Case Studies

Outcomes, not adjectives. Six carrier stories.

Every engagement below is a real FPT insurance program. Client names are anonymized to respect NDAs; the metrics, stacks, and durations are not. Ask for a referenceable introduction under mutual NDA on any of them.

50+
Insurance programs delivered
$400M+
Client-attributable outcome value
12
Regulators engaged (NAIC, EIOPA, MAS, PRA…)
94%
Programs referenceable under NDA
AI & GenAI01
Client
Top-10 Global Reinsurer
London Market · Zurich
Vertical
Reinsurance
Duration
18 months, pilot to production
Stack
FPT Document AIAzure OpenAISnowflakeGuidewire CyenceDatabricks

Submission triage collapsed from four days to forty minutes

Underwriting throughput
4d → 40m
Triage cycle time
92%
Data extraction accuracy
60 FTE
Offshore triage pod capacity
18 mo.
From pilot to production
Challenge

The reinsurer's treaty underwriters were drowning in unstructured broker submissions — slip PDFs, bordereaux spreadsheets, cat model outputs, and prior loss runs — averaging four days per submission before an underwriter could price. Renewals compressed the queue every October and April, and hiring more underwriters was neither fast nor economic.

Approach
  • Document AI pipeline: layout-aware extraction across slips, bordereaux, and loss runs with confidence scoring
  • Treaty Analyzer copilot that pre-fills the pricing worksheet and flags data gaps for the underwriter
  • 60-person offshore triage pod trained on the carrier's product hierarchy, resolving exceptions the model couldn't
  • Human-in-the-loop review with full audit trail for Lloyd's and Solvency II model risk requirements
Outcome

The reinsurer now clears the same volume with the original underwriting bench — underwriters spend their day pricing risk, not chasing missing schedules. The pod scales up 3× during renewal peaks and back down in weeks four to six of the cycle.

"It's the first time our renewal season didn't require a hiring plan."

Chief Underwriter, Treaty
Claims02
Client
US Specialty Auto Carrier
Dallas · Manila
Vertical
P&C — Personal Lines
Duration
9 months to first STP claim, 14 months to full rollout
Stack
FPT VisionGuidewire ClaimCenterAWS BedrockSnowflake

FNOL Autopilot deflected 58% of first notices from the adjuster queue

58%
Straight-through FNOL
$14M
Annual run-rate savings
12 min
Median FNOL-to-triage
24/7
Human review coverage
0
NAIC complaints attributable to model
Challenge

The carrier's contact center absorbed 2,400 daily first notices of loss. Simple glass-only and minor collision claims consumed 40% of adjuster time, degrading NPS on the complex bodily-injury claims where empathy actually mattered.

Approach
  • Computer-vision damage classification at the mobile intake step
  • Rule + LLM triage: obvious claims routed to STP settlement, ambiguous ones queued to a specialist
  • Vietnam and Manila 24/7 review pod for the ambiguous middle band
  • Model governance framework aligned to the NAIC Model Bulletin and state DOI expectations
Outcome

58% of FNOLs now close without an adjuster touch. Complex claim NPS climbed 22 points because senior adjusters got their time back. The model card and human-review evidence pack passed a multi-state DOI review with no adverse findings.

"Our adjusters stopped writing estimates for cracked windshields and started actually adjusting claims again."

VP, Claims Operations
Core Modernization03
Client
APAC Life & Health Composite
Singapore · Kuala Lumpur · Hanoi
Vertical
Life & Health
Duration
24 months from kickoff to mainframe shutdown
Stack
Guidewire CloudAWS Landing ZoneKafkaFPT Data Reconciliation Platform

Retired a 27-year-old mainframe with zero customer-visible downtime

24 mo.
Big-bang replaced with staged cutover
0
Minutes of customer downtime
42%
Reduction in unit policy cost
3.1M
Policies migrated
11
Regulator jurisdictions
Challenge

The composite carrier ran life admin on a COBOL mainframe patched across three decades of product launches. Every new rider needed six months of change requests, and the vendor had announced end-of-support. The board rejected the original 5-year big-bang replatform.

Approach
  • Strangler-fig migration onto Guidewire InsuranceSuite Cloud, product family by product family
  • Book-of-business data reconciliation platform with per-policy attestation for MAS, IRDAI and HKIA
  • Parallel-run harness comparing legacy and target outputs down to the cent for six months
  • 180-engineer joint pod (FPT + carrier) with shared standups, shared SLAs, shared on-call
Outcome

The mainframe was decommissioned on schedule. New rider launches now take six weeks instead of six months. The unit economics of servicing an in-force policy dropped 42% — the business case paid back inside 30 months of go-live.

