Start with one workflow. Build a repeatable capability.
Bring business, IT, data and security teams into the same program. Start with a bounded use case, then reuse the data connections, evaluations and operating patterns for the next one.
A shared plan, with clear decision gates.
Define the work
Agree on the task, owner, source systems, review points and baseline. Identify where an agent should not act.
Output: a bounded workflow and evaluation criteria.
Prepare the data
Map access, consent, lineage and retention. Assess sample quality before deciding whether tuning or synthetic data is useful.
Output: approved sources and representative test cases.
Configure & evaluate
Compose models, tools and approvals in the workspace. Compare a baseline with candidate changes on your tasks.
Output: reviewable runs, exceptions and a go/no-go decision.
Deploy in your environment
Plan compute, networking, identity, monitoring and change control with your infrastructure and security teams.
Output: a deployment plan and named operating owners.
Operate & expand
Monitor quality and cost, review proposed improvements and reuse successful patterns for additional solutions.
Output: an ongoing review cadence and next-use-case backlog.
Match support to your team's needs.
Discovery & design
Clarify the opportunity, data readiness and requirements before committing to a deployment.
Joint implementation
Work alongside your teams on data integration, model selection, agent configuration and evaluation.
Ongoing operations
Agree on monitoring, change review, incident ownership, capacity planning and knowledge transfer.
Choose the first workflow together.
Tell us who owns the work, which systems it crosses and what a useful first outcome would be.