AI Deployment, prove your AI investment paid off| Pensero[Skip to content](#main)

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- Platform

  Measure

  - [Next movesWhat to improve, why, and what to do next](/platform/next-moves)
  - [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 teams, agents and models](/platform/talent-benchmarking)
  - [Code QualityDefects and rework by source](/platform/code-quality)
  - [CapEx & FinanceCapitalization and spend allocation](/platform/capex-analysis)

  [Pensero MCPNewYour next moves in any assistant](/platform/mcp)
- Use cases

  By role

  - [CEOs](/use-cases/roles-ceo)
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  - [Engineering managers](/use-cases/roles-engineering-managers)
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  Compare Pensero

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[Log in](/auth/login/)[Book a scoping session](/book-demo)

AI Deployment

# See what your AI rollout actually delivered

Licenses and adoption rates are inputs. Pensero measures the output: what reached production, what it cost and whether quality held.

[Book a scoping session](/book-demo)

## Engineering teams already measuring with Pensero

- ![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)
- ![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)

- ![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)
- ![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)

- ![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)
- ![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)

- ![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)
- ![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)

## What efficient AI deployment looks like

Adoption and usage tracking

How many active devs are AI-assisted?

79.8% of active devs

JanMarAprMayJunJulAugSepOct

- AI-assisted devs
- Agentic only
- Not AI-assisted

W43Oct 19 – 25

79.8%AI-assisted devs

6.0%Agentic only

![Pensero AI adoption chart with example data: 79.8% of active developers are AI-assisted this week, up from 56% in January.](/assets/ai-adoption-corner.B_9g3WUF_16E9vO.webp)

### Track adoption across teams and agents

See which AI assistants and agents each team uses, read from telemetry instead of surveys, and where adoption is stalling.

Efficiency metrics

How much does it cost to deliver a point?$/point$/1M tokenstokens/point

$1.42 per point

JanMarAprMayJunJulAugSepOct

- $/point

W43Oct 19 – 25

$1.50$/point

79.8%AI-assisted devs

![Pensero AI efficiency chart with example data: AI costs $1.42 per delivery point this period, down from $2.30 in January, while 79.8% of active developers are AI-assisted.](/assets/ai-efficiency-corner.DICN_oFp_18BBlQ.webp)

### Cost per unit of work, measured

Tokens, cost per team and cost per agent, tied to what shipped, so you know each model fits its work.

Productivity impact

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

W43Oct 19 – 25

4,050.7Agentic

1,370.3AI-augmented review

402.7AI-assisted

186.3Human-only

![Pensero AI delivery chart with example data: weekly PR delivery points split into human-only, AI-assisted, AI-augmented review and agentic work. Agentic work grows from a small share in January to most of the delivery in October.](/assets/ai-delivery-corner.CzH5NVng_1wR0Q.webp)

### Separate real output from activity

AI and agent usage tied to delivered output, weighted by difficulty. 100 trivial changes are not 10 hard ones.

Quality analysis

How much delivery cost to fix bugs?

6.2% of delivery this period cost to fix bugs

MayJunJulAugSepOct

- Own defect cost %
- Orchestrated defect cost %

W43Oct 19 – 25

6.1%Own defect cost %

1.6%Orchestrated defect cost %

79.8%AI-assisted devs

![Pensero AI quality chart with example data: 6.2% of delivery this period went to fixing bugs, split into own and orchestrated agent defects, while 79.8% of active developers are AI-assisted.](/assets/ai-quality-corner.DcqtXcS__Z158f0o.webp)

### Check that faster is not fragile

Defects and rework for human, AI-assisted and agent-written code, so you know the speed is real.

- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “Until Pensero, that visibility did not exist.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![ClosedLoop](/assets/closedloop.LndNNhWa.svg)
  > “At the team level, the only real question is: are we going faster?”

  Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop)
- ![Stord](/assets/stord.BXJiX-0z.svg)
  > “Are we using AI, is it accelerating us and are we still delivering quality code?”

  Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord)
- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “AI is going to completely change the way we work.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)
  > “We need a way that is objective to see that we’re increasing productivity.”

  Jordi AbadCTO, SEAT CODE[Read story →](/customers/seatcode)
- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “Until Pensero, that visibility did not exist.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![ClosedLoop](/assets/closedloop.LndNNhWa.svg)
  > “At the team level, the only real question is: are we going faster?”

  Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop)
- ![Stord](/assets/stord.BXJiX-0z.svg)
  > “Are we using AI, is it accelerating us and are we still delivering quality code?”

  Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord)
- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “AI is going to completely change the way we work.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)
  > “We need a way that is objective to see that we’re increasing productivity.”

  Jordi AbadCTO, SEAT CODE[Read story →](/customers/seatcode)
- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “Until Pensero, that visibility did not exist.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![ClosedLoop](/assets/closedloop.LndNNhWa.svg)
  > “At the team level, the only real question is: are we going faster?”

  Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop)
- ![Stord](/assets/stord.BXJiX-0z.svg)
  > “Are we using AI, is it accelerating us and are we still delivering quality code?”

  Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord)
- ![Exoticca](/assets/exoticca.PyF3BVAE.svg)
  > “AI is going to completely change the way we work.”

  Raul GómezVP of Technology, Exoticca[Read story →](/customers/exoticca)
- ![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)
  > “We need a way that is objective to see that we’re increasing productivity.”

  Jordi AbadCTO, SEAT CODE[Read story →](/customers/seatcode)

## Questions engineering leaders ask

Does Pensero measure AI impact or only AI usage?

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.

How is this different from per-tool AI adoption dashboards?

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.

How does Pensero separate AI's contribution from normal team improvement?

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.

How quickly can we start?

Connect your tools and your AI usage history is available from day one. The 6-week audit turns it into a baseline per team.

## More on Pensero's platform

- [Next moves →What to improve, why, and what to do next](/platform/next-moves)
- [Agentic ROI →Cost per unit of delivered work](/platform/agentic-roi)
- [Delivery Intelligence →Output and flow by source](/platform/delivery-intelligence)
- [Benchmarking →Compare teams, agents and models](/platform/talent-benchmarking)
- [Code Quality →Defects and rework by source](/platform/code-quality)
- [CapEx & Finance →Capitalization and spend allocation](/platform/capex-analysis)
- [Pensero MCP →Your next moves in any assistant](/platform/mcp)
- [Not sure where to start?Book a scoping session →](/book-demo)

Next step

## Find where the next agent belongs

See where adoption stalls and whether agent work holds quality, then deploy the next agent with our team.

[Book a scoping session](/book-demo)[Start free](/auth/signup/)

© 2026

Product shots use illustrative data.

Platform

- [Next moves](/platform/next-moves)
- [Agentic ROI](/platform/agentic-roi)
- [AI Deployment](/platform/ai-intelligence)
- [Delivery Intelligence](/platform/delivery-intelligence)
- [Benchmarking](/platform/talent-benchmarking)
- [Code Quality](/platform/code-quality)
- [CapEx & Finance](/platform/capex-analysis)
- [Pensero MCP](/platform/mcp)New
- [Integrations](/integrations)

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

- [About](/about)
- [How it works](/how-it-works)
- [Careers](/careers)
- [Blog](/blog)
- [LinkedIn](https://www.linkedin.com/company/penseroai/)
- [Support](/support)
- [Other resources](/blog/other-resources)
- [Glossary](/glossary)

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