Strategy into software
Use-case shortlists, build-vs-buy decisions, and reference architectures grounded in your data estate — then we implement what we recommend. No handoff gap between the room and the repo.
What we do · AI & data execution
Execution from strategy through production.
We partner with leadership and technology teams to deliver AI and data programs with clear scope, defined outcomes, and systems built for production. That includes use-case selection, reference architecture, implementation of RAG and agent workflows, analytics platforms, and governance structures your operators can rely on. Advisory and delivery sit under one team — so accountability does not stop at the slide deck.
Production RAG and agents
Retrieval pipelines, tool policies, human-in-the-loop approvals, and eval harnesses sized for regulated and high-stakes environments. Agents do the repetitive work; your team keeps authority over money and customers.
Operating model for AI
Roles, review cadence, data stewardship, and ways-of-working so the platform does not become a shadow IT experiment. We match the team and process to the system you are running.
What we deliver
Typical scope.
- AI readiness and use-case portfolio design
- Production RAG over your corpus
- Agent workflows with approvals and audit
- Analytics and decision-support platforms
- Model evaluation, guardrails, and red-team testing
- Org design, training, and runbooks for operators
Other practice areas