Building Effective Decision Agents
As organizations embrace agentic AI to solve increasingly complex business challenges, the need for autonomous decision-making has never been greater. While large language models (LLMs) have revolutionized many aspects of artificial intelligence, they are fundamentally unsuited for critical business decisions. This white paper explores why specialized decision platforms and machine learning technologies, rather than LLMs, […]
Multi-Method Agentic AI
Agentic AI represents a new approach to business automation, enabling systems to act with greater autonomy through the use of intelligent agents and generative AI. By breaking automation into smaller, more specialized agents, organizations can improve adaptability, scale, and decision-making across complex processes. However, fully autonomous systems introduce challenges around transparency, consistency, and regulatory compliance, […]
Managing the Next Best Activity Decision
UPDATE Treating customers right, every time. No matter what the context or channel, Next Best Activity allows organizations to optimize each and every decision across the customer lifecycle – from customer acquisition to cross and up-sell, retention, customer service and more. Learn more in this whitepaper sponsored by KXEN.
Modernizing Credit Risk
Automated Credit Risk strategies began to emerge in the 1970s and 1980s. Back then, decision trees were the standard automation approach. Combined with procedural rule flows, if-then rules and scorecards, increasingly complex credit risk strategies were implemented. It became clear that these approaches didn’t scale well and that using them to automate a modern credit […]
Operationalizing AI: Beyond AI Pilots with Digital Decisioning
Businesses are made or broken by the quality of the decisions they make. How well does this offer target this customer? Does this machine need to be serviced now or can it wait? Is this transaction legitimate or suspicious? Will this customer make the payment they have just promised? The quality of these and many […]
Decision Modeling for Business Rules Projects
In our latest white paper, we explore the tools and techniques needed for scoping and managing business rules projects. The decision management approach to business rules begins by looking at business performance drivers, identifying the decisions that are impacting them, then analyzing what decisions will have the biggest return.
Building an AI Enterprise
In this white paper, we outline best practices for using AI to improve individual transactions and customer interactions. We consider the challenges and opportunities of AI, how AI can be applied to decision-making, why it’s essential to shape AI projects around business decisions, and how striving to make continual improvements can optimize decision-making. In addition, […]
Agility and Efficiency with Decision Modeling
Decision modeling is the proven requirements gathering and documentation approach that bridges the gap — between business process, business rules, and artificial intelligence (AI), machine learning, and predictive analytics technologies — for true Digital Decisioning.
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