Step 1 · Week 1–201
Embed
An engineer joins your team, sits with operations and maps the processes where AI removes the most manual work.
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Engineers inside your company.
Most AI projects stall between the pilot and production. Ours don’t, because the engineers who build them work where the problem lives: with your teams, on your data, inside your systems.
EmbedBuildShip.
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Built with you, not handed over.
01 Starting point
✕ A requirements document
✓
An engineer inside your team
02 Who builds it
✕ An offshore team, after handoff
✓
Engineers working on your real data
03 Time to value
✕ A demo in six months
✓
Live in production in weeks
04 After launch
✕ You maintain it alone
✓
Your team owns it, trained by us
Choose how deep we go.
01
Assessment sprint
2 weeks
One engineer maps your processes and data and delivers a ranked roadmap with costs.
Workshops
Data audit
Roadmap
02
Embedded build
Most chosen
6–12 weeks
A small team ships the first AI system to production, iterating weekly with your users.
FDE team
Weekly releases
Go-live
03
Run & evolve
Ongoing
We operate, monitor and extend what we built, and train your people to own it.
Monitoring
New agents
Training
What we hold ourselves to.
Production or nothing
We measure success by what runs every day, not by demos.
Your data stays yours
We build inside your cloud and your access rules.
People approve
Agents propose, people decide where it matters.
Leave it better
Documentation, training and handover are part of the job.