The Digital Transformation Playbook · 2026-05-21 · 16 min
AI can speed up individual tasks, but faster activity does not always create better business performance. This episode examines why meaningful AI value comes from redesigning workflows around outcomes, constraints, decisions, and accountability. It explores how leaders can avoid automating inefficient processes. TLDR/ At a Glance • Workflow redesign over task acceleration • Cycle time, handoffs, and bottlenecks • Human judgement and AI role clarity • Autonomy matched to risk • Metrics beyond adoption and usage • Governance embedded in operations If AI is making everything faster, why does work still take forever? The uncomfortable answer is that most organisations use AI to accelerate tasks inside the same broken process, then wonder why cycle time, quality, and customer outcomes barely change. We unpack the difference between task productivity and workflow performance, and why “faster drafting” can still leave you waiting days for reviews, approvals, escalations, and missing information to be chased down.
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