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Free Lesson

Accuracy Is Not an Outcome: The Dashboard Lie

Hosted by Hussam Ahmad

Wed, Oct 7, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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How to Diagnose and Overcome the Five Critical Dysfunctions of AI Transformation
Hussam Ahmad
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What you'll learn

Tell Output Metrics From Outcome Metrics

Separate model accuracy from revenue lift, cost reduction, and decision quality — and know which ones to manage.

Build an Outcome-First Dashboard

Design a review rhythm where business KPIs come before any technical metric — and what to do when they disagree.

Write Kill Criteria That Actually Kill

Define shutdown conditions upfront ('we stop if X doesn't move by Y') so failing initiatives die before draining budget.

Why this topic matters

Run AI as a project and success is measured in delivery dates, accuracy, and feature completeness. A 94% accurate model that moves no business metric is a failed investment in a success costume. This is Dysfunction 5: Inattention to Outcomes, fed by every layer below. Teams celebrate green dashboards while the P&L stays flat, because nobody defined 'working' upfront. You leave with rituals that measure what matters — and kill what doesn't.

You'll learn from

Hussam Ahmad

AI Transformation, Leadership & Product Excellence and OKR Coach

AI transformation advisor and OKR coach, working with leadership teams on organizational readiness for AI. Developer of the Five Dysfunctions of AI Transformation framework and the AI

Transformation Health Check diagnostic. Diglab is currently running the first pilot sessions with select leadership teams — participants in this early phase shape the framework directly and receive preferred pilot terms.

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