Last year, Cloverpop was included in the Gartner Market Guide for Decision Intelligence Platforms, a comprehensive review of vendor capabilities for decision intelligence. With the recent announcement of Gartner’s inaugural Magic Quadrant for Decision Intelligence Platforms later this year, I thought it would be helpful to review Gartner’s definition of decision intelligence platform capabilities and how the Cloverpop Decision Intelligence Platform stacks up.
As a pioneering decision intelligence platform for over a decade, our software has in-depth capabilities across all critical aspects of the Decision Intelligence Platform category.
Learning and Auditing
The Cloverpop Decision Intelligence Platform gives companies the ability to view, evaluate and audit decision flows. This includes two critical elements. First, Cloverpop Decision Trees and Decision Flows power detailed decision logging Cloverpop Decision Bank enables detailed decision auditing. Together, logging and auditing provide recording, traceability and assurance for auditing Decision Trees and Decision Flows, simulating decisions using our Cloverpop D-Sight AI engine, and report on the decision process and decision outcomes. The Cloverpop Learn module then uses these decision records for decision learning and the Cloverpop D-Sight AI engine uses them for decision adaptability, together suggesting and implementing optimizations in Cloverpop Decision Trees and across the decision-making process.
Decision Monitoring and Governance
The Cloverpop Decision Intelligence Platform provides unequaled detailed ability to view individual decisions, their structure, models and decision metadata and their place in decision flows. Each decision includes scores and measures of defined metrics including completion status, risk, stakeholder buy-in and customizable measures of decision outcomes. The decision records clearly show all people, data sources and AI contributors involved in each stage of the decision. Decision Trees and Decision Flows also offer detailed decision governance with highly customizable Templates that can be configured to formulate and apply any required policies and regulations to support accountability, mandates, risk management, transparency and trust processes. The Cloverpop Decision Intelligence Platform includes decision models via Decision Trees and Decision Flows, broad access to the Decision Bank and Report Insights knowledge repositories, and advanced management features to manage access to, collaboration on and communication and sharing of the decision-making process at every step of the way.
Decision Actor Collaboration
The Cloverpop Decision Intelligence Platform is dedicated to elevating human decision-making to the power of AI (Human^AI). We improve human-machine interaction in three critical ways, all personalized and contextualized to user needs. The CloverpopAI agent is deeply integrated into the process of structuring and collaborating on Decision Trees and Decision Flows by importing decisions from common business document formats, suggesting decision models and choices, using natural language processing and GenAI to synthesize decision insights and recommendations and assist in storytelling. The Cloverpop D-Sight AI engine provides transparent data-driven modeling and analysis from metrics and KPIs through insights and recommendations across a wide range of commercial data sources and decision areas, including detailed data visualizations and the flexible Ask Cloverpop decision-centric agent to support natural language queries. Finally, Cloverpop Forecasting provides AI-driven modeling, analysis and simulation of data-driven forecasts for category, brand, demand and new product planning. Overall, customers praise our intuitive user interfaces for combining human and machine capabilities to minimize friction when modelling and composing decision structures and during the analysis, collaboration, synthesis and communication required by real-world decision-making processes.
Orchestration Execution
The Cloverpop Decision Intelligence Platform excels serving as the “middleware” to orchestrate the crical human, machine and data resources required to support real-world decisions through our Decision Trees and Decision Flows, operating continuously in real time, with a robust Cloverpop Decision API for integration with other enterprise systems.
Composability
Cloverpop Decision Trees and Decision Flows treat the subtasks of the decision process as individual components we call Decision Drivers. These flexible and powerful Drivers can be tied to a vast range of external and internal inputs, including traditional analytics and enterprise systems and AI agents, as well as direct human input and unstructured documents and data sources across the enterprise – essentially any input relevant to the designed Decision Trees and Decision Flows flow. Cloverpop Decision Trees and Decision Flows enable a Composite AI strategy to combine multiple AI, modeling and analytical techniques. Decision Playbooks and various workflows, roles and permissions enable prescriptive policies. The Cloverpop D-Sight AI engine orchestrate symbolic graph-based and numerical modeling and a wide range of natural language processing, GenAI and advanced machine-learning analytics techniques. Cloverpop Forecasting enables advanced modeling and analysis, simulations, due-to decomposition and other analysis requirements to support decision-centric planning processes.
Decision Modelling and Orchestration Design
The Cloverpop Decision Intelligence Platform sets the standard for detail and flexibility when it comes to defining decisions, their inputs, their flows, the people and models involved and the expected outputs and outcomes. Cloverpop’s Decision Templates and Decision Playbooks provide a blueprint to model decisions and power the highly collaborative and visual Decision Flows and Decision Trees. Our expert Decision Success and Decision Analytics professionals and our strategic partners can help you leverage our library of Decision Template blueprints for specific decision-centric tasks across business functions and vertical industries, especially commercial processes within CPG, pharma, retail, light manufacturing and consumer-oriented financial services. Cloverpop’s intuitive visual Decision Trees and Decision Flows let beginner and advanced business users design and model decision flows directly in the software with no coding required and then deploy and execute those decision processes with the click of a button.
Get a Demo
Are you interested in learning more about the Cloverpop Decision Intelligence Platform? Reach out today to get a demo.
