Delivery Intelligence, see what actually shipped| 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) Delivery Intelligence: Human, AI-assisted and agent attribution # When an agent opens the PR, who delivered it? An engineer scopes the task. An agent writes the code. A bot reviews it. It merges. Every delivery metric you report just became unreadable. Pensero credits orchestrated delivery to the person who invoked the agent, splits it into human, AI-assisted and agentic, and weights every unit by magnitude and complexity. [Book a demo](/book-demo) ## 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) ## Know what's actually shipping Magnitude & complexity scoring New Stuff·Self-serve onboarding Add workspace setup to self-serve onboarding ATAva ThompsonCreator · 5 activities - Pull request #4291MergedOpened by Devin for Ava Thompson10.0 - PR: Add workspace setup step12 files · +284 −926.0 - Ticket edit · ONB-412Description and acceptance updated5.4 - Comment on ONB-412Agreed approach with the Growth team3.0 - 3 Slack messages#growth-onboarding channel0.0 Pensero score Magnitude**Large • 5.0** Complexity**Medium • 2.0** Gross score**(5.00 × 2.0)10.0** ![The work item "Add workspace setup to self-serve onboarding" with its activities and delivery points. Its Pensero score is 10.0: magnitude Large • 5.0, complexity Medium • 2.0.](/assets/pensero-score-corner.CUebNGn-_ZsGAaO.webp) ### Filter noise, measure value Volume is not delivery. Pensero scores what shipped by magnitude and complexity, with boilerplate, repetitive changes and auto-generated noise excluded. A high-volume agent doing trivial work doesn't outrank the engineer who shipped the hard thing. - Magnitude and complexity scoring - Business value measurement - Boilerplate and auto-generated noise filtering Scope of work breakdown Roadmap alignment · Oct 12 – Oct 18 78% of delivery aligned to roadmap Weekly **73.0%**Industry **57%** vs prev. period+6pp JanMarAprMayJunJulAugSepOct - Aligned - Not aligned Top work alignedPoints Self-serve onboarding842.6 Payments platform v2731.2 Mobile offline mode518.9 Usage-based billing402.4 SSO for enterprise287.5 ![Pensero roadmap alignment chart with example data: 78% of delivery aligned to roadmap, +6pp vs the previous period, against a weekly average of 73.0% and an industry median of 57%. Weekly bars show the aligned and not aligned share of delivery over 9 months. Top work aligned, in delivery points: Self-serve onboarding 842.6, Payments platform v2 731.2, Mobile offline mode 518.9, Usage-based billing 402.4, SSO for enterprise 287.5.](/assets/roadmap-alignment-corner.C8cjk2Os_Z2tA1Qp.webp) ### See where effort actually goes Break down work across features, tech debt, bugs, maintenance and AI initiatives, and see how much of each was delivered by humans, assistants or agents. Know whether capacity is going where you said it would. - Work categorization - Human and agent capacity allocation - Strategic initiative tracking Native attribution Delivery / HeadcountPer HCHeadcount 12.1 pts Weekly average **9.6 pts** JanMarAprMayJunJulAugSepOct - Avg. Delivery W40Sep 28 – Oct 4 12.4 ptsAvg. Delivery ![Weekly delivery points per person: 12.1 pts this period, 9.6 pts on average each week.](/assets/delivery-per-person-corner.BsCz5avW_uM0dO.webp) ### Credit the person who directed the agent Work an engineer directs through an agent counts as their delivery. Defects introduced by that agent count too. Credit and accountability stay attached to the same person, and the work that enables delivery is visible, not just the code that gets written. - Orchestrated delivery credit - Individual contribution visibility - Human, AI-assisted and agent attribution Strategic alignment tracking Delivery Where the team shipped this quarter 5 epics · 2,782.6 pts shipped | Epic | Contributors | Delivery | | --- | --- | --- | | Self-serve onboarding | ZNLC+4 | 842.6 | | Payments platform v2 | ATNK+3 | 731.2 | | Mobile offline mode | SM+1 | 518.9 | | Usage-based billing | EBMP | 402.4 | | SSO for enterprise | NKLS | 287.5 | ![Delivery points by epic: Self-serve onboarding 842.6, Payments platform v2 731.2, Mobile offline mode 518.9, Usage-based billing 402.4, SSO for enterprise 287.5.](/assets/epic-delivery-corner.C36aUOOl_lO1lH.webp) ### Build what matters most Connect work to company objectives, whoever or whatever delivered it. See whether human and agent effort is focused on the projects that drive real business impact. - Initiative alignment - Delivery by objective - Strategic progress visibility ![Stord](/assets/stord.BXJiX-0z.svg) > "Efficiency multiplier for my engineering organization." ![](/assets/nick-traylor.C0_VmQDQ_1MV60T.webp)Nick TraylorHead of Engineering, Stord [Read story →](/customers/stord)![Zynap](/assets/zynap.Bwa6Rd5C.svg) > "Pensero is my compass in order to know where the team is heading to." ![](/assets/jordi-miro.nVko--u3_1MbJE6.webp)Jordi MiróCTO, Zynap [Read story →](/customers/zynap) ## Questions engineering leaders ask How is this different from DORA or flow metrics? Pensero includes workflow visibility and DORA-relevant context, but extends beyond flow by scoring the complexity and magnitude of what was actually delivered, not just how fast work moved through the pipeline. It measures the value of output, not only its pace. Does this require my team to change how they work? No. Pensero connects your existing repositories, tickets, and communication sources and normalizes them into comparable views, with no surveys and no manual reporting overhead. Can Pensero measure contribution that isn't code? Yes. Pensero pulls in tickets, messages, documents, and conversations alongside code, so you can see contribution across roles and collaboration patterns, not just PRs or commits. How quickly do we see useful signal? Most teams connect core tools in about an hour, see early insights within a day, and reach board-ready reporting in about a week, with historical data available from day one. ## More on Pensero's platform - [Agentic ROI →Measure the return on agentic AI spend.](/platform/agentic-roi) - [AI Deployment →Understand the true impact of AI on engineering performance.](/platform/ai-intelligence) - [Talent & Benchmarking →Benchmark and calibrate engineering performance fairly.](/platform/talent-benchmarking) - [Code Quality →Track maintainability, defects, and rework over time.](/platform/code-quality) - [Financial Reporting →Turn engineering activity into R&D and capitalization reporting.](/platform/capex-analysis) ## Get months of engineering performance data now Stop deciding on gut feel. Get 90 days of objective data in minutes. 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