The Intelligence behind Agentic Deployment | Pensero[Skip to content](#main) [Pensero](/) - Platform Measure - [Agentic ROICost per unit of delivered work](/platform/agentic-roi) - [AI DeploymentAdoption, output and quality of AI](/platform/ai-intelligence) - [Delivery IntelligenceOutput and flow by source](/platform/delivery-intelligence) Govern - [BenchmarkingCompare agents, models and humans](/platform/talent-benchmarking) - [Code QualityDefects and rework by source](/platform/code-quality) - [CapEx & FinanceCapitalization and spend allocation](/platform/capex-analysis) [Pensero MCPNewQuery your data from any assistant](/platform/mcp) - Use cases By role - [CEOs](/use-cases/roles-ceo) - [CTOs](/use-cases/roles-cto) - [CFOs](/use-cases/roles-cfo) - [Product leaders](/use-cases/roles-product-leaders) - [Engineering managers](/use-cases/roles-engineering-managers) - [Investors](/use-cases/roles-investors) Compare Pensero - [DX](/use-cases/competitors-dx) - [Swarmia](/use-cases/competitors-swarmia) - [Haystack](/use-cases/competitors-haystack) - [Span](/use-cases/competitors-span) - [Jellyfish](/use-cases/competitors-jellyfish) - [Waydev](/use-cases/competitors-waydev) - [LinearB](/use-cases/competitors-linearb) - [Faros AI](/use-cases/competitors-farosai) - [Sleuth](/use-cases/competitors-sleuth) - [Larridin](/use-cases/competitors-larridin) - [Weave](/use-cases/competitors-weave) - [Exceeds AI](/use-cases/competitors-exceeds-ai) - [GitHub Copilot](/use-cases/competitors-github-copilot) - [Customers](/customers) - [Sources](/integrations) - [Pricing](/#pricing) - Resources - [BlogNews, tips, and dev culture](/blog) - [ROI CalculatorEstimate your cost savings](/landing/roicalculator) [Log in](/auth/login/)[Book a demo](/book-demo) [Log in](/auth/login/)[Book a demo](/book-demo) [WebinarProving the ROI of AI, with Cledara ↗](https://www.cledara.com/webinars/proving-roi?utm_source=pensero&utm_medium=partner&utm_campaign=proving-roi-oct-2026) # The Intelligence behind Agentic Deployment Pensero helps you choose the best and most efficient combination of humans and agents that yields the most effective output. [Let's talk](/book-demo) Pensero Signals AI adoption AI intelligence AI-assisted Agents Engineering intelligence Work Quality Efficiency Reviews Company Contributors Benchmark Calibrate Settings Org settings Integrations Data health Help center MDMaria Diaz AI intelligence 512 Eng. + AgentsJul 28 – Oct 25 AI economicsContributorsAI budget Efficiency38% $1.42 $/point AI cost21% $255.6k in this period Compliance8pp 92% 471 of 512 Excess spend over budget7% $31.6k over the plan Delivery mix How work spreads across maturity levels 1-5: human-authored, AI-assisted and agents How much delivery lands at each agentic maturity level? 6,010 pts · 67% at level 4+ · 33% below JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents How is delivery progressing across the agentic maturity levels? You're at level 4 of 5 · Orchestrated agents — Next: let agents ship low-risk PRs without a human (level 5) JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents Efficiency & cost How efficiently we're using AI and what it costs How much does it cost to deliver a point? $1.42 per point JanMarAprMayJunJulAugSepOct What is our AI model usage costing? $5,870 in this period JanMarAprMayJunJulAugSepOct - AI-assisted cost - Agentic cost $/point distribution KTLO$2.86 Dev Productivity$2.12 Improvement$1.58 New Stuff$1.21 Other$0.94 Daily AI cost MonWedFri OctNovDecJanFebMarAprMayJunJulAugSep - No usage - Included in plan - Low - Moderate - High - Very high Adoption Who's using AI coding tools and who's using agents How many active devs are AI-assisted? 79.8% of active devs JanMarAprMayJunJulAugSepOct - AI-assisted devs - Agentic only - Not AI-assisted How many active developers are using agents? 