Service
AI consultation
Most AI projects stall somewhere between the demo and production. We help you choose the use cases worth building, pick models and platforms that fit your data and budget, and set up the guardrails your risk and compliance teams will ask about before they ask.
What we build
What you get
- Use-case workshops that rank ideas by value, effort and risk
- Model and vendor selection across Claude, Gemini and open-weight models
- Architecture reviews for retrieval (RAG) and agent systems
- AI governance: evaluation, audit trails and explainability
- Roadmaps, build-versus-buy advice and team enablement
Tools we often use
- Vertex AI
- Anthropic Claude
- Google Gemini
- Agent Development Kit
- BigQuery
- Ollama
Approach
How we do it
Listen
Short interviews with the teams that would use AI, and the teams that would have to approve it.
Rank
A scored list of use cases with expected value, data readiness and risk for each.
Prove
A small proof of concept on your own data for the top candidate, with honest accuracy numbers.
Plan
A written roadmap with architecture, costs, staffing and the controls needed for production.
Where it applies
Industries and related services
Considering AI consultation?
Tell us where you are today and where you want to be. We will reply within one business day with honest next steps.