Four ways to engage — each a real commercial offer that stands on its own. Most companies begin with the assessment and let each stage fund the next.
Leaders curious about AI but not ready for a full build.
You know AI matters but not where it's safe, valuable, or where to start.
Leadership & team training, a workflow opportunity shortlist, a risk & governance read.
A clear, prioritized picture of where agents pay off — and a defined next step.
Teams who've picked a workflow and want to see it work.
Stakeholders need proof on real data before committing to a build.
A working prototype of one prioritized workflow, on your data, with a value read-out.
Evidence the value is real — or a clear, inexpensive “not yet.”
Companies ready to put an agent into daily operations.
A prototype isn't production: it lacks controls, integrations, and oversight.
A hardened agent — integrations, human-in-the-loop, observability, governance, secure deploy.
An agent your operations can depend on, with an audit trail leaders trust.
Organizations scaling agents beyond the first one.
You need senior AI direction and care without hiring a full-time team.
Ongoing operation, evaluation, and improvement — plus a roadmap for what to automate next.
Agents stay healthy and measured; your AI strategy keeps moving.
Engagements are scoped based on workflow complexity, integrations, data readiness, and operational risk. We agree scope and price before any build begins — no open-ended meters.