Partners
Enterprise
Actual AI delivers unique benefits for enterprise engineering organizations.
Automated Progress Reporting Across the Org
Replace manual standups, weekly updates, and status reports with AI-generated summaries.
Saves hundreds of hours per month across managers and developers. Keeps leadership aligned without the constant ask for updates.
Objective Productivity Metrics
Get team- and developer-level velocity and output data—without relying on self-reporting or gut feel.
Empowers VPs and Directors to identify high-performers, blockers, and underutilized teams across the org.
AI-Agent Management Layer
Track, measure, and optimize LLM-based development workflows (e.g., GitHub Copilot, Cursor, internal agents).
Large orgs investing in AI tools need visibility into their ROI and a way to manage human+AI collaboration at scale.
Private, Scalable Deployment in your VPC or On-Prem
Deploy Actual AI as a Kubernetes-based cluster in your own VPC — on AWS, GCP, Azure, or on-prem.
Meets strict enterprise security and compliance requirements while giving full control over data, scaling, and integration with internal systems.
Plugs into Existing Stack (GitHub, Jira, etc.)
No need to change tools—Actual AI integrates seamlessly with source control and issue trackers.
Reduces adoption friction. IT doesn't need to overhaul infrastructure to get value from Actual AI.
Executive Dashboards for Org-Wide Insights
See a unified view of engineering health by region, team, or initiative.
Supports strategic decisions like budget allocation, re-org planning, and M&A tech team assessments.
Identify Coaching Opportunities
Detect patterns of disengagement, burnout, or misalignment early.
Enables proactive intervention, improves retention, and supports fairer, data-backed performance reviews.
Better 1:1s, Promotions, and Headcount Planning
Use AI-summarized work history to guide career development conversations and resource allocation.
Saves managers time and improves fairness in evaluation and growth planning.