Motor Insurers
Lower claim cost through operational behaviour


Rate pressure rarely delivers sustainable savings. Process behaviour does.
We analyse how the repair ecosystem actually functions — reducing hire duration, friction and severity volatility without damaging customer experience or supplier stability.
Support includes - Network performance review and coaching - Cycle time programmes - Repair vs total loss accuracy - Capacity resilience planning - EV severity preparedness - Supplier alignment frameworks – Organic Vertical Integration – Subrogation optimisation
Outcome: predictable indemnity and stable networks.
Global Insurer Services
Tailored insights and strategies to reduce claims costs and improve repair outcomes.
Network Control & Indemnity Cost Reduction
OEM Parts Centralisation Strategy
National / Pan-European OEM frameworks
Cost-plus billing controls
Parts transparency & audit protocol design
Guaranteed T+1 logistics modelling
Hybrid Fixed-Price (ARC) Modelling
Average Repair Cost architecture
Dynamic K2K-linked performance thresholds
Inflation-indexed cost controls
Actuarial reserving stabilisation
Core Strategic Advisory Services
Private Equity Risk Analysis & Mitigation
Assessment of PE-backed repair group dominance risk
Geographic capacity vulnerability mapping
Supply-chain leverage analysis
Exit-cycle and financial fragility assessment
Strategic Blueprint Development
Transition from “Price Taker” to “Market Maker”
Long-term supply chain resilience planning
Net Combined Ratio improvement strategies
Continuous Workflow Mentoring (TOC-Based)
Bodyshop Revolution.ai implementation
Constraint identification & synchronised production
Buffer management & “Murphy” neutralisation
Throughput accounting integration
Key-to-Key Compression Programmes
Reduction from 10–14 days to 3–4 days
Credit hire leakage reduction
WIP stabilisation
Predictable output modelling
High-Volume Site Pilot (“Sprint”) Programmes
12-week performance transformation pilots
Targeted high-friction repairer intervention
Network Operational Excellence & Performance Acceleration
Vertical Integration & Capacity Ownership
Strategic M&A Advisory
Acquisition target identification
Internal capacity modelling
Post-acquisition TOC re-engineering
Cultural & operational change management
Organic Infrastructure Development
Hub & Spoke model design (Hub & Node architecture)
Fast-track and Technical Excellence centre development
Greenfield site design for EV / ADAS / Composites readiness
Capital deployment modelling
Why Leading Insurers Engage with PCI
Tailored insights driving smarter collision solutions.
NCR protection: We help insurers navigate the increasing geographical challenge of private equity-based MSOs and their negative influence on combined ratio performance.
Repair Network Support: Our experience in delivering high performance to insurers enables us to support their existing repair network deliver extraordinary results.
Drastic Cycle Time Reduction: We consistently cut Key-to-Key times by over 50%, moving toward a stable 3-day repeatable cycle.
Increased Touch Time: Our methodology increases daily touch time from the industry average of 2.5 hours to 4.5+ hours per vehicle.
Predictability and Trust: By eliminating "business noise" and managing the primary constraint (the bottleneck), we provide insurers with absolute certainty on delivery dates and performance outcomes.
Cost & Indemnity Mitigation: High-velocity repairs, lower administrative friction, and improve policyholder satisfaction create world beating network relationships.
Subrogation: We restructure subrogation modelling to ensure repairer/insurer empathy for a win-win goal, delivering significantly stronger insurer CR and EBITDA for collision shops.


Download our Information to understand the value to you as an insurer
Connect with us
Please contact us for further information or to book a 1-2-1 Zoom/Teams call
Contact
Email: jon@parker-collision-intelligence
Phone UK: +44 (0)7968 107764 / USA: +1 (910) 518-4073
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HQ: Chateau de Cezerac, Cezerac, 47500 France: www.chateau-cezerac.com


