AI Deployment
Licenses and adoption rates are inputs. Pensero measures the output: what reached production, what it cost and whether quality held.
Adoption and usage tracking
See which AI assistants and agents each team uses, read from telemetry instead of surveys, and where adoption is stalling.
Efficiency metrics
Tokens, cost per team and cost per agent, tied to what shipped, so you know each model fits its work.
Productivity impact
AI and agent usage tied to delivered output, weighted by difficulty. 100 trivial changes are not 10 hard ones.
Quality analysis
Defects and rework for human, AI-assisted and agent-written code, so you know the speed is real.
“Until Pensero, that visibility did not exist.”
“At the team level, the only real question is: are we going faster?”
“Are we using AI, is it accelerating us and are we still delivering quality code?”
“AI is going to completely change the way we work.”
“We need a way that is objective to see that we’re increasing productivity.”
Both. Pensero separates human, AI-assisted and agent work, then connects each to delivered value, defects and cost, so you see whether AI use is paying off.
Per-tool trackers for Copilot, Cursor or Claude Code show usage. Pensero ties that usage to delivered value, quality and rework, so you see whether AI helped.
Pensero scores each unit of work by size and difficulty, splits it into human, AI-assisted and agent work, and links it to delivery and quality, so the effect of AI is measured, not assumed.
Connect your tools and your AI usage history is available from day one. The 6-week audit turns it into a baseline per team.