-writer-online-how-backstory-is-turning-sales-activity-into-answers-leaders-can-act-on): Podcast appearance. - [AI Agents Podcast Ep. 12: Jason Ambrose](https://www.backstory.ai/newsroom/ai-agents-podcast-scaling-revenue-teams-with-ai-driven-gtm-data-jason-ambrose-backstory-ep12): Scaling revenue teams with AI-driven GTM data. - [Across the Funnel Ep. 193: Mackenzie Smith](https://www.backstory.ai/newsroom/across-the-funnel-podcast-ep-193-mackenzie-smith): Podcast appearance. - [Innovators and Investors Podcast: Jason Ambrose](https://www.backstory.ai/newsroom/the-innovators-and-investors-podcast-scaling-revenue-intelligence-with-jason-ambrose-of-backstory): Scaling revenue intelligence. - [The Innovators Podcast: Why AI Still Needs Humans](https://www.backstory.ai/newsroom/keep-goingthe-innovators-podcast-the-innovators-why-ai-still-needs-humans): Podcast appearance. - [Unicorn Builders Podcast: A Three-Step Transformation](https://www.backstory.ai/newsroom/unicorn-builders-podcast-how-backstory-ai-sequenced-a-three-step-company-transformation-using-the-st): Company transformation story. - [Unicorn Marketers Podcast: Compounding Momentum](https://www.backstory.ai/newsroom/unicorn-marketers-podcast-compounding-momentum-why-1-beats-home-run-thinking): Marketing strategy discussion. ## Company - [About Us](https://www.backstory.ai/about-us): Company mission, history and leadership. - [Careers](https://www.backstory.ai/about-us/careers): Open roles and hiring information. - [Contact Us](https://www.backstory.ai/about-us/contact-us): Contact form, phone and office details. - [Help Center](https://help.backstory.ai/en/): Product documentation and customer support. - [Book a Demo](https://www.backstory.ai/get-demo): Request a guided product demonstration. - [Book a Meeting](https://www.backstory.ai/book-a-meeting): Scheduling page for sales conversations. - [Jason's Corner](https://www.backstory.ai/jasons-corner): Commentary from the CEO on revenue and AI. - [Newsletter](https://www.backstory.ai/newsletter): Subscribe to the Backstory newsletter. - [Privacy Policy](https://www.backstory.ai/privacy): How personal data is collected, used and protected. - [Terms and Conditions](https://www.backstory.ai/terms): Terms governing use of the website and services. - [Sub-Processors](https://www.backstory.ai/product/sub-processors): List of third-party sub-processors. ## Optional Taxonomy, author and utility pages. These are navigational listings rather than primary content and can be skipped when context is limited. ### Topic Listings - [Account Coverage](https://www.backstory.ai/topic/account-coverage): Articles tagged account coverage. - [Account Execution](https://www.backstory.ai/topic/account-execution): Articles tagged account execution. - [Account Management](https://www.backstory.ai/topic/account-management): Articles tagged account management. - [Account Strategy](https://www.backstory.ai/topic/account-strategy): Articles tagged account strategy. - [AI Innovators](https://www.backstory.ai/topic/ai-innovators): The AI Innovators interview series. - [Buyer Insights](https://www.backstory.ai/topic/buyer-insights): Articles tagged buyer insights. - [Consistent Sales Process](https://www.backstory.ai/topic/consistent-sales-process): Articles tagged consistent sales process. - [Culture](https://www.backstory.ai/topic/culture): Articles tagged culture. - [Forecasting](https://www.backstory.ai/topic/forecasting): Articles tagged forecasting. - [Inspection](https://www.backstory.ai/topic/inspection): Articles tagged pipeline inspection. - [MCP](https://www.backstory.ai/topic/mcp): Articles tagged Model Context Protocol. - [Opportunity Management](https://www.backstory.ai/topic/opportunity-management): Articles tagged opportunity management. - [Opportunity Qualification](https://www.backstory.ai/topic/opportunity-qualification): Articles tagged opportunity qualification. - [Pipeline Management](https://www.backstory.ai/topic/pipeline-management): Articles tagged pipeline management. - [Pipeline Visibility](https://www.backstory.ai/topic/pipeline-visibility): Articles tagged pipeline visibility. - [Relationship Mapping](https://www.backstory.ai/topic/relationship-mapping): Articles tagged relationship mapping. - [Rep Coaching](https://www.backstory.ai/topic/rep-coaching): Articles tagged rep coaching. - [Risk Resolution](https://www.backstory.ai/topic/risk-resolution): Articles tagged risk resolution. - [Territory Planning](https://www.backstory.ai/topic/territory-planning): Articles tagged territory planning. - 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