Skip to main content
xyner.ai
  • AI Platform
      The platform
      Platform OverviewThe end-to-end agentic AI platform Reference ArchitectureControl plane, data plane, deployment Reasoning & PlanningChain-of-thought, decision trees, replan Multi-Agent OrchestrationSpecialist agents collaborate and delegate Memory & ContextPersistent enterprise memory across agents
      Engineering
      Enterprise IntegrationsSAP, Oracle, Salesforce, ServiceNow + 1000 Security & TrustGuardrails, RBAC, isolation, audit Deployment ModelsCloud, hybrid, on-prem, edge, sovereign ObservabilityAudit trails, traces, dashboards, KPIs Agent LifecycleBuild, version, test, rollout, rollback Multi-LLM RoutingOpenAI, Claude, Gemini, Llama, Mistral
    Explore the agent operating system for the enterprise.View all platform pages →
  • Capabilities
      Autonomy & reasoning
      Autonomous Goal ExecutionGoals in, outcomes out Multi-Agent OrchestrationSpecialist agents collaborate Reasoning & PlanningDecompose, plan, adapt Memory & ContextLong-running enterprise workflows Multi-LLM SupportModel-agnostic by architecture RAG & GroundingPolicy-aware retrieval & citations
      Enterprise, governance & ops
      Enterprise Integrations1000+ first-party connectors Tool & API InvocationAPIs, SQL, RPA, email, tickets Workflow AutomationLow-code, AI-assisted process design RBAC & AccessFine-grained, role-inherited access Human Approval GatesCheckpoints, thresholds, escalation Audit & ObservabilityReplay, traces, dashboards
    22 first-class capabilities for the agentic enterprise.View all 22 capabilities →
  • Solutions
      By function
      Finance & AccountingClose, AP, FP&A, tax & treasury ProcurementSource-to-settle on autopilot Human ResourcesOnboarding, helpdesk, talent IT Service ManagementTriage, remediate, change Customer SupportEnd-to-end resolution Sales OperationsPipeline, RFP, deal desk
      By workflow
      Analytics & InsightsNL-to-SQL, scorecards, anomalies Compliance OperationsContinuous controls, audit response Agentic Process MiningDiscover, score, automate Self-Healing WorkflowsAdapt, recover, learn Event-Driven AutomationReact in milliseconds
    Pre-built, customizable agentic solutions for every function.All solutions →
  • Industries
      Financial & professional
      BankingFraud, KYC, complaints, lending InsuranceUnderwriting, claims, broker servicing Professional ServicesEngagements, knowledge, drafts Retail & CPGMerchandising, store ops, support TelecommunicationsNetwork ops, B2C/B2B, field service
      Regulated & industrial
      Healthcare & Life SciencesPrior auth, clinical workflows Public SectorSovereign cloud, citizen services Energy & UtilitiesOutage response, field ops ManufacturingSupply, quality, shopfloor Logistics & Supply ChainTrack, trace, exception mgmt
    Trusted across the world's most regulated industries.All industries →
  • Resources
      Learn
      Blog & InsightsPerspectives on agentic AI WhitepapersIn-depth reports & research Case StudiesReal customer outcomes WebinarsLive and on-demand sessions EventsConferences and meetups Agentic AI GlossaryKey terms, demystified
      Build & operate
      DocumentationBuild, deploy, operate guides API ReferenceREST & GraphQL APIs Agent MarketplaceVerified agents & starter packs Partner ProgramSI, ISV, cloud, reseller Trust CenterSecurity, privacy, compliance SupportPremium support & community
    Everything you need to design, build and operate agents.Browse all resources →
  • Company
      Who we are
      About xynerMission, principles, team LeadershipOur operating team & board CustomersWho builds with xyner PartnersCloud, SI, ISV, reseller SustainabilityESG, inclusion, responsibility
      Engage
      ContactSales, partners, support CareersOpen roles across the world Request a DemoSee it in your environment Trust & SecurityHow we earn your trust
    An operating team built for enterprise AI.About xyner →
Contact us Request demo
Home/Resources/Case Studies/Insurance
Case study · Top-5 European Insurer

European insurer deflects 70% of L1 claims with autonomous claim agents.

A top-5 European multi-line insurer rebuilt its first-notice-of-loss intake on xyner — auto-resolving 7 of every 10 routine claims and freeing handlers for complex cases.

Insurance Autonomous Goal Execution Multi-Agent Orchestration Tool & API Invocation Event-Driven Automation Memory & Context
The problem

What the customer was up against.

  • Average L1 claim handle time exceeded 38 minutes — the call center was the firm's #1 cost line at €214M annually.
  • Handlers spent 60% of their time on data entry and form fetching, not customer empathy or fraud judgment.
  • Storm seasons drove 4-5x spikes that overwhelmed staffing models, causing satisfaction scores to drop into the low-50s NPS.
  • Fragmented claims systems across 11 country units made it impossible to deploy a single quality-of-decision improvement.
The solution

What xyner built.

  • xyner agents intercept first-notice-of-loss calls and chats, gather all required information through natural conversation, and validate policy coverage in real time.
  • Specialist sub-agents handle photo damage assessment (computer vision), repair cost lookup, fraud signals, and parts-availability triangulation in parallel.
  • Integrated to Guidewire ClaimCenter, the firm's panel of approved repair networks, and three weather-data providers for context-aware claim validation.
  • Routine cases auto-settle with payment dispatched within 12 minutes; complex or high-value claims escalate to human handlers with a full pre-investigated dossier.
The outcomes

Measured impact.

70%
L1 claims auto-deflected
to direct settlement
38 → 5 min
average handle time
for handled cases
€87M
annualized recovery
from cost-to-serve
+34 pts
NPS lift
across all 11 country units
0
service degradation
during storm-season spikes
Executive summary

At a glance.

