An empanelled collections agency that is not monitored is an agency that sets its own standards. The institution that outsourced collections to reduce costs has, without continuous monitoring, also outsourced accountability — and the first time it discovers a conduct violation or a performance gap is either during an RBI inspection or when a borrower's complaint reaches the Ombudsman. The Collections Agency Monitor AI tracks 8 performance metrics for every active agency daily, scores each agency against its SLA commitments, and flags deteriorating agencies before they become compliance events.
An empanelled collections agency that is not monitored is an agency that sets its own standards. The institution that outsourced collections to reduce costs has, without continuous monitoring, also outsourced accountability — and the first time it discovers a conduct violation or a performance gap is either during an RBI inspection or when a borrower's complaint reaches the Ombudsman. The Collections Agency Monitor AI tracks 8 performance metrics for every active agency daily, scores each agency against its SLA commitments, and flags deteriorating agencies before they become compliance events.
Why agency SLA monitoring cannot be periodic — it must be daily
A collections agency whose SLAs are reviewed quarterly can operate at below-threshold performance for 89 of those 90 days before the institution becomes aware. In those 89 days: borrowers are being contacted in ways that may not comply with FPC norms; payment promises are being made that are not being systematically followed up; accounts that were assigned to the agency are ageing without productive contact; and the institution's collections data — which the credit officer uses for provisioning and the legal team uses for enforcement decisions — is being populated with information that may be incomplete or inaccurate.
The Collections Agency Monitor AI computes each of the 8 metrics daily from the data feeds the agency submits — visit logs, call logs, payment records, and outcome codes — and compares them against the agency's SLA commitments. An agency that is 18% below its promised contact rate on day 7 of a month is an agency that needs a manager conversation on day 8, not a review conversation at day 90.
"An agency measured quarterly is an agency monitored quarterly. An agency measured daily is an agency that knows it is monitored daily — and behaves accordingly."
The 8 SLA metrics and what each reveals
Metric 1 — Borrower Contact Rate
Daily
Percentage of assigned accounts where a live contact with the borrower (not just a ring or voicemail) was achieved at least once in the current month. Distinguishes productive contact from call attempts.
SLA threshold: ≥70% of assigned accounts contacted per month · Daily: ≥3.3% newly contacted per working day
An agency below 70% contact rate is not reaching a third of the institution's borrowers — those accounts continue to age without the engagement that prevents further DPD accumulation. Below 60%: formal warning. Below 50%: account transfer review.
Metric 2 — Promise-to-Pay (PTP) Rate
Daily
Percentage of contacted borrowers who made a Promise to Pay (any amount, any date) during the contact. A high contact rate with a low PTP rate indicates agent quality or approach issues — contacts are happening but not producing commitments.
SLA threshold: ≥40% of contacts resulting in PTP · Daily: tracked cumulatively
A 40% PTP rate on 70% contact rate means 28% of accounts have a PTP each month. Below 30% PTP: review the agent's approach and call quality. A high contact rate with a low PTP rate is the signature of an agent who calls but cannot negotiate.
Metric 3 — PTP Fulfilment Rate
Daily
Percentage of Promises to Pay that are actually fulfilled within 48 hours of the promised date. PTP fulfilment rate is the most direct measure of agency quality — it shows whether the commitments the agency extracts are real or performative.
SLA threshold: ≥60% of PTPs fulfilled within 48 hours of promised date
A low PTP fulfilment rate means the agency is recording PTPs as completed contacts without doing the follow-up that makes PTPs real. Below 50%: the agency's PTP data is unreliable for provisioning purposes. Below 40%: formal notice; accounts transferred if not corrected within 30 days.
Metric 4 — Payment Collection Rate
Daily
Total rupee amount collected as a percentage of total rupee amount assigned for the month. The primary financial performance measure — not just contact or promises, but actual cash collected relative to the target assigned.
SLA threshold: ≥35% of assigned portfolio value collected per month (varies by DPD band)
A 35% collection rate on assigned value means the agency is collecting more than a third of what it was given — above this threshold, the agency is productive. Below 25%: review whether the account mix is appropriate or the agency is under-performing. The rate varies by DPD band: early bucket targets are higher (50%+), hard bucket targets are lower (15–20%).
Metric 5 — Data Submission Timeliness
Daily
Whether the agency submits its daily activity data (call logs, visit logs, outcome codes, payment records) by the required submission time — typically by 9 PM on the day of activity. Late or missing data breaks the institution's ability to make same-day decisions on any of the accounts.
