We makereleases boring.

Work stops piling up in front of testing. We rebuild the path from merged to shipped — delivery process, quality gates, and the automation that removes the queue — so the date you commit to is the date it goes out.

Start a conversationSee how an engagement runs

Teams we have worked with

  • Motorola Solutions
  • Yandex
  • Magify
  • ChatMe AI
  • Actum
  • Swipey
  • HeRo Study
  • invAI

Every engagement runs under NDA. What happens inside these companies stays inside them — and so will yours.

Not our numbers — the industry’s
  • 5.3×

    longer that a pull request written with an AI agent waits before anyone picks it up to review.LinearB, 2026 Software Engineering Benchmarks

  • +59%

    more work reaching feature branches year on year — while throughput on the main branch of the median team went down.CircleCI, 2026 State of Software Delivery

  • 43%

    of AI-written changes still needed debugging in production, after passing both QA and staging.Lightrun, 2026 developer survey

stage 01/6Symptoms

Your team got faster. Your releases did not.

AI moved the bottleneck. It did not remove it — it pushed it downstream, into review, testing and the release itself. If two of these are yours, we should talk.

more-prs

Twice the pull requests, the same release cadence.

review-queue

PRs wait longer in review than they took to write.

escaped

It passed CI, passed staging, and broke in production anyway.

carryover

Half the sprint carries over, every sprint.

date-slip

You pad the release date by two weeks and it still slips.

no-signal

You can feel the bottleneck. You cannot show it as a number.

None of these are tooling problems. They are process problems wearing a tooling costume.

stage 02/6What changes

The tempo stops depending on heroics.

This is the whole job. Not more tests — a shorter path from merged to shipped, and a date you can hold other people to.

before
after

before

Today

Merged anyway. It is probably fine.

A task goes into testing and disappears for a week. · Release dates are given with two weeks of padding, and still slip. · You hear about the bug from a customer. · You argue about where the time goes.

after

Three months in

Green means green. Ship it.

Most of the checking happens in the pipeline, in minutes, before review. · The path from merge to production is the same every time, so the date holds. · You hear about it from the pipeline, before it merges. · You look at lead time, cycle time, and time in review — and argue about the number.

stage 03/6Engagement models

How much do you want to own?

The same team either way. The shape changes with how much of the problem you hand over.

embedded

Embedded team

Our engineers join your team, your standups, and your board. Managed by us, accountable to you. Scale up or down with a month of notice.

Best when: you need capacity now and headcount is slow. · Monthly · Your process · Scales

audit

Delivery and QA audit

A fixed-scope, fixed-price review of where your delivery time actually goes: the board, the process, the pipeline, and the testing inside it. You get ranked findings, measured cycle times, and a roadmap you could hand to another vendor.

Best when: you know the tempo is wrong but not why. · Fixed scope · 2–3 weeks · Deliverable

delivery-setup

Delivery setup

We design and implement the process layer: definition of done, environments, gates, branching, release cadence, and the metrics that tell you whether it worked.

Best when: the tests are fine and shipping still hurts. · Project · CI/CD · Handover

stage 04/6What you keep

It all lands in your repository.

Not a slide deck and not a portal you lose access to. Every engagement produces working files that stay yours.

audit

The audit, in writing

What we found, ranked by what it costs you. Every item points at a commit, a failed run or a timing.

suite

A suite your team can read

Playwright and TypeScript, in your repository, reviewed through your normal PR process. No vendor format.

gates

Gates that actually block

The checks that decide whether a change may merge — plus the flake policy that keeps them honest.

runbook

The release, written down

Definition of done, the checklist, who does what when it goes wrong. The part that lived in one person’s head.

metrics

Numbers instead of opinions

Lead time, cycle time, where work actually waits. Wired to your own board, so the next planning argument has data in it.

You own all of it from the first commit. If we stop working together tomorrow, nothing breaks and nothing is withheld.

stage 05/6How it runs

Audit, build, hand over.