46% of active devs JanMarAprMayJunJulAugSepOct - Agentic users - Non-agentic users Who's getting value? Distribution of AI efficiency across developers Cost per delivery point Cost efficiency ($/pt) Low delivery, High efficiency High delivery, High efficiency Low delivery, Low efficiency High delivery, Low efficiency MDJWLOOHSRDKEMLSPNNBAKTN Delivery ![Pensero AI intelligence page with example data: AI cost per point, AI cost, compliance and spend over budget, then weekly delivery by agentic maturity level, from human-authored work to autonomous agents, the cost per point, the daily AI cost, AI and agent adoption, and the cost efficiency of each person.](/assets/ai-intelligence-bottom.B0bvok0d_10kwoR.webp) ## Measuring the agentic workforce at fast-growing companies around the world - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) --- ## Agentic ROI Proves what your agentic AI investment returned — cost per unit of delivered work, comparable across humans, AI-assisted and agents. Battle-tested across millions of datapoints, so the return is evidence, not a vendor's projection. [Learn more →](/platform/agentic-roi) AI-assisted 512 Eng. + AgentsJul 28 – Oct 25 SummaryModel fitRaw data People using AI tools0pp 79.8% of contributors Tokens / point252% 48,600 tokens per delivery point $ / token58% $29.22 per 1M tokens Efficiency38% $1.42 $/point, AI tools only Top model44pp GPT-6 Luna 46% of AI tokens AI-assisted delivery PR delivery written with coding assistants (Cursor, Claude Code, Copilot…) and who uses them How much delivery is AI-assisted? 1,773 AI-assisted PR points, 30% of PR delivery JanMarAprMayJunJulAugSepOct - Human-only - AI-assisted - AI-augmented review - Agentic How many active devs are AI-assisted? 79.8% of active devs JanMarAprMayJunJulAugSepOct - AI-assisted devs - Agentic only - Not AI-assisted Unit economics What AI coding tools cost per token and per delivery point How much does it cost to deliver a point?$/point$/1M tokenstokens/point $1.42 per point JanMarAprMayJunJulAugSepOct $/point by model Codex Auto Review$3.43/point GPT-5.1 So…$2.38/point Claude Opus 4.5$1.99/point GPT-6 Luna$0.06/point ![Pensero AI-assisted page with example data: 79.8% of people use AI tools, 48,600 tokens per point, $29.22 per 1M tokens, $1.42 per point and GPT-6 Luna as top model, weekly AI-assisted delivery and adoption, the cost to deliver a point and the cost per point by model.](/assets/ai-assisted-corner.CTGnLjQV_EinTs.webp) ## AI Deployment Tracks agent and assistant adoption, delivered output, quality outcomes, and cost per unit of work to prove what your AI investment actually returned. [Learn more →](/platform/ai-intelligence) How much delivery lands at each agentic maturity level? 6,010 pts · 67% at level 4+ · 33% below JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents Top agents Devin388 pts Claude Code341 pts Cursor276 pts Copilot228 pts ![Pensero Agents page with example data: weekly delivery by agentic maturity level, and the top agents by delivery points: Devin, Claude Code, Cursor and Copilot.](/assets/ai-deployment.CoZTpDja_Z7W0nx.webp) ## Delivery Intelligence Provides real-time visibility into output, flow, and roadmap alignment, separating human, AI-assisted, and agent contribution so you can see where delivery compounds and where it stalls. [Learn more →](/platform/delivery-intelligence) Work 512 Eng. + AgentsJul 28 – Oct 25 SummaryAll WorkAlignedOff-RoadmapAnnotations Total delivery18% 5,812 points completed Delivery per person9% 12.1 points per week Roadmap alignment6pp 78% of delivery aligned New stuff4pp 46% building new capabilities KTLO3pp 18% on maintenance & ops Delivery Total output and output per engineer over time How much did the team deliver? 5812.4 pts JanMarAprMayJunJulAugSepOct - Human delivery - AI-assisted delivery - Agentic delivery - Out of office - delivery loss Categories of work What kind of work got done, and how it was delivered How is delivery split across work categories? 