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AI for Delivery — A Practical Framework


The AI for Delivery framework is a structured approach to applying AI selectively within IT project execution.

It focuses on improving reporting efficiency, risk awareness, and communication quality — while keeping governance, accountability, and decision-making firmly human-led.

This service is delivered as a controlled pilot, ensuring value is validated before any broader adoption.


The Challenge


         Organizations often struggle when multiple initiatives run in parallel:

  • Project status is fragmented across tools and emails

  • Risks surface too late, when options are limited

  • Executives receive long updates but lack clarity

  • Project Managers spend more time reporting than managing


  • The result is loss of control, not lack of effort.

The Solution - Delivery Control Dashboard


  • RAG status for every active project
  • Schedule impact in plain language
  • Primary risk per project (no noise)
  • Clear recommendations
  • Portfolio risk themes across all initiatives
This replaces long status reports
with clarity and confidence.

How It Works

1

Portfolio Setup

  • Define active projects and delivery objectives
  • Agree on success criteria and escalation thresholds
  • Establish a clear governance boundary

2

Weekly Delivery Control

  • Consolidate project updates across all initiatives
  • Assess status, schedule impact, and delivery risk
  • Identify the single most critical risk per project

3

Decision-Focused Reporting

  • Maintain one portfolio-level control dashboard
  • Highlight cross-project risk patterns
  • Provide clear, actionable recommendations

4

Executive Oversight

  • Deliver concise executive summaries
  • Flag decisions required from leadership
  • Ensure early intervention — not late escalation

Bring clarity and control to your delivery portfolio

If you need confidence, visibility, and early warning across your initiatives, let’s talk.

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