AI ADOPTION
Understand the
true AI impact.
Know what AI is actually doing
Adoption & usage tracking
Track AI adoption, everywhere
Teams, repos, workflows, individuals. See who's using AI, how adoption is spreading, and where it's stalling across your organization.
AI adoption across teams
Usage trends over time
AI tool comparison
Efficiency metrics
Cost per delivery, measured
Tokens per delivery point, cost per team, ROI per feature. Connect AI spend to engineering outcomes as adoption scales.
Tokens per point
Cost per delivery
Efficiency benchmarking
Productivity impact measurement
Separate signal from noise
Connect AI usage to delivery speed, throughput, and execution. See where AI actually moves the needle, not just where it's active.
Delivery before and after AI
Productivity improvement analysis
AI contribution to engineering output
Quality analysis
Faster doesn't mean fragile
Compare AI-assisted and human-written code across defects, maintainability, and rework. Prove that speed isn't costing you quality.
AI vs human quality comparison
Defect and rework analysis
Quality trends over time
"I can see the impact that AI is having on productivity… how much it influences the code that we're producing."
Jordi Miro
CTO, Zynap
"I'll pay for every AI tool you want. What I ask in return is: show me how you're going faster."
Andrew Eye
CEO & Founder, ClosedLoop
Questions engineering leaders ask
Does Pensero measure AI impact or just AI usage?
How is this different from per-tool AI adoption dashboards?
How does Pensero separate AI's contribution from normal team improvement?
How quickly can we start seeing useful data?
