Turn AI investment into competitive advantage.

An executive guide for leaders accountable for AI strategy, governance and enterprise performance.

The AI performance gap is widening.

Artificial intelligence represents a generational opportunity to reshape how organisations create value. Yet most enterprises remain stuck between experimentation and measurable returns.

Significant investment is being made. Pilot programs are expanding. But very few initiatives translate into sustained bottom-line impact.

The challenge is not the technology. It is the absence of operating models, governance clarity and executive fluency required to embed AI as a core business capability.

Drawing on more than 25 years of enterprise transformation and executive advisory experience across government and commercial sectors, PM-Partners has observed this pattern repeatedly: capability, not tools, determines advantage.

The AI-Native executive guide introduces a practical blueprint for leaders seeking to close that gap.

What this executive guide delivers

Inside the guide, you will gain:

  • A clear explanation of the AI chasm and why most AI initiatives stall
  • Insight into the common failure modes that prevent value realisation
  • The four elements of the AI-native organisation model
  • The eight critical leadership decisions required to convert AI investment into measurable performance

This is not a technical manual. It is a strategic framework for executives responsible for enterprise outcomes.

The guide is brought to market in Australia by PM-Partners, a trusted enterprise transformation partner to executive teams.

Guided by leaders shaping AI transformation globally

This executive guide draws on the work of Laks Srinivasan, AI transformation leader at Scaled Agile and co-founder of the Return on AI Institute.

Laks advises C-suite leaders across global enterprises on how to move beyond AI experimentation and embed AI as a driver of competitive advantage. With over 25 years of experience leading AI, analytics and enterprise transformation initiatives, he bridges the gap between technological potential and measurable business performance.

His work has been featured in Harvard Business Review and MIT Sloan Management Review, and he has led enterprise AI initiatives across commercial, government and non-profit sectors.

Access the AI-Native Executive Guide

Download the AI-Native Executive Guide to move from AI ambition to enterprise advantage.

From insight to execution

Executives download the guide because they want clarity. The next step is execution.

The AI-Native Executive Guide outlines the leadership and operating-model shifts required to convert AI investment into enterprise performance.

For senior leaders ready to move beyond insight and begin shaping how their organisation will operate as an AI-Native enterprise, we will be hosting a small number of AI-Native Executive Workshops in Sydney and Melbourne this May.

Further information about the workshops and the facilitators can be found below.

AI-Native Executive Workshop

For senior leaders ready to move from insight to execution, a small number of private AI-Native executive workshops will be held in Sydney and Melbourne in May.

These half-day sessions are designed for C-suite and senior transformation leaders responsible for AI strategy, governance and enterprise outcomes.

Building on the concepts outlined in the executive guide, the workshops explore practical leadership frameworks to:

  • Align AI investment with enterprise value
  • Establish governance and decision guardrails
  • Move from pilots to scalable operating models

To maintain executive discussion quality, seats will be limited.

View workshop details:


https://www.pm-partners.com.au/ai-native-executive-workshop/

About Laks Srinivasan

Laks Srinivasan is a globally recognised AI transformation strategist and founder of the Return on AI Institute. He works with executive teams and boards to help organisations move beyond AI experimentation and into structured, enterprise-wide capability.

With a background spanning technology, operating model design and large-scale organisational transformation, Laks specialises in helping leadership teams redesign governance, decision rights and delivery systems to operate as AI-Native enterprises. His work focuses on executive fluency, measurable value creation and responsible adoption at scale.

Laks has advised senior leaders across financial services, healthcare, technology and government on how to embed AI into strategy rather than treat it as a standalone initiative. He is known for translating complex AI concepts into practical executive frameworks that clarify risk, investment priorities and workforce implications.

Rather than focusing on tools alone, Laks helps organisations re-engineer how work flows, how decisions are made and how performance is measured in an AI-enabled environment. His approach combines strategic rigour with commercial pragmatism, ensuring AI investments are aligned to business outcomes, governance requirements and long-term competitive positioning.

Through executive workshops and advisory engagements, Laks equips leaders with the structure, language and confidence required to lead AI transformation responsibly and sustainably.

craig-purple

About Craig McGuire

AI strategist and former CEO

Craig McGuire is an experienced C-suite leader, AI strategist and executive adviser who works with boards and leadership teams to move organisations from AI experimentation to practical, accountable execution.

He advises enterprise leaders on designing human-centric, value-focused AI operating models that link strategy, governance, decision rights and organisational capability. His work helps organisations protect the core business while unlocking innovation, ensuring AI adoption translates into measurable performance rather than fragmented activity.

Drawing on more than 20 years of international experience across public and private sectors, Craig supports executive teams in building the fluency required to govern AI responsibly, embed clear accountability and redesign operating models for disciplined, scalable delivery.

He focuses on equipping leaders with a shared language and structured frameworks that connect intent to execution, enabling AI to operate as a managed enterprise capability rather than an isolated initiative.

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