A fixed shape so you know what you are buying. Each phase ends with something you keep, whether or not you continue.

assess

Week 1 — Audit

We read the code, sit in your standups, pull the history off your board, and run your release once with you. No questionnaires, no maturity matrix. We measure where the time goes and look at what actually happens.

You keep: Written findings ranked by cost, with the current numbers

build

Weeks 2–6 — Build

We fix the top of the list. Usually that means a working suite on CI, a release checklist that is not tribal knowledge, and bug reports that stop bouncing.

You keep: A running suite, gates in CI, documented process

handover

Ongoing — Hand over

Your engineers write and fix tests themselves. We stay for review and the hard cases. The goal is that cancelling us should be uneventful.

You keep: Runbooks, training sessions, clean exit

stage 06/6What we cover

Every discipline a release depends on.

Not a resource pool and not a rotating bench. One team on one contract, covering the three things that actually decide whether a release goes well.

delivery

Delivery and release engineering

The part nobody owns: how work becomes a release. Definition of done, quality gates, branching, environments, and the flow metrics that turn a planning argument into a number.

Lead time / cycle time · DORA metrics · Quality gates · Trunk-based / GitFlow · Release trains

automation

Test automation

The machine that takes the queue out of testing. A suite your engineers can read and maintain, running on every pull request, with flake under control so a red build means something again.

Playwright · TypeScript · pytest · GitHub Actions · GitLab CI

exploratory

Exploratory QA and test design

What automation structurally cannot find, kept off the critical path. Chartered sessions, real test-design technique, and bug reports a developer can act on without a follow-up call.

ISTQB · Charter-based testing · Jira / Linear · Postman · Charles

Take one discipline or all of them. Most engagements start narrow and grow.

scroll

tesai run --all

stages
0/6
failed
0

Suite green.exit 0

Questions

Straight answers.

How small a team will you work with?

We have worked with teams of four engineers and with teams of forty. Below roughly ten engineers an audit usually gives you more per euro than an embedded specialist, and we will say so.

How fast can you start?

An audit can usually begin within a week. An embedded engagement takes one to two weeks to arrange properly — access, contracts, and a first-week plan we both agree on.

What does it cost?

Embedded specialists are billed monthly per person. Audits and delivery projects are fixed-price after a short scoping call. We send a written proposal with the scope and the price before anything starts.

Do you replace our QA team, or work alongside it?

Either, and we have done both. We can take over quality end to end, we can train the people you already have, and we can build the function from nothing — define the roles, write the hiring bar, sit in the interviews, and run it until your own lead is ready to take it. Tell us which of those you actually want; the answer changes the shape of the engagement, not whether we take it.

What stack do you work with?

Playwright, Cypress and Selenium for browser automation. TypeScript, Python and Java for test code. GitHub Actions, GitLab CI and Jenkins for pipelines. If your stack is elsewhere, ask — we will tell you honestly whether we are the right team.

Who owns what you write?

You do. Tests, pipelines, and documentation are committed to your repositories as we go. There is no vendor format and nothing lives on our machines.

Will you talk about our project publicly?

Only that we worked together, and only if you allow it. What we find, what is broken, and by how much it improves stays between us. That is exactly why there are no numbers next to anyone else’s logo either.

Ground rules

How we behave when it gets awkward.

  • We work inside your walls

    Your repositories, your infrastructure, your access policy. We sign what your security team needs signed and we do not move your data anywhere.

  • We tell you the unwelcome version

    If the problem is your architecture, your deadlines, or a person, the report says so. You are paying for an outside opinion — a flattering one is worthless.

  • It is yours as we build it

    Documentation and training happen inside the work, not as a handover bolted on at the end. Your engineers can run everything we build from the week it lands — which is what makes it yours rather than ours.

Tell us what your last release felt like.

One call, thirty minutes, no deck. We will tell you what we would look at first and whether you actually need us.