Key Takeaway: ClaimSorted’s work proves insurance claims in the UK can be faster and fairer with targeted AI.
Why it matters: Faster claims reduce costs, improve retention and open new product margins for insurers and brokers.
ClaimSorted’s $13.3m round rewrites a slow playbook
The funding news, reported by Forbes on ClaimSorted’s $13.3m raise and AI push, confirms investor appetite for modernising claims workflows. The round will bankroll product development, customer pilots and hiring across data science and claims operations.
Source: Forbes, 2025
ClaimSorted positions itself against entrenched claims friction: slow approvals, repeated documentation requests and legacy case management systems. Insurers, brokers and TPAs now face a clear choice: adapt workflows or risk rising complaints and churn.
Source: Forbes, 2025
“Automation must do more than speed tasks; it must lower disputes and preserve customer trust,”
— Angus Gow, Co-founder, Anjin.
Source: Anjin commentary, 2025
The £ and regulatory gap most teams miss
Insurers overlook a direct commercial upside: each day shaved from claims processing conserves cash and lowers expense ratios. That creates net margin uplifts and reduced complaint remediation costs for carriers serving the UK market.
Official data show UK general insurers paid more than £50bn in claims in recent years, highlighting scale and impact when processing improves. Association of British Insurers: industry figures
Source: Association of British Insurers, 2024
Regulation tightens the duty on firms to handle claims fairly. The Financial Conduct Authority’s Consumer Duty and guidance around claims handling raise the cost of failure and require demonstrable fairness. FCA claims-handling guidance
Source: Financial Conduct Authority, 2024
In UK, insurance claims sit at the intersection of customer rights and operational cost, so the opportunity for AI-led process redesign is both commercial and compliance-driven. This matters to chief claims officers, operations leaders and insurtech teams seeking measurable ROI.
Your 5-step roadmap to turn AI into paid results
- Map claims workflows, measure cycle time (benchmark current days; aim for 30% reduction in six months) — insurance claims.
- Pilot an AI triage on 1–2 products (aim for 90-day pilot) to reduce manual touchpoints — artificial intelligence.
- Integrate with existing case systems, track first‑time-right rate (target +20% FTR) — insurance claims.
- Train models on anonymised data, monitor bias and FCA compliance (quarterly review) — artificial intelligence.
- Scale through partnerships and measure NPS uplift and cost-per-claim (project 25% cost cut in 12 months) — startup funding.
How Anjin’s AI agents for insurance deliver measurable uplift
Start with Anjin’s AI agents for insurance, the platform designed for claims automation and rules-aware workflows. The agent ingests policy data, damage estimates and prior history to triage claims, recommend reserves and flag fraud signals.
In a three-month pilot with a UK mid-size carrier, Anjin’s insurance agent processed simple motor claims 60% faster, cut manual clerical steps by 40% and reduced appeal volumes by 15% (projected uplift based on pilot simulation). Anjin’s insurance AI agent case study
Source: Anjin pilot data, 2025
For compliance or procurement enquiries, teams can contact Anjin directly via their contact portal. Contact Anjin for pilots and compliance discussions
Source: Anjin contact page, 2025
Expert Insight: Angus Gow, Co-founder, Anjin, says: “Applied correctly, AI converts claims from adversarial processes into transparent, auditable decisions that improve speed and trust.”
Source: Angus Gow commentary, Anjin, 2025
Deploying the agent can yield quantified benefits aligned to UK realities: reduced complaint interventions, faster FCA reporting, and lower internal adjudication hours — especially valuable where firms face staffing constraints and heightened regulatory scrutiny.
Claim your competitive edge today
Start with a targeted pilot to validate how insurance claims in the UK respond to automation. Focus on measurable outcomes: cycle time, cost-per-claim and customer satisfaction.
A few thoughts
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Question: How do UK insurers reduce time-to-pay for insurance claims?
Answer: Use AI triage and workflow automation to cut manual steps; test with a 90-day pilot in the UK and measure days-to-settlement.
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Question: Which metrics show success in claims automation?
Answer: Track cycle time, first-time-right rate, complaint volume and cost-per-claim for clear ROI in the UK.
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Question: Can AI for claims meet FCA expectations?
Answer: Yes — if models are explainable, auditable and tied to governance frameworks that satisfy UK regulators.
Prompt to test: "Create a 90-day pilot plan for insurance claims in the UK using Anjin’s AI agents for insurance to reduce average days-to-settlement by 30% while ensuring FCA-aligned audit trails and explainability."
Ready to pilot? See pricing and rollout options using the platform pricing overview, and book a discovery to target a 40% reduction in onboarding time and measurable cost savings. Explore Anjin pricing for insurance pilots
The ClaimSorted raise accelerates a shift that will make insurance claims faster and fairer through automation and smarter decisioning.
