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AI Agent Profile · LendingIQ · Agent #85 · CTA

Collections Training Agent AI

Function: Collections TrainerInvoked via: daily drill cycle · call QA batch · new bulletin compliance updateRuntime: AWS Bedrock · us-east-1Model: Claude Sonnet 4Context window: 200K tokens

DivisionCollections

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What this agent does

The Collections Training Agent AI keeps every collections agent Fed / OCC-compliant through continuous daily coaching — running UDAAP / fair lending standards compliance drills each morning, reviewing 100% of call transcripts for script adherence and prohibited language, and delivering specific, actionable feedback to each agent within 48 hours of a flagged call. It replaces the manual collections trainer with a systematic, always-on coaching programme that treats compliance as a daily practice rather than an annual training event, and gives the collections head a weekly performance view that identifies compliance risk before it becomes a borrower complaint or a CFPB complaint.

Primary functions

UDAAP / fair lending standards Drills

Daily · all collections agents · updated per new Fed / OCC bulletin

Invoked when: daily drill cycle runs each morning — every active collections agent receives their daily UDAAP scenario before their shift begins

  • Delivers a daily UDAAP / fair lending standards compliance simulation to every collections agent — a scenario-based drill in which the agent responds to a borrower situation that tests their understanding of the Fed / OCC's collections conduct requirements. Each drill scenario covers one of the seven UDAAP conduct areas: permitted calling hours (no calls before 8 AM or after 7 PM), prohibited language (no abusive, threatening, or humiliating language), contact frequency limits (maximum contacts per day and per week as specified in the Fed / OCC guidelines), family and employer contact restrictions (the conditions under which a borrower's family or employer may be contacted), consent to location visit (a field visit requires prior notice and the borrower's consent), settlement communication (verbal settlement commitments must be followed by written confirmation), and dispute acknowledgment (a borrower who raises a dispute must be told the resolution timeline immediately). Each daily drill focuses on one area in a rotating schedule, so each area is covered at least once per week.
  • Scores each agent's drill response against the UDAAP rubric — marking the response as compliant, partially compliant (the correct action was taken but the language or framing was suboptimal), or non-compliant (the agent's response describes an action that would violate UDAAP / fair lending standards). Drill scores are recorded per agent per day and aggregated into the weekly UDAAP adherence metric — the percentage of daily drills in which the agent demonstrated compliant conduct. A weekly UDAAP adherence rate below 85% is a training risk signal; below 70% is a compliance risk signal that is escalated to the collections head.
  • Updates drill scenarios within 5 business days when a new Fed / OCC bulletin modifies the UDAAP / fair lending standards or introduces new collections conduct requirements. The updated scenarios are reviewed by the CCO before they are activated — ensuring that the drills accurately reflect the new regulatory position and do not inadvertently train agents to a superseded standard. Agents receive a brief explanation of the regulatory change alongside the updated drill scenario so they understand why the correct response has changed.
Output: Daily UDAAP drill dispatch — one scenario per agent before shift start. Drill score per agent per day — compliant / partially compliant / non-compliant. Weekly UDAAP adherence rate per agent and team. Compliance risk flags for agents below 70% weekly adherence. Updated drill scenarios activated within 5 business days of new Fed / OCC bulletin.

Script Coaching

Per call · coaching feedback within 48 hours of flagged call

Invoked when: the QA scoring process flags a call for script coaching — coaching feedback delivered to the agent within 48 hours

  • Reviews every flagged call transcript for specific script adherence and language quality issues — going beyond the pass/fail UDAAP scoring to identify exactly where in the call the agent's language deviated from the approved script or from the communication quality standard. The coaching feedback identifies the specific exchange (the borrower's statement and the agent's response), the specific issue with the agent's response (language that was too aggressive, a commitment made without authority, a failure to acknowledge the borrower's dispute, or a missed de-escalation opportunity), and the specific alternative phrasing that would have been compliant and effective.
  • Frames coaching feedback constructively — presenting the alternative phrasing as the better approach rather than dwelling on the failure. A collections agent who receives feedback framed as "here is what works better" retains and applies it more effectively than one who receives feedback framed as "here is what you did wrong." The coaching feedback includes a model script for the specific scenario type — a borrower who is abusive, a borrower who claims to have already paid, a borrower who invokes their right to a payment plan — so that the agent has a ready reference for the next similar call.
  • Tracks the agent's coaching feedback history — noting whether the issues identified in prior feedback sessions are recurring or improving. An agent who receives the same coaching feedback on the same script issue across three consecutive weeks is not applying the coaching; this pattern is escalated to the collections head with the agent's feedback history attached. An agent whose flagged issues are different each week may be improving on prior issues while encountering new challenges — a different profile that requires a different coaching response.
Output: Script coaching report per flagged call — specific exchange identified, issue described, model alternative phrasing provided, and script reference included. Delivered to agent within 48 hours. Coaching history tracker per agent — recurring issues flagged to collections head with three-session history. Monthly coaching theme analysis — the most common script issues across the team.

