Insurance pricing implementation and optimisation

Q: When should insurers move pricing beyond PAS or spreadsheets?

Insurers should move beyond PAS or spreadsheets when pricing changes are slow, manual and hard to control. A dedicated pricing platform or pricing engine helps improve agility, reduce spreadsheet dependency and support a more scalable insurance pricing process.

Q: How do you choose the right pricing platform?

The right pricing platform should fit the insurer’s products, operating model, integration needs and change frequency. It should support pricing logic, data usage, governance and faster delivery across the wider insurance pricing landscape.

Q: How can pricing changes be delivered faster and with less risk?

Pricing changes can be delivered faster with the right platform, clear governance, structured testing and strong integration. A modern pricing engine implementation helps reduce manual work, improve release confidence and shorten time-to-market.

Q: What data foundations are needed for modern pricing?

Modern insurance pricing depends on accurate, accessible and well-governed data. Insurers need strong pricing data foundations, including trusted inputs, integration with core systems and reporting that supports better pricing decisions.

Q: How do pricing and underwriting work together in practice?

Pricing and underwriting work best when they are connected through shared data, clear rules and integrated workflows. This helps insurers improve decision-making, reduce handoffs and align risk assessment with pricing execution.

Q: How can insurers test and validate pricing changes before release?

Insurers can test and validate pricing changes through structured pricing validation, regression testing and impact analysis. This helps identify issues early, reduce delivery risk and improve confidence before go-live.

Q: What are the main risks of fragmented pricing processes?

Fragmented pricing processes often lead to slow delivery, inconsistent pricing logic, spreadsheet dependency and weaker control. They also make it harder to scale change, maintain governance and improve pricing accuracy.

Q: How can pricing platforms improve time-to-market and control?

Pricing platforms improve time-to-market by making pricing changes faster, more repeatable and easier to govern. They also strengthen control through better traceability, structured workflows and more reliable deployment.

Pricing advisory and platform selection

Not sure which pricing setup fits your business?

We assess your pricing model, current tools and delivery needs to help you choose the right platform, architecture and implementation approach.

Pricing engine implementation

Need to move from strategy to working delivery?

We implement pricing engines and translate pricing logic into structured, scalable solutions that support faster and more controlled change.

Process automation and workflow

Too much manual work slowing pricing teams down?

We streamline pricing workflows, reduce manual effort and improve how changes move through approvals, updates and operational delivery.

Better pricing validation

Hard to test pricing changes before release?

We support validation, testing and impact analysis to reduce delivery risk and improve release confidence.

Integration across the pricing ecosystem

Need pricing to work across your wider IT landscape?

We integrate pricing engines with core systems and external data sources to support smooth delivery and more accurate pricing.

Smarter use of data

Want to make better use of pricing data?

We help insurers use trusted data, reporting and analytics to improve pricing accuracy, visibility and decision-making.

Teams that understand pricing beyond code: We combine insurance, actuarial and technical expertise to deliver pricing platforms with a clear understanding of pricing logic, not just implementation.
Implementation experience that reduces risk: Practical support for faster, safer pricing engine integration and rollout.
Trusted pricing partnerships: Experience working with leading pricing platform providers and related solutions.
A structured approach to testing: Support for pricing validation, testing and release confidence.
Broader insurance delivery strengths: Access to connected competencies such as data, underwriting and integration.

Automating tests in Earnix Price-It and maintenance of consistency between PC and Earnix

The business need was to build and sustain a testing strategy in Earnix Price-It and to maintain consistency between PC and Earnix. Before Sollers joined the customer, premiums in PC were incorrect (too high or too low) and required manual adjustments by the underwriters. More than 10 integration errors across 11 tariffs occurred.

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We assess your current setup, identify what slows change and define the right path forward

Review current pricing standards

Do your current pricing standards support the business?

We review your pricing setup, delivery model and tools to understand what supports change and what creates friction.

Define the role of the pricing engine

What should the pricing engine improve?

We define the role of the pricing engine in your target setup, from faster change delivery to better control and scalability.

Assess pricing maturity

Is your pricing model ready for current market realities?

We assess pricing maturity across products, processes and market pressures to identify the key gaps and opportunities.

Define the path forward

What is the right next step for your organisation?

We build a practical roadmap, from strengthening pricing capabilities to selecting the right engine and implementation approach.

Help insurers define the right pricing setup, from current-state assessment to platform, architecture and delivery recommendations.

What you get:

• Review of pricing processes, tools and current bottlenecks
• Assessment of spreadsheet- and PAS-based pricing limitations
• Support in pricing platform and target architecture selection
• Recommendations for operating model, ownership and delivery
• Implementation roadmap aligned with business priorities

Business impact:

• Better decisions before implementation starts
• Clear direction for pricing transformation
• Reduced risk of choosing the wrong platform or setup
• Stronger alignment across actuarial, business and IT

Implement and configure pricing engines that support scalable rating, faster change and more controlled delivery.

What you get:

• Pricing engine implementation and configuration
• Support in tariff migration to the pricing engine
• Support in setting up new tariffs in the pricing engine
• Change management support for pricing delivery
• Structured implementation tailored to product and market needs

Business impact:

• Faster, safer pricing rollout
• Better control over pricing change
• Reduced manual workarounds and local tools
• Better platform stability and delivery predictability

Connect pricing engines with core systems, underwriting workflows and external data sources for smooth end-to-end pricing delivery.

What you get:

• Integration with PAS, underwriting, distribution and core systems
• Integration flows for pricing inputs, outputs and decision support
• Connection to external data sources, such as weather data
• Support for pricing data exchange across the IT landscape
• Integration delivery that improves accuracy and operational fit

Business impact:

• Smoother pricing operations across connected systems
• Better use of internal and external data in pricing
• Reduced manual handoffs and rekeying
• More accurate pricing supported by a stronger ecosystem

Build the data foundations needed for pricing models, better decisions and continuous optimisation.

What you get:

• Data pipelines for pricing inputs, outputs and monitoring
• Reporting and analytics for pricing and portfolio insight
• Better access to data used by pricing, actuarial and business teams

Business impact:

• Better visibility into pricing performance and trends
• Higher confidence in pricing decisions
• Improved pricing accuracy through better data foundations
• Less manual effort in data preparation and analysis