Your roadmap is not blocked on ideas.
AI Engineering is a standing squad that works your roadmap: agents, LLM applications, integrations and the plumbing underneath, shipped on your release cycle.
Hiring your way out of this takes longer than the roadmap allows.
[ why this is hard ]A senior AI engineer takes months to hire and can leave in two weeks. The roadmap pauses for neither.
Contractors bill hours. An hour is not a feature, and the gap between them is your problem, not theirs.
The tooling moves faster than an internal team can evaluate it. Staying current is a full-time job nobody has.
Most agencies learned AI last year. You can tell inside one sprint, and by then you have paid for two.
Shipped software, on your release cycle — the only artefact that counts.
You can see the whole machine before you sign.
[ how it works ]The sprint
Two weeks. You choose what enters each one.
Scoping
You describe the work. We break it down, estimate it in story points, and come back within 24 hours.
Delivery
The sprint closes on the points it opened with. Code lands in your repository, not ours.
Billing
The invoice follows the points that closed.
The team
A named technical lead and engineers from the same team, for the length of the engagement.
Comms
A shared channel — Slack, Teams, or yours.
Short version — write to us:
hello@dizaine.chwhat you get
- Agent systems
- LLM applications
- MCP & integrations
- RAG & knowledge systems
- Evaluation & observability
- Data & pipelines
- Code migration & refactors
- Product engineering squads
questions
How do you estimate?
You describe the work, we break it down into story points, and we come back within 24 hours.
What are we billed on?
The story points that close in a sprint.
Do we get the code?
It lands in your repository as we go, not at the end.
Can we start without an audit?
Yes. The audit is the AI Transformation entry point; engineering starts from the roadmap you already have.
Brief us your decade.
One conversation to map where AI pays first.