The Engineering Capacity Pilot

Prove it on your own backlog.

Start with one repository and a defined set of development-ready work. Your requirements. Your Tech Lead. Your QA process. Cleveri plans, executes and verifies the work, and the pilot ends with a measured view of what happened.

What a pilot includes

Real work, your process, a measured result.

  • One repository

    A real codebase with a working build and tests.

  • Development-ready work

    A defined set of backlog items your team already understands.

  • Your Tech Lead

    Approves each engineering approach before anything is built.

  • Your QA process

    Decides whether delivered work is accepted, exactly as today.

  • Cloud or private

    Cleveri Cloud, or private deployment for qualified pilots.

  • A defined period

    [X] weeks, ending in a measured results report.

How it runs

Five steps from kickoff to results.

  1. 01

    Choose a repository

    Pick one repository where delivery matters and the build and tests already run.

    Your team
  2. 02

    Select backlog items

    Agree a defined set of development-ready work items with your Tech Lead.

    Together
  3. 03

    Connect the environment

    Connect your work tracker, repository, build and tests, and your AI models.

    Together
  4. 04

    Plan, approve, execute, verify

    Cleveri plans each item, your engineer approves, Cleveri executes and the platform verifies.

    Cleveri + your engineer
  5. 05

    Review the results

    Walk through the measured report with your own team and decide what comes next.

    Together

Intent stays human. Execution becomes elastic.

What you get

Judge Cleveri by what lands.

AI usage is a cost. Pull requests are a step. Accepted software is the outcome. Every pilot ends with a results report on the same six measures, from your own backlog.

Pilot results reportMeasured on your backlog
  1. 01
    Pull requests delivered

    How much engineering work Cleveri completed

  2. 02
    First-pass QA acceptance

    How often work arrives ready to accept

  3. 03
    Ready-to-PR cycle time

    How quickly approved work moves to review

  4. 04
    Human supervision per accepted change

    How much engineering attention Cleveri requires

  5. 05
    Jobs per accepted change

    How efficiently capacity becomes accepted software

  6. 06
    AI cost per accepted change

    The underlying model cost of delivered work

Is it a good fit?

Set the pilot up to give a clear answer.

A strong pilot has

  • A repository with a working build and automated tests
  • A backlog of clear, development-ready work items
  • A Tech Lead with time to review and approve plans
  • A QA process that can accept or reject delivered work

Leave for later

  • Work that still needs product discovery or design
  • Repositories without a reliable build or tests
  • Large architectural rewrites as the first test

FAQ

Questions about the pilot.

How long does a pilot take?
[X] weeks, agreed up front with a defined set of work items.
How much of our team's time does it need?
Your Tech Lead approves plans and your QA process reviews delivered work, as it would for any change. [Confirm typical hours per week]
Can the pilot run inside our infrastructure?
Yes. Private deployment is available for qualified pilots. Otherwise the pilot runs in Cleveri Cloud.
Which AI models are used?
Your own keys or gateway, or Cleveri models. AI cost per accepted change is one of the six measures.
What does a pilot cost?
[Confirm pilot commercials]
What happens after the pilot?
You review the results with your own team. If the numbers work, choose a Cloud plan or a Private licence based on Engineering Lanes.

Request a pilot