The AI-era engineering performance platform | Pensero [Let's talk](../book-demo) [Login](/auth/login/) [Login](/auth/login/) [Let's talk](../book-demo) [Login](/auth/login/) User adoption 92% 236 of 257 engineers 12 devs this quarter AI cost $4,425 extra spend, quarter to date 25% from last quarter Token efficiency 4.2k tokens per delivery point Defect rate 1.8% of total delivery 10.6pp improvement Token efficiency improving every week ↓ 4,218 tokens / pt today vs 10k+ in Nov NovDecJanFebMarAprMay Tokens per delivery point AI spend stays lean as adoption scales $4,425 total · $101.71 per engineer NovDecJanFebMarAprMay Weekly AI usage cost AI-assisted PRs now drive 82% of delivery 1,859 pts shipped with AI this quarter NovDecJanFebMarAprMay PR deliveryOOO lossAI-assisted trend Defects shrinking as AI usage rises From 12.4% → 1.8% defect rate since Nov NovDecJanFebMarAprMay Defect costBug fixingAI adoption platform / AI adoption # Prove the true business value of AI # Prove the true business value of AI [Tracks AI adoption, productivity impact, quality outcomes, and cost efficiency across engineering teams.](https://pensero.ai/?hubspotutk=c1f0028b99e7118bf1afb216a605208e&ph_distinct_id=019e8d19-544b-79b6-a444-7bdd504210fa&ph_session_id=019e9203-9740-7404-abba-85717098b081&ph_source=framer_landing#pr1) ## Pensero gives you answers One dashboard connects adoption, delivery, quality, efficiency and cost, all drawn from the engineering work your team already does. No surveys, no surveillance. How AI impacts your delivery? PR delivery growing alongside AI adoption — 1,859 pts shipped this quarter · 2.1x since Dec DecJanFebMarAprMay PR deliveryAI adoption PR delivery trending with AI usage Track how PR delivery volume changes as AI adoption rises across your teams. Is AI creating more bugs? Is AI creating more bugs? Defect rate rising with AI adoption — Average: 10.8 · Up 0.1pp this period DecJanFebMarAprMay Bug fixesDefect cost %AI adoption Quality tax as AI adoption increases Monitor whether AI-assisted code is creating more rework, measured alongside your adoption curve. How many tokens does it take to deliver a point? How many tokens does it take to deliver a point? 5,892 tokens per delivery point — Average: 8,741 · Down 44% since Dec DecJanFebMarAprMay Tokens per point Tokens per delivery point Measure how many AI tokens it takes to ship a single delivery point, your unit economics for AI-assisted engineering. PR delivery growing alongside AI adoption — 1,859 pts shipped this quarter · 2.1x since Dec DecJanFebMarAprMay PR deliveryAI adoption PR delivery trending with AI usage Track how PR delivery volume changes as AI adoption rises across your teams. Defect rate rising with AI adoption — Average: 10.8 · Up 0.1pp this period DecJanFebMarAprMay Bug fixesDefect cost %AI adoption Quality tax as AI adoption increases Monitor whether AI-assisted code is creating more rework, measured alongside your adoption curve. 5,892 tokens per delivery point — Average: 8,741 · Down 44% since Dec DecJanFebMarAprMay Tokens per point Tokens per delivery point Measure how many AI tokens it takes to ship a single delivery point, your unit economics for AI-assisted engineering. Get instant insights on AI code % AI code % How much of the merged code is AI-Assited? How much of the merged code is AI-Assited? Delivery lift Is delivery increasing with AI or not? Is delivery increasing with AI or not? Defect rate Defect rate How much of that is spent fixing bugs? How much of that is spent fixing bugs? Efficiency How many tokens for a delivery point? How many tokens for a delivery point? Extra cost What's the cost beyond standard seat licenses? What's the cost beyond standard seat licenses? Tokens per delivery point · Who uses AI most efficiently? Compare AI efficiency against delivery volume across 512 active developers · Apr 01 – Jun 04 Low delivery, High efficiencyHigh delivery, High efficiencyLow delivery, Low efficiencyHigh delivery, Low efficiency0%25%50%75%100%AI Efficiency0%25%50%75%100%DeliveryESMRAKJWTLKPNVDPSRLMHCRGBTCFQZWMJPYHAD Tokens per delivery point · Who uses AI most efficiently? Compare AI efficiency against delivery volume across 512 active developers · Apr 01 – Jun 04 Low delivery, High efficiencyHigh delivery, High efficiencyLow delivery, Low efficiencyHigh delivery, Low efficiency0%25%50%75%100%AI Efficiency0%25%50%75%100%DeliveryESMRAKJWTLKPNVDPSRLMHCRGBTCFQZWMJPYHAD ## Who's getting value Map every developer on two axes, how efficiently they use AI and how much they deliver, to see who's getting real value from the tools. Token volume means nothing without delivery to show for it. ## The full AI lens Adoption & usage tracking Track the share of merged code that's AI-assisted and how many developers are actually using their tools, week over week. Daily extra costs Track the additional cost of AI tool usage across your org, broken down by period and each developer. Model usage breakdown Know which AI coding tools are being used broken down by AI models. # Get months of AI impact data now # Get months of AI impact data now # Get months of AI impact data now Stop guessing whether AI is working. Get 90 days of adoption, efficiency, and cost data in minutes. 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