"The regulators were the toughest audience. FPT's evidence pack answered every question the first time."

Group Chief Actuary
Data & AI04
Client
European Motor MGA
Munich · Warsaw
Vertical
P&C — Motor
Duration
5 months to first recovery, 11 months to full rollout
Stack
FPT.AIAzure OpenAI (EU)Duck Creek ClaimsPostgreSQL

Subrogation recovery lifted 34% by mining closed claims files

€22M
Recoveries reopened in year one
+34%
Subrogation success rate
180k
Closed claims re-scored
9:1
ROI on the AI investment
GDPR
DPIA passed, EU-resident data
Challenge

The MGA suspected recoverable third-party liability was slipping through into closed files — but their subrogation team could only review the top 5% of claims by reserve. Everything below the threshold got closed and forgotten.

Approach
  • LLM extraction over five years of adjuster notes, police reports, and photographs
  • Liability-signal scorer prioritizing files with third-party contact, statutory duty breach, or documented fault
  • Human specialist queue for the highest-signal files, integrated to the existing recovery workflow
  • EU data residency with Frankfurt hosting and a completed GDPR DPIA for reopening closed files
Outcome

The MGA reopened 180,000 claims and recovered €22M in year one against a project cost under €2.5M. The model now runs continuously — every newly closed file gets a subrogation score before it goes to archive.

AI & GenAI05
Client
Bermuda Cyber Specialty Carrier
Hamilton · New York · Ho Chi Minh City
Vertical
Specialty — Cyber
Duration
6 months to pilot, 12 months to preferred-market status
Stack
FPT Submission CopilotAnthropic ClaudeBitSight / SecurityScorecard APIsSnowflake

Underwriters priced 3× more cyber submissions per week

3.2×
Submissions priced per underwriter
87%
Auto-populated application fields
45%
Combined ratio improvement on new business
31
External data sources integrated
SR 11-7
Model risk framework aligned
Challenge

Cyber submissions arrived as 90-page questionnaires plus attestations, SOC 2 reports, and external scan attestations. Underwriters spent 70% of their time transcribing data before they could apply the pricing model. Response times pushed brokers to competitors.

Approach
  • Submission Copilot pulling questionnaire, external scans, dark-web signals, and SEC filings into one underwriting workspace
  • Cyber-specific extractor tuned on MFA, backup, EDR, and IR posture questions
  • Underwriter-in-the-loop pricing — the copilot proposes, the underwriter binds
  • SR 11-7 aligned model governance with quarterly evaluation reports for the Bermuda regulator
Outcome

Underwriters price submissions in under two hours instead of a full day. New-business combined ratio improved 45% as pricing consistency tightened, and the carrier is now the preferred market for two of the top-five cyber brokers.

"Our underwriters stopped being data-entry clerks and started being underwriters again."

Head of Cyber Underwriting
Distribution06
Client
Global Mobility Platform
Tokyo · Singapore · São Paulo
Vertical
Distribution — Embedded
Duration
One quarter for the first 14 markets
Stack
FPT Composable Product PlatformKubernetes (regional)KafkaPostgresDatadog

Embedded trip protection shipped into 14 markets in one quarter

14 markets
Live in a single quarter
8.4%
Attach rate at checkout
$180M
Annualized GWP at month 12
<400ms
P95 quote latency
3 wks
Time to add a new country
Challenge

The mobility platform wanted to embed trip protection into every ride and rental checkout across LATAM, APAC, and EMEA. Every country had a different carrier partner, product form, and regulator. A bespoke integration per market would have taken years.

Approach
  • Composable product factory: one API contract, country-specific product bundles configured, not coded
  • Quote/bind/issue services deployed on regional Kubernetes clusters for data residency
  • Partner onboarding kit that let a new country carrier go live in three weeks end-to-end
  • Real-time telemetry and A/B framework tied to the checkout funnel
Outcome

14 markets went live in Q3 with a 15th added post-launch. Attach rate stabilized at 8.4% — twice the platform's internal benchmark — and the product now contributes a material line to platform revenue with a fraction of the engineering headcount that similar programs required.

"The platform stopped being the bottleneck. Now the only constraint is finding carrier partners fast enough."

Head of Insurance Products

Want a referenceable intro under NDA?

Tell us which story looks closest to your program. We'll set up a call with the practice head and, where the client agrees, a direct reference.