Executive leadership session

AI-Native Executive Workshop

Practical frameworks that help leaders convert AI investment into enterprise performance.

Exclusive half-day executive sessions in Sydney and Melbourne led by senior AI transformation leaders including Laks Srinivasan and Craig McGuire.

AI adoption is accelerating. Organisations are investing in tools and pilots, yet few have redesigned governance, decision systems and delivery models to operate as AI-Native enterprises.

Technology alone will not deliver sustained advantage. Without executive fluency and structured guardrails, AI initiatives create duplication, risk and fragmented outcomes rather than measurable performance improvement.

This workshop equips leaders accountable for AI outcomes with practical executive frameworks to embed AI into strategy, governance and enterprise decision-making.

Executive workshop format

  • Half-day executive workshop
  • Small-group format
  • Designed for C-suite and senior transformation leaders

Locations: Sydney & Melbourne
Dates:

  • Sydney: May 4, 5, 6, 7
  • Melbourne: May 11, 12, 15

Executive workshop investment: $1,495

Limited seats to maintain executive discussion format

Why executive capability matters now

AI is no longer a technology initiative. It is an operating model shift.

Without executive clarity and alignment:

  • AI pilots multiply without enterprise coordination
  • Investment outpaces governance
  • Risk exposure increases
  • Performance gains remain isolated

The constraint is not tools. It is leadership structure.

Organisations that move first to embed executive fluency and structured governance will define the next performance frontier. Those that delay will struggle to translate experimentation into sustained advantage.

What you will gain

This workshop provides a practical executive framework for leading AI as an enterprise capability.

Participants will leave with:

  • A clear definition of executive AI fluency and what it requires
  • A structured approach to redesigning governance and decision systems
  • A model for aligning AI initiatives with measurable performance outcomes
  • Guardrails for responsible and scalable adoption
  • Greater clarity on investment priorities and risk management

The focus is strategic. The outcomes are practical.

Secure your seat

For leaders accountable for AI strategy, governance or workforce transformation. Secure your seat below.

About Laks Srinivasan

AI Transformation Leader | Scaled Agile, Inc.

Laks Srinivasan is a C-suite executive, entrepreneur and AI transformation leader with more than 25 years’ experience advising Global 1000 organisations on data-driven strategy and enterprise performance.

As Co-Founder of the Return on AI Institute, established alongside AI thought leader Tom Davenport, Laks works directly with senior leadership teams to move beyond AI experimentation and build measurable commercial return. His expertise lies in redesigning governance, operating models and executive decision systems so AI becomes a core business capability rather than a collection of pilots.

Formerly Chief Operating Officer at Opera Solutions and a senior leader at FICO, Laks has led AI initiatives from concept through to enterprise-wide deployment across commercial, government and non-profit sectors.

In this workshop, he shares the practical frameworks used by leading organisations to turn AI ambition into structured performance advantage.

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.

TOP