Policy reading
Extracts cover, limits, excesses and exclusions with a link to the relevant clause.
OCR, clause analysis and citationsAI for insurance operations
AI for insurers and insurance brokeragesClearer policy and claim files for better-informed human decisions
Automation can assemble documents, explain cover and prioritise tasks without deciding acceptance or settlement by itself.
INDUSTRY CONTEXT
Where AI can add value in insurance and brokerages.
Policies, endorsements, receipts, communications and claim evidence create extensive files whose meaning depends on context. AI can structure them and link each value to a verifiable clause or document.
In distribution and claims handling, output should support rather than decide. Underwriting, price, product recommendation, coverage, rejection and settlement require review by authorised staff and clear communication to the customer.
POSSIBLE APPLICATIONS
What can be built technically.
Each application should be validated against the process, available data and the organisation's actual risk.
Broker comparison
Aligns products to a common schema while leaving differences and suitability to broker assessment.
Semantic normalisation and product matricesClaims intake
Classifies the notification, creates an evidence checklist and requests only what is missing.
Multimodal classification and document workflowsFile summary
Builds a chronology of contacts, documents and changes with verifiable references.
Temporal extraction and augmented generationService assistant
Prepares answers from the current policy and routes interpretation, complaints or vulnerability.
Version-aware RAG, guardrails and routingQuality control
Checks notices, consent and mandatory steps before administrative closure.
Rules engine and process miningTECHNICAL WORKFLOW
From evidence to an explainable resolution
The system assembles and checks; a professional interprets the policy and resolves the case.
- 01
Identify
Confirm customer, policy, version, effective date and case purpose.
- 02
Assemble
Extract data and organise evidence, marking omissions and contradictions.
- 03
Check
Relate facts to clauses and rules without concluding coverage automatically.
- 04
Resolve
A professional decides, records reasons and reviews customer communication.
INTEGRATIONS
Work with the existing operation.
The architecture adapts to each provider's APIs, permissions and limits. These are common tools and categories that would need validation.
- Salesforce
- Microsoft Dynamics 365
- Guidewire
- Duck Creek
- Majesco
- Microsoft 365
- DocuSign
CONTROL
Automate without losing accountability.
- Use only the applicable policy and version, with visible citations and document controls.
- Bias monitoring and no inference of undisclosed sensitive data for pricing or acceptance.
- Underwriting, recommendation, coverage, rejection and settlement decisions are always human.
FIRST PILOT
A small scope that can be measured.
A pilot could summarise authorised, closed escape-of-water claims. For four weeks, handlers would verify chronologies, policy citations and corrections; the system would neither estimate settlement values nor propose accepting or rejecting cover.
Questions about AI for insurance and brokerages
What can AI automate in insurance and brokerages?
A sensible starting point is repetitive, verifiable work such as policy reading, broker comparison, claims intake. Scope depends on available data, current tools and required controls.
Do existing systems need to be replaced?
Not necessarily. A pilot can connect to systems such as Salesforce, Microsoft Dynamics 365, Guidewire, Duck Creek and initially be limited to reading, preparing or proposing actions before automatic writes are allowed.
How is human oversight maintained?
Use only the applicable policy and version, with visible citations and document controls. Bias monitoring and no inference of undisclosed sensitive data for pricing or acceptance. Underwriting, recommendation, coverage, rejection and settlement decisions are always human.
How is the first pilot approached?
A pilot could summarise authorised, closed escape-of-water claims. For four weeks, handlers would verify chronologies, policy citations and corrections; the system would neither estimate settlement values nor propose accepting or rejecting cover.