How we ship AI products safely
Our 6-Stage AI SDLC
A delivery pipeline built for AI products: measurable, tested and safe to ship.
STAGE 01
Discovery
Workshops, user journeys and a feasibility check to define what the AI should do and how we will measure it.
Deliverables: Scope, success metrics, architecture sketch
STAGE 02
Data / RAG
We audit, clean and index your data, then build retrieval pipelines so models answer from your sources.
Deliverables: Data pipeline, vector index, eval set
STAGE 03
Development
Product, APIs and model integration built in short sprints with weekly demos.
Deliverables: Working increments every sprint
STAGE 04
QA & Testing
Automated tests, prompt and output evaluations, security and performance checks.
Deliverables: Test suite, eval report
STAGE 05
Deployment
CI/CD, monitoring and guardrails to ship safely to cloud and app stores.
Deliverables: Production release, dashboards
STAGE 06
Fine-Tuning
Feedback loops and targeted fine-tuning once real usage proves where it helps.
Deliverables: Tuned models, iteration roadmap
What you get at every stage
Discovery
Workshops, user journeys and a feasibility check to define what the AI should do and how we will measure it.
Scope, success metrics, architecture sketch
Data / RAG
We audit, clean and index your data, then build retrieval pipelines so models answer from your sources.
Data pipeline, vector index, eval set
Development
Product, APIs and model integration built in short sprints with weekly demos.
Working increments every sprint
QA & Testing
Automated tests, prompt and output evaluations, security and performance checks.
Test suite, eval report
Deployment
CI/CD, monitoring and guardrails to ship safely to cloud and app stores.
Production release, dashboards
Fine-Tuning
Feedback loops and targeted fine-tuning once real usage proves where it helps.
Tuned models, iteration roadmap
Plan your AI build
Start with a discovery call. We'll map your data, risks and the fastest path to production.