Where to Start
Pick the One That Matches Your Situation
These are separate engagements. They share a team and a governance posture, but they are scoped, priced, and delivered independently โ you do not need one to get the other.
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OcaaS โ Oversight as a Service
For organizations already running AI in production that need a standing governance function rather than a policy document. Ongoing oversight, risk monitoring, model change review, and the records that go with them.
You have AI deployed and no one owns governing it
Retainer engagement, not a one-time engagement
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Automation
For owner-operated businesses losing inbound contact to nights, weekends, and the gaps between departments. One integrated system that answers, captures, routes, reminds, and follows up.
Calls and enquiries arrive when no one is there to take them
Installed engagement, measured in days
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AI Implementation
For organizations working out which data may touch which system, in what order, and who signs off on the output. A three-tier model matched to your material, and the plan that follows from it.
You need the data decisions made before the tooling ones
Plan, pilot, or fractional operation
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AI Spend & Exposure Assessment
For organizations whose AI cost now follows usage instead of a contract, and who want to know what it is costing, who is using it, and what happens if a key leaks. A fixed-scope assessment that leaves a working dashboard, alerting, and a written policy behind.
You can't see your AI spend in one place or say who owns it
Fixed scope and fixed fee, handed over at the end