Production Case Study · Finance🔒 NDA Protected

AI Insurance Claims Processing Platform

A UK specialty insurance carrier managing 12,000 active policies was averaging 14 days from application to decision while competitors operated at 4 days. Mirlo Systems deployed a compliant-aware AI operations platform that cut the decision cycle to 4.1 days and reduced CS call volume by 71%.

4.1 daysApplication Decision Cycle
71%CS Call Volume Reduction
4 hoursCompliance Audit Pack Assembly
AI Insurance Claims Automation — Decision Cycle Cut From 14 Days to 4.1 Days — Mirlo Systems
TL;DR

Executive Summary

A UK specialty insurance carrier managing 12,000 active policies was averaging 14 days from application to decision while competitors operated at 4 days. Mirlo Systems deployed a compliant-aware AI operations platform that cut the decision cycle to 4.1 days and reduced CS call volume by 71%. Built in 12 weeks with zero-downtime cutover and AES-256 encrypted pipelines.

01 · Business & Technical Challenge

The Challenge

Operational Friction

Application decision cycle averaged 14 days due to incomplete application packets (94% arrived missing documents). Competitors operated at 3-5 days, creating adverse selection. CS team applied 40% of capacity to status calls (£399K annual labor cost). Compliance audit pack assembly took 10-14 days.

Business Risks at Stake

  • Risk of adverse selection as faster competitors capture best risks from brokers
  • Risk of regulatory audit findings from manually assembled compliance documentation
  • Risk of applying generic AI in regulated context generating advice that creates FCA exposure
02 · Solution Architecture & Technical Execution

The Solution

Application Completion Pipeline sent automated document follow-up within 4 hours, cutting submission-to-complete time from 9.3 to 2.1 days and decision cycle from 14 to 4.1 days. FCA-compliant AI Claims Status Agent resolved 71% of CS calls. Compliance Audit Assembly Pipeline generated packs in 4 hours.

Technology Stack

Guidewire PolicyCenterGuidewire ClaimCenterAnthropic ClaudeTwilion8n Workflow AutomationSupabase

Engineering Capabilities Delivered

  • Application completion pipeline identifying missing documents and sending follow-up within 4 hours
  • AI claims and policy status agent grounded on live Guidewire data with FCA-compliant guardrails
  • Underwriting data extraction pre-populating Guidewire fields from submitted documents
  • Compliance documentation assembly pipeline generating audit-ready packs within 4 hours
  • Full audit log of all AI agent interactions maintained for FCA supervision review

Execution Approach

Compliance-First DiscoveryFCA-Aware Architecture BuildPhased Go-Live with Compliance ReviewSenior Underwriter Exception ReviewDedicated Handoff
03 · Business Value & Tangible Results

Measurable Outcomes

Verified Performance Results

  • Application decision cycle: Reduced from 14 days to 4.1 daysUnderwriting operations report
  • CS inbound call volume: Reduced by 71% within first monthTelephony platform CDR data
  • Submission-to-complete-packet time: Reduced from 9.3 days to 2.1 daysUnderwriting workflow log
  • Compliance documentation assembly: Reduced from 10-14 working days to 4 hoursCompliance process audit
  • CS labour cost applied to answerable queries: £399K annual cost eliminatedHR cost model

Before vs. After

Application decision cycle
Before14 days average
After4.1 days average
-71%
Submission-to-complete-packet time
Before9.3 days average
After2.1 days average
-77%
CS call volume
BeforeBaseline volume
After71% reduction
71% handled by AI
Compliance audit pack assembly
Before10-14 working days
AfterUnder 4 hours
-97%
Annual CS cost on answerable queries
Before£399,000
AfterEliminated
Redirected to complex interactions

Qualitative Gains

  • Zero manual administrative friction in routine processing pipelines.
  • Enhanced staff operational capacity redirected to high-value client interactions.
  • Full compliance and security audit trail maintained across all automated pipelines.

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  • Stage 01

    "We haven't started with AI yet"

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  • Stage 02

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Proof & Validation

Common Questions

Built with explicit non-regulated guardrails covering factual administrative responses only. Regulated queries escalate to CS team.

How does AI status agent avoid providing regulated financial advice?
Built with explicit non-regulated guardrails covering factual administrative responses only. Regulated queries escalate to CS team.
What compliance architecture governs data handling?
AES-256 encryption at rest/transit, zero LLM retention policy, isolated environment, and full audit logging.
How does application completion pipeline handle multiple product lines?
Configured with product-specific document requirement schemas.
How was compliance assembly pipeline validated before live audit?
Tested against 3 historical audit cycles and validated against manually assembled packs.
What was impact on broker relationships following decision cycle improvement?
Submission volume increased within 60 days from top wholesale intermediaries.