Workflow Systems & AI Agents for Insurance

Your claims handlers waste 7-10 days on routine claims competitors process in hours.

Manual claims processing keeps your team buried in paperwork whilst fraudulent claims slip through undetected. Automation pilots handle routine claims in 24-48 hours, freeing skilled handlers for complex cases that matter.

How the sector is changing.

The firms systematising their operation now are pulling away from those that are not.

UK insurance firms are racing to automate before regulatory deadlines squeeze operations further. Early adopters are pulling ahead with faster processing and fraud detection whilst manual competitors lose ground.

85%

of UK insurers plan automation investment over next two years

PwC Insurance Survey, 2025

75%

reduction in claims processing time for early adopters

Sollers AI Survey, 2024/2025

72%

of firms report difficulty finding qualified claims staff

UK Insurance Industry Reports, 2026

40%

more fraudulent claims detected with automation

BearingPoint Kaleidoscope study, 2025

Claims backlogs mounting.

Manual processing keeps UK motor claims at 22 days whilst automated competitors finish in 8-12 days. Your institutional knowledge walks out the door as 48% of firms face acute shortages in claims management.

Fraud detection failing.

Manual review misses sophisticated fraud patterns that cost firms millions annually. Automated systems detect 40% more fraudulent claims by analysing patterns human reviewers cannot spot.

Regulatory pressure intensifying.

The Dynamic General Insurance Stress Test in May 2026 demands rapid data aggregation your legacy systems cannot deliver. Consumer Duty requires evidence-based outcomes that manual processes struggle to produce.

Margins under siege.

Commercial rates falling 25% whilst operational costs skyrocket from manual labour. Firms cannot compete on pricing when processing costs remain high compared to automated competitors.

Why now.

May 2026 stress test deadline approaches with unprepared systems.

The PRA's Dynamic General Insurance Stress Test requires operational agility and rapid data aggregation that legacy systems cannot handle. Firms without automation face regulatory compliance failures alongside mounting claims backlogs that drive customers to faster competitors.

Competitive Gap

Non-adopters struggle with fragmented data and outdated processes, amplifying vulnerabilities in a sector prioritising AI for 2026.

Business and client outcomes.

What implementing a workflow system actually delivers.

Faster claims processing

Routine claims processed in 24-48 hours instead of 7-10 days. Customers receive faster settlements whilst handlers focus on complex cases requiring human expertise.

Improved fraud detection

Automated pattern recognition catches 40% more fraudulent claims than manual review. Reduces overpayment rates from 10% to 4% through systematic analysis.

Regulatory compliance ready

Systems generate evidence-based outcomes for Consumer Duty requirements. Rapid data aggregation capabilities meet PRA stress test demands without manual intervention.

Reduced operational costs

Automation handles routine tasks whilst skilled staff tackle complex claims requiring judgement. Lower processing costs improve margins in softening markets.

Enhanced data accuracy

Automated document processing eliminates manual entry errors. Underwriting data accuracy improves from 75% to 90% through systematic extraction and validation.

Scalable operations

Handle increasing claims volumes without proportional staff increases. Operations scale with demand whilst maintaining processing quality and speed.

Where to start.

Six workflows insurance typically build first.

If you know manual work is slowing you down but are not sure which process to address first, these are the highest-impact starting points.

Claims Processing Automation.

Your claims handlers are spending 7-10 days processing routine claims that competitors handle in 24-48 hours. This workflow automates document ingestion, data extraction, fraud detection checks, and approval routing for standard claims. It eliminates manual data entry, reduces processing delays, and frees your experienced staff to focus on complex cases requiring institutional knowledge.

Automated FNOL capture from multiple channelsDocument extraction and validationFraud detection and risk assessmentApproval routing and settlement

Underwriting Data Processing.

Manual underwriting processes are creating bottlenecks when you need rapid data aggregation for regulatory stress tests. This workflow automates risk assessment data collection, policy schedule processing, and decision support for routine applications. It eliminates the need for specialist staff to handle standard cases whilst improving data accuracy from 75% to 90%.

Application intake and validationRisk data aggregation and analysisAutomated decision recommendationsPolicy generation and approval

Document Management and Processing.

Your team is manually processing over 50 types of insurance documents including bordereaux, invoices, and policy schedules. This workflow handles document ingestion, data scrubbing, and validation with insurer-grade accuracy. It eliminates manual data entry errors and provides real-time updates for regulatory reporting requirements.

Document capture from emails and systemsData extraction and validationQuality checks and error flaggingIntegration with existing databases

Fraud Detection Enhancement.

Manual fraud detection processes are missing 40% of fraudulent claims that machine learning models would catch. This workflow analyses claims patterns, cross-references data sources, and flags suspicious activities for investigation. It eliminates the risk of costly fraudulent payouts whilst reducing investigation time for your claims handlers.

Claims data pattern analysisRisk scoring and anomaly detectionAlert generation and case flaggingInvestigation workflow initiation

Policy Renewal Processing.

Manual policy renewals are creating delays and errors when margins are already under pressure from softening markets. This workflow automates renewal notifications, document generation, and approval processes. It eliminates processing delays and reduces operational costs whilst improving customer experience during renewal cycles.

