For Product Teams
AI Integration for Product Teams: From Idea to Pilot
From idea to technically robust pilot. With clear architecture and quality criteria.
Typical goal
- Turn an AI idea into a technically robust pilot
- Clarify architecture, build vs. buy, scope, and quality criteria
- Then implement with real data
My approach
Technical clarity before implementation. Scope freeze prevents rework, quality gates secure delivery.
- Robust architecture: system diagram, data flows, integration design
- Scope freeze: sign-off ready plan with acceptance criteria
- Handover standard: repo, docs, tests, setup guide
Two Ways to Integrate
Project-based or ongoing support.
Project-Based
From idea to working pilot. Clear acceptance criteria, handover-ready results.
Pilot Build
- Robust architecture
- Scope freeze and fixed price
- Repo, docs, tests, setup guide
Pricing from February 2026
Learn moreOngoing Support
Technical sparring partner for architecture decisions and code reviews.
Fractional Head
- Monthly cancellation
- Architecture reviews
- Strategic guidance
Pricing from February 2026
Learn moreTypical integrations
AI in existing product
Document-based AI responses, assistants, intelligent features
Workflow integration
Automation of sub-processes in existing software
Data pipelines
Mapping, validation, robust error handling, monitoring hooks
Prerequisites
- Product Owner/CTO as technical and business contact
- Representative test data (synthetic if needed) and clarity on data permissions
- Willingness for scope freeze and acceptance criteria
- Minimal target framework for operations (where does pilot run, who operates)
Ready for the first step?
In a brief intro call, we'll discuss your project and which path fits you best.
Request intro call