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AI Agent Profile · LendingIQ · Agent #74 · VKA2

Video KYC / AML Sales Agent AI

Function: V-KYC / AML Sales CloserInvoked via: V-KYC / AML scheduling request · drop-off detection · session completion nudgeRuntime: AWS Bedrock · eu-west-1Model: Claude Sonnet 4Context window: 200K tokens

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What this agent does

The Video KYC / AML Sales Agent AI treats V-KYC / AML scheduling as a sales conversion challenge — not just an administrative step. It books sessions at times that maximise first-attempt pass rates, sends preparation guides that reduce the most common failure reasons, rescues borrowers who miss their session before they abandon the application entirely, and applies completion nudges calibrated to the borrower's drop-off point and communication pattern. It replaces the V-KYC / AML scheduling and follow-up work of a dedicated V-KYC / AML sales closer, systematically improving the completion rate that determines how many applications reach disbursement.

Primary functions

V-KYC / AML Scheduling

Per borrower · within 2 hours of V-KYC / AML stage being reached

Invoked when: the borrower's application reaches the V-KYC / AML stage in the LOS — scheduling is initiated within 2 hours

  • Initiates V-KYC / AML scheduling proactively — not waiting for the borrower to request a slot. Queries the V-KYC / AML platform for available slots in the next 48 hours, identifies the 3 slots most likely to produce a successful first-attempt pass based on time-of-day patterns (sessions conducted in early morning or late afternoon have higher pass rates due to lighting conditions and borrower availability), and presents these options to the borrower in their preferred channel.
  • Sends a V-KYC / AML preparation guide at the time of booking confirmation — a brief, illustrated set of instructions covering: the 4 documents to have ready (original national ID or eID document, original passport or proof of address, a blank paper for live signature, and any income document specified by the credit policy), the environment requirements (adequate lighting, quiet space, stable internet connection), and the 3 most common reasons for V-KYC / AML failure and how to avoid them.
  • Confirms the booking with a calendar invite or WhatsApp message that includes the session link, officer contact details (for technical support immediately before the session), and a 30-minute reminder. The 30-minute reminder is the single most effective nudge for reducing session no-shows — borrowers who have the reminder are significantly more likely to present for their scheduled session.
Output: V-KYC / AML session booked — slot, platform link, officer contact. Preparation guide dispatched at booking confirmation. 30-minute pre-session reminder scheduled. Booking record in LOS for V-KYC / AML Moderator AI pre-session context.

Drop-Off Rescue

Per missed session · within 30 minutes of session miss

Invoked when: the V-KYC / AML platform reports that a booked session was not attended — rescue sequence begins within 30 minutes

  • Detects a missed session within 5 minutes of the scheduled end time. Within 30 minutes of the missed session, dispatches a re-engagement message to the borrower acknowledging that the session was missed (without judgment), offering the next available slot, and providing a one-tap rescheduling option. The message framing is warm and practical — not a reminder of failure, but a frictionless path to rescheduling.
  • Investigates the likely reason for the miss from available signals: if the borrower had a low mobile network quality indicator in the 30 minutes before the session, the rescheduling message suggests a location change as a preparation tip; if the session was scheduled mid-afternoon (high-failure time slot), the rescheduling message proactively suggests a morning or evening slot.
  • Tracks the number of V-KYC / AML session misses per borrower — borrowers who have missed 3 sessions are flagged for human review, because at this stage the application is at high risk of abandonment and the automated rescheduling sequence may not be the right intervention. Some multiple-miss cases are logistics problems the agent can solve; others are signals of genuine ambivalence requiring a relationship manager conversation.
Output: Drop-off rescue message dispatched within 30 minutes of missed session — with rescheduling link. Signal-informed framing for the re-engagement message. 3-miss flag for human review. Rescue sequence performance log — rescheduling rate per rescue message variant.

