Knowledge transfer with a rollout

AI driven development
set up inside your team.

We join your team with a process proven on 120+ projects. We set up a harness and models that check each other’s work and complete tasks on their own, overnight too.

★★★★★ 5.0 on Clutch ·120+ projects delivered ·Speakers and panellists

0 + projects we draw patterns from
0 rollout workshops
0 working days to the first reading
The foundation

Nine gates every pull request has to clear.

Built once, they run on every change. They check hard properties of the code, so they work on any stack. Every one of them is blocking.

PR
01 Tests The full suite must pass
02 Coverage Thresholds on touched paths
03 Secrets Scan of the whole diff
04 Dependencies Licence allowlist
05 SAST Static security analysis
06 SBOM Required for release
07 Verdict Reviewer on the current SHA
08 Flag Required on risky paths
09 Merge Never automatic
Merge

A green gate means the machine checked it and let it through. Your reviewers spend their time on business logic instead of typos.

Four workshops

What we do inside your team.

W1

Machine gates

Built once, they run on every pull request. They check hard properties of the code, so they work on any stack. Every one of them blocks the merge.

Us
We design the gates and roll them out in your repositories.
You
A repository owner who decides which files block.
W2

Agentic review on your stack

A review skill reads the diff, the spec and the tests, then leaves its verdict as a PR comment. The agent also runs the scenarios from your acceptance criteria. Your reviewer decides from the comment.

Us
We build the skill and calibrate it on real tasks.
You
A domain reviewer reads the verdict and makes the call.
W3

Instruction layer review

Most defects start here: specs, PRDs, the context file, skills, acceptance criteria. We read them line by line, and a second model in a fresh context looks for gaps. A mockup before implementation exposes a flaw in the spec before any code exists.

Us
We own this end to end, whatever your stack.
You
Access to your product documentation.
W4

Agent collaboration assessment

We review agent session transcripts: where the tool drifted off course and what the context was missing. We score 24 behaviours. A baseline reading, then repeats: the difference shows how much skill has actually transferred.

Us
Instrument, reading and recommendation in two working days.
You
An agreed way to hand over session transcripts.
Proof of transfer

You see the effect in two readings: before and after.

We take the same measurement before the rollout and after it. Below is an example from our own team. In your company we measure the same things, on your data.

Before baseline reading
After rollout same scope

Time from picking up a task to production · internal Personit measurement

We measure

Cycle time, PR size and lifetime, review wait time, fixes after release.

We skip

Lines of code and “percentage of code written by AI”. Both are easy to inflate.

Cadence

A baseline reading, then repeats. Recommendation in two working days.

How do you want to start?

You know what you need

Tell us about your team and stack

How many engineers, which repositories, which AI tools you already use. We will come back with a proposed scope.

Describe your project
Not sure where to start

Talk to us about your team

We will walk through your current process and tell you which gate or workshop to start with.

Book a free consultation
Why us

We teach the process we work on ourselves.

Our whole software delivery process runs on AI. We test every element on ourselves first. The patterns come from 120+ projects across many industries.

  • 120+ projects we draw patterns from
  • Pionierzy AI: our own industry event
  • Speakers and panellists at conferences in Poland and abroad
  • Startup experience applied to larger, established businesses
Book a call about your team
Software team reviewing a nine stage quality gate pipeline on a glass board
Questions

Before you book a call.

What does this service involve?

Knowledge transfer combined with a rollout. We join your team, set up the gates, the harness and the models, and work side by side with your engineers on your own tasks. When we finish, you have a process owner on your side and full documentation.

Do you need to know our language and framework?

Not for the gates. Tests pass or fail, the coverage threshold is met or missed, a secret is in the diff or it is absent. The same set runs on Java, .NET, Python and TypeScript. The instruction layer and the agentic review we calibrate on your code.

How do you measure the effect?

With data you already have: time from picking up a task to production, pull request size and lifetime, review wait time, fixes after release. Plus the W4 assessment. We measure the same set at the start and after the rollout. We never count lines of code.

When will I see the first results?

Within the first month. The first gates run on your pull requests, and you get the baseline assessment reading two working days after you hand over the session transcripts.

How much does it cost?

The rollout starts at PLN 30,000 net. We agree the scope and order of work during Discovery. You pay per weekly or monthly sprint, or a Fixed Price when the scope can be set upfront. You know the price before we start.

What stays with us when you finish?

The gates in your repositories, a review skill calibrated on your code, an improved instruction layer, review checklists, process documentation, both assessment readings and a trained process owner.

Who owns the intellectual property?

You do. The gates, skills, instructions and documentation stay in your repositories. Where full rights cannot be transferred (third party tools, for example), you get a licence to use them.

How is this different from AI implementation for business?

AI driven development improves the team that builds your software. AI implementation for business automates business processes such as quoting, documents and customer service. Two separate services, and two separate teams on your side.

Want to automate business processes such as quoting or documents? See AI implementation for business →

We create innovation together

Our partners

Accelpoint
Unicorn Hub
SpeedUp
Investin
InCube

Contact Us

Let's talk

Paweł Płowiec

Paweł Płowiec

CEO

LinkedIn

Tell us about your project