Find the control gaps in your AI workflow before legal, security, or procurement does.
Olympus AI Control Teardown is a short engagement for teams deploying AI in regulated or high-accountability environments. We review one workflow, identify the governance and control gaps, and deliver a clear roadmap for making the workflow defensible in production.
Typical scope: 1-2 weeks, one workflow, one readout, one written recommendation set.
One workflow
We focus on a specific AI workflow instead of trying to boil the ocean.
1-2 weeks
Fast enough to act on, bounded enough to approve without a giant buying cycle.
Roadmap
You leave with concrete next steps: no action, design sprint, or pilot.
Most AI teams do not have a model problem. They have a control problem.
Common blockers
- Context gets trapped inside one provider or one app session.
- Prompt guardrails are doing the job of real policy.
- Approvals happen in Slack, email, or side channels.
- No one can reconstruct what the system knew during a decision.
What the teardown gives you
- Control-gap map for one workflow.
- Provider dependency and continuity assessment.
- Policy and approval boundary review.
- Replay and auditability recommendation set.
What you get at the end
Workflow Review
Assessment of the current workflow, provider path, and failure points.
Control-Gap Summary
Where policy, approvals, replay, or provider portability are too weak.
Next-Step Path
A recommendation for whether to stop, run a design sprint, or move into a pilot.
Where this lands first
Healthcare workflow software
Prior auth, revenue cycle, care ops, documentation, and support workflows that need stronger governance.
Regulated internal copilots
Teams that need to move from prototype to controlled production without losing explainability.
Escalation-heavy workflows
Cases where the AI needs approvals, handoffs, and a replayable trail later.
How the engagement runs
Included
- Kickoff and scope alignment
- Workflow and deployment review
- Control-gap analysis
- Short written recommendation report
- Readout with recommended next step
Not included
- Full implementation
- Enterprise-wide rollout
- Custom integration buildout
- Long-term support contract
Pricing and next step
Starting at $5,000. Typical range is $5,000-$12,000 depending on workflow complexity, stakeholder load, and deployment context.