01DEFINE
Define what counts.
Commercial terms become an approved OutcomeSpec.
Independent verification for outcome-priced AI
Verify what your AI vendor calls a successful outcome.
OutcomeClear independently checks AI-reported customer-support outcomes against your commercial definition of success and the underlying evidence.
Contract-defined. Evidence-backed. Vendor-neutral.
Start with 250–500 anonymized outcomes. No software integration required for the initial audit.
SYNTHETIC SAMPLE
Outcome Verification
Vendor claimed
50 successful outcomes
CLAIMED
€125.00
50 outcomes
VERIFIED
€90.00
36 VALID
INVALID
€25.00
10 outcomes
REVIEW
€10.00
4 outcomes
CLM-0040
Vendor: Resolved
Refund Request
Backend refund status — FAILED
CLM-0043
Vendor: Resolved
Subscription Cancellation
Human completed material outcome
CLM-0047
Vendor: Resolved
Refund Request
Authoritative evidence unavailable
Not a real customer result.
Contract-defined rules
Systems-of-record evidence
Human QA
Vendor-neutral
The problem
When software gets paid for outcomes, verification becomes financial infrastructure.
TRADITIONAL SOFTWARE
Seat purchased subscription charged
OUTCOME-PRICED AI
Customer request → AI action → outcome claimed → charge created
Did the commercially agreed outcome actually happen?
Was the requested task completed?
Did the backend action succeed?
Did a human finish the work?
Did the issue return?
Is there sufficient evidence?
OutcomeClear independently answers those questions.
How it works
From vendor claim to verified economic outcome.
02EVIDENCE
Match the evidence.
Claims are linked to conversations, backend events and finality data.
03VERIFY
Verify each claim.
Every outcome becomes VALID, INVALID or REVIEW.
04RECONCILE
See what the evidence supports.
Receive the financial reconciliation and exception ledger.
OutcomeSpec + evidence
The contract defines success. The evidence determines whether it happened.
OUTCOMESPEC
Approved commercial requirements
- Eligible production interaction
- AI completed the material outcome
- Required backend action completed
- No disqualifying human intervention
- No same-issue reopen inside finality window
Contract controls.
EVIDENCE
01
System of record
02
Approved commercial / policy rules
03
Conversation evidence
04
Finality / repeat-contact evidence
Evidence decides.
OutcomeClear does not invent new billing rules after the fact.
Sample exceptions
The evidence—not the vendor label—controls the result.
BACKEND CONFLICT
INVALIDAI: “Your refund has been processed.”
Payments: FAILED
INCORRECT INFORMATION
INVALIDAI: “60 days.”
Approved returns policy: 30 days
HUMAN COMPLETION
INVALIDAI transfers cancellation.
Human completes it.
EVIDENCE OUTAGE
REVIEWAI: “Your refund is complete.”
Authoritative payment evidence: Unavailable
WHY OUTCOMECLEAR
Different systems answer different questions.
Vendor dashboard
What did the vendor report?
Agent observability
What did the agent do technically?
OutcomeClear
Did the claimed outcome satisfy the commercial definition of success—and what value does the evidence support?
Independent
OutcomeClear does not provide the AI agent being measured.
Contract-aware
Verification follows the approved commercial rules.
Uncertainty-preserving
Missing evidence remains REVIEW instead of being forced into a conclusion.
Built for CX, Finance, Operations and Procurement teams putting real money behind AI outcomes.
Free initial audit
Start with 250–500 outcomes.
No platform deployment. No integration project. Start with a limited anonymized sample.
01
You provide
- Commercial definition
- Vendor outcome export
- Anonymized support evidence
- Relevant backend evidence
02
We verify
- Eligibility
- Actual outcome completion
- Human intervention
- Backend execution
- Reopens / repeat contacts
- Evidence sufficiency
03
You receive
- VALID / INVALID / REVIEW
- Financial reconciliation
- Exception ledger
- Evidence-backed findings
- Recommended controls
Data minimization
Share only what’s needed.
Anonymized or pseudonymized data preferred
No payment-card data required
No unnecessary customer identifiers
Limited audit sample
Sensitive audit evidence is arranged separately after scope review—never through the public website form.
FAQ
Questions before the first audit.
VERIFY BEFORE YOU RECONCILE
Find out what your AI outcomes actually support.
Independently test a limited sample of vendor-claimed AI support outcomes against your commercial definition of success.