46.2% New Stuff this period JanMarAprMayJunJulAugSepOct - New Stuff - Improvement - KTLO - Dev Productivity Top work aligned Self-serve onboarding842.6 Payments platform v2731.2 Mobile offline mode518.9 Usage-based billing402.4 SSO for enterprise287.5 ![Pensero Work page with example data: 5,812 points delivered, 12.1 points per person each week, 78% roadmap alignment, 46% new stuff and 18% KTLO, weekly delivery by human, AI-assisted and agentic work, and the top roadmap items by delivery.](/assets/work-corner-left.BFRQV8cX_1yDNhD.webp) | Metric | Your value | Pensero median | Your percentile (6M) | | --- | --- | --- | --- | | Delivery per headcount | 58.3 | 41.2 | P84 | | AI user adoption | 88% | 62% | P86 | | AI cost per delivery | $1.12 | $1.46 | P72 | | Agentic cost per delivery | $0.84 | $1.10 | P78 | | Defect cost % | 9% | 13% | P66 | ![Pensero Benchmark table with example data: delivery per headcount, AI user adoption, AI and agentic cost per delivery, defect cost, cycle time and roadmap alignment, each against the Pensero median, with your percentile.](/assets/benchmark-corner.DzAQgr2x_ZRLxeF.webp) ### Talent & Benchmarking Compare agents, models and vendors on identical work, on the same scale as humans, so you can see where the line should sit. [Learn more →](/platform/talent-benchmarking) Quality vs Delivery Code Quality Quality Focused High Performers Needs Attention Quantity over Quality MDJWLOOHSRDKEMLSPNNBAKTN Delivery ![Pensero Quality vs Delivery chart with example data: one dot per person, placed by delivery and code quality, in four groups from high performers to needs attention.](/assets/quality-distribution-corner.B34Lqv6q_1oXLS2.webp) ### Code Quality Measures code health, review effectiveness, defect trends, and rework, tracing each back to the human or agent that caused it so speed never comes at the cost of quality. [Learn more →](/platform/code-quality) CapEx report 512 Eng. + AgentsPrevious week · Oct 12 – Oct 18 SummaryContributorsEpicsWork items % Capitalizable0.7 pp of delivery 77% Capitalized$1,181 81% of cost $9,944 Expensed$1,180 19% of cost $2,329 Engineering cost $15,342 Cost / point$0.86 1,701 points $9.02 Total cost / point$3.18 incl. $1,344 AI $16.33 Agent cost / point$0.25 $1,442 across 1,134 points $1.27 ![Pensero CapEx report with example data: 77% of delivery is capitalizable, $9,944 capitalized, $2,329 expensed, engineering cost and cost per point for people and agents.](/assets/capex-corner.C3uFYzgr_6Wrbc.webp) ### CapEx & Finance Delivers finance-ready reports that track CapEx, R&D capitalization, and how agent and human spend allocates across projects, for audit compliance and executive decision-making. [Learn more →](/platform/capex-analysis) Featured · Pensero MCP ## Your engineering intelligence, now queryable. Query your live Pensero data straight from Claude, ChatGPT or any MCP-compatible assistant. Ask about agent performance, cost per unit of work, quality or benchmarks in plain language. Pensero MCPsummarize_quarter What should I highlight in my board update? Claude [Discover Pensero MCP →](/platform/mcp) ## Agent budgets are approved on promise today. Pensero turns them into a portfolio with a return. Average increase in delivered output : 30% Reduction in agent spend that produced nothing : 25% Improvement in cost per unit of delivered work : 60% --- Customer stories ## Loved by high-performing teams What changed when output became measurable: in their words, with their numbers. [View all customer stories →](/customers) ![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg) > “Pensero is giving us visibility into how we are using AI and how we are spending money on it.” ![](/assets/jordi-abad.BHIFVIdm_2nkKgW.webp)Jordi AbadCTO [Read story →](/customers/seatcode) [![](/assets/seat-code.CV6A0tkb_P4vEy.webp)](/videos/seat-code-story.mp4)Watch video0:30, SEAT CODE customer story video ![Persuit](/assets/persuit.qooajJ_O.svg) > “Demystifying engineering productivity.” ![](/assets/justin-nguyen.ChZzLMi7_Z1yan9e.webp)Justin NguyenDirector of Engineering [Read story →](/customers/persuit)![Stord](/assets/stord.BXJiX-0z.svg) > “Finally a tool that truly increases velocity.” ![](/assets/nick-traylor.C0_VmQDQ_Z1U4UDt.webp)Nick TraylorHead of Engineering at Stord [Read story →](/customers/stord)![ClosedLoop](/assets/closedloop.LndNNhWa.svg) > “Pensero is story points after the fact. With Pensero we go 4x faster.” ![](/assets/andrew-eye.BQqnuKla_1YTD2i.webp)Andrew EyeCEO and Founder at ClosedLoop [Read story →](/customers/closedloop)![Cubbo](/assets/cubbo.DrZVo-Jj.svg) > “It’s a way to sit with an engineer and show them everything they’ve done, and learn from it.” ![](/assets/ignasi-vegas.DEfJ5-MR_Zmg2tg.webp)Ignasi VegasCEO and Co-founder at Cubbo [Read story →](/customers/cubbo) ## Don’t just take our word for it Effortless observability > “Pensero gives me daily peace of mind. I know exactly what the team is working on. The built-in reporting & analytics make team observability effortless, and the leaderboards give us the clarity we need for performance reviews and promotions decisions.” ![](/assets/jose-luis-vilar.CHgGZxJa_ZoczGk.webp)Jose-Luis VilarCo-Founder and CPTO, Caravelo Live in one day > “Pensero gives me a clear, non-engineer’s view of team productivity. It helps me spot champions who adopt new tools fastest and turn their practices into inspiration for the rest of the team. > > Rather than being a policing tool, it provides a data-driven foundation for bragging rights, better conversations, and benchmarking against peers worldwide. And the best part: it was truly plug-and-play — we were live in just one day.” ![](/assets/jean-francois-legourd.DBibnSA8_Z1kLG2n.webp)Jean-François LegourdCo-founder, Elfie Conversations backed by evidence > “Pensero offers a modern approach to performance management by providing real-time, actionable insights and continuous improvement. Its features are designed to enhance clarity, accountability, and productivity within teams. > > As a manager that helped me have honest and actionable feedback with my teams enabling them for growth.” ![](/assets/natxo-treig.Dh5pjaie_1lA7HF.webp)Natxo TreigSr. Engineering Manager, Perk From 70% to 30% maintenance > “15 engineers. $50M a year. We didn’t know exactly how our work was different from where we wanted to go. In one view, we can show engineers everything they did… and they learn a lot of insights. > > Now we went from 70% to 30% maintenance… it’s where we want it to be. It’s like the lighthouse of our engineering team.” ![](/assets/ignasi-vegas.DEfJ5-MR_Zmg2tg.webp)Ignasi VegasCo-founder and CEO, Cubbo Top 5% globally, verified > “I was being told we were slow to ship, but I didn't have any visibility as to why that was. Pensero is story points after the fact — we go 4x faster. > > Engineers love it because they get to brag: they can say they're in the top 5 percent globally, based on an independent third party. Pensero is why you want to work here.” ![](/assets/andrew-eye.BQqnuKla_1YTD2i.webp)Andrew EyeCEO and Founder, ClosedLoop Sources ## Every agent, assistant and human in one system of record Your entire delivery stack, translated into comparable signals. No new workflow, no instrumentation project. [Explore all integrations →](/integrations) - GitHub - GitLab - Bitbucket - Azure DevOps - GitHub Copilot - Cursor - Claude Code - Gemini Code Assist - OpenAI Codex - Devin - SonarQube - Jira - Linear - YouTrack - GitHub Projects - Confluence - Notion - Google Drive - Slack - Microsoft Teams - Google Chat - Google Calendar - Microsoft 365 Calendar - Okta ![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg) ![](/assets/claude.DOlzKZ_u.