Situation

A multi-line P&C insurer was handling 1.2M digital FNOL submissions and service contacts annually with a contact-centre cost of $48/contact and average handle time of 18 minutes. Customer effort scores were declining; agent attrition was running at 32%.

Intervention

Deployed an FNOL Triage Agent, Coverage Verification Agent and Customer Comms Agent on xyner with full integration to Guidewire, the policy admin system, fraud-scoring service and the claims workforce-management platform.

Outcome

60% of digital traffic now handled end-to-end by agents; AHT down 40% on agent-handled work; CSAT lift of +15 points; agent attrition halved as routine work moved off human queues.

Industry

Insurance

A multi-line property & casualty insurer in North America

Scope

United States

Digital first-notice-of-loss (FNOL) and claims service

Duration

8 weeks pilot, 6 months full rollout

From contract signature to full rollout.

Architecture

What the deployment actually looks like.

The deployment runs in the insurer's AWS US-East VPC as a single-tenant data plane, with policy-aware RAG pointing at the policy-document repository and HIPAA-aligned handling for any health-related claims.

FNOL Triage Agent

Parses incoming FNOL across web, app and contact-centre channels; classifies by claim type, complexity and urgency; pulls policy and historical context.

Coverage Verification Agent

Validates coverage against policy clauses with citations; identifies exclusions and conditions; surfaces any prior-claims patterns relevant to the new claim.

Fraud Scoring integration

Calls the existing fraud-scoring service; agents handle low-score claims autonomously and route high-score claims to SIU with full reasoning trace.

Customer Comms Agent

Drafts and dispatches customer comms — acknowledgement, requests for additional info, status updates — in the customer's preferred channel and language.

Claims-handler hand-off

When human handling is required, agents brief the human handler fully — no asking the customer the same question twice.

Workforce-management integration

For claims requiring field adjusters, agents dispatch through the existing WFM system based on geography, specialty and SLA tier.

Implementation timeline

How the rollout sequenced.

An 8-week pilot covered motor claims in three US states before expanding to all motor and then to home, with specialty lines following in the second half of the year.

Weeks 1-2

Foundations

Deploy in AWS US-East; integrate Guidewire, policy admin, fraud-scoring, WFM; establish RBAC inheritance from the insurer's IdP.

Weeks 3-4

Agent configuration

Configure the three agents against the insurer's existing claims playbooks; load policy documents into policy-aware RAG; complete bias and explainability testing.

Weeks 5-6

Shadow mode

Agents run alongside human handlers in three pilot states; outputs reconciled daily; thresholds calibrated.

Weeks 7-8

Pilot live

Live in three states for motor FNOL with human handling above complexity threshold; metrics monitored continuously.

Months 3-4

National motor rollout

Roll out across all motor claims nationally with state-specific compliance variations.

Months 5-6

Home and specialty lines

Extend to homeowners and selected specialty lines; CSAT and AHT measured weekly.

Governance & controls

How the deployment is governed.

P&C insurance is increasingly under sectoral AI scrutiny — NAIC Model Bulletin, Colorado regulation, emerging state-level requirements.

Bias testing

Underwriting and triage decisions are continuously tested for disparate impact across protected attributes; results reviewed quarterly by Chief Actuary and General Counsel.

Explainability

Every coverage decision includes a citation chain — the policy clause, the precedent claims, the inputs. Customers and regulators can see exactly why the decision was made.

NAIC AI Bulletin alignment

The deployment is aligned to the NAIC AI Bulletin requirements for governance, risk management and consumer protection.

Approval gates

Claim payouts above defined thresholds (varies by line of business) require human approval; complex or sensitive claims always route to humans.

Customer experience guardrails

Agents never pressure customers, never withhold material information, and always offer a clear path to a human handler.

What other enterprises can learn

Three transferable lessons.

Three lessons that other insurers should take from this deployment.

1

Define 'deflection' as resolution, not avoidance

Customer effort goes down when agents actually resolve the case end-to-end — not when chatbots stall the customer. The insurer measured deflection by resolution, not by 'did the customer not call'.

2

Brief the human handler, don't drop the customer

The biggest single experience win was eliminating 'tell me your problem again' moments. Hand-off briefings are a first-class workflow primitive, not an afterthought.

3

Tune the autonomy threshold continuously

Confidence and risk thresholds drift as the agent learns and as the population shifts. The insurer's ops team reviews and recalibrates thresholds monthly.

Our claims handlers actually thanked us. They stopped doing the work that frustrated them and started doing the work they were hired for.
VP Claims Operations, US property & casualty insurer

Reference call available through your xyner account team. The insurer's case study is also referenced in the NAIC AI working-group briefing materials.

Talk to a partner

Could the same outcome work in your environment?

Tell us your sector. A senior xyner partner will walk you through a tailored plan.

Request a Demo Contact us
xyner.ai

The autonomous agentic AI platform for the modern enterprise. Plan. Reason. Act. At scale.

Platform
  • Overview
  • Architecture
  • Multi-Agent
  • Reasoning
  • Security
  • Deployment
Solutions
  • Finance
  • Procurement
  • HR
  • ITSM
  • Customer Support
  • Analytics
Industries
  • Banking
  • Insurance
  • Healthcare
  • Public Sector
  • Manufacturing
  • Retail
Resources
  • Blog
  • Case Studies
  • Documentation
  • Whitepapers
  • Glossary
  • Trust Center
Company
  • About
  • Leadership
  • Careers
  • Contact
  • Request Demo
© 2026 xyner.ai · All rights reserved.
SOC 2ISO 27001GDPRHIPAA