01
AI in software delivery
How the team writes, reviews, tests and ships code with AI.
- Which tools, and for what?
- How do we review AI-generated code?
- How do we know the team got faster without losing quality?
We advise
Have a team, a product or an AI idea
and need direction?
We are the AI advisor beside leadership and the team. We decide together what to do, in what order and at what cost.
01Six practices
Where we help.
02
AI in operations and support
Operations that warn you before the customer complains.
- How do we triage tickets automatically?
- What can be fixed with AI assistance?
- Which alerts make sense?
03
Diagnosis of your AI solution
An honest read of what already exists.
- What works and what does not?
- What does it cost per month, and what should it cost?
- Where is the risk: data, privacy, lock-in?
04
MVP implementation
From concept to something real users can test.
- What is the minimum that validates the idea?
- Which metric decides whether we continue?
- Build, buy or integrate?
05
Direction for agents
Agents that help, not agents that get in the way.
- Where do we start?
- Which model, and at what cost?
- When does the agent hand over to a person?
06
Product, architecture and scale
Growing without losing sight of cost and quality.
- Will the architecture handle ten times more customers?
- One instance per client, or multi-tenant?
- What do we cut from the roadmap?
02Formats
Two ways to work together.
01
One-off diagnosis
A complete read, with a beginning, a middle and an end.
- Interviews with leadership and the team
- Review of code, architecture and costs
- Report with decisions and an action plan
- Baseline for the metrics that matter
02
Monthly advisory
An advisor beside the people who decide.
- Decision meeting every two weeks
- Architecture and vendor reviews
- Direct channel for questions
- Monthly report on what changed
03Who it is for
It makes sense when…
- 01You already have a tech team and want to apply AI with judgment.
- 02You already have an AI solution and do not know whether it pays off.
- 03You need to decide before hiring a whole team.
- 04You want an AI MVP without betting the year on it.
AI direction for your team.
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