Complete review context
Keep required evidence and session references connected to the case.
VIDEO VERIFICATION & KYC · AI WORKFORCE
Give reviewers a clear verification record.
Identity verified on video with the evidence retained, for onboarding that has to satisfy an auditor.
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.
Measure the pilot against agreed completion criteria and verify each outcome in your systems.
WHAT COMPLETION LOOKS LIKE
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
Verification decisions stay with authorised reviewers; evidence and rationale are recorded with the case. 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.
THE WORKFLOW
See the responsibility in action.
See the employee’s actions, the record it prepares and when a person takes ownership.
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
AI Fraud Verification Agent
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.
What is video KYC verification?
Video KYC verification is a workflow an AI employee owns from identity capture through to retained evidence, for regulated onboarding that has to satisfy an auditor.
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.
How do we measure success?
Agree a baseline and completion criteria for the workflow. Compare outcomes using your source records, including verified system changes, human review and unresolved cases.
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.
CUSTOMER REVIEWS ON G2
From conversations to completed work.
4.9/ 5
1 / 7
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.