Receive a proposal, claim, service request, document, or event.
Insurance
AI In Insurance: Analytics And Governed Automation
Connect policy, claims, customer, broker, and operational data. Mimasa AI helps insurers create trusted analysis and coordinate work across the insurance lifecycle.
Build governed AI agents for document review, case preparation, reporting, and workflow automation. Keep professionals responsible for important decisions.
Cloud, private-cloud, and on-premise deployment for insurers.
Policy Context
Coverage, endorsements, service history, and authorised customer information.
Claim Case FileEvidence Attached
Forms, images, invoices, reports, messages, and open exceptions prepared together.
Authorised Review
A professional reviews the evidence before a consequential action.
Approval RequiredConnected Lifecycle
Connect Work Across The Insurance Lifecycle
Insurance work crosses policy systems, claims platforms, broker channels, documents, images, customer communication, and financial applications.
Teams spend time collecting evidence, preparing case notes, and chasing approvals. Mimasa AI connects approved sources without replacing systems of record.
One Connected Layer For Insurance Operations
- Connect approved databases, APIs, files, documents, images, and applications.
- Extract information from proposals, policies, claims, reports, invoices, emails, and forms.
- Ask questions across authorised customer, policy, claims, broker, and operational data.
- Generate dashboards, summaries, reports, and presentations.
- Monitor events, deadlines, queues, thresholds, and exceptions.
- Route sensitive recommendations to authorised professionals.
- Retain sources, actions, approvals, and workflow outcomes.
Definition
What Is AI In Insurance?
AI in insurance uses machine intelligence to understand documents, analyse data, support professionals, and automate insurance processes.
It can identify patterns, extract facts, prepare cases, and coordinate multi-step work.
Effective insurance AI needs reliable data, clear permissions, human review, and audit trails.
Insurance Lifecycle
From Proposal To Claim: One Intelligence Layer
Selected Lifecycle Stage
Acquire And Distribute
Connect lead, broker, agent, product, and customer information. Prepare context, route work, and support approved communication.
Human Control At Key Decisions
Insurance Analytics
Insurance Analytics That Support Decisions
Insurance analytics should help teams understand what changed and what needs attention. It should not end with a static dashboard.
Results can create controlled alerts, tasks, cases, reports, or approval requests.
Insurance Data Analytics
Cross-source comparisons, trends, explanations, segments, and reusable datasets.
Insurance Business Intelligence
Governed KPIs, dashboards, management reports, and presentations.
Predictive Analytics In Insurance
Forecasts, early signals, patterns, and exceptions for professional review.
Claims And Underwriting Analytics
Portfolio views, workload analysis, case signals, and decision support.
Operational Analytics
Queues, turnaround times, service levels, exceptions, workloads, and bottlenecks.
Connected Data
Connect Insurance Data Without Creating Another Silo
Insurance data integration is often the foundation for useful automation.
Mimasa AI connects approved data through APIs, databases, documents, files, and configurable integrations.
Keep Authoritative Systems In Place
Governed datasets and reusable snapshots support insurance data management. Existing policy, claims, actuarial, billing, CRM, and finance platforms remain authoritative.
Workflow Automation01 02 03 04 05 06 07 08
Intelligent Automation In Insurance
Insurance work often includes missing evidence, varied documents, and professional judgment. Mimasa combines intelligent automation with permissions and human review.
Gather related information from authorised sources.
Extract and validate the required details.
Apply configured rules and identify unclear conditions.
Prepare analysis or a recommended next step.
Request professional review for sensitive decisions.
Trigger permitted tasks, messages, or system updates.
Preserve sources, actions, approvals, and outcomes.
Organisation Types01 02 03 04
Built For Different Insurance Organisations
Life Insurance
Connect proposal, policy, customer, servicing, beneficiary, claims, and distribution data. Life insurance analytics can support portfolio monitoring, service, renewals, and reporting.
Health Insurance
Bring together member, policy, provider, claim, document, service, and operational information. Health insurance automation can coordinate review and exception workflows.
Property And Casualty Insurance
Connect policy, risk, inspection, claim, image, repair, customer, and broker information. P&C insurance analytics can support case and portfolio review.
Brokers And Distribution Networks
Organise proposals, quotes, documents, follow-ups, renewals, commissions, and service work. Keep advice and communication under approved controls.
Priority Use Cases
Priority AI Use Cases For Insurance
Eight focused opportunities across claims, underwriting, policy service, distribution, and investigation.
Insurance Claims Processing Automation
Collect claim forms, documents, images, invoices, and reports. Check completeness and coordinate authorised review.