Completion Nudges

Per unbooked or pending borrower · daily scan

Invoked when: daily scan identifies borrowers who have reached the V-KYC / AML stage but have not yet booked a session, or who rescheduled and have not confirmed

  • Runs a daily scan of all applications at the V-KYC / AML stage — identifying borrowers who have not yet scheduled a session (scheduling-pending), those who have a session scheduled but not yet completed, and those who rescheduled after a miss but have not yet confirmed the new slot. Each status receives a different nudge calibrated to the specific point of friction.
  • Calibrates nudge frequency to the borrower's channel engagement pattern — borrowers who have been responsive to prior WhatsApp messages receive WhatsApp nudges; unresponsive borrowers receive a channel-switched nudge. Nudge frequency is capped at 2 per week for V-KYC / AML specifically — excessive nudging for compliance steps feels coercive and damages the borrower relationship.
  • Tracks first-attempt V-KYC / AML pass rates by time slot, preparation guide version, and borrower segment — the primary optimisation metric for the scheduling and preparation workflow. A scheduling approach that increases first-attempt pass rates by 5 percentage points reduces the rescheduling volume, the ops cost, and the application-to-disbursement timeline for the entire portfolio.
Output: Daily nudge dispatch log — borrower, status, channel, and nudge type. First-attempt V-KYC / AML pass rate by slot, preparation guide version, and segment. Weekly V-KYC / AML stage conversion report — applications that completed V-KYC / AML and advanced to credit review vs those that dropped off.

Knowledge base

V-KYC / AML Platform — Slot and Session Data

Available slot feed, booking confirmations, and session attendance records. The real-time source for scheduling and drop-off detection.

V-KYC / AML Preparation Guide Library

Illustrated preparation guides by language and device type — reviewed against ECB / EBA V-CIP guidelines before activation to ensure preparation guidance does not create coaching risk for fraudulent behaviour.

Session Pass Rate History by Time Slot and Segment

First-attempt pass rate data by day, time, and borrower segment — the input for slot recommendation optimisation.

ECB / EBA V-CIP Guidelines (Summary)

The regulatory requirements for V-KYC / AML conduct — used to ensure that preparation communications are compliant. Full compliance is the responsibility of the Video KYC / AML Moderator AI.

LOS — Application Stage and Borrower Contact Data

Application stage, borrower mobile and email, and preferred channel — the scheduling and nudge dispatch source.

Pre-Training — Digital KYC / AML and Conversion Knowledge

V-KYC / AML process design, conversion optimisation for compliance steps, and ECB / EBA digital KYC / AML guidelines up to knowledge cutoff.

Hard guardrails

Will notModerate or conduct the V-KYC / AML session. In-session conduct — verification steps, document inspection, liveness checks, and pass/refer decisions — is the exclusive responsibility of the Video KYC / AML Moderator AI and the human V-KYC / AML officer. This agent's role ends when the borrower joins the session.
Will notProvide preparation guidance that coaches borrowers on how to pass identity verification with fraudulent documentation. All preparation guide content is reviewed against ECB / EBA V-CIP guidelines and Fraud Detection Agent AI inputs before activation. Guidance that could facilitate identity fraud is not included regardless of its potential to improve pass rates.
Will notDispatch more than 2 V-KYC / AML-related nudges per week per borrower. Excessive nudging for compliance steps feels coercive and damages the relationship with borrowers who may have genuine scheduling difficulties.
Will notBook a V-KYC / AML session for a borrower who has an active fraud flag from the Fraud Detection Agent AI. Abnormal booking patterns and active fraud signals suppress the scheduling workflow pending human review.

Known limitations

First-attempt pass rate improvement is bounded by factors outside this agent's control — the borrower's physical environment (lighting, internet stability), their ability to present original documents, and their compliance with V-CIP session requirements. Preparation guides and optimal slot scheduling reduce avoidable failures; they cannot eliminate failures caused by the borrower's environment or document availability.Track first-attempt failure reasons reported by the Video KYC / AML Moderator AI — categorising failures into avoidable (poor lighting, no original documents) and structural (internet connectivity in the borrower's area). Avoidable failures are the target for preparation guide improvement; structural failures may require alternative KYC / AML pathway design for borrowers in connectivity-challenged geographies.
The agent's slot recommendation optimisation is based on historical first-attempt pass rate data — which may not be sufficient to produce statistically reliable recommendations for all borrower segments. For newer geographies with limited session history, the slot recommendation is a best-guess based on the general pattern rather than a segment-specific optimisation.Accumulate a minimum of 200 completed sessions per segment before applying segment-specific slot optimisation. Below this threshold, use the general best-slot guidance and tag the segment accordingly so that its pass rate data is not used to calibrate segment-specific recommendations prematurely.
Agent Profile · Video KYC / AML Sales Agent AI · LendingIQ · Agent #74Last updated April 2026 · For internal use

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