Identity And Policy References
Check: Required identifiers, policy references, and permitted source matches
Next: Route uncertain or conflicting details for review
AI For Insurance
Automated Claims Processing With Human Control
Turn forms, documents, correspondence, invoices, and reports into a clear claim case. Mimasa AI checks completeness, prepares context, supports triage, and routes exceptions to authorised reviewers.
Use insurance claims automation to reduce manual hand-offs without removing adjuster judgment. Every important fact can stay connected to its source and workflow history.
Source-linked information · Human decisions · Governed workflows · Flexible deployment
Received
Claim form · incident report · correspondence
Missing Evidence
One supporting invoice needs follow-up
Extracted Facts
Incident date · source linkedPolicy reference · matchedReported location · source linkedClaimant details · review ready
Routing Suggestion
Needs more information before standard review
Assigned
Claims adjuster
Complete Claim Packet
Start With A Complete Claim Packet
Claims arrive through forms, portals, email, documents, images, reports, call notes, and partner systems.
Mimasa organises approved information into a review-ready packet for insurance claims processing. The insurer’s authorised system remains the source of record.
- 01Claimant, insured, policy, and event references
- 02Incident date, location, and reported circumstances
- 03Forms, reports, invoices, and correspondence
- 04Extracted facts with direct source links
- 05Missing, conflicting, or outdated information
- 06Open questions and requested evidence
- 07Owner, priority, and service deadline
- 08Review, approval, and communication status
Claim Readiness Board
Readiness Before A Claims Decision
The board shows operational readiness, not eligibility or coverage. A qualified claims professional decides how the case proceeds.
Event Information
Check: Date, location, reported cause, description, and relevant parties
Next: Ask for missing facts or assign a follow-up task
Supporting Evidence
Check: Required forms, reports, invoices, correspondence, and approved material
Next: Mark received, missing, unreadable, or outdated items
Data Consistency
Check: Names, dates, amounts, references, and statements across approved sources
Next: Create a source-linked exception for review
Workflow Readiness
Check: Required fields, owners, queues, approvals, and service dates
Next: Recommend the next permitted step
Controlled Process
How Automated Claims Processing Works
Automated claims processing uses document intelligence, data checks, rules, AI, and workflows to reduce repetitive administration.
01
Receive
Capture approved claim forms, files, messages, and system data.
02
Understand
Classify documents and extract defined information.
03
Check
Find missing fields, unreadable content, duplicates, and inconsistencies.
04
Prepare
Build a source-linked claim summary and evidence list.
05
Route
Suggest a queue or reviewer using configured criteria.
06
Track
Manage questions, tasks, approvals, exceptions, and reporting.
This is claims process automation around professional handling. Automated insurance claims processing prepares information and moves work safely; it is not autonomous adjudication.
Source Context
AI Claims Processing That Shows Its Sources
AI claims processing should help a reviewer understand a case, not hide it behind a score.
AI insurance claims processing can show the source file, page, mapping, conflicts, review status, and responsible approver for each material fact.
AI in insurance claims works best when the system stops on uncertainty. Missing evidence and high-impact cases move to a person.
Controlled Routing
Claims Triage Supports The Queue
Routing Lane 01
Ready For Standard Review
Required information is present. The reviewer still decides the next action.
Routing Lane 02
Needs More Information
Missing, conflicting, or unreadable evidence creates a follow-up task.
Routing Lane 03
Specialist Or Supervisor Review
Configured complexity, urgency, vulnerability, or referral conditions need extra attention.
Claims triage covers classification, completeness, priority support, and routing—not a final claim decision.
Adjuster Workflow
Claims Workflow Automation Around The Adjuster
Claims workflow automation connects documents, facts, questions, tasks, and approvals around the claims professional.
Before Review
- — Classify received material
- — Extract required fields
- — Check the claim packet
- — Retrieve approved policy and process context
- — Prepare a case timeline
- — Flag conflicts and missing information
During Review
- — Show source-linked facts
- — Record questions and reviewer notes
- — Request further evidence
- — Assign specialist tasks
- — Route exceptions
- — Preserve changes and decisions
After Review
- — Draft approved follow-up content
- — Track commitments and deadlines
- — Update permitted systems after approval
- — Prepare internal reporting
- — Retain an auditable workflow record
This insurance claims workflow adapts by product, claim type, region, complexity, and operating model. Insurance claims process automation follows existing roles instead of imposing one path.
Adjuster Brief
Put The Case Context On One Screen
An AI claims assistant can prepare this view. The adjuster verifies the information and chooses the next action.
Source-Linked Claim BriefReview Required
What Happened
A short, source-linked event summary and timeline.
What Was Received
Documents, data, correspondence, and evidence status.
What Needs Attention
Missing information, conflicts, deadlines, and configured exceptions.
What Policy And Process Say
Relevant approved clauses, guidance, and procedures with source links.
What Happens Next
Tasks, owners, review requirements, and permitted workflow options.
Document Intelligence
Process Claim Files With Direct Source Links
Mimasa can process approved forms, reports, invoices, letters, emails, schedules, and supporting records.
