AI Software Accelerator

AI-assisted development, run by your own team

AI-assisted development in four to six weeks, run by your own team and your own product owner: a way of working, the line in your repositories, one real feature shipped.

Four to six weeks From 14 900 € Fixed price

What it is

Base
14 900 €, four to six weeks
Extended
24 900 €, eight to twelve weeks
Price
Fixed, agreed up front
On the path
Fix it

The gap is rarely the tools. Most teams already have AI assistants, and the pace of delivery has not moved with them. Writing code got cheap; review, testing and release still move at the old pace. What moves delivery is the line: how a team plans, specs, builds and releases, with people at both ends and agents carrying the work in between.

People move from writing code to planning the work and overseeing the line. Your product owner plans in the backlog, specs are written from the queue, and agents build and simplify in loops until the outcome is met. A person approves the merge and decides what reaches production: the one who wrote a change never approves it.

This is not a platform we install and licence back to you. We build our own product, Brain, this way, so the bar is enterprise: every change starts from a written spec and passes the same checks before it merges. We bring that practice to your team, with the tools you choose, and the proof is one real feature shipped on your own code before we leave.

The shift

Where AI already is, before anyone decided it should be.

  • An assistant in every editor

    Coding assistants ship inside the tools your developers already use.

  • Writing got cheap, shipping did not

    More code arrives. Review, testing and release still move at the old pace.

  • Who wrote this change?

    In regulated work, customers and auditors ask. Few teams can answer for AI-written code. The question is whether your delivery changed, not whether developers use AI.

Faster means a new line, not more licences

Today: one developer, one assistant

  1. A developer picks a task
  2. Types faster with AI
  3. A bigger pile to review, same release pace

With the line: a team that runs a line

  1. Stories in the backlog
  2. Agents write the spec, build and loop until the outcome is met
  3. People oversee and release

People move from writing code to planning the work and overseeing the line. Agents carry the work in between, even when nobody is watching.

Three things you can point at

In control is not a document. It is three things a leadership team can hold.

  • Your team owns it

    The way of working

    Plan, spec, build, verify, release, with people at both ends. Your product owner plans the work; a person approves the merge and decides what goes live.

  • In your repositories

    The line

    Stages, loops, gates and guardrails in your repositories, tuned to protect quality without boxing the agents in. Agents build and simplify in loops until the outcome is met.

  • Shipped before handover

    One real feature, shipped

    Planned by your team, carried by agents, released by people. Built the new way on your own code before we hand over.

Four to six weeks, one feature shipped

We start from a practice we run on our own product and customer projects, never from zero. The weeks follow your calendar, not our effort.

  1. Week one

    Readiness check

    Delivery baseline measured, one real outcome chosen from the backlog, with the CTO and tech lead.

  2. Weeks two to three

    The line set up

    Backlog, specs, loops and gates in your repositories, with your tools, with the tech lead and a developer or two.

  3. Weeks three to five

    Run the line

    Agents carry work from the queue, your team plans and oversees, we coach alongside.

  4. Week five or six

    Ship and hand over

    The feature is shipped, and the before and after is reviewed with the CTO.

Who does what on the line

People at both ends, agents in between. Approve and release are two decisions on purpose: the one who wrote a change never approves it.

  • Plan

    Roadmap, stories and priorities live in the backlog. People: the product owner.

  • Spec

    Written by agents from the queue, checked against the story. Agents, the tech lead approves.

  • Build

    Agents build, verify and simplify in loops until the outcome is met.

  • Verify

    Forward: built what the spec says. Backward: met what the story needed. Agents and gates.

  • Release

    A person approves the merge and decides what goes live. People: your team.

All of it stays in your environment, in your own repositories and pipeline, yours to develop further.

Two sizes

Base is one team and one repository. Extended is the same work where several teams, vendors or regulators are involved, and it includes Base.

Base

You want proof on one team

14 900 €

Four to six weeks

What it covers

  • The readiness check, the way of working, and the line set up in your repositories.
  • One team and one repository, a standalone setup with our default gates.
  • One real feature shipped the new way, a basic traceability log, and a review with your CTO.

Extended

You want it to become how you build

24 900 €

Eight to twelve weeks, Base included

What it covers

  • Everything in Base, across several teams or repositories, integrated with your pipeline and ticketing.
  • One real feature per team, a full audit trail for regulated work, and gates tuned with your security team.
  • Your own owner trained and handed over, closing with a review and a 90-day follow-up.

Fixed price, agreed before the work starts. Started with Base and want the rest? What you paid for Base is credited in full.

Which one fits

Not sure? We will recommend one, and say so when Base is enough.

Base

  • Four or more developers, your own or hired
  • Your own product owner runs the roadmap
  • Light regulation, or none
  • You want to see it work before you scale it

Extended

  • Several teams or repositories
  • Regulated work that needs a full audit trail
  • An existing pipeline the tooling must fit into
  • Your own people should own and develop it

What stays yours

Whatever you decide next, these leave with you.

  • The backlog and the product knowledge, written so every agent reads them.

  • The spec and build loops, the guardrails and the hand-off rules.

  • The quality gates and the pipeline that run on every change.

  • The traceability log: which story, which spec, which checks, who approved.

The same ladder we used in cloud

For the CTO who grew up with a cloud adoption framework. Same structure, one level each: why, path, control, check. This module sits on the path.

  • Cloud strategy to AI strategy

    Recon: where your business is with AI.

  • Cloud Adoption Framework to AI Adoption Framework

    AI Software Accelerator: a module on the path, bought on its own.

  • Cloud governance model to AI governance model

    In control of AI: the model, blueprint and register.

  • Well-Architected Framework to Well-Architected for AI

    A review of every AI use, repeated.

Where this sits

A ready-made module on the Map it, Fix it, Run it path, in Fix it. You can buy it on its own.

Set your team up to build this way in your own environment, and hand it over.

See how the path works

One path, and it compounds

It starts with one problem worth solving. Bring us yours and we will name the price and the date before you commit to anything.