Services

Across the AI lifecycle: Advisory, Build, Enable, Run.

Six engagements designed for regulated environments. Most customers start with Feasibility & ROI (portfolio-level) or an AI Pilot (single use case), then graduate into a full Build with Private Deployment.

Advisory

Decide what to do — and prove it on your data.

Advisory

AI Feasibility & ROI

Portfolio-level scoring of AI use cases by value, feasibility, and risk — with a board-ready ROI case and buy/build/wait recommendation.

Duration: 6–8 weeks
Engagement: Fixed fee

Advisory → Build

AI Pilot

Hands-on feasibility study — working code on a sample of your real data.

Duration: 4–6 weeks
Engagement: Fixed fee

Build

Ship the production system inside your boundary.

Build

Custom AI Build

Model selection, fine-tuning, RAG, agents, integrated end to end.

Duration: 3–6 months
Engagement: T&M or fixed

Build

Private AI Deployment

VPC, on-prem, or air-gapped deployment inside your security boundary.

Duration: 4–8 weeks
Engagement: Fixed fee

Enable

Make sure your team can run, extend, and trust the system.

Enable

Training & Enablement

Executive workshops + engineering team upskilling. Anchored by university teaching.

Duration: 1 day – 6 weeks
Engagement: Per session

Run

Keep the system healthy, compliant, and getting better.

Run

Managed AI & MLOps

Production monitoring, drift detection, retraining, compliance reporting.

Duration: Ongoing
Engagement: Monthly retainer

Get started

Not sure where to start?

Evaluating multiple use cases? Start with AI Feasibility & ROI. Already know the use case? Start with an AI Pilot. Not sure? Tell us where you are and we'll point you to the right one.

Schedule a discovery call