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COLLECTIONS · AI WORKFORCE

Make every payment follow-up accountable.

Contact inside your compliance windows, promise-to-pay recorded, and reconciliation against the actual payment event.

A defined business outcomeEvidence in your systemsHire or build the responsible role

WHAT BETTER LOOKS LIKE

Start with the result your team needs.

These are the intended outcomes to validate for your deployment. Judge the employee by the work completed and the exceptions handled, not by conversation volume alone.

Account facts stay current

Check the servicing source before explaining the outstanding amount or next step.

Follow-up leaves a useful record

Save the customer response with an account reference and distinguish intent from payment.

Sensitive cases reach a specialist

Capture hardship or a dispute and stop the routine path when the case needs human review.

THE EVIDENCE STANDARD

A promise to pay is not a received payment.

Measure the pilot against agreed completion criteria and verify each outcome in your systems.

WHAT COMPLETION LOOKS LIKE

Payment status reconciled to the account.

Completion follows confirmed evidence. Each state below depends on the required source record.

Servicing record

Account checked

Current balance and customer response recorded

Awaiting next source confirmation
  1. Account checked

    Current balance and customer response recorded

    Shown in this example
  2. Payment verified

    Payment source confirms receipt

    Pending evidence
  3. Account reconciled

    Receipt matched to the servicing record

    Pending evidence

A promise to pay does not advance the payment state. Hardship and disputes require specialist ownership. No live records or measured performance are shown.

Outcome to validateEvidence that supports itWhat is not sufficient
Accurate account contextReferenced servicing balance and current payment state.An amount inferred from an earlier conversation.
Recorded follow-upTimestamped response and the agreed next action in the account record.Dial volume or contact count alone.
Received paymentConfirmed payment-system result reconciled to the account.Customer intent, an initiated transaction or an unverified write.

Compare against your own baseline.

Compare equivalent account cohorts and observation periods. Report contact, response, promised payment and confirmed payment separately. Review disputed balances, hardship routing and unresolved reconciliations alongside operational volume.

Explore evaluation & improvement

THE WORKFLOW

See the responsibility in action.

See the employee’s actions, the record it prepares and when a person takes ownership.

Choose a workflow to explore

ROHIT AT WORK

From payment query to a traceable account outcome.

Rohit autonomously checks account balances, runs approved payment reminders, answers factual account questions, records customer responses and reconciles payment status. Switch to an exception to see when, and why, your team steps in.

Worked example

The conversation

CUSTOMER REQUEST

I received a payment reminder. Can you confirm the outstanding amount?

ROHIT

I’ll check the current account record before discussing the available next steps.

Conversation → structured context
Rohit

Rohit

Read the current account balance

Autonomous · within your rules
Servicing + payments
People join only when needed

Account follow-up

WORK RECORD
  • Account · reference matched
  • Balance · source checked
  • Customer response · recorded
SYSTEM ACTION

Read the current account balance

Awaiting workflow steps

Step 1 of 4 · Check

Example sequence only. Channels, integrations and permitted actions are configured and validated for your deployment.

PUT A ROLE BEHIND THE OUTCOME

Hire Rohit. Or build your own.

Choose a pre-built role, then configure its knowledge, supported actions and limits for your environment.

Rohit, AI employee

Rohit

AI Collections Agent

Check account status, record permitted follow-up and route sensitive exceptions.

Hire Rohit →

Build a custom workforce

Design a responsibility around your outcome, systems and exception rules. Agree the evidence that will establish completion before adding channels or expanding autonomy.

Build your workforce →

MAKE THE OUTCOME SUPPORTABLE

Agree the access, authority and evidence.

A credible pilot needs the right source records and clear boundaries. Review the proposed scope with the owners who will operate and assess it.

Connect the source of truth

Scope the servicing ledger, payment status, contact preferences and specialist case queue. Confirm the allowed channels, timing, stop conditions and access before any live outreach.

Review integration requirements →

Keep decisions with the right owner

Do not let routine follow-up make restructuring, hardship or settlement decisions. A disputed balance or uncertain payment result remains unresolved until the responsible source or specialist establishes the next action.

Review governance & security →

Bring evidence to the first discussion.

Share anonymized examples, the current outcome definition, baseline measurements and cases that went wrong. Agree the test cohort, observation window and release criteria. Keep unresolved and failed cases visible in the evaluation.

COLLECTIONS QUESTIONS

Understand the outcome, and its limits.

What is AI collections?

AI collections is a workflow an AI employee owns from eligible contact through to a recorded promise-to-pay or an assigned exception, reconciled against the actual payment event.

Can Rohit change repayment terms?

Not in this example role. Requests for restructuring, settlement or an exception go to an authorized specialist with the customer’s request and account context. Any broader authority needs an explicitly reviewed configuration.

What happens when a customer reports hardship?

Stop the routine follow-up path and route the disclosure to the designated support specialist. Preserve the customer’s wording, completed actions and remaining decision. Do not turn the disclosure into an unsupported payment commitment.

How do we demonstrate collections impact?

Use confirmed payment records and comparable account cohorts. Separate outreach, contact, commitments and payments. Differences in account age, balance and eligibility can change results, so a raw contact uplift is not evidence of improved recovery.

Is the workflow automatically compliant?

No universal compliance claim is made. Your responsible teams must review the proposed contact permissions, timing, content, data handling and exception behavior for the deployment. The simulation does not initiate any outreach.

How do we measure success?

Agree a baseline and completion criteria for the workflow. Compare outcomes using your source records, including verified system changes, human review and unresolved cases.

Can we hire a pre-built employee or build our own?

Both. Start with a pre-built responsibility shown here, or design a custom role around your outcome. In either case, scope knowledge, system access, permitted actions and exception ownership before launch.

What do we need for a pilot?

Bring the target outcome, baseline records, representative requests and exceptions, required systems and an accountable owner. Agree success criteria and data-handling requirements before testing. Timing depends on access, integration and review work rather than a universal launch promise.

Which integrations and channels are supported?

Confirm the specific systems, API operations, access requirements and channels with the implementation team. The categories here are a scoping guide, not a native-integration guarantee. Test failure handling and result verification as well as successful interactions.

Aye Finance
Bajaj Capital
eMSME
Shyama Power
MedoPlus
Gullybaba
ICOFP
Sapio Analytics
Ostello
OnGrid
Black Kite Foundation
AAFM
Regus Automobiles
Karma Hyundai
Codestax
AksEdge
Tiger FinTech
Coneon
Xoxoday
Blu Parrot
Edgy Scribblers
NxG
V2C

CUSTOMER REVIEWS ON G2

From conversations to completed work.

4.9/ 5
  • End-to-end automation

    We’ve deployed UnleashX across a genuinely wide range of use cases, rather than relying on a single narrow bot.
    Nitin J.SVP, Head of EngineeringEnterprise (> 1,000 employees)
1 / 7

START WITH A RESULT YOU CAN VERIFY

What would a better outcome look like for your team?

Bring one responsibility and the records that define success. We’ll scope the employee and the evidence needed to evaluate it.