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/github.DZev-bo2.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/github.DZev-bo2.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg) ![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/okta.IyxOoTbF.svg) ![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg) ![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg) ![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/github.DZev-bo2.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/jira.BAXK8NED.svg) ![](/assets/linear.DOKK1qh1.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/bitbucket.OVD1ZOhe.svg) ![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg) ![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gitlab.NmSfLEo1.svg) ![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/github.DZev-bo2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/github.DZev-bo2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg) --- How it works ## Get started in minutes. See insights in hours. 1. 1 hour ### Connect & Structure Repositories, tickets, chat and AI tools connect automatically. Every unit of work, human, AI-assisted or agent, is structured and scored on the same scale. 2. 1 day ### Analyse & Attribute Output separated by source: human, AI-assisted, agent-only. Cost per unit of delivered work, rework attribution, and where agents are creating bottlenecks upstream. 3. 1 week ### Calibrate & Decide Head-to-head agent comparison against benchmark. Which agents stay, where the next one goes, and what to keep human with board-ready numbers behind each answer. --- Pricing ## We fit your needs Simple plans. Scale as your team grows. ### Starter Free Everything you need to start. [Sign up](/auth/signup/) - Up to 5 users - 1 code repository - Delivery metrics - Quality metrics - Collaboration metrics - AI Impact tracking - Engineering investment tracking - Team and individual reports - 90-day data retention ### Growth Most popular $50 / seat / month For teams at scale. [Let's talk](/book-demo) - Everything in Starter - Unlimited users - Unlimited code repositories - SSO / SAML and directory sync - API/MCP access - 1-year data retention ### Enterprise Usage Based Pricing Get R&D capitalization and on-prem. [Contact us](/landing/enterprise) - Everything in Growth - R&D capitalization - On-prem and custom integrations - Devin integration included - Dedicated CSM and priority support - Custom onboarding and training - API access - MCP capabilities ## Get months of engineering performance data now Stop deciding on gut feel. Get 90 days of objective data in minutes. [Let's talk](/book-demo) © 2026 Platform - [Agentic ROI](/platform/agentic-roi) - [AI Deployment](/platform/ai-intelligence) - [Delivery Intelligence](/platform/delivery-intelligence) - [Talent & Benchmarking](/platform/talent-benchmarking) - [Code Quality](/platform/code-quality) - [CapEx Analysis](/platform/capex-analysis) - [Pensero MCP](/platform/mcp)New Use cases - [CEOs](/use-cases/roles-ceo) - [CTOs](/use-cases/roles-cto) - [CFOs](/use-cases/roles-cfo) - [Product Leaders](/use-cases/roles-product-leaders) - [Engineering Managers](/use-cases/roles-engineering-managers) - [Investors](/use-cases/roles-investors) - [Compare Pensero](/use-cases/competitors-dx) Company - [Careers](/careers) - [Blog](/blog) - [LinkedIn](https://www.linkedin.com/company/penseroai/) - [Support](/support) - [Other resources](/blog/other-resources) - [Glossary](/glossary) Offices - [Barcelona](https://maps.app.goo.gl/6pfxKiKFNKzLPPnB6) - [Madrid](https://maps.app.goo.gl/jEpYBUR4E6AqZs4R6) - [New York](https://maps.app.goo.gl/szk58Jf2MBq14MgAA) - San FranciscoSoon Legal - [Privacy policy](/privacy-policy) - [Cookie policy](/cookie-policy) - [Terms of service](/terms) - [DPA](/dpa) - [Security](https://pensero.trust.site)