Step 1
AI Discovery
Understand the requirement. Most teams start with a discovery session. It sets scope before anything is built.
Insights
AI architecture, development and deployment.
Three steps that turn an idea into working software, without committing to a stack too early.
Step 2
AI Blueprint
Architecture, technology, infrastructure and cost. The document that fixes model choice, hosting and monthly cost before any code is written.
Step 3
AI Development
POC, MVP, applications and integrations. A proof of concept is the smallest build that answers whether an idea works, before anyone funds the real thing.
Go deeper
Architecture
Retrieval-Augmented Generation
How a model answers from your own documents, what it costs, and where it goes wrong.
Vocabulary
Glossary
Every word your vendor uses, in plain English.
The AI Blueprint Checklist
The 24 questions we work through before recommending a stack — data readiness, hosting, cost ceilings, security review and the exit plan. Use it with any vendor, not just us.