Use cases
One pattern. Ten ways to prove it.
Every “show me” moment runs the same engine, from a different starting point — and lands on Reduce Risk, Reduce CAPEX, Reduce OPEX.
The engine every moment runs
Business decision→Relationship change→Long-tail impact→Risk + cost→Action→Measured outcome
SHOW ME #1Blast radiusTerminate a vendor — trace every contract, project, human, agent and application it touches.
SHOW ME #7The unexpected relationshipA nine-hop chain from a vendor to a board memo, surfaced in one query.
SHOW ME #8Any starting pointThe same trace from a project, a dataset or an agent — third-party risk is the wedge, not the boundary.
Next step: watch this pattern run against your own systems, live.
Reduce Risk · where it lives
Risk hides in plain sight.
None of these is a broken control. Each one is a relationship nobody owns — which is why no single system flags it.
Terminated contractorAccess still liveOffboarding left a dangling identity months after the engagement ended.
Supplier service accountBeyond contracted scopeA vendor's machine identity drifted past what the contract allows.
Agent inherits a human's sessionDelegation outlives the grantAn assistant acting under an employee's OAuth token. The role changes; the agent keeps the old scope.
Agent-to-agent chainingScope widens at every hopAn orchestrator calls sub-agents. No single grant looks wrong; the composite path was never approved.
Vendor's agent, pre-agent contractTerms written before AIA supplier's agent now touches your data under language that never contemplated machine behaviour.
Shadow agent on corporate SaaSPersonal keys, real dataStood up outside review, absent from IGA and CMDB, holding live access nobody inventoried.
Reduce CAPEX
Schema on read. No migration.
Overlap identified, duplicates retired, integration spend closed. No rip-and-replace.
Schema on readEach source keeps its native shape. New entity types resolve at query time, not at ingest.
No ETL programYears of integration work and millions of dollars — or read it where it already lives.
Overlapping governance toolsIGA, TPRM, VMS, IAM, CMDB — two systems that disagree are two you are paying for.
2,000+ integrationsIdentity platforms, applications, documents and data providers, resolved into one schema.
Reduce OPEX
Agent and token spend, governed.
Token and API spend gets the same governance as headcount hours — attributed, justified, and reduced safely.
Agent → Agent → Model → Tokens → Application → Project → Owner → Contract → Business purpose
Where it's invisible today
Agent-to-agent callsNo cost owner assigned.
Model spendNot tied to any business decision.
Standing agentsStill billing after the project closes.
What idGenius adds
Cost attributionEvery dollar tied to a business purpose, from agent call to contract owner.
Safe-reduction candidatesStanding agents still billing after a project closed, flagged automatically.
No certification campaignsGovernance as a state, not a calendar exercise — conflicts surface as they arise.
Consulting displacedThe relationship mapping consultants bill for, run in-house and read-only.
“Show me which AI agents are costing us money without sufficient business justification.”
Composite and illustrative: an orchestrator billed for weeks after its project closed. Human and AI OPEX are shown as two distinct lines.
The proof
Every decision carries an evidence chain.
Policy is not a PDF — it is a runtime. Every decision cites the clause it came from, so an auditor reads policy, not inference.
What the POC looks like
Read-only, on your systems, in days.
Release momentum
V2 GA · October 2, 2026V2.1 · February 11, 2027
01Discover and ObserveConnectors read in place. Every actor surfaces — conflicts and policy violations visible immediately.
1–2 days 02Observe and AuditLive risk computed on your real graph. One trail per action — replayable and reconstructable.
1–2 days 03Govern once, enforce everywherePolicy published once to the enforcement points you already run.
1 day 04Executive overviewExactly how idGenius lowers risk, CAPEX and OPEX in your environment — measured on what the first three phases found.
30–45 minutes Standards-based. Measurable risk reduction. Measurable CAPEX and OPEX reduction.
The immediate next step is a live demo against your own systems — this is the plan once it confirms fit.
We sell intelligence — through complex relationship mappings.
