Insurance Rating Software for MGAs: Modernizing Pricing with the Insillion Rating Engine Approaches

The Core Rate Management Challenges MGAs Face 

MGAs often face significant challenges when managing rates. These include frequent pricing adjustments, continuous updates across multiple coverages, and changes introduced by capacity providers. Managing current rates across all products, regions, and distribution channels requires constant monitoring and coordination between business teams, underwriting teams, and IT analysts. 

1.  Maintaining Quote Version Clarity and Control: Requests for quotes with small alterations present another set of challenges. This leads to confusion about which version of the quote is current or correct. Processing multiple similar submissions takes time. Errors can occur if an outdated or incorrect quote is used. Identifying genuine interest in a policy becomes harder due to these repeated submissions. 
2. Adapting Quickly to Market and Regulatory Change: Insurance rates constantly evolve due to loss trends, market competition, regulatory changes, and shifting risk conditions. While some products change annually, competitive commercial lines may require monthly or more frequent updates. Each change must be carefully validated, tested, and deployed across systems to avoid mispricing and operational risk. 
3. Handling High-Volume Rate Data at Scale: Modern insurance products can involve massive rate tables. A single personal auto insurance product might have millions of rate cells. MGAs' rate management solution must not only store this data efficiently but also retrieve and apply it in real-time during quote and bind operations, often requiring sub-second response times to support acceptable user experiences. 
4. Enabling Seamless Ecosystem Integration: Rates must integrate seamlessly with PAS platforms, broker portals, underwriting workbenches, and external data providers. Disconnected rating logic increases operational overhead and creates consistency risks.

In today's fast-paced digital landscape, the insurance rating engine has evolved from a simple back-office calculator into a strategic asset that directly impacts an insurer's competitiveness and growth. 

This blog examines where Excel-based Rating is used in practice, where they deliver the most value for MGAs, and where its limitations begin to surface. We then compare this with Insillion's data-driven, low-code rate management approaches to help MGAs determine which model best aligns with their business needs. 

Two Approaches to Insurance Rating Engine 

To address these rate management challenges, MGAs have two primary options, each with distinct strengths depending on operational needs. Each approach reflects a different stage of product maturity, rate of complexity, and change frequency.   

1. Excel-Based Rating  
2. Master Table-Driven Rating 
3. Hybrid Approach 

Insurance Excel-Raters 

In this approach, the MGA's Excel-based rater becomes the rating engine itself. 

How It Works 

MGAs build their entire rating logic directly in Excel rate tables, premium calculations, territory mappings, class codes, and dropdown lists, all live in one self-contained file. You use familiar formulas (VLOOKUP, INDEX-MATCH, and IF statements) with named ranges to keep everything structured, readable, and maintainable. 

The Rater Excel is then thoroughly tested offline to ensure calculation accuracy, lookup correctness, and handling of complex scenarios such as conditional rates, tiered pricing, and rider calculations.  

Once validated, the Excel file is uploaded into Insillion, where the platform converts the embedded Excel logic into executable services (such as APIs or JavaScript-based execution layers) and runs them during quote processing, no manual calculations are needed. 

Version Control and deployment: Each uploaded version is tracked and can be locked to specific policies or quotes to maintain historical rating accuracy.  Excel ranges are linked to Insillion forms to drive dropdowns, validations, referral rules, and rating inputs captured during quoting.  

When rate updates are required, business or product teams can modify the Excel file and re-upload it, allowing rapid deployment of new rates without making changes in the Policy Admin Systems or requiring development translation, although this process can become repetitive if rate changes are very frequent.   

Consideration 

1. Limited Agility: If MGAs operate in surplus lines or highly competitive markets where rates change frequently, Excel-based rating can become operationally restrictive. Each change requires file updates, uploads, and regeneration of rating logic. 
2. Data Security Risks: When Excel rate files are shared outside the organization. Control over the data is lost. External parties can make changes, and this opens the possibility of unintended modifications. 
3. Limited Governance: Traditional Excel-only rating environments often lack formal maker-checker workflows and centralized audit trails. This increases the chance of establishing who made which changes and when, increasing the risk of pricing errors. 
4. Performance Issues at Scale: As rating factors multiply and calculations grow complex, Excel files often experience a noticeable decrease in performance. Files can become slow to open, process, and save, leading to longer times generating quotes and rate adjustments. 
5. Scalability Constraints: Excel is best suited for smaller to medium datasets (typically ~1,000–2,000 rows and ~10–20 columns).  But as the Excel files grow very large with extensive data and formulas, they can become unstable, prone to crashes, or subject to file corruption. 
6. Data Fragmentation: Files that reach several gigabytes can become unstable. They might crash more often or become corrupted. To manage file size, rating systems are sometimes divided into multiple Excel files. This creates data fragmentation, making it difficult to ensure consistency 

Insillion Master Table (UI + Low-Code Driven Rate Management) 

When rate changes happen frequently, managing them through a user interface delivers clear advantages over file-based workflows. 