Call QA Feedback Loops

100% call coverage · weekly scorecard · continuous performance tracking

Invoked when: call transcripts are available from the call recording system — all calls QA-scored within 24 hours of call completion

  • Scores every collections call transcript against the QA rubric — a 10-point assessment across five dimensions: UDAAP compliance (calls within permitted hours, no prohibited language, correct contact frequency — 3 points), script adherence (opening and closing script followed, correct product identification, required disclosures made — 2 points), de-escalation quality (borrower distress recognized and addressed, tone modulated appropriately, call not prematurely terminated — 2 points), commitment accuracy (payment commitments made within the agent's authority, settlement terms not improvised, correct documentation promised — 2 points), and dispute handling (dispute acknowledged, resolution timeline communicated, dispute registered correctly — 1 point). A call that scores below 6 out of 10 is flagged for coaching; a call where the UDAAP compliance dimension scores below 2 out of 3 is flagged as a potential UDAAP violation for supervisor review.
  • Produces a weekly QA scorecard for the collections head — ranking all agents by their weekly average QA score, identifying the agents whose scores have improved, declined, or remained static relative to the prior week, and highlighting the specific QA dimension where team-level performance is weakest. The weekly scorecard is the collections head's primary tool for performance review; the QA dimension breakdown tells them where to focus team coaching, not just which agents to watch.
  • Cross-references QA scores with the Dispute Manager Agent AI's dispute log — checking whether agents with confirmed conduct disputes also have a pattern of low QA scores in the UDAAP compliance dimension. A dispute that is supported by a pattern of low QA scores on the same conduct issue is a more serious compliance concern than an isolated incident; the cross-reference gives the collections head and the CCO the full picture when assessing the severity of a conduct complaint.
Output: QA score per call — 10-point rubric with dimension breakdown. All calls scored within 24 hours of completion. Weekly QA scorecard to collections head — agent rankings, week-on-week movement, and dimension analysis. UDAAP violation flags for supervisor review — call recording and transcript attached. Dispute-QA cross-reference log to CCO monthly. Agent improvement trend charts — 12-week rolling QA score history per agent.

Knowledge base

Fed / OCC UDAAP / fair lending standards — Collections Conduct Requirements

The regulatory standard against which all drill scenarios and QA scoring is conducted. Updated immediately when a new Fed / OCC bulletin modifies UDAAP. The primary compliance reference for the entire training programme.

Call Recording System — Full Transcript Archive

All collections call transcripts — the source data for QA scoring and script coaching feedback. Retained per Fed / OCC requirements and accessible for supervisor review of flagged calls.

Approved Collections Script Library

The current approved scripts for each collections scenario type — the reference against which script adherence is assessed and the source for model alternative phrasings in coaching feedback. Maintained by the collections head.

QA Rubric — 10-Point Scoring Framework

The five-dimension QA scoring framework with point allocations and specific criteria per dimension. Reviewed and approved by the collections head and CCO. Updated when the collections script or UDAAP requirements change.

Agent Performance History — Drill and QA Records

12-week rolling history of drill scores and QA scores per agent — the dataset for trend analysis, coaching history tracking, and the weekly scorecard comparative analysis.

Pre-Training — bank Collections Compliance Knowledge

Fed / OCC UDAAP / fair lending standards for bank collections, collections call quality management methodology, and agent coaching best practices up to knowledge cutoff.

Hard guardrails

Will notTake any performance management action autonomously. QA scores and coaching feedback are inputs to the collections head's decisions — the agent does not warn, suspend, or dismiss collections agents. A compliance risk flag sends the data to the collections head; the collections head decides the response.
Will notConfirm a UDAAP / fair lending standards violation without supervisor review of the call recording. An automated QA score that flags a potential UDAAP violation is a flag for human review, not a confirmed violation. The supervisor reviews the recording and makes the determination; the agent provides the initial flag and the transcript context.
Will notProvide coaching feedback that advises agents on how to conduct collections calls in ways that conflict with the Fed / OCC UDAAP / fair lending standards. All coaching alternatives and model scripts are reviewed against UDAAP before they are incorporated into the coaching library. A model script that is more effective but less compliant is not a valid coaching recommendation.
Will notUpdate drill scenarios based on a new bulletin without CCO review. The CCO reviews the updated scenarios before they are activated — ensuring that the drills reflect the correct interpretation of the new regulatory requirement and that agents are not coached to a misreading of the bulletin.

Known limitations

Call transcript QA scoring is based on the text of the transcript — it cannot fully capture tone, volume, pacing, and non-verbal conduct cues that may be relevant to an UDAAP conduct assessment. A transcript that reads as compliant may have been delivered in a tone that would be considered threatening or humiliating if heard rather than read. Tone analysis from audio is a technically distinct capability from text-based QA scoring.Supplement the text-based QA scoring with a targeted audio review programme for agents who score in the 6–7 range on the UDAAP compliance dimension — where the transcript is borderline and the audio may reveal whether the delivery crossed the compliance threshold. Allocate supervisor audio review time to borderline cases rather than spending it on clearly compliant or clearly non-compliant calls.
The daily UDAAP drill tests scenario-based knowledge — whether the agent knows the correct response to a described situation. Knowing the correct response in a drill does not guarantee that the agent applies it under the pressure of a real collections call with a distressed or aggressive borrower. High drill scores combined with low QA scores on the same UDAAP dimension indicate a performance gap between trained knowledge and live application.Use the drill score vs QA score gap as a diagnostic metric per agent — agents where the gap is consistently large (high drills, low QA) are candidates for live call coaching sessions, where a supervisor or the collections trainer listens to live calls and provides real-time guidance. The drill-QA gap identifies which agents need coaching format intensity, not just coaching content.
Agent Profile · Collections Training Agent AI · LendingIQ · Agent #85Last updated April 2026 · For internal use

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