Within 30 Days
Needs AttentionReason: Missing policy information
See upcoming renewals, missing information, service signals, and follow-up work in one governed view. Use AI to prioritise attention without handing customer decisions to a model.
Mimasa AI adds intelligence and workflow automation around insurance renewal operations. Your policy, billing, CRM, underwriting, and communication systems remain in place.
Explainable priorities · Approved outreach · Human decisions · Traceable workflows
Reason: Missing policy information
Reason: Open service issue
Reason: Broker follow-up due
A calendar shows when a policy approaches renewal. It does not always show which account needs attention or why.
Mimasa combines approved signals into a board where teams inspect evidence, filter the portfolio, and assign the next permitted step.
A priority is a prompt for review. It is not proof that a customer will leave or renew.
Needs Attention
Missing policy information
Renewal team · Request review
Review Suggested
Open service issue
Servicing lead · Resolve context
Preparing
Broker follow-up due
Distribution · Assign task
The insurance policy renewal process can involve several teams, systems, and review points. Mimasa adds AI-supported preparation and workflow automation around those steps.
01
Organise upcoming policies by configured time windows.
02
Find missing documents, data, approvals, tasks, or customer information.
03
Combine approved policy, payment, claim, service, engagement, and interaction signals.
04
Apply configured rules or approved models and show every reason.
05
Assign tasks, request review, prepare permitted communication, and track responses.
06
Capture the authorised decision, completed actions, reason, and feedback.
Pricing, coverage, eligibility, underwriting, and customer treatment remain under authorised control.
An insurance renewal process may already run through a policy system, CRM, billing platform, agency system, or spreadsheets. Mimasa coordinates approved work across them without replacing those tools.
Explore AI Across BFSI →A compact passport shows what is ready, what is uncertain, who owns the next step, and which record supports it.
| Readiness Field | What It Shows | Safeguard |
|---|---|---|
| Policy Context | Policy reference, product, term, customer, and authorised parties | Source from the approved policy system |
| Time Window | Renewal date, days remaining, milestones, and deadlines | Use configured calendars and rules |
| Information Status | Available, missing, conflicting, stale, or awaiting review | Never mark uncertain data as complete |
| Service Context | Open requests, complaints, interactions, and unresolved issues | Use only approved and relevant data |
| Risk Or Propensity Input | Approved score, segment, rule result, or indicator | Show source, date, reason, and limits |
| Next Action | Review, document request, broker task, service recovery, or outreach | Require the right owner and approval |
| Outcome | Renewed, pending, lapsed, cancelled, moved, or configured status | Record only the authorised system outcome |
An insurance policy renewal needs more than a date reminder. Mimasa can prepare a source-linked brief from approved policy, service, claim, payment, and workflow information.
The brief supports review. It does not create renewal terms or make an underwriting decision.
Explore Insurance Policy Document Intelligence →Insurance retention becomes an AI and automation use case when signals lead to controlled work. A dashboard alone does not retain a policyholder.
Each signal needs context. A payment issue, complaint, or missed response may have a simple explanation.
Customer retention in insurance can involve service quality, product fit, price, coverage, trust, timing, claims experience, communication, and personal circumstances.
AI cannot know a customer's intent from one signal. Mimasa helps teams combine available context and manage the next approved action.
This supports insurance customer retention with data intelligence and human-led service. It does not rank customers by protected or inappropriate attributes.
Identify gaps and locate available records
Assign a request to the right team or intermediary
Summarise interactions and open commitments
Route service recovery for human review
Show recent approved communication history
Suggest a permitted follow-up path
Bring together available billing and interaction context
Route to an authorised servicing workflow
Prepare a fuller account brief
Assign specialist review using configured rules
Explain contributing inputs where available
Prioritise review without treating the score as certainty
Insurance customer retention requires timely action across servicing, renewal, distribution, and operations teams. Configured agents coordinate that work within defined permissions.
Agents do not choose prices, coverage, customer eligibility, or final outcomes.
Explore Agentic Workflow AutomationLane 01
Policies are approaching the configured renewal window. Teams can prepare data and start readiness checks.
Lane 02
A missing item, service signal, approval, risk input, or delayed action requires review.
Lane 03
An owner, task, approved outreach step, response, or decision is pending.
Teams can view each lane by portfolio, product, region, broker, team, or another approved business dimension.
Mimasa prepares context and draft communication for approved renewal workflows. The insurer controls who may contact the customer, when, and through which channel.
Mimasa does not promise hyper-personalisation or fully autonomous customer engagement.
The term insurance renewal software can refer to policy systems, agency platforms, CRM tools, reminder products, or renewal-management applications. Mimasa has a narrower role around those systems.
| Capability | Existing Operational System | Mimasa AI Layer |
|---|---|---|
| Official Policy And Renewal Record | System of record | Reads or updates only through approved integration |
| Premium And Billing Calculation | Core platform responsibility | Does not replace it |
| Underwriting And Renewal Terms | Authorised underwriting workflow | Prepares context and routes review |
| Customer And Intermediary Records | CRM, policy, or agency system | Creates a connected view from permitted data |
| Renewal Prioritisation | May use rules or native analytics | Adds configurable intelligence with reasons shown |
| Missing-Information Checks | May exist in separate tools | Connects checks to tasks and approvals |
| Cross-Team Workflow | May be fragmented | Coordinates tasks, exceptions, and permitted actions |
| Final Renewal Outcome | Authorised system and professional | Records or passes the approved outcome |
A renewal portfolio view helps leaders understand workload and attention areas. It limits sensitive customer detail to each user's permissions.
Use descriptive analysis first. Predictive views require appropriate data, validation, monitoring, and business approval.
Require an authorised person before each customer-impacting decision or exception.
Limit portfolios, customer context, actions, and reports by role and business need.
Let users inspect the source behind every material priority, summary, or flag.
Use only approved information that is relevant to the workflow.
Keep pricing, coverage, underwriting, offers, and customer-impacting actions under review.
Record agent steps, changes, approvals, exceptions, and permitted actions.
Support cloud, private-cloud, and on-premise approaches based on business needs.
See approaching renewals and incomplete work in one place.
Understand which accounts need attention and why.
Gather approved context and create renewal briefs more efficiently.
Apply configured tasks, approval gates, and timing rules.
Connect renewal, servicing, distribution, operations, and underwriting work.
Retain the source, action, approval, and outcome history.
Results vary with portfolio scope, available data, process design, permissions, integration, model validation, and team adoption.
Connect policy, claims, customer, broker, and operational data through governed AI workflows.
Explore AI For Insurance →Extract, compare, search, and review policies, schedules, declarations, endorsements, and clauses.
Explore Policy Intelligence →Prepare submissions, identify missing information, apply configured checks, and route underwriting review.
Explore Underwriting Automation →Turn governed business data into source-aware analysis, priorities, dashboards, and workflows.
Explore Data & Decision Intelligence →Clear answers about renewal intelligence, retention signals, workflow automation, approved outreach, system boundaries, and human decisions.
Connect renewal dates, policy context, service signals, missing information, and follow-up work. Let AI prepare the path while your teams retain control.
Bring one renewal portfolio, process map, or sample data flow to the discovery session.