Risk Management Strategies

RFP Scorecard Methodology for Commercial Insurance in India: Quantitative Rubrics, Broker vs Direct Placement, and Financial Strength Verification

A practical guide to designing and implementing quantitative RFP evaluation scorecards for commercial insurance in India, covering weighted scoring rubrics, AM Best and CRISIL financial assessment, IRDAI solvency ratios, interview weighting, and broker versus direct placement criteria.

Tarun Kumar Singh
Tarun Kumar SinghStrategic Risk & Compliance SpecialistAIII · CRICP · CIAFP
8 min read
rfp-scoringcommercial-insurancebroker-selectionunderwriting-criteriaprocurementfinancial-strength

Last reviewed: March 2026

Why Quantitative Scoring Matters for RFP Evaluation

Insurance procurement decisions in Indian corporations are frequently made on ad-hoc criteria, often weighted toward price or familiarity with incumbent brokers. A quantitative scorecard prevents subjective bias, ensures consistency across evaluators, and creates an audit trail that satisfies board and internal audit scrutiny.

Quantitative scoring also clarifies trade-offs. An insurer offering lower premium but weaker claims handling or marginal solvency becomes visibly inferior when scored on a 100-point scale rather than evaluated impressionistically. IRDAI governance expectations and Companies Act obligations increasingly expect documented risk decisions; a scorecard demonstrates due diligence.

Firms adopting quantitative methods also find scoring easier to explain to stakeholders and to defend to regulators in post-loss disputes. The method is especially critical when RFPs span multiple geographies or business lines where consistency is needed.

The Five-Pillar RFP Scoring Framework

The standard structure weights five pillars: coverage design (30-35%), insurer/broker financial strength and security (15-20%), service and claims capability (15-20%), price (20-25%), and value-adds (5-10%). This allocation reflects the fact that premium is significant but rarely the dominant decision driver in commercial insurance.

Coverage design evaluates how well each proposal matches your risk profile. Does the limit structure align with your aggregation? Are policy exclusions acceptable, or do they create uninsured exposures? Service and claims capability measure responsiveness, local claims authority, and track record on similar business. Financial strength assesses insurer solvency and broker balance sheet stability. Value-adds include risk engineering support, technology integration, or bespoke product innovation.

Deviations from this weighting are acceptable. A manufacturer undertaking major capital projects might elevate service capability to 25% if project-specific claims handling is critical. A startup entering hard-market conditions may weight price at 30% if cash flow is constrained. Document your weights before issuing the RFP so bidders understand the basis of evaluation.

Scoring Coverage Quality: 30-35% Weight

Coverage quality scoring should rank proposals on a 0-10 rubric for each major line. For property, evaluate limit sufficiency (is the proposed aggregate adequate for peak exposure?), coinsurance terms (what is your retained percentage?), and franchise/deductible levels. For liability, assess whether limits align with contractual requirements, regulatory minimums, and industry norms.

Create a matrix showing your preferred coverage parameters and assign points based on alignment. Example: Full alignment with your specifications scores 9-10. Minor gaps (e.g., a higher deductible than requested, but still acceptable) score 7-8. Significant misalignment (missing coverage, narrow exclusions, or onerous conditions) scores 5-6. Non-responsive or unclear coverage scores below 5.

A common mistake is scoring coverage in isolation from price. Adjust for interaction: if Insurer A offers superior coverage at premium 15% above market and Insurer B offers acceptable coverage at market rates, the trade-off should be visible in the final scorecard, not obscured by inflating coverage scores for Insurer A.

Also request clear policy wording samples in the RFP. Verbal assurances about coverage are uninsurable; scoring must rest on documented terms. Assign lower scores to vague proposals or where wording is unavailable at RFP stage.

Assessing Financial Strength: AM Best, CRISIL, and IRDAI Solvency Ratios

Financial strength is scored on a 15-20% weight because insurer insolvency or broker collapse creates far greater loss than price savings. This section details the metrics to request and score.

For insurers, require current AM Best ratings or equivalent. In India, CRISIL ratings are the primary alternative; firms also consult ICRA ratings. AM Best assigns letter grades (A++, A+, A, A-, B++, etc.). Assign points as follows: AM Best A+ or above = 10 points; A or A- = 9 points; B++ = 7 points; B+ or lower = 3 points. If AM Best rating is unavailable, accept CRISIL. CRISIL AAA = 10; AA+ = 9; AA = 8; AA- = 7; A+ or below = 5 points.

