AI strategy & roadmap
A clear view of where AI can change cost, speed, or customer experience — and where it will not. You get a sequenced plan tied to budget, risk, and who owns the work.
- – Opportunity assessment
- – Build vs. buy guidance
- – 12–18 month roadmap
Use-case discovery & pilots
We pressure-test ideas against real processes and data, then run a focused proof of concept so you can see results before a larger spend.
- – Use-case scoring
- – Pilot design
- – Success metrics
Generative AI implementation
Practical LLM applications — knowledge assistants, document workflows, drafting and review — grounded in your content, with human handoff where it matters.
- – Prompt & evaluation design
- – Knowledge grounding
- – Production rollout
Automation & AI agents
We design agents and automations that take work off a queue: intake, routing, status updates, and the exceptions that still need a person.
- – Workflow mapping
- – Agent design
- – Handoff & escalation
Data, integration & governance
AI only works if the inputs are trustworthy. We help you connect systems, set access rules, and keep an audit trail without boiling the ocean.
- – Data readiness
- – System integration
- – Access & retention rules
Enablement, training & operating model
Tools do not stick without owners. We train teams, define who approves what, and leave you with a way to run AI work after we step back.
- – Team workshops
- – Playbooks & policies
- – Fractional advisory