BFSI
Collections & Recovery
Collections teams are usually measured on activity — calls made, visits logged — because that's what the dialer and field-agent app report by default. Actual recovery outcomes, and which agents or approaches are genuinely converting a given bucket, require connecting activity data to payment data, which most collections stacks don't do out of the box.
FireAI links dialer and field-agent activity to actual recovery outcomes, surfaces roll-rate trends before they become NPA, and tracks settlement patterns against policy — so collections leadership can allocate effort toward what actually recovers money.
Bucket-wise Collection Efficiency
Collection efficiency is usually reported as one team-wide number, which hides the fact that recovery rates vary enormously by DPD bucket, product, and channel. A team hitting its overall target can still be badly underperforming in the bucket that matters most for provisioning relief.
FireAI breaks down collection efficiency by bucket, product, and channel in real time, so collections leadership can see exactly where recovery is on track and where it's stalling, before the monthly roll-up masks the gap.
Collections Efficiency Dashboard
Field Agent Recovery Productivity
Field agent performance is almost always measured on visits completed, not amount recovered — which rewards activity over outcomes. Two agents with identical visit counts can have wildly different recovery rates, and that gap is invisible in a standard visit-log report.
FireAI connects field-agent visit logs to actual payment outcomes, ranking agents by recovery per visit rather than visit count, and surfaces which scripts or approaches are driving the highest converting agents' results.
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Roll-Rate Analysis Across DPD Buckets
Roll-rate — the percentage of accounts that move from one DPD bucket to the next, worse one — is the single best predictor of future NPA formation, but it requires tracking individual accounts across monthly snapshots, which most collections reporting doesn't do.
FireAI tracks account-level bucket transitions month over month, surfacing roll-rate by product and origination channel, so collections and risk teams can see which segments are trending toward write-off well before the aggregate NPA number moves.
Settlement & Write-off Tracking
Settlement approvals and write-offs often get tracked in a spreadsheet maintained by whoever last touched the account, making it hard to see aggregate settlement discount trends or which approvers are settling more generously than policy allows.
FireAI consolidates settlement and write-off data across the recovery pipeline, tracking discount percentage against policy limits and flagging approvers or branches whose settlement patterns deviate from the norm.