Applied AI
AI inside the workflow, where the decision is made.
The problem
An AI demo answers a question. An AI deployment makes a decision that has a consequence — which means it needs data access, permission boundaries, an audit trail and a defined answer to what happens when it is wrong.
What we deliver
- 01
AI opportunity assessment against real workflows
- 02
Document and language processing
- 03
Decision support and classification models
- 04
Automation of high-volume manual steps
- 05
Evaluation, monitoring and fallback design
Where it fits
Which of the six build stages this capability leads, on the same path used on How We Build.
Technologies
Named stack, listed honestly — only what the team genuinely works in today.
- TypeScript
- Next.js
- React
- Node.js
- PostgreSQL
- AWS
- Docker
- Kubernetes
Typical engagement
Duration, team shape and what the client or venture receives at the end.
8–12
weeks
1 Lead + 2 Engineers
Production-ready system