The Forrester Wave™: AI Decisioning Platforms, Q2 2025

AI Decisioning Platforms Vendor Product Comparisons 2025

Key features and pros and cons of top AI Decisioning Platforms products:

FICO - Leaders

Pros:

Excels in decision authoring, testing, and optimization
Superior governance capabilities including lifecycle management, transparency, extensibility, and observability
Platform powers many of the world's largest financial institutions
Exceptional innovation approach, product roadmap, and implementation services
Prebuilt solutions for financial services such as fraud management

Cons:

Some user interfaces are inconsistent for some platform solutions
Could improve cohesive user experience to ensure consistent design across the platform
Could bolster adoption by further developing partner ecosystem to diversify to new industries

IBM - Leaders

Pros:

Excels in decision authoring, testing, and especially optimization with sophisticated machine learning tools and mathematical programming solver
Well-rounded governance capabilities including lifecycle management, transparency, and observability
Architecture scales effectively for high-volume decisioning needs
Only platform that can embed decisions in mainframe applications
Exceptional vision puts decisioning at center of enterprise AI transformations
Large, global implementation and support services

Cons:

Could improve cohesive user experience to ensure consistent design across the platform
Some customers complain about the cost of the platform
Partner network could be better engaged to further grow adoption of ODM

Palantir - Leaders

Pros:

Excels in data modeling and integration for managing complex datasets and models
Strong decision testing and optimization capabilities
Observability supports system health for mission-critical applications
Elegantly extensible and scalable architecture handling large-scale and compute-intensive decisioning
Comprehensive consulting services ensure outsized deployment value
Focus and intelligence of implementation teams

Cons:

Interface for creating decisioning logic is less sophisticated than most other vendors
Could improve partner ecosystem by forging stronger alliances with domain specialists
Charges a premium for implementation support

Pegasystems - Leaders

Pros:

Excels in data modeling and integration with simplified data abstraction layer
Strong governance capabilities including lifecycle management and observability
Extensible architecture enables integration with enterprise systems and partner modules
Superior vision, innovation, roadmap, partner ecosystem, adoption, and support services
Pega GenAI Blueprint enables natural language generation of decisioning workflows and AI agents
Breaks down customer data silos and enables hyper-personalization

Cons:

Could reimagine how decision logic is authored in AI decisioning agents
Platform focused primarily on customer-centric use cases

Sapiens - Leaders

Pros:

Delivers cohesive user experience for both business and technical users
Platform governance excels with robust observability
Decision authoring supports efficient creation and management of decisioning modeling
Innovative roadmap advances AI decisioning by extracting rules from policy documents
Deep understanding of nuances in business use cases
Visionary AI decisioning thinking since 2014

Cons:

Could improve data integration to enhance processing of data sources
Could boost governance transparency
Could improve partner ecosystem by forging stronger alliances with cloud providers and integrators
One reference customer reported uneven customer support
Relatively small company with limited go-to-market resources

ACTICO - Strong Performers

Pros:

Solid data modeling, data integration, decision authoring, and decision testing
Solid governance capabilities critical for compliance and risk decisioning
Meticulous attention to implementation details
Stellar customer support
Strong partner network drives growth
Customer Favorite in this evaluation

Cons:

Could invest in innovation and product features for general-purpose AI decisioning agents
Innovation and roadmap focused primarily on regulatory use cases

CRIF - Strong Performers

Pros:

Solid data modeling, integration, decision authoring, decision testing, and decision optimization
Intuitive experience and solid lifecycle governance and transparency
Extensible architecture
Mature and proven customer onboarding process
Exceptional implementation support and ongoing service
Decades of experience delivering integrated credit decisioning solutions

Cons:

Could enhance platform user interface design
Could expand vision and innovation to AI decisioning agents
Strategy focused on leveraging data and analytics assets rather than standalone platform growth

Provenir - Strong Performers

Pros:

Excels in cohesive user experience with unified interface and consistent design
Intuitive user experience boosting productivity
Supports data modeling and observability
Solid implementation resources for enterprise clients
Focus on integrated credit solutions across full customer lifecycle

Cons:

Could strengthen decision authoring, testing, and optimization capabilities
Could innovate more around AI decisioning agents
Could build out larger partner ecosystem
Some customers mentioned desire for more consistent release cadence

SAS - Strong Performers

Pros:

