Codurance Craft AI

AI at the heart of your engineering

In months what used to take years, with real engineering.

In short
8 ways in
4 consulting and 4 delivery
Objective scope and acceptance criteria
A method that stays with your team
The moment

Why now

01

The race to AI for AI’s sake

Everyone is adopting, few have a process. The question is no longer “if” but “how”.

02

Insecurity at every level

Even the most advanced teams, already orchestrating agents, feel they are behind.

03

Speed without engineering is expensive

Untested code, token costs with no owner, data exposed to agents with no control.

Everyone promises speed. Speed with craft is rare.
Engagement model

Starting is cheap. Scaling is simple.

1

Fixed entry

Assessments and discoveries with defined scope and timeline. You know the cost before you sign.

2

Closed pilot

Objective scope and acceptance criteria. In modernization, for example, tests on the old and the new system must give the same result.

3

Scale at your pace

You decide when to move forward, with the previous step’s result in hand. In enablement and handover lines, the method stays with your team, with no dependency.

Quality in everything: test pyramid, guardrails and cost under control. It’s what separates speed from mess.

You’re in charge: in project lines, you only sign the step that proves itself.

Next step: a 1-to-3-week assessment on the pain that surfaced today.

Tell us where you recognized yourself and we’ll design the first step with fixed scope and timeline.