The Executive Study Group (ESG) webinar named “From
AI Adoption to Enterprise Impact” was held by Asia Pacific Institute for
Strategy Limited (APIFS) on 26th Aug 2026. Generative AI has moved
faster from technological curiosity to boardroom agenda. AI usage can rise rapidly
while financial performance barely moves. The webinar aims to discuss four disciplines
that drive enterprise value.
In the beginning, Dr. Mark Lee mentioned uncomfortable contradiction
that is task-led improvement and enterprise value. Most companies fall into the
“Micro-productivity Trap” when introduced AI. The old processes remain
unchanged.
He explained the bottleneck still there (e.g. manual approvals).
Speeding up one link in a tangled network doesn’t just fail to help.
Most of company implemented GenAI asked wrong question rather than right
question. It is different between experimentation and transformation. Value is
created not because employees receive a smarter tool, but because companies
redesign “Revenue Generated”, “Customers Served’, “Decisions Making” and “Work
Move Across Boundaries”.
And then Dr. Mark Lee gave a quick poll to us “Where are you on the
micro-productivity trap?” Most participants selected “Just Getting Started”
(43.3%) and “Stuck at the Task Level” (35.2%).
After that he discussed four disciplines/principles that drive AI
transformation including “Narrow Strategically”, “Reimagine Workflows”, “Engage
Frontline” and “Measure Outcomes”.
For Narrow Strategically, he quoted the portfolio selection framework
with four factors included “High Economic Value”, “Technological Feasibility”, “Organizational
Readiness” and “Strategic Differentiation”.
Another AI prioritization criteria employed by Lowe included “Technology
Maturity”, “Scale of Opportunity”, “Readiness for Change” and “Risk Assessment”.
For Reimagine Workflows, it separated into “Automation” and “Redesign”. Then
he quoted Siemen’s redesigning their engineering work.
And then he consolidated the rule that value lives between boxes from
traditional approach to AI transformation approach.
After that Dr. Lee conducted a survey of us, asking which obstacle was
closest to our home. The number one obstacle was “No one owns the End-to-End”
(34.2%).
For Engage Frontline, it is because frontline employees know data
reliability, customer pain points, valueless approvals and information gaps.
He used BBVA as example that implemented governance first, AI wizards
and leadership participation.
Finally, Dr. Mark Lee concluded that both bottom-up and top-down
approaches were applied.
The final principle is to “Measure What Matters”, including activity
metrics and business results.
Actually, he mentioned to measure both business performance and system
performance.
He quoted Lowe again and showed its’ measurement process that is continuous
evaluation loop.
Lastly, he surveyed us about the biggest challenge for implementing GenAI.
The distribution was even.
At the end, Dr. Mark Lee concluded that the management logic is
consistent covered “Focus”, “Redesign”, “Mobilize” and “Measure”.