Elegantly designed cohesive user experience integrated with other Viya products
Strong governance in lifecycle management and transparency
Decision optimization enhances outcomes like revenue and risk management
World's most comprehensive and sophisticated analytics/AI tools
Seamless integration with SAS Viya platform
Global implementation resources

Cons:

Could improve observability tools to better monitor system performance
Could improve architecture extensibility to enhance customization
Product roadmap could more directly target decisioning market
Some customers lack clarity on roadmap

Decisions - Contenders

Pros:

Excels in cohesive user experience with elegant, intuitive interface
Excels in lifecycle governance for decisioning and full applications
Exceptional extensibility to use and manage external capabilities
Differentiates in innovation for decisioning use cases with application development

Cons:

Could enhance decision optimization and governance transparency
Vision and roadmap veer from primary focus on decisioning
Customer feedback mixed on implementation timelines and expanding use cases
Also positioned as no-/low-code platform beyond decisioning

Experian - Contenders

Pros:

Supports decision optimization for refining decision logic
Provides governance transparency for auditability and explainability
Extensible architecture for customization and integration
Observability for monitoring system performance
Market-leading credit score data for consumer credit use cases
Focus on seamless use of consumer data

Cons:

Could enhance data modeling, data integration, decision testing, cohesive user experience, intuitive user experience, lifecycle governance, and scalability
Must keep pace with vision and roadmap of competitors
Could do better job helping customers understand roadmap and vision
Strategy focused on existing customers using company's consumer data

FlexRule - Contenders

Pros:

Solid capabilities in data modeling, data integration, decision authoring and testing, and decision optimization
Solid transparency
Intuitive design for business and technical users
Commitment to quickly implementing platform
Support responsiveness
Includes workflow orchestration

Cons:

Could enhance observability
Small company size limits resources for customer adoption and partner ecosystem expansion
Strategy lacks relevance to evolving market opportunity
Limited ability to grow beyond few customers per year

InRule - Contenders

Pros:

Solid capabilities for data modeling, data integration, decision authoring, decision testing, and decision optimization
Extensible architecture for customization and integration
Seamless integration with Microsoft ecosystem
Proven implementation services with large and midsize enterprises
Focus on full lifecycle decisioning for business experts
Includes workflow tools

Cons:

Could harmonize user interface design across all capabilities
Could improve governance lifecycle
Needs to expand vision and innovation around AI intelligence in platform
Can nurture more productive partner program
Some customers mentioned desire for more consistent customer support

Progress - Contenders

Pros:

Excels in data integration for seamless access and transformation
Supports data modeling for robust data models
Extensible architecture to integrate with other Progress products
Detailed roadmap with transparent release cadence
Long-standing ISV partner ecosystem
Level of support to quickly resolve implementation issues

Cons:

Could enhance decision authoring, decision testing, decision optimization, cohesive user experience, intuitive user experience, lifecycle governance, transparency, observability, and architecture
Customers mixed on continuing to expand use cases
Has to improve in multiple areas to catch up with other vendors

Sparkling Logic - Contenders

Pros:

Thoughtful, cohesive, and intuitive user experience designed for business experts
Solid capabilities for decision authoring, testing, and optimization, lifecycle, and extensibility
Remarkably well thought out user interface design
Key partnership with credit bureau
Highly responsive customer support
Commitment to quickly implementing platform

Cons:

Could take optimization to next level for differentiation
Small company size limits investment in other areas
Strategy scores lack relevance to evolving market opportunity
Limited resources for significant growth

FAQs

Q: Which vendors are Leaders in 2025?

A: FICO, IBM, Palantir, Pegasystems, Sapiens

Q: What does "Leader" mean in Forrester Wave terms?

A: Leaders in the Forrester Wave demonstrate exceptional current offerings and strong strategies. They excel in critical capabilities such as decision authoring, testing, optimization, and governance (including lifecycle management, transparency, extensibility, and observability). Leaders have superior vision, innovation, product roadmaps, and implementation services. They serve the world's largest enterprises at scale, often with industry-specific prebuilt solutions, and maintain strong customer satisfaction.

Q: How do I interpret a Forrester Wave?

A: https://www.forrester.com/policies/forrester-wave-methodology/

Report:

Top Vendor Products for AI Decisioning Platforms in 2025

AI Decisioning Platforms Vendor Product Comparisons 2025

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FAQs

Q: Which vendors are Leaders in 2025?

Q: What does "Leader" mean in Forrester Wave terms?

Q: How do I interpret a Forrester Wave?

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