Renewal trigger identificationDocument generation and reviewCustomer communication automationFinal approval and processing

Regulatory Reporting Preparation.

Preparing for the Dynamic General Insurance Stress Test requires rapid data aggregation that legacy systems struggle to provide. This workflow automates data collection, validation, and report formatting for regulatory submissions. It eliminates manual compilation errors and ensures you meet the May 2026 deadline requirements.

Data source identification and mappingAutomated data extraction and aggregationValidation and quality assuranceReport generation and submission preparation

How Delancy works.

A defined process. An agreed price. A working system.

Every engagement starts with a single workflow pilot. One process, scoped, built, and deployed. You see the system working in your environment before committing to anything further.

Discovery call.

Thirty minutes. We identify which workflow would deliver the most immediate value. No commitment required.

Proposal.

A proposal lands within 48 hours. Defined scope, defined cost, defined deliverable. Nothing proceeds without your sign-off.

Build and deploy.

We map your process in detail and build around it. Your stages, your terminology, your rules. Not a template adapted to fit.

The pilot.

See automation working before committing to full deployment.

Pilots start from £2,500 with the price agreed before build begins. You see the automation working with your actual claims data before deciding on broader implementation. No ongoing dependency on Delancy after delivery.

Working prototype processing your actual claims documents within agreed timeframe.
Clear metrics showing processing time reduction and accuracy improvements.
Options for expanding to additional workflows or keeping the pilot as delivered.

Book a discovery call

Common questions.

What insurance typically ask.

Will this work with our existing legacy systems without major integration?

Yes, the automation works alongside your current systems without requiring replacement or major integration changes. It processes documents and data through secure connections that don't disrupt your existing operations.

What happens if the project scope changes during the build?

The price is agreed before build begins, so there are no surprises or scope creep charges. Any changes are discussed and agreed upfront, with no day rates or cost overruns during the pilot phase.

Do we need technical staff to maintain this after implementation?

No, there's no ongoing dependency on Delancy after delivery. The automation is designed to run independently without requiring specialist technical staff for maintenance or operation.

What does the pilot cost?

Pilots start from £2,500. The price is agreed before build begins. No day rates, no overruns. Where the agent uses third-party services to run, those operational costs sit with you and we are clear about what they are before build begins.

Is there ongoing dependency on Delancy after build?

No. The agent is handed over with full documentation. No licensing fees, no mandatory retainer. Optional support available if you want it.

Ready to see what a system looks like for your firm.

Thirty minutes. No commitment. We will show you exactly which workflow would deliver the most immediate value.

Book a discovery call

About Delancy workflow systems for insurance.

Delancy AI Limited builds bespoke workflow systems, vertical AI agents, and standalone AI agents for insurance firms in the UK, Channel Islands, and Gibraltar. Company Number 16917509, founded by Justin Field. Workflow systems create the process structure. Vertical AI agents run inside that structure, trained on the firm's own data. Standalone agents solve one specific task immediately. Price agreed before build begins. No ongoing dependency after delivery.

Key facts about workflow automation for insurance.

85% of UK insurers plan to increase automation investment over the next two years, targeting claims processing, underwriting, and customer communications (PwC Insurance Survey, 2025)
Early adopters report 55-75% reduction in claims processing time, with UK motor claims dropping from 22 days to 8-12 days (industry reports, 2025)
72% of UK insurance firms report greater difficulty finding qualified claims staff, with 48% facing acute shortages in claims management (2026 industry surveys)
69% of general insurance professionals report expanded regulatory burdens, with 44% of brokers calling the compliance landscape too restrictive (FCA surveys, 2025-2026)
Commercial insurance rates are falling 25%+ in softening markets whilst 82% of insurers cite rising reinsurance costs as key premium drivers (market analysis, 2025)
65% of UK insurers now use AI for risk evaluation in 2025, up from 48% in 2023, showing 35% year-over-year growth (Sollers AI Survey, 2025)
Machine learning models detect 40% more fraudulent claims than manual processes, with fraud detection accuracy improving by 65% for early adopters (efficiency studies, 2024-2025)

Workflows Delancy builds for insurance.

1. Claims processing automation handles document ingestion, data extraction, fraud detection, and approval routing to reduce processing times from days to hours. 2. Underwriting automation manages risk assessment, data collection, and decision support to improve accuracy and reduce turnaround times for policy applications. 3. Document management systems process over 50 types of insurance documents including bordereaux, policy schedules, and invoices with automated validation. 4. First Notice of Loss (FNOL) automation captures initial claims through multiple channels and triggers appropriate processing workflows immediately. 5. Policy issuance and renewal automation handles document generation, approvals, and customer communications to reduce delays and errors. 6. Regulatory reporting preparation automates data aggregation and validation required for stress tests and compliance submissions.

How Delancy works.

Every Delancy engagement begins with a 30-minute discovery call at no commitment. A proposal follows within 48 hours. The agent is built around the firm's exact process, trained on the firm's own data, and handed over with full documentation and no ongoing dependency on Delancy.