Portfolio & Policy Console
Define product, geography, bucket, contact policy, partner scopes and approval thresholds.
CollectAI connects collection strategy, channels, agencies, field teams, payments and governance in a single operating model. It is designed for enterprises that want to modernize recovery without making compliance, agency governance or field execution harder to control.
CollectAI works as a control plane, execution plane and intelligence plane for debt collection and recovery. It helps teams configure policies, allocate cases, coordinate channels, govern agencies, track field evidence, close payments and use AI recommendations within approval-led guardrails.
| Layer | Business function | Why it matters |
|---|---|---|
| Control | Policy, consent, allocation, SLA, strategy and approval workflows. | Ensures scale happens inside governed boundaries. |
| Execution | Tele, digital, WhatsApp, bots, field visits, legal flows and payments. | Unifies activity across channels and partners. |
| Intelligence | Segmentation, priority scoring, next-best-action and command centre analytics. | Improves prioritization and prevents blind chasing. |
| Governance | Audit trails, evidence capture, contact policy, QA and model guardrails. | Reduces conduct, compliance and reputational risk. |
Define product, geography, bucket, contact policy, partner scopes and approval thresholds.
Allocate cases using geography, bucket, exposure, capacity, skill, language and historical performance.
Manage assignments, users, activity, evidence, SLA, payout logic, exceptions and client reporting.
Support route planning, geo-tagged visits, proof capture, disposition discipline and productivity views.
Track promises, broken PTPs, payment links, UTRs, auto-reconciliation and closure evidence.
Use AI for prioritization, recommendations and nudges while keeping material decisions approval-bound.
The main layers are control plane, execution plane, intelligence plane, governance plane and finance/settlement plane.
It is the capability to allocate cases based on policy, geography, skill, workload, performance, exclusions and business rules.
It means every field visit is governed by route planning, timestamped action capture, GPS evidence, disposition discipline and audit-ready reporting.
Bounded autonomy means AI may recommend or execute only within approved policies, thresholds and human approval boundaries.