Insurance Data Vendor Diligence Template

This blueprint is for P&C teams who need Insurance Data Vendor Diligence Template to double as an internal working document—not a marketing PDF. Practical buyer guide for Insurance Data Vendor Diligence Template with evaluation criteria, risk checks, and shortlist workflow for P&C teams.

How to use this guide: Treat it as a working playbook. Assign section owners, attach evidence (screenshots, API specs, SOC reports, runbooks) to each checklist row, and re-score monthly through selection. Where third-party statistics appear, use them as directional industry context—always reconcile to your own filings, loss triangles, and experience studies.

Executive summary

• Insurance Data Vendor Diligence Template should reduce selection risk by forcing shared definitions, evidence, and accountability across business, technology, and finance.
• Buyers fail when they score demos instead of operating truth—this blueprint weights evidence over narrative.
• The highest ROI work happens before the RFP: cohort metrics, integration maps, and legal boundary on data.
• Treat vendor claims as hypotheses until validated in your environment with logging and finance reconciliation.
• Success is a signed decision memo with dissent documented, not unanimous slide approval.

Industry context (how to anchor numbers responsibly)

• Regulatory reporting in U.S. P&C is structured around statutory financials and market conduct expectations coordinated through NAIC-aligned frameworks—your benchmarks should ultimately reconcile to your own statutory and management reporting, not a vendor slide.
• Industry education (for example, III explainers) helps align non-technical stakeholders on vocabulary (combined ratio, loss reserve development, expense ratio) before you debate platform choices.
• When vendors cite "industry averages," demand the cohort definition (personal vs commercial, country, line, company size) and refuse unmatched comparisons.

Stakeholder matrix (who must sign what)

Blueprint execution phases (0–180 days)

Data and enrichment blueprint

Expanded data diligence checklist

• Lineage from vendor feed to model feature with owner.
• Consent and permissible purpose documentation.
• Opt-out handling where legally required.
• Refresh cadence vs underwriting decision timing.
• Fallback behavior when vendor is unavailable.
• Pricing model tied to measurable quote uplift, not flat per-call fees only.
• Security review including pen test excerpts for APIs used in production.
• Retention schedule aligned with policy lifecycle.
• Bias review where scores influence consumers.
• Exit plan with historical data portability.

Quantification playbook (build your own statistics)

Use this sequence so every chart in your steering deck is defensible:

1. Define the numerator and denominator in SQL (not in slides).
2. Freeze a cohort (accident year / report year / close date—pick one and document).
3. Compare to a control (prior year same quarter, or matched control cells).
4. Publish confidence intervals when sample sizes are small (specialty lines).
5. Reconcile to finance (loss payments, case reserves, IBNR movements) quarterly.

Master blueprint checklist (assign owners + dates)

Governance

• Single RACI across business, IT, security, legal, and procurement.
• Decision log with dissent captured for major architecture choices.
• Change-advisory path for production releases with named approvers.

Evidence binder

• Data dictionary for every field used in executive or regulatory reporting.
• Lineage from source system → integration → warehouse → dashboard.
• Versioned requirements with traceability to test cases.
• Archived PoC artifacts (configs, logs, scorecards) for 24+ months.

Operations

• SLA tables for critical workflows with breach escalation.
• Runbooks for vendor outage, data feed failure, and degraded mode.
• Quarterly operational review with finance reconciliation.
• Capacity plan for peak seasonality (renewals, cat, month-end close).

Security

• Segregation of duties for production access and privileged operations.
• Penetration test scope includes integrations and partner connections.
• Secrets rotation and key management reviewed with cloud security.

Finance

• TCO model includes license, infra, internal FTE, and partner services.
• Capitalization policy aligned with engineering deliverables.
• Sensitivity tables for adoption, discount rate, and maintenance creep.

Procurement

• Pass/fail NFR matrix (latency, throughput, resilience, support).
• Exit clauses for missed milestones or repeated SLA breaches.
• Benchmark clause tying roadmap claims to documented releases.

Vendor demo and workshop prompts

Ask vendors to show, not tell:

1. "Walk us from raw event ingestion to explainable reason codes on a masked claim identical to our complexity."
2. "Demonstrate rollback of a model version in production without losing audit trail."
3. "Provide the last three customer-impacting incidents and MTTR."
4. "Show how you separate training data from production feedback loops to prevent leakage."
5. "What is your minimum annual professional services load for our book size—and why?"

Source and evidence standard (CoverHolder)

CoverHolder publishes founder-verified vendor facts where available and otherwise treats vendor pages as navigation, not endorsements. For your internal board pack:

• Prefer primary sources (vendor docs, release notes, contracts, SOC2/ISO reports) over analyst quotes.
• Label assumptions explicitly when evidence is incomplete.
• Avoid definitive performance claims ("fastest", "best") unless tied to a published, reproducible score in your own PoC.