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InRule named Leader in Forrester Wave™: AI Decisioning Platforms, Q2 2023

InRule Technology, an intelligence automation company providing integrated decisioning, machine learning and process automation software to the enterprise, announced that its platform has been named a leader by Forrester Research in The Forrester Wave: AI Decisioning Platforms, Q2 2023.

Solentive is the exclusive distributor of InRule in the APAC region and has held this partnership since 2008. Solentive specialises in implementing and integrating solutions using InRule Technology.

What is InRule used for?

InRule Technology® provides a robust solution to create, modify, test and launch automated rules, quickly and within widely deployed platforms such as Microsoft Dynamics® 365 and Salesforce®. The human-friendly AI tools allow users to author automated rules and decisions using plain-language dropdown menus. Many of Solentive’s clients across the APAC region rely on InRule to analyse large volumes of data and make operational decisions using AI-powered automation. One notable example is HCF, where InRule played a significant role in transforming their claims process, leading to substantial cost reductions. Similarly, NIB, a health cover provider for nearly 1.2 million Australians, utilised InRule to empower their ability to make swift changes to claim rules. As a result, they experienced increased productivity, accelerated time to market, and a notable reduction in claim fraud.

"InRule has proven to be a great decision. Aside from providing a better rules development experience (compared to our previous rules engine) the runtime has been stellar. We also have a reliable partner in Solentive, something that was lacking earlier." Adrian Falcao Enterprise Design Architect HCF

What is the Forrester Wave?

The Forrester Wave™ is a guide for buyers considering their purchasing options in a technology marketplace and is based on analysis and opinion. To offer an equitable process for all participants, Forrester follows a publicly available methodology, which is applied consistently across all participating vendors.

The report states InRule received the highest rating possible in the following criteria related to current offering: Explainability, ModelOps, Tools, Accelerators, and Security.

InRule was one of 13 companies invited by Forrester to participate in this comprehensive evaluation. The evaluation examined the top AI Decisioning Platform providers in the market based on 23 criteria. InRule emerged as a leader in this independent analysis, which assessed providers across three categories: their current offering, strategy, and market presence.  

InRule excelled in several “current offering” criteria, including Explainability, ModelOps, Tools, Accelerators and Security, receiving the highest score possible. The evaluation also revealed that InRule obtained the highest score in strategy-related criteria, specifically in product vision and commercial model.  

According to the Forrester report, “AI decisioning platforms provide enterprise business and technology teams with tools to author and automate business decision logic in a wide variety of applications by leveraging combinations of decision intelligence technologies such as business rules, machine learning models, mathematical models, and more.” 

Forrester highlighted in the report that “InRule customers appreciate how easy the platform is for business experts to use and the expanded tools for workflow design and execution. InRule is attractive to customers that want a decisioning platform that has a broad set of capabilities and affords business experts the agility of changing decision logic in highly regulated and/or fast changing environments.” 

Implementing a Business Rule Engine such as InRule, offers numerous benefits, including increased agility, improved automation, enhanced compliance, better alignment between business and IT, improved accuracy, empowered business users, and scalability. These advantages contribute to operational efficiency, cost savings, risk mitigation, and improved customer satisfaction.


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