For CTOs, CFOs and AI transformation leaders
Pensero shows what every team, AI tool and agent delivers, and helps you pinpoint the next move.
Seats, tokens, agent sessions and contractor hours all land on the invoice. Pensero shows what each one delivered, per unit of work.
Customer result
US conglomerate · 1,500 engineers · 53 entities · 3 months with Pensero
Pensero client data · 156.3K delivery points · 11.2 points per engineer per week · 45% AI-written code.
Most teams are at Level 2: paying for AI tools without the return yet.
Find your level →L1
Humans write all the code
1x output
L2
Engineers write with AI tools like Copilot or Cursor
+30% outputMost teams are here
L3
Humans write, AI checks the work
+50% output
L4
Agents carry out whole tasks, humans direct and review
3x output
L5
Agents start and deliver work, humans govern
4x output
Every finished task scored by size and difficulty, with its cost and quality, whether a person, an AI tool or an agent did it.
See Agentic ROI →
Every piece of AI-written work is checked before it ships, and rework is tracked by source.
See Code Quality →
Use what each dollar returned to decide, with our team, what to scale, change, hand to agents or stop.
See Next moves →Total cost per delivery point · Varrow Freight Group
Ask Pensero in Claude, ChatGPT or any MCP assistant and get the answer, the reason and the next move.
25% velocity gain and automated R&D capitalization
4x faster delivery with human and agent teams
2.5x delivery points per engineer, quality held
39% shorter cycle time
Pensero reads GitHub, GitLab, Jira, Linear, Copilot, Cursor, Claude Code and Devin, including contractors with repo access. Your teams change nothing.
See all integrations →A 6-week audit, then we build and roll out with your teams, and measure the results at month 3 and 6.
Weeks 1 to 6
A baseline per team and a plan for what stays human and what goes to agents.
Weeks 7 to 26
Safe agent workflows, rolled out with your teams by a forward-deployed engineer.
Months 3 and 6
The same numbers, measured again, so the next investment rests on evidence.
1 hour
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.
1 day
Output separated by source: human, AI-assisted, agent-only. Cost per unit of delivered work, rework attribution, and where agents are creating bottlenecks upstream.
1 week
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.
Pensero shows which mix of people, AI and agents pays off for each team, then helps you get there and proves the result.
“We moved our own team from Level 2 to Level 4. Same team, same cost, about 3x the output.”
Dave GarciaCo-founder and Co-CEOIn 6 weeks you know where each team stands and what AI could deliver. Fixed fee, agreed up front.
For smaller teams that want to start on their own. No audit needed.
The audit
Start here6 weeks
Fixed fee, agreed up front
The programme
Weeks 7 to 26Per phase
Billed per phase
The platform
After handoverAnnual
No per-seat charge
Starter
Self-serveFree
Everything you need to start
Pay as you go
Most popularPay per use
Billed monthly on what you use
Enterprise
With our teamCustom
Start with a 6-week audit
Pensero Cloud, EU, your cloud or on-prem · SOC 2 · GDPR
Pensero helps companies get more from their engineering and AI budget. It is the operating system for the agentic software development lifecycle (agentic SDLC): it measures the work of humans, AI-assisted engineers and agents on one scale, pinpoints the next move and helps you prove it worked.
A delivery point is one unit of finished work, scored by size and difficulty. Pensero reads it next to cost and quality, and traces it to the pull request and ticket behind it.
They describe who does the work: human-only, AI-assisted, AI reviews, orchestrated agents and fully autonomous agents. Most organizations run several levels at once, and the highest level is not always the right one.
No. Pensero reports output, cost and quality per team in business terms, so CEOs, CFOs and boards can see what the engineering and AI budget returns.
No. Pensero measures by team, cohort and type of work. The question is whether the organization uses AI well, not who is slow.
You get an audited baseline in 6 weeks. After each change, we measure again at day 30, with program checkpoints at 3 and 6 months.
GitHub, GitLab, Jira, Linear, Copilot, Cursor, Claude Code and Devin, including contractors with repo access. Your teams do not change how they work.
In Pensero Cloud, in an EU-based deployment, in your own cloud account or on-premises.
Yes. With the same team and the same cost, we roughly tripled delivered output after moving to orchestrated agents.
In 3 steps: a fixed-fee audit, a program billed per phase, then an annual platform license with no per-seat charge. We scope the audit in a 30-minute session.
