Complete review context
Keep required evidence and session references connected to the case.
VIDEO VERIFICATION & KYC · AI WORKFORCE
Give reviewers a clear verification record.
Video verification & KYC with UnleashX is a workflow an AI employee owns from first contact through to the record that proves the outcome. Design a verification responsibility around approved identity checks, captured evidence and a named reviewer. Scope the video experience separately from the decision: completing a session does not establish identity or KYC approval.
A defined business outcomeEvidence in your systemsHire or build the responsible role
WHAT BETTER LOOKS LIKE
Start with the result your team needs.
These are the intended outcomes to validate for your deployment. Judge the employee by the work completed and the exceptions handled, not by conversation volume alone.
Visible uncertainty
Flag missing, conflicting or unreadable information for review.
An accountable decision
Record the authorized reviewer and decision state separately from evidence collection.
THE EVIDENCE STANDARD
A completed video session is not an approved identity check.
Use these acceptance criteria to assess a pilot. They describe evidence to verify, not measured customer results or a promised uplift.
ILLUSTRATIVE OUTCOME · NOT A CUSTOMER RESULT
A review decision with a traceable basis.
Completion follows confirmed evidence. Each state below depends on the required source record.
Verification case
Evidence collected
Required items and session references linked
Awaiting next source confirmationEvidence collected
Required items and session references linked
Shown in this exampleChecks reviewed
Authorized reviewer assesses the required evidence
Pending evidenceDecision recorded
Decision and rationale saved to the case
Pending evidence
This is an illustrative review model, not a live video-KYC demo or a claim of biometric capability. No live records or measured performance are shown.
| Outcome to validate | Evidence that supports it | What is not sufficient |
|---|---|---|
| Evidence collected | Required items and session references attached to the case. | The session ended successfully. |
| Review complete | Authorized decision and reason recorded against the applicable checks. | An upload or a face on screen treated as verified identity. |
| Exception owned | Unresolved checks and next reviewer explicitly assigned. | A generic retry message without follow-up ownership. |
Compare against your own baseline.
Separate session completion, evidence completeness, review completion and decision outcomes. Evaluate incomplete and conflicting cases; do not infer accuracy or regulatory compliance from completion rates.
ILLUSTRATIVE WORKING EXAMPLE
See the responsibility in action.
Inspect what the employee does, the record it prepares and when a person takes ownership. This simulation demonstrates the intended behavior; it is not a live system run or a customer case study.
NEHA AT WORK
From transaction alert to a documented review path.
Neha autonomously validates transaction alerts, runs approved identity checks, captures customer confirmations and records or routes alert outcomes under your rules. Switch to an exception to see when, and why, your team steps in.
The conversation
I received an alert about a transaction I don’t recognize.
NEHA
Let’s follow the approved identity checks and record which transaction concerns you.
Conversation → structured context
Neha
Match the alert to its source record
Autonomous · within your rules
Alerts + case management
People join only when needed
Alert case
- Alert · matched to record
- Identity · approved checks
- Response · unrecognized activity
SYSTEM ACTION
Match the alert to its source record
Awaiting workflow steps
Step 1 of 4 · Validate
Example sequence only. Channels, integrations and permitted actions are configured and validated for your deployment.
PUT A ROLE BEHIND THE OUTCOME
Hire Neha. Or build your own.
Choose a pre-built role, then configure its knowledge, supported actions and limits for your environment.
Neha
Fraud & Verification Specialist
Explore a related verification role; scope video and KYC requirements as a custom configuration.
Hire Neha →Build a custom workforce
Design a responsibility around your outcome, systems and exception rules. Agree the evidence that will establish completion before adding channels or expanding autonomy.
Build your workforce →MAKE THE OUTCOME SUPPORTABLE
Agree the access, authority and evidence.
A credible pilot needs the right source records and clear boundaries. Review the proposed scope with the owners who will operate and assess it.
Connect the source of truth
Confirm the actual video provider, identity-check services, evidence storage and review system. Availability of recording, liveness checks or document analysis must be established for the proposed configuration.
Review integration requirements →Keep decisions with the right owner
The related Neha simulation demonstrates transaction-verification routing, not a live video-KYC implementation. Identity decisions and regulatory requirements need an approved review process; no camera or biometric analysis is implied by this page.
Review governance & security →Bring evidence to the first discussion.
Share anonymized examples, the current outcome definition, baseline measurements and cases that went wrong. Agree the test cohort, observation window and release criteria. Keep unresolved and failed cases visible in the evaluation.
VIDEO VERIFICATION & KYC QUESTIONS
Understand the outcome, and its limits.
Is the animation a video-KYC demonstration?
No. It is Neha’s related transaction-verification example, showing record capture and escalation. A video-KYC workflow needs a separately scoped experience, checks, evidence and review process.
Does UnleashX automatically perform liveness or biometric checks?
This page makes no such availability claim. Confirm the required providers, supported checks and integration before implementation.
Does finishing a video session establish identity?
No. Session completion and evidence collection are different from a reviewed identity decision. Define the required checks and who can approve the result.
Is this workflow certified as compliant?
No compliance certification is asserted here. Your responsible teams must review the actual configuration, handling of sensitive data and applicable requirements before launch.
Are the examples on this page measured customer results?
No. The animated scenarios are illustrative and the evidence criteria describe what to inspect in a deployment. They are not production benchmarks or a guarantee of improvement. Validate the intended outcome with representative cases and your own source records.
Can we hire a pre-built employee or build our own?
Both. Start with a pre-built responsibility shown here, or design a custom role around your outcome. In either case, scope knowledge, system access, permitted actions and exception ownership before launch.
What do we need for a pilot?
Bring the target outcome, baseline records, representative requests and exceptions, required systems and an accountable owner. Agree success criteria and data-handling requirements before testing. Timing depends on access, integration and review work rather than a universal launch promise.
Which integrations and channels are supported?
Confirm the specific systems, API operations, access requirements and channels with the implementation team. The categories here are a scoping guide, not a native-integration guarantee. Test failure handling and result verification as well as successful interactions.
START WITH A RESULT YOU CAN VERIFY
What would a better outcome look like for your team?
Bring one responsibility and the records that define success. We’ll scope the employee and the evidence needed to evaluate it.