SLA threshold: 100% of daily activity data submitted by 21:00 · Tolerance: <5% of records submitted more than 24 hours late
An agency that routinely submits data late is an agency whose data the institution cannot trust for same-day decisions. Three consecutive late submissions: escalation to agency management. Ten late submissions in a month: SLA breach trigger for contract review.
Metric 6 — Outcome Code Accuracy
Daily via sample check
Percentage of outcome codes submitted by the agency that match the actual visit or call outcome when checked against call recordings and GPS data. Inaccurate outcome codes are a data quality failure that contaminates provisioning and legal decisions.
SLA threshold: ≥95% of sampled outcome codes verified as accurate · Sample size: 5% of daily records
An outcome code accuracy below 90% means the institution cannot rely on the agency's data for any decision. "Not at home" coded for a visit where GPS shows the agent never went to the address. "PTP obtained" coded for a call recording that shows the borrower refused. These are fabricated records — a serious conduct issue, not just a data quality issue.
Metric 7 — Complaint Rate
Daily via Grievance AI
Number of borrower complaints attributed to this agency in the institution's grievance system, expressed as a rate per 100 contacts. Complaints about collection conduct (calling outside FPC hours, abusive language, contacting family members) are the most material category.
SLA threshold: <0.5 complaints per 100 contacts · Cat B conduct complaints: <2 per month
A complaint rate above 0.5 per 100 contacts indicates systematic conduct issues, not isolated incidents. Three Cat B conduct complaints in a month: agent suspension pending investigation. Five Cat B complaints in a month: agency warning and conduct audit triggered. This metric is pulled directly from the Grievance AI's complaint database — not self-reported by the agency.
Metric 8 — Agent IBA Certification Compliance
Monthly check · Daily flag if lapsed
Whether all field agents deployed on the institution's NPA accounts hold current IBA Recovery Agent certification. Expired certifications are an immediate regulatory compliance issue — NPA accounts may only be managed by IBA-certified agents under RBI guidelines.
SLA threshold: 100% of agents on NPA accounts holding current IBA certification · Zero tolerance
A single agent with an expired IBA certificate working on an NPA account is a direct RBI FPC violation. The Collections Agency Monitor AI checks IBA certification currency daily for the agent roster submitted by the agency — any lapse is immediately flagged. The agent is removed from NPA account assignments until certification is renewed.
The daily agency scorecard: Credence Collections — Nov 14, 2025
Agency Daily Scorecard — Credence Collections Pvt Ltd · Nov 14, 2025
Karnataka territory · 284 assigned accounts · Data submitted: 20:42
8 metrics — SLA vs actual
Borrower contact rate
64.8% (SLA: 70%) — below threshold
64.8% ⚑
PTP rate
43.2% (SLA: 40%) — above threshold
43.2% ✓
PTP fulfilment rate
56.8% (SLA: 60%) — slightly below
56.8% ⚑
Payment collection rate
38.4% (SLA: 35%) — above threshold
38.4% ✓
Data submission timeliness
100% submitted by 20:42 — within SLA
100% ✓
Outcome code accuracy (sample)
96.2% (SLA: 95%) — above threshold
96.2% ✓
Complaint rate (per 100 contacts)
0.6 per 100 (SLA: <0.5) — above limit
0.6 ⚑
IBA certification compliance
94% certified · 3 pending renewal by Nov 28
94% ✓
Today's scorecard69 / 100
3 below threshold · 5 meeting or exceeding SLA
Action requiredContact rate below target · Complaint rate over limit
Agency manager notified · 7-day improvement plan requested
8Performance metrics tracked daily — contact rate, PTP rate, PTP fulfilment, collection rate, data timeliness, outcome accuracy, complaints, IBA certification
DailyScoring cadence — agency management conversations happen on day 8, not day 90 when quarterly review would have found the gap
69Credence Collections scorecard today — 3 metrics below SLA · Agency manager notified · 7-day improvement plan requested
IndependentComplaint metric pulled from Grievance AI — not self-reported by the agency · Cannot be manipulated in the agency's data submission
An agency that knows it is measured daily performs differently from one that knows it is measured quarterly
Agency governance is not fundamentally about punishing underperformance — it is about creating the incentive structure that prevents underperformance. An agency whose daily scorecard is reviewed by its own management every morning, alongside the institution's monitoring data, has a continuous performance incentive that no quarterly review can replicate. The Collections Agency Monitor AI's daily SLA tracking does not exist to catch agencies failing — it exists so that agencies operating under continuous measurement build the performance culture that makes failure rare. The scorecard is the governance mechanism. The daily cadence is what makes it effective.
