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Insurance Technology Engineering

Technology Engineering
for Insurers.

Core platform modernization, compliance automation for Solvency II and IFRS 17, quality engineering for policy and claims systems, and cloud migration for insurance enterprises — delivered with the governance rigor that regulated insurance demands.

Talk to an Insurance Tech Specialist  How We Work
3×
Faster core platform onboarding after legacy system modernization
100%
Automated audit evidence generation — no pre-audit scrambles
6 wks
From zero-commitment diagnostic to prioritized transformation roadmap

Modernize without disrupting what works.

Insurance enterprises carry decades of legacy policy administration systems, claims platforms, and reinsurance integrations that cannot simply be switched off. Modernization must be careful, compliance must be continuous, and quality must be non-negotiable — because errors in insurance systems have regulatory, financial, and customer consequences.

TickingMinds brings together core platform modernization, compliance automation, and quality engineering for insurance enterprises — with deep understanding of the regulatory and actuarial constraints that make insurance technology uniquely complex.

Core Platform Modernization

Policy administration systems, claims management platforms, and reinsurance interfaces built on legacy architectures are both the backbone of insurance operations and the primary constraint on digital transformation. TickingMinds designs systematic modernization roadmaps that decompose legacy monoliths incrementally — shipping value continuously without destabilising production systems that process millions of policies.

Compliance Automation — Solvency II, IFRS 17, FCA

Insurance regulatory obligations under Solvency II, IFRS 17, and FCA supervision create complex, overlapping compliance requirements across actuarial, finance, and technology functions. TickingMinds implements policy-as-code and automated evidence capture that embeds these controls into the delivery pipeline — regulators receive auditable evidence, your teams ship without friction.

Quality Engineering for Insurance Systems

Insurance software quality failures aren't just technical errors — they are regulatory events, customer service failures, and financial liabilities. Our quality engineering practice implements AI-assisted test automation, performance engineering, and chaos testing calibrated for insurance system complexity and regulatory sensitivity.

Cloud Migration for Insurers

Cloud migration for insurance workloads requires navigating data sovereignty requirements, actuarial data sensitivity, and business continuity obligations that exceed standard enterprise cloud migration complexity. We design and execute AWS, Azure, and GCP migrations for insurance enterprises that maintain regulatory compliance and operational continuity throughout.

Services We Bring
  • Core platform modernization (policy admin, claims)
  • Compliance automation — Solvency II, IFRS 17, FCA
  • Quality engineering for policy & claims systems
  • Cloud migration (AWS, Azure, GCP) for insurers
  • AI governance for InsurTech applications
  • API-first integration for insurance ecosystems
  • DevSecOps for regulated insurance delivery
  • Reinsurance data platform engineering
Regulatory Expertise

→ Solvency II — capital requirements & risk reporting

→ IFRS 17 — insurance contract accounting

→ FCA supervision & conduct obligations

→ GDPR — policyholder data governance

→ Lloyd’s market technology standards

Zero-Commitment Start

Every engagement begins with a 2–4 week rapid diagnostic. We assess your insurance technology landscape, map regulatory obligations, and deliver a prioritized roadmap — at no risk.

Our Approach

Why insurance technology demands
a different approach.

Software Engineering & DevSecOps

Application modernization for policy administration and claims systems — API-first architecture, domain-driven design, and DevSecOps pipelines with compliance built in from sprint one.
Compliance Automation

Policy-as-code and automated evidence capture for Solvency II, IFRS 17, and FCA obligations — embedded into delivery pipelines, not added before audits.
Quality Engineering

AI-assisted test automation and chaos engineering for insurance systems where quality failures carry regulatory, financial, and customer consequences.
Common Questions

Questions we
hear most often.

What are the specific technology engineering challenges in insurance?
Insurance technology engineering is shaped by three forces: legacy policy administration systems (Guidewire, Duck Creek, bespoke mainframe) that are expensive and risky to modernise, regulatory obligations (IRDAI guidelines, Solvency II, Lloyd's market requirements) that create compliance overhead on every system change, and the rapid shift in customer expectations towards digital-first claims and policy experiences. Most insurance technology projects fail not because of the technology but because modernisation programmes underestimate integration complexity and compliance constraints. TickingMinds specialises in safe, incremental modernisation that maintains regulatory posture throughout.
How do you modernise a legacy policy administration system without disrupting live business?
TickingMinds uses a strangler-fig migration approach for policy administration modernisation: new capabilities are built on the modern platform while the legacy system continues processing existing policies, integrations are migrated incrementally via API gateway, and each migration wave is validated through parallel-run reconciliation before cutover. This approach means there is no big-bang migration risk — the legacy system is decommissioned gradually as policies naturally renew or migrate, with automated reconciliation ensuring data integrity throughout.
What is the role of quality engineering in insurance claims processing?
Claims processing is the highest-stakes operation in an insurer's technology estate — errors directly impact policyholders and regulatory compliance. Quality engineering in claims systems covers end-to-end functional testing of claims rules and calculations, performance testing for peak claim volumes (post-catastrophe events), data quality validation for claims data pipelines, regression assurance for every policy administration system update, and API testing for third-party integrations (assessors, repairers, medical providers). TickingMinds embeds QE into claims delivery as a continuous practice — not a test phase at the end.
How does TickingMinds help insurers with IRDAI technology compliance?
IRDAI's guidelines on cloud adoption, cybersecurity, and digital services create specific obligations for insurers' technology programmes. TickingMinds helps by mapping IRDAI requirements to engineering controls (data localisation, encryption standards, audit trail requirements), implementing policy-as-code guardrails that enforce compliance automatically in CI/CD, and generating continuous audit evidence that demonstrates compliance at any point — not just during regulatory review cycles.
What does a digital insurance transformation programme typically involve?
A full digital insurance transformation typically covers four domains: customer-facing digital channels (online purchase, self-service, digital claims FNOL), core system modernisation (policy administration, billing, claims), data and analytics capability (real-time underwriting data, claims fraud detection, customer lifetime value modelling), and distribution technology (broker portals, bancassurance integration, embedded insurance APIs). TickingMinds approaches transformation incrementally — starting with the domain where business value and delivery risk are best balanced — rather than a simultaneous multi-system programme that risks everything at once.

Safe modernization, continuous delivery.

Start with a zero-commitment diagnostic — we assess your core platform maturity, regulatory obligations, and delivery gaps at no risk.

Talk to an Insurance Tech Specialist