Workflows: cloud cost anomaly investigation and rightsizing, SaaS licence reclamation and leaver access removal, cloud compliance drift remediation, quarterly access reviews and audit evidence collection, and AI agent and AI application approval.
This is an illustrative example. Brindle Mutual is a fictional company; the ratings, reasons, and value ranges below are Use Case Foundry's output for its company model, not claims about a real business. Values are the engine's estimates in US dollars.
The top four, scored
| Opportunity | Value | Practicality | Company advantage | Evidence quality | Estimated annual value |
|---|---|---|---|---|---|
| Compliance evidence copilot | High | Medium | High | High | $780k–$1.9M (upper bound) |
| FinOps analyst copilot | High | Medium | Medium | High | $280k–$700k |
| SaaS licence and leaver-access copilot | High | Medium | Medium | High | $180k–$450k |
| Compliance drift copilot | High | Medium | Medium | High | $140k–$350k |
Value ranges are estimated from the recorded cost of the pain each opportunity addresses. The compliance copilot applies across the whole estate, so its range is sized against all five recorded pains combined, about $3.9 million a year; treat it as an upper bound until a pilot measures it.
1. Compliance evidence copilot
- Why it ranks first: regulators and auditors require evidence for access, data-handling, and change controls, and policyholder data must not reach unapproved AI tools. The regulatory constraint applies across cloud, SaaS, and AI, not to one workflow.
- Company advantage: compliance capability is itself a barrier, and the copilot is grounded in the company's own records.
- Before a pilot: the copilot assembles evidence and drafts findings; a named reviewer decides every case, and it changes no cloud resource or access right. Use Case Foundry has a tested pilot path for evidence assembly.
2. FinOps analyst copilot
- Why it ranks second: cost anomalies are found weeks late at month-end, and rightsizing recommendations pile up without an owner, a recorded pain of about $1.4 million a year.
- Company advantage: it captures scarce FinOps judgment and uses the company's own billing and usage exports.
- Before a pilot: the copilot investigates and drafts the change; the owning team approves it through the existing change process. Test it against past anomalies first. Use Case Foundry can produce the pilot package; there is no tested production path for this pattern yet.
3. SaaS licence and leaver-access copilot
- Why it ranks third: unused and duplicate licences renew automatically, and leaver access lingers for weeks, about $900,000 a year.
- Company advantage: it is grounded in the company's own licence and login activity and in administrator judgment.
- Before a pilot: the administrator confirms every reclamation and removal; measure licences recovered and days of lingering access.
How much autonomy each agent gets
Helping the person ranks above letting the agent act alone in every workflow: cost anomalies 2nd against 11th, SaaS licences 3rd against 12th, compliance drift 4th against 16th, and access reviews 5th against 17th. Autonomous cost-anomaly remediation starts with high practicality and falls to low once two constraints are counted: high-stakes autonomy needs guardrails, and automated decisions face compliance scrutiny.
Every autonomous option depends on evaluation and monitoring guardrails, ranked 14th. The ranking does not rule autonomy out; it sets the order. Once guardrails are in place, cost anomalies and SaaS licences are the first candidates for autonomous action, and compliance drift and access reviews follow.
Why AI-agent governance starts with an inventory
Unapproved AI agents and applications are a recorded $500,000-a-year pain. Use Case Foundry still marks AI-agent approval "instrument first", ranked 29th: there is no inventory of which agents and applications exist or what data they can reach, so there is nothing to model yet. The first investment is discovery and an inventory, not an approval agent.
Why integration is partner work
Connecting agents to the ITSM change process, the identity provider, and the cloud accounts ranks 8th and is marked as implementation-partner work. Use Case Foundry ranks the work, not products: which governance platform and tooling deliver it stays with the buyer and its delivery partner.
How a governance vendor or partner would use this
A governance platform vendor, or its MSP and systems-integrator partners, could run this for each customer before rollout. The result names the workflows to switch on first and the ones that stay human-approved, lists the prerequisites to deliver, and ties each choice to a recorded cost. The CFO gets a reason for the first workflow, and the security and audit teams get the autonomy limits in writing.
Buyer question this answers
Which governance work should an enterprise hand to agents first across cloud, SaaS, and AI, how much autonomy should each agent get, and what must be in place before an agent acts without approval?
This ranking starts from internal operating evidence. See how a first read is built from public information alone in the sample pre-assessment.