- Identify document type
- Extract defined facts
- Connect related files
- Compare repeated facts
- Find missing pages
- Distinguish versions
- Create review tasks
- Return original passages
Document processing supports claims processing automation. It does not prove a statement or determine coverage.
Exception Desk
Give Every Exception An Owner
Source · Category · Owner · ActionOpen Review
- — Missing or unreadable documents
- — Unmatched references
- — Inconsistent facts
- — Duplicate submissions
- — Required specialist input
- — Approaching service dates
- — Incomplete approvals
- — Failed permitted updates
This is workflow support, not fraud detection. Potential indicators go to a specialist investigation process.
Claims Analytics
Claims Analytics That Lead To Action
Claims analytics can show where work slows, why cases return, and which operational exceptions repeat.
Claims processing analytics improve workflow. They are not actuarial analysis, reserve adequacy, or automated claim valuation.
Packet completeness
Queue age
Missing-information types
Exception recurrence
Review workload
Approval delays
Dashboard To Work
Turn A Signal Into Assigned Work
- 01Dashboard shows cases waiting for documents
- 02User opens the affected claim group
- 03Mimasa finds the common missing item
- 04Workflow prepares an approved request
- 05Reviewer approves communication where required
- 06Tasks and responses stay connected
- 07Dashboard updates as cases move
Technology Boundary
Automated Claims Management Around Existing Systems
Buyers may search for automated claims management, claims automation software, or insurance claims automation software. Mimasa provides a defined intelligence layer.
| Existing Capability | Its Role | Mimasa AI Role |
|---|---|---|
| Claims-Management System | Official records, transactions, decisions, reserves, and payments | Uses authorised context and sends permitted updates after approval |
| Policy-Administration System | Policy, coverage, endorsement, and insured-party records | Retrieves approved context for professional review |
| Document Repository | Forms, evidence, correspondence, and reports | Classifies, extracts, compares, and searches content |
| Specialist Claims Tools | Fraud, medical, legal, estimating, or damage-analysis work | Routes cases and evidence to the appropriate specialist process |
| Mimasa AI | Approved data, documents, analysis, agents, tasks, and approvals | Provides a configurable intelligence and workflow layer |
Mimasa is not a full claims workflow software replacement. Insurance claims processing automation connects the workflow while core systems retain authoritative records.
AI Decision Boundary
AI For Claims Processing, With Clear Limits
AI for claims processing can reduce repetitive preparation and help professionals focus on complex cases.
AI for insurance claims and insurance claims AI mean governed information processing and workflow support—not autonomous coverage, liability, causation, reserve, valuation, payment, denial, or settlement decisions.
Intake classification
Document extraction
Completeness checks
Source-linked summaries
Operational triage
Knowledge retrieval
Exception routing
Management reporting
Governed Agents
AI Claims Management With Stop Conditions
AI claims management works when agents have defined purposes, role-based access, permitted tools, escalation rules, approval points, and complete history.
- 01Monitor an approved intake
- 02Classify the submission
- 03Extract required information
- 04Check the expected packet
- 05Retrieve authorised knowledge
- 06Prepare a case brief
- 07Recommend an operational route
- 08Create tasks and request review
- 09Record each action
This supports AI claims automation while consequential decisions stay with authorised employees.
Governance Rail
Govern Sensitive Claims Information
Claims may contain personal, financial, health, incident, legal, and third-party information.
Role-based access control
Approved source and dataset boundaries
Source-linked answers and summaries
Document and data version context
Agent tool and action limits
Human approval checkpoints
Workflow and decision audit trails
Governed datasets and reusable snapshots
Cloud, private-cloud, or on-premises deployment patterns
Mimasa provides configurable controls. It does not certify compliance or determine legal or regulatory sufficiency.
Controlled Rollout
Start With One Claim Type And One Queue
01
Choose A Focused Workflow
Select one claim type, intake source, and operational queue.
02
Define Required Information
Record fields, documents, policy context, and responsible owners.
03
Set Decision Boundaries
Separate automated preparation from professional review and claim authority.
04
Configure Exceptions
Plan for missing, unreadable, conflicting, duplicate, and sensitive information.
05
Build The Workflow
Connect intake, extraction, checks, briefs, tasks, approvals, and reporting.
06
Test Difficult Cases
Include incomplete packets, unusual formats, access limits, and failed updates.
07
Measure And Improve
Review completeness, queue age, rework, exceptions, reviewer effort, and adoption.
Set baselines inside the insurer’s environment. Do not assume generic accuracy, cost, cycle-time, or settlement improvements.
Connected Context
Work Around Authoritative Insurance Systems
Mimasa complements approved claims, policy, document, communication, and specialist systems.
Data Extraction
Extract defined information from approved claim files.
Workflow Builder
Coordinate questions, exceptions, reviews, and approvals.
Data Governance
Control sources, datasets, access, versions, and review history.
Visualisation And Dashboards
Connect operational signals with underlying cases and work.
Frequently Asked Questions
Clear answers about automated claims processing, claims triage, adjuster support, specialist referrals, and human authority.
Get Started
Give Adjusters A Clearer Case From The Start
Connect approved claim documents, data, checks, exceptions, tasks, and reviews in one governed AI workflow.