Business Originals

Building a Fact-Based Future with Continuous Control 

How can organizations move from guessing to steering strategy with fact-based process insights?


Key takeaways of this session:
  • How continuous monitoring enables earlier intervention instead of firefighting.
  • How to translate abstract AI ambitions into practical, scalable use cases.
  • How organizations achieve measurable impact without overwhelming their teams.
duration 55 minutes
who is this webinar for CIOs, IT Directors, Process Managers, Operational Excellence Leads, Digital Transformation Managers, Change Managers, Board Members responsible for performance steering.
Summary
Outdated assumptions, static documentation, and intuition often shape decision-making, even as processes continue to change in practice. This webinar explains how fact‑based process insight, process mining, and integrated automation help translate operational data into strategic decisions. You learn how organizations reduce lead times by up to 40–50%, improve efficiency by 60–70%, and move from reactive management to proactive performance steering.
Speakers
 
 
Hans MulderAntwerp Management School
 
video Chapters
02:10
Why leadership lacks real process control
07:45
From AI hype to value-driven application
14:30
Using Process Mining to expose bottlenecks and non-compliance
31:20
Real-world impact: logistics, insurance, and utilities cases
In partnership with eraneos-logotype_RGB_black2500

 

From Guessing About Performance to Fact-Based Control

An overview of how organizations use process insight, automation, and integrated platforms to connect operational reality with strategic decision‑making.

solutions
Leadership Operates on False Asumptions

Many organizations rely on static process documentation, workshops, and manual effort to understand operations. In practice, processes evolve through workarounds, system patches, and undocumented decisions. This creates a false sense of control, delayed interventions, hidden bottlenecks, and compliance risks, while teams continue to firefight instead of improving structural performance.

problem-solving
AI Investments Fail Without Process Insights

Organizations feel pressure to adopt AI, automation, and agentic solutions. Without clear insight into current process performance, these initiatives become disconnected experiments. Similar to earlier RPA waves, applying technology without context leads to failed business cases, wasted budgets, and organizational fatigue. Insight‑driven prioritization is no longer optional if AI is expected to deliver measurable value.


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From Reactive Management to Proactive Steering

The shift is from incident‑driven response toward continuous monitoring and performance steering. Fact‑based visualization of throughput times, bottlenecks, and deviations enables organizations to predict outcomes, prevent issues, and manage processes as living systems. This approach directly supports compliance, operational resilience, and data‑driven decision‑making at scale.

not-equal
Integrated Control Towers Accelerate Impact

The webinar shows how integrated platforms combine process documentation, mining, automation, and analytics into a single operational cockpit. Real examples demonstrate lead‑time reductions of 40–50% and efficiency gains of 60–70%, achieved within months rather than years by focusing on one lighthouse process before scaling across the organization.

“You have to stop guessing and start knowing how
your processes ar running.

FAQ's

Why is process insight essential before applying AI?

AI can only add value when it addresses a clearly defined process issue. The webinar explains that without insight into actual process behavior, AI becomes a random experiment rather than a targeted improvement tool. Fact‑based analysis identifies where automation or AI makes operational and financial sense.

What concrete results were achieved in real organizations?

Examples include a logistics organization reducing delivery lead time by 40%, and an insurance claims process improving efficiency by 60–70% while reducing throughput time by 50% through targeted automation based on process insight.

How should organizations start with process insight?

The recommended approach is to start small with one “lighthouse process.” Demonstrating fast, visible value builds trust, reduces change fatigue, and creates a repeatable playbook that can later be scaled across multiple teams and processes.

What role does leadership play in this transformation

The webinar stresses that sustainable transformation must be supported by the board. Strategic decisions based on assumptions limit impact, while fact‑based insight enables leadership to steer performance, prioritize initiatives, and foster a culture of continuous improvement.