🛑Do not STOP at rules. Adaptive and Continuous Decisions start where static rules end.
Traditionally rule-based decisions are static and discrete from the broader decisioning scenario the organizations run.
⭕ Rule-driven decisions should not be static. Once a decision model using rules is deployed, it must receive feedback, either automatically or by operator, on how the decisions impacted outcomes. This feedback should go back in as new inputs so rules can make more optimized decisions based on the received feedback. Learning and adaptive capacity are lacking from decision models like Decision Model and Notation (DMN).
⭕ When a customer engages with your organization in any capacity, depending on where they are at in their engagement life-cycle and what they want to achieve, a different set of decisions should be executed. This is a complex problem that cannot be solved using process or workflow models. Because customer behaviors are not predictable and not linear. A long-running, stateful and event driven model for decisions is needed, one based on causal pathways, events, exceptions and interruption, with the ability to re-evaluate decisions and understand causality.
💡 What links all of these dynamics is a cause-effect chain. Each event in the customer journey triggers a change in state, and each state leads to a new opportunity where new decisions are applicable or a re-evaluation of existing ones is needed. Understanding and executing decisions across these cause-effect chains is essential to align actions with outcomes and respond to context as it unfolds.
So what is the solution?
🟢 AI-powered adaptive model enabling decisions to learn based on feedback or new circumstances. This can be used in scenarios where the next-best-thing (action, conversation, offer etc.) should be ranked and optimized. nba nbc
🟢 Continuous Decision Model (CDM) to bring together all the automated decisions and processes and execute them systematically, considering that the pathway to decisions is not predictable and they will need to be resolved on an ongoing basis. This model can present complex and uncertain situations where re-evaluation of decisions is needed over an extended period of time.
📢 These two challenges are the main theme of the latest release of our platform, the Open Decision Intelligence Platform. OpenDIP
➡️ Learn more https://lnkd.in/g2MKJhAe
–
Follow “The Uncle of DI” if you’re looking for unfiltered insights into DecisionIntelligence, AI, and DecisionAutomation. Hit the 🔔 on my profile to get notified about my daily posts.
Posted here.
Published May 14th, 2025 at 07:30 am
