Executive Summary

Many organizations—program managers, product teams, and busy executives—lose weeks of productivity because decisions and action items get buried in email, chat, and meetings and never convert into tracked work; that manual follow‑up causes missed deadlines, duplicated effort, and poor accountability. The pain is acute across knowledge-worker environments where people still spend large portions of time coordinating rather than executing. Build an AI agent that passively captures decisions and action items from email, chat, and meetings, turns them into structured tasks, and then executes downstream operations (notifications, tracker updates, doc edits) across Microsoft 365 and Google Workspace with human-in-the-loop approvals and full audit logs. The product would combine extraction models, a connector layer to major collaboration suites, and configurable runbooks so organizations get reliable automation rather than just suggestions. This is a sizable market: roughly $24.0B in potential spend (8M organizations × $3K ACV for project/work automation and collaboration), and scores highly on opportunity metrics (Market Score 90/100, Revenue Potential 88/100) because models are improving, platforms are consolidating, and demand for execution-focused automation is rising. Competition is medium—existing task-capture tools and workflow platforms exist—but few offer end-to-end extraction-plus-execution with deep platform integrations. You can differentiate by shipping first-party integrations with Microsoft and Google, emphasizing accuracy, security, and auditability, and pricing for execution value, but be upfront that success requires solving hard problems around extraction fidelity, data governance, and enterprise change management.

Market Opportunity

AI agent that captures decisions and runs project tasks across tools targets a $24.0B = 8M organizations × $3K ACV (project/work automation + collaboration spend per org) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — collaboration, automation and AI-assistant spend growing in the low-to-mid teens as enterprises invest in productivity (Gartner/Forrester estimates, 2023-2025).

Key trends driving demand: Trend — AI models are getting good at extracting structured decisions and action items from unstructured chat and email, enabling automated downstream operations.; Trend — Enterprises are consolidating on a small number of collaboration platforms (Microsoft 365, Google Workspace) that expose richer APIs and marketplaces, lowering integration friction.; Trend — Demand for automation that actually executes tasks (notifies, updates trackers, edits docs) is rising because knowledge-worker time is increasingly constrained.; Trend — Governance and auditability have become buying criteria for automation, creating opportunity for products that combine action-taking with comprehensive logs and undo..

Key competitors include Microsoft Power Automate, Zapier, Workato, Unito.

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AI agent that captures decisions and runs project tasks across tools

Executive Summary

Market Validation

Market Opportunity

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