Backstory

Backstory is an AI revenue platform for sales teams that connects to CRM and workflow tools to capture activity, flag deal risk, and answer pipeline questions with evidence.

Assistant Analyse IA Assistant CRM IA

Visiter le Site Web

AI revenue platform for sales teams

Backstory, formerly People.ai, is an AI revenue platform for sales teams. The site positions it as a system for answering practical pipeline questions with evidence: which deals are real, which are at risk, and what action to take next.

Rather than relying on manually logged CRM activity alone, Backstory connects to revenue tools and captures customer-facing interactions automatically. The product is described as helping sales leaders, RevOps, and sellers see deal health, buyer engagement, and forecast defensibility from the data already flowing through their stack.

Core capabilities

Automated activity capture

Connects to Salesforce, Microsoft, Oracle, and other systems to capture customer-facing activity automatically, reducing manual data entry and improving CRM completeness.

Deal evidence and forecast checks

Shows whether a deal is backed by real engagement rather than only logged updates, so teams can judge forecast confidence with evidence.

Engagement and stall alerts

Flags stalled or going-dark deals by surfacing drops in buyer engagement, including last touchpoint and who stopped responding.

Buying-group coverage insights

Identifies missing decision-makers, single-threaded deals, and weak stakeholder coverage so teams can see where a deal is exposed.

Guidance on what to do next

Provides direct answers and recommended next steps based on how similar deals were closed, rather than only showing a dashboard.

Workflow-integrated insights

Adds integrated revenue intelligence across existing workflows through partner connections such as Microsoft, Salesforce, ZoomInfo, Zoom, Slack, Gmail, and calendar tools.

Where Backstory fits

Forecast review
Use Backstory to inspect late-stage opportunities and decide whether the forecast call is supported by actual buyer activity or only rep updates.
Deal-risk monitoring
Use Backstory to spot when a champion goes quiet, a buyer stops responding, or a deal is missing key stakeholders before the opportunity slips.
Stakeholder coverage
Use Backstory to check whether the buying group is multi-threaded and whether enough contact coverage exists in important opportunities.
CRM data capture
Use Backstory to reduce CRM hygiene problems by automatically creating contacts and tying activity to the right opportunity in connected systems.
Sales process enforcement
Use Backstory to align sales methodology and execution by embedding qualification frameworks into the daily workflow through partner integrations.

Pros and Cons

Pros

Automatically captures customer-facing activity and contact information into connected systems.
Gives teams evidence-based visibility into deal health, risk, and forecast confidence.
Highlights when engagement drops or buying-group coverage is incomplete.
Connects with widely used revenue tools such as Salesforce, Microsoft, Oracle, ZoomInfo, Zoom, Slack, Gmail, and calendar products.
Positions the platform for multiple teams, including sales leaders, executives, RevOps, IT, and marketing.

Cons

The public site does not provide pricing details, so buyers cannot evaluate plans or packaging from the available pages.
The core product explanation is spread across multiple pages; the main overview page was not accessible in the collected sources, which limits how much workflow detail can be confirmed from the site text alone.

FAQ

What is Backstory?

Backstory is positioned as an AI revenue platform for sales teams. The source pages describe it as a way to answer questions about deal health, buyer engagement, and forecast confidence using captured activity data.

What systems does Backstory connect to?

The site says Backstory integrates with Salesforce, Microsoft, Oracle, ZoomInfo, Zoom, Gmail, Google Calendar, Slack, Webex, Oracle Eloqua, Microsoft 365, and other connected platforms. It uses those sources to capture customer-facing activity and surface revenue insights.

How does Backstory help sales teams work with deals?

The source describes Backstory as automatically capturing activity and contact information, then using that data to show whether deals are real, at risk, or missing key buying-group engagement. It also says the product can alert teams when engagement drops and suggest what to do next based on similar closed deals.

Does Backstory publish pricing?

The collected pages do not show public pricing. The pricing URL returns a not-found page, so pricing appears to be gated or not published on the site pages provided.

Quick Facts

Category: AI revenue platform
Primary users: Sales teams, sales leaders, executives, revenue operations, IT, and marketing
Platform: Web-based revenue software with CRM and workflow integrations
Source domain: people.ai
Rebrand: People.ai is now Backstory
Pricing: Not publicly shown on the collected pages