Explore Insurance Claims Processing Automation →Insurance Underwriting Automation
Bring together proposal details, evidence, policy rules, risk data, and prior records for professional review.
Explore Insurance Underwriting Automation →Insurance Policy Document Intelligence
Extract, compare, search, and explain information across policies, endorsements, schedules, clauses, and correspondence.
Explore Insurance Policy Document Intelligence →Insurance Fraud Investigation
Enrich alerts, connect related claims and entities, build timelines, assign tasks, and prepare investigation reports.
Explore Insurance Fraud Investigation →Insurance Renewal And Retention Intelligence
Identify approaching renewals, missing information, service signals, and accounts needing attention.
Explore Insurance Renewal And Retention Intelligence →Insurance Broker And Agent Operations
Coordinate proposal intake, document collection, quote review, follow-ups, commissions, renewals, and reporting.
Explore Insurance Broker And Agent Operations →Insurance Customer Service Automation
Give employees governed answers from approved policy, product, procedure, customer, and case information.
Explore Insurance Customer Service Automation →Insurance Survey And Damage Analysis
Organise inspection images, estimates, checklists, and survey reports. Identify missing evidence for review.
Detailed use case coming soon
Ask Insurance Data
Ask Questions Across Insurance Data
Turn natural-language questions into governed analysis, dashboards, reports, alerts, presentations, or approved workflow inputs.
Results depend on connected sources, access rights, data quality, and workflow configuration.
“Which claims are waiting for missing documents or review?”
“Summarise underwriting cases with unresolved policy exceptions.”
“Which renewals need action in the next 60 days?”
“Show the policy clauses relevant to this service request.”
“Compare claims turnaround time by product, region, and case type.”
“Which broker submissions have incomplete supporting information?”
“Prepare the weekly claims, underwriting, and operations review.”
Insurance AI Agents
Build AI Agents For Insurance With Defined Control
AI agents for insurance can monitor information, use approved tools, and coordinate multi-step work.
They pause for review when judgment or authority is required. Agentic AI should increase capacity without removing accountability.
- Monitor authorised data, events, queues, thresholds, and deadlines.
- Gather case context from several approved sources.
- Compare information with policies, procedures, or business rules.
- Find missing data and unusual conditions.
- Prepare case summaries, reports, and suggested actions.
- Create tasks, alerts, and escalation requests.
- Wait for approval before sensitive or consequential actions.
- Maintain a record of sources, actions, approvals, and outcomes.
Why Mimasa AI
Why Insurers Choose Mimasa AI
Analytics And Automation Together
Move from extraction to analysis, decision support, workflow coordination, and reporting.
Works With Existing Insurance Systems
Connect approved sources while policy, claims, actuarial, billing, CRM, and finance systems stay authoritative.
Human Control For Important Decisions
Keep underwriting, claims, fraud, compliance, and customer authority with professionals.
Flexible Deployment
Choose cloud, private-cloud, or on-premise deployment based on data and infrastructure needs.
Governed And Auditable Operations
Control access, restrict actions, capture approvals, and maintain records.
More Than Generative AI
Agents can monitor information, coordinate work, request approval, and trigger permitted actions.
Private AI
Private AI For Insurance
Customer identities, health information, policies, claims, images, financial records, and internal risk data require careful control.
Insurers control which users and agents may access each source. They also define approval requirements.
- Role-based access control
- Human approval checkpoints
- Limits on agent tools and actions
- Data, agent, and workflow audit trails
- Controlled access to sensitive information
- Configurable deployment choices
- Governed datasets and reusable snapshots
- Separate user, team, and workflow permissions
Start With One High-Value Insurance Workflow
Digital transformation in insurance does not require complete system replacement. Start with fragmented data, repeated review, delayed approvals, or a large exception queue.
Insurance AI FAQs
Common questions about AI in insurance, insurance analytics, automation, agents, and governed deployment.
Platform
Related Platform Capabilities
AI Agents
Build agents that analyse information and act within defined permissions.
Agentic Workflow Automation
Coordinate processes across systems, teams, agents, and approvals.
Data Extraction
Extract information from proposals, policies, claims, reports, forms, and images.
Data Governance
Control datasets, access, approvals, permissions, and auditability.
Visualisation And Dashboards
Explore policy, claims, customer, broker, portfolio, and operational information.
Insights And Reporting
Generate recurring analysis, reports, and presentations.
Gosthi Collaboration
Coordinate professionals, agents, cases, tasks, and shared workspaces.