Request the IRDAI Solvency Ratio from each insurer (available in public IRDAI filings). IRDAI mandates a minimum ratio of 150%. Scoring: 250% or above = 10 points; 200-249% = 9 points; 180-199% = 8 points; 150-179% = 6 points; below 150% = 0 points (automatically disqualify). A high solvency ratio (200%+) signals margin for claims surprises and regulatory cushion.

For brokers, request audited financials (balance sheet, P&L for last 3 years), banking relationships, and E&O (errors and omissions) insurance coverage. Brokers should maintain liquid assets of at least 3 months' operating expenses. Evaluate broker credit lines and parent company backing if applicable. Assign 10 points if the broker is well-capitalized and has strong banking relationships, 7 points if adequate but not exceptional, and below 5 if weak balance sheet or unclear financial position.

Include a question on any IRDAI enforcement actions or complaints against the broker in the prior 5 years. Scoring: zero actions = 10 points; resolved minor complaints = 8 points; unresolved or significant complaints = 3 points or below.

Service and Claims Capability: 15-20% Weight

Service quality is most evident in claims experience, so weight this section heavily if your business is claims-exposed (e.g., manufacturers, logistics, retailers). Create a rubric covering several dimensions.

Claims responsiveness: Request data on average time from claim notice to initial assessment, and from submission to settlement (by line of business). Benchmark these against known market standards. Example rubric: settlement within 30 days (or 50% within 30 days for complex claims) = 10 points; 30-60 days = 8 points; 60-90 days = 5 points; beyond 90 days = 2 points. Request references from at least 3 recent claimants (you can verify claims with their consent or ask the insurer/broker for references from public companies with disclosable claim history).

Claims authority: Does the local claims office have authority to approve settlements without referral to regional or national office? Brokers and insurers with devolved claim authority score 10 points; those requiring central approval score 6 points.

Technology integration: Does the insurer or broker offer digital claims submission, real-time claim status tracking, and integration with your accounting or asset management systems? Score 10 for full integration, 7 for partial, 3 for paper-based only.

Risk engineering and loss prevention: Does the proposal include on-site risk surveys, loss analysis, or preventive engineering support? Many captives and larger risks demand this. Score 10 if offering is proactive and tailored, 6 if available but generic, 3 if absent.

Peer references are critical. Speak confidentially with at least two current policyholders of similar profile. Ask specifically about claim denials, delays, and communication quality. Note that some insurers/brokers perform well on small routine claims but falter on complex or contested claims.

Price Evaluation: 20-25% Weight

Price should never be scored in isolation; it is one factor in total value. Assign points on a normalized scale.

First, identify the lowest-priced bid and assign it 10 points. Other bids score based on their ratio to the lowest: if the lowest is INR 50 lakh and another bid is INR 52 lakh (4% higher), it scores approximately 9.6 points (accounting for 4% premium over the lowest). If a bid is 10% higher, it scores roughly 9 points. This normalization prevents price from dominating the overall score while still rewarding competitive pricing.

Alternatively, set a price target (based on prior premium, market surveys, or broker quotes) and score within a band. Example: within target (0% to +5%) = 10 points; +5% to +10% = 8 points; +10% to +15% = 6 points; above +15% = 3 points.

Include in the RFP request a detailed premium breakdown (policy fee, each line of business, endorsements) so you understand what drives cost differences. An insurer charging a high property premium but offering enhanced business interruption cover might be competitive on total value even if the all-in premium is 8% above a lower bidder focused only on basic coverage.

Do not score deferred or conditional pricing (e.g., "price good for 30 days" or "subject to due diligence") at full value. Dock such proposals 1-2 points for uncertainty.

Scoring Broker vs Direct Placement Proposals

Some RFPs solicit proposals from both brokers and direct insurers. Scoring must account for different service models.

Broker model: Brokers place with multiple insurers, handle claims triage and negotiation, and provide ongoing renewal management. Score brokers on broker-specific criteria: market access (number of insurers with which they have relationships and negotiating strength), placement speed (how quickly can they activate cover if needed), technology platform, and experience on your specific business sectors.

Direct model: Direct insurers offer potentially lower commissions (reflected in premium) but may offer narrower product range and less complex risk handling. Score direct insurers on internal claims capability, product customization, and claims technology.

When comparing broker and direct, isolate the cost advantage of direct placement and score it fairly on price. If a direct insurer quotes 5% lower premium due to lower commissions but offers weaker claims capability, the trade-off must be visible: the direct model scores higher on price but lower on service. The final scorecard should show this clearly.

