Decision Agility Matters

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Agenda

Join us in a discussion about why Decision Agility is critical for organizations to respond more quickly to changes driven by data, laws, and regulations in a changing environment.

The discussion will cover:

Quick, Accurate, Consistent and Transparent (Quick ACT™) decision outcomes across the organization and existing eco-systems
How to capture and operationalize Business Rules in a structured, consistent way
Ensuring the captured Business Rules can be changed and revised in a short time frame to meet external changes
How to make sure current systems and processes are working based on the latest version of the rules

Speakers

Max Tay
BPM Architect | Enterprise Process Transformation | Process Mining Specialist
Max Tay is a BPM expert (Principal Consultant) specializing in business and process architecture, business capabilities, business process improvement, decision support and management, risk and compliance management, enterprise process (value stream) design, process mining and business process automation.
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Arash Aghlara
CEO and Founder, FlexRule
Arash is the creator of Decision-Centric Approach®, a methodology that brings People, Rules, Data, and Processes together to make “business decisions” the first-class citizens of enterprise organizations.

Since 2008, Arash has applied his approach across industries, particularly in dynamic and regulated environments, transforming decision management automation for enterprise organizations. He founded FlexRule to be the technology arm and muscle for implementing the Decision-Centric Approach®, which enables organizations to make optimized, customer-centric, and situation-aware business decisions.
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FlexRule has strengths in Decision Intelligence and Collaboration.
It stands out for its all-in-one decision and automation tools, capability to chain decisions together (“Decision Graphs”), create long-running decisions, where parts of decision logic allow for some other process to respond to a request asynchronously, and create semi-automated decisions, where human intervention may be necessary at any points.

Composite AI model for
Decision Intelligence