How It Works 

Insillion's master table approach allows business, product, and underwriting teams to manage rates directly within the platform using low-code capabilities, offering efficiency and accuracy. 

MGAs can update rates directly in the rating system without the overhead of file management and regeneration.  It provides a more integrated and controlled way to keep rates current, leveraging low-code configuration instead of repeated uploads or manual reprocessing. 

Hierarchical Data Structure: Data is arranged using a key-value structure, often across three hierarchical levels, allowing information to be grouped and managed visually.  

1. Level 1: Broadest category (e.g., Country) 
2. Level 2: Mid-level refinement (e.g., State) 
3. Level 3: Granular detail (e.g., City) 

For example, in commercial property products, base rates can be defined at the country level, refined by state-specific risk differences, and adjusted at the city level. This same structure applies to products, coverages, and sub-coverages, creating a clear, visual organization for complex, location-based premium variations. The low-code UI makes it easy to build, manage, and visualize these hierarchies in a clear, intuitive way. 

Time-Based Rate Activation: Business and product teams can configure specific rates or pieces of master data to be active only during defined time periods.  Rates are managed using specific "from" and "to" dates directly within Insillion's Rating System.   

For example: 

1. Rate Set A: Jan 1 – June 30 
2. Rate Set B: July 1 onwards 

The master table's time-based validity feature handles transitions automatically within the user interface. This avoids the need to delete old data or upload new files.   

API-Driven System Integration: The insurance rating engine generates APIs that allow internal and external systems to retrieve current, approved rates in real-time. The headless insurance rating engine API fetches data directly from Insillion's centralized database rather than relying on spreadsheets, ensuring consistency across all pricing and quoting tools. 

Channel-Based Pricing Configuration: Business and underwriting teams have the flexibility to configure different prices or discounts based on the sales channel. The system automatically applies the correct rate when a submission is created, ensuring pricing consistency without manual calculation. 

Key Advantage: 

1. Audit Trail: An important feature of these systems is the audit trail, where every rate modification is automatically recorded, creating a complete and traceable history of changes. This provides clear visibility into who made adjustments and when, making it easy to track modifications and supporting accurate reporting for capacity providers and Bordereaux reporting requirements. 
2. Rate Modifiers: Rules for adjusting rates are configured through low-code capabilities. Underwriters are permitted to apply discounts or adjustments within defined limits.  For example, an underwriter might apply a 5% discount.  This discount is allowed if the premium falls within a specific range, such as $500 to $1000. Underwriters can adjust rates as needed. These adjustments are kept within set boundaries. 
3. Granular Access Control and Data Governance: Access control is another key aspect. Permissions are configured to specify who can view or modify rates.  Only authorized personnel are able to make changes.  The integrity of the rating data is maintained.  For more granular control, especially for different carriers, rules can be moved from Excel to database tables, allowing for versioning and effective dates. 
4. Scalability: For master data sets exceeding the "1000-2000 rows and 10-20 columns" recommended limit for Excel, MySQL tables provide a more performant and scalable storage solution. Data retrieval is typically much faster, supporting more complex products and higher transaction rates.   

A Combined (Hybrid) Approach 

Some MGAs benefit from combining both methods. A hybrid approach allows certain rates that change infrequently to remain in Excel files, while rates requiring frequent updates are managed within the master table system. 

This flexibility is particularly valuable for MGAs writing both admitted and non-admitted lines or managing diverse product portfolios. Each line of business can use the rate management approach that matches its actual update frequency, optimizing workflows across the entire organization. 

Excel vs Master-Driven Rating  

Choosing the Right Rating Approach 

The choice between these methods depends heavily on "How frequently are an MGA's rates updated?  

MGA Insurance Software, like Insillion, supports all three approaches because there's no one-size-fits-all answer. The key is choosing based on MGAs' actual business needs, not because "that's how we've always done it."  The decision for an MGA regarding the rate management method rests on the frequency of rate adjustments.  

1. If the rate updates happen once or twice annually: Excel-based rating delivers simplicity and familiarity without unnecessary complexity. 
2. If the rate updates occur monthly, quarterly, or whenever market conditions shift: Master table-driven rating saves significant time and accelerates responsiveness to market opportunities. 
3. If update frequency varies significantly across product lines: A hybrid approach provides the flexibility to optimize each line of business individually. 

Successful MGAs understand that a rating engine should accelerate business operations, not slow them down. The market rewards MGAs that can respond quickly, price accurately, and maintain governance. MGAs' rating strategy should enable all three. 

Frequently Asked Questions