Also request clarity on conflicts of interest. Brokers should disclose if they are compensated by insurers differently or if they hold equity in any insurers. Direct insurers should disclose if they are related to or subsidiaries of groups with commercial interests in your industry.

Interview and Presentation Weighting

Technical responses alone are insufficient. Allocate 10-15% of the final score to interviews and presentations with proposed underwriting and claims teams.

Structure interviews with the same questions for all bidders. Examples: describe your approach to claims triage on contingent business interruption; how do you handle disputes on indemnity valuations; what data analytics do you use to underwrite similar accounts; how would you manage a major loss scenario specific to our business?

Score interviews on: clarity of responses (do they demonstrate knowledge or rely on platitudes?), specificity to your business (is the response generic or tailored to your risks?), team capability (do proposed underwriters and claims leads have relevant experience?), and cultural fit (would your team enjoy working with them over a multi-year relationship?).

Assign interview scores on a 0-10 scale for each topic, then average. A team that provides vague responses or generic pitches scores 4-6. A team that asks insightful questions about your operations and proposes tailored risk management scores 8-10.

Take notes during interviews. After the RFP closes, document which teams impressed you and why. This record protects your decision against later challenge and helps internalize lessons for future RFPs. Some firms also conduct site visits where the insurer or broker visits your facility, allowing them to assess exposures firsthand. Such visits are valuable for complex or hazardous operations.

About the Author

Tarun Kumar Singh

Tarun Kumar Singh

Strategic Risk & Compliance Specialist

  • AIII
  • CRICP
  • CIAFP
  • Board Advisor, Finexure Consulting
  • Developer of the Behavioural Underinsurance Risk Index (BURI)

Tarun Kumar Singh is a seasoned risk management and insurance professional based in Bengaluru. He serves as Board Advisor at Finexure Consulting, where he advises insurance, fintech, and regulated firms on governance, growth, and trust. His work spans insurance broker regulatory frameworks across India, UAE, and ASEAN, IRDAI compliance and Corporate Agency model reform, VC governance in insurtech, and MSME insurance gap analysis. He is the developer of the Behavioural Underinsurance Risk Index (BURI), a framework applying behavioural economics to underinsurance and insurance fraud risk.

Frequently Asked Questions

What AM Best or CRISIL rating should we require as a minimum for commercial insurance proposals?
Require AM Best A+ or higher (minimum A-), or CRISIL AA+ or higher (minimum AA). Ratings below this reflect financial stress and warrant disqualification. For reinsurers and specialty lines, AM Best A- or CRISIL AA is acceptable if the primary insurer is stronger. Always cross-check the rating date; ratings older than 12 months should be reconfirmed.
What IRDAI Solvency Ratio should we target when evaluating Indian insurers?
IRDAI mandates a minimum ratio of 150%. Target insurers at 180% or above, which signals comfortable margin for adverse claims, regulatory changes, or market stress. A ratio below 180% suggests the insurer is operating leaner; ratios above 250% may indicate underutilized capacity. Request the solvency ratio as of the latest IRDAI filing date and verify it has not deteriorated materially in interim quarters.
How do we score a broker versus a direct insurer fairly when brokers add cost but offer additional services?
Isolate the cost difference (broker commission, typically 10-15% of premium) and score it transparently on the price pillar. Then score service and claims capability separately, allowing the broker's superior market access and claims management to compete on those merits. The final scorecard will show whether the broker's added value justifies the commission. If a direct insurer scores higher on price but lower on service, the comparison is visible, and the procurement team can defend either choice based on organizational risk appetite.
What claims performance metrics should we request and how do we benchmark them?
Request: average settlement time by line of business (target <45 days for routine claims, <120 days for complex claims), percentage of claims settled within 30 days, average time from claim notice to first assessment, and escalation/denial rates. Benchmark against IRDAI published claim settlement statistics (available in annual reports) and peer feedback. Ask for anonymized case studies of complex claims settled by each bidder. A broker or insurer unable to provide these metrics should be questioned on why.
Can we use an RFP scorecard to negotiate better terms or pricing after the evaluation closes?
Yes, and this is common practice. After scoring all proposals, consider inviting the top 2-3 ranked bidders to a clarification meeting. Share your scorecard weights (if not already disclosed) and offer bidders the chance to address any gaps identified during evaluation. Brokers and insurers often improve pricing or coverage terms if they know they scored well on other dimensions but are behind on price. However, document that this negotiation did not alter your scoring methodology and that the final selection was still based on the original rubric.

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