Eligible customers receive relevant follow-up
Work from the current policy and renewal notice, with configured contact rules.
POLICY RENEWALS · AI WORKFORCE
Know which renewals are moving, and which need attention.
Eligibility checked, reminders sent and payment followed through, with likely lapses surfaced before the expiry date.
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.
Intent turns into a trackable next step
Record the customer’s choice and the approved action still needed.
Pending issuance stays visible
Reconcile payment and policy state separately, and assign coverage changes to servicing.
THE EVIDENCE STANDARD
Renewal intent, payment and issuance are three different facts.
Measure the pilot against agreed completion criteria and verify each outcome in your systems.
WHAT COMPLETION LOOKS LIKE
A renewal confirmed in the policy record.
Completion follows confirmed evidence. Each state below depends on the required source record.
Renewal record
Intent recorded
Customer wishes to proceed
Awaiting next source confirmationIntent recorded
Customer wishes to proceed
Shown in this examplePayment confirmed
Payment evidence matched to the policy
Pending evidenceIssuance verified
Policy source confirms the renewed state
Pending evidence
If issuance is pending, the renewal remains pending, even when payment has been received. No live records or measured performance are shown.
| Outcome to validate | Evidence that supports it | What is not sufficient |
|---|---|---|
| Eligible follow-up | Current policy reference and applicable renewal notice. | A reminder sent against a stale record. |
| Customer intent | Recorded response and outstanding next action. | Intent reported as a completed renewal. |
| Issued renewal | Confirmed policy state, reconciled with the relevant payment record. | Payment initiation or an unverified confirmation message. |
Compare against your own baseline.
Evaluate a defined renewal cohort over an agreed window. Separate eligible policies, reached customers, intent, confirmed payment and issuance. Review pending states and servicing exceptions rather than excluding them from the results.
THE WORKFLOW
See the responsibility in action.
See the employee’s actions, the record it prepares and when a person takes ownership.
PRIYA AT WORK
From renewal reminder to recorded customer intent.
Priya autonomously checks renewal eligibility, sends approved reminders, answers renewal questions, records customer intent and reconciles payment and policy status. Switch to an exception to see when, and why, your team steps in.
The conversation
My policy renews soon. Can you explain the next steps?
PRIYA
I’ll check your current renewal notice and the approved payment instructions.
Conversation → structured context
Priya
Read current policy and renewal notice
Autonomous · within your rules
Policy + payments
People join only when needed
Renewal record
- Policy · eligible for renewal
- Notice · current version
- Intent · wishes to renew
SYSTEM ACTION
Read current policy and renewal notice
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 Priya. Or build your own.
Choose a pre-built role, then configure its knowledge, supported actions and limits for your environment.
Priya
AI Policy Renewals Agent
Follow up on eligible renewals and reconcile customer intent, payment and policy state.
Hire Priya →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
Connect policy administration, renewal notices, approved payment instructions and servicing queues. Agree how event freshness and changes to eligibility affect follow-up.
Review integration requirements →Keep decisions with the right owner
Coverage changes, disputed terms and non-standard offers need the servicing team. If payment is confirmed but issuance is pending, the employee must preserve that distinction rather than promise active cover.
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.
POLICY RENEWALS QUESTIONS
Understand the outcome, and its limits.
What is automated policy renewal?
Automated policy renewal is a workflow an AI employee owns from eligibility check through reminders to payment or a recorded exception, so likely lapses surface before the expiry date.
Can Priya change coverage during renewal?
The role routes coverage or terms changes to servicing. It can explain approved renewal information and record the request, but it should not independently negotiate or alter cover outside its scope.
What proves that a renewal is complete?
The agreed source of truth must confirm the policy’s resulting state. Payment and customer intent are separate evidence. Define how pending issuance, failed payment and conflicting events are handled before launch.
How should renewal performance be measured?
Use a defined eligible cohort and observation period, and distinguish intent from issued policies. Track unresolved cases and reasons for servicing handoff. An increase in reminder volume alone does not establish improved renewal performance.
What happens if the notice changes after contact?
Check the current notice and eligibility before the next action. Configure how stale information is corrected and how the customer is informed. Changes needing interpretation should be assigned to the responsible servicing owner.
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.
CUSTOMER REVIEWS ON G2
From conversations to completed work.
4.9/ 5
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.