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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.

Trusted by teams at

  • Ostello
  • Karma Hyundai
  • Xoxoday
  • Aye Finance
  • OnGrid
  • Regus Automobiles
  • Codestax
  • AAFM
  • Sapio Analytics
  • Gullybaba
  • ICOFP
  • AksEdge
  • eMSME
  • Black Kite Foundation
  • MedoPlus

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.

Complete review context

Keep required evidence and session references connected to the case.

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.

Verification case: A review decision with a traceable basis.

  1. 01

    Evidence collected

    Required items and session references linked

  2. 02

    Checks reviewed

    Authorized reviewer assesses the required evidence

  3. 03

    Decision recorded

    Decision and rationale saved to the case

Verification decisions stay with authorised reviewers; evidence and rationale are recorded with the case.

Video verification & KYC outcome evidence
Outcome to validateEvidence that supports itWhat is not sufficient
Evidence collectedRequired items and session references attached to the case.The session ended successfully.
Review completeAuthorized decision and reason recorded against the applicable checks.An upload or a face on screen treated as verified identity.
Exception ownedUnresolved checks and next reviewer explicitly assigned.A generic retry message without follow-up ownership.

Your baseline

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.

Explore evaluation and improvement

The workflow

See the responsibility in action.

See the employee’s actions, the record it prepares and when a person takes ownership.

Neha · AI employee

From transaction alert to a documented review path

Conversation

I received an alert about a transaction I don’t recognize.

Alert case

  • Alert · matched to record
  • Identity · approved checks
  • Response · unrecognized activity
Alerts + case managementRoute transaction concern

Illustrative scenario, not live product data.

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 employee

Fraud Analyst

Neha

Explore a related verification role; scope video and KYC requirements as a custom configuration.

Hire Neha

Custom role

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 and security

Before the first call

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.

Review deployment boundaries

Video verification & KYC questions

Know the outcome,
and its limits.

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.

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.

This page makes no such availability claim. Confirm the required providers, supported checks and integration before implementation.

No. Session completion and evidence collection are different from a reviewed identity decision. Define the required checks and who can approve the result.

No compliance certification is asserted here. Your responsible teams must review the actual configuration, handling of sensitive data and applicable requirements before launch.

Agree a baseline and completion criteria for the workflow. Compare outcomes using your source records, including verified system changes, human review and unresolved cases.

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.

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.

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

From conversations to completed work.

Voice AI for client work

“Using UnleashX gave our team the power to build voice AI agents that deliver real results for our clients. Every use case became faster to deploy and easier to scale.”
Nitin KalraCEO, Blu ParrotPublished customer testimonial

What would a better outcomelook 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.