An experienced advisor on the buyer's side of the table.
Twenty‑two years leading workforce, talent, and AI modernisation programmes across ASX Top 200, Fortune 500, and mid-market enterprises — strategy, operating model, technology selection, change at scale. Senior expertise from the business case to benefits realisation.
Most AI and workforce tooling is sold by capability, not by the outcome it produces. These maps start from the other end — for each function, the outcomes that matter to the business, and where AI, design, and redesign move them.
Your teams know the business. Our job is to structure that knowledge and bring the frameworks that turn it into decisions — what to automate, what to offshore, what to keep internal or hand to partners, and where to skill and reskill.
Tap any function for its outcome map. Use them to frame sponsor conversations, sanity-check vendor pitches, and sequence the investment.
After a year of agentic AI in the enterprise, McKinsey's first lesson is the one this method is built on: focus on workflow, not agent. Redesign end-to-end processes before deploying isolated tasks. Their conclusion: “Agentic AI requires hard work — it demands workflow transformation, not just tool deployment.”
Capacity lifts. Cost falls. AI deploys with the guardrails on. The people doing the work end up energised rather than anxious. And the numbers land for the board.
When you want a fast read before committing to a programme.
A fast, agile first read across people, process, and technology, and where modernisation pays off. Low-commitment and quick to run — the honest first move before a fuller programme.
When you know AI matters — but not what to do next.
An outside-in view across people, process, and technology — current-state and friction mapping, journey and service blueprints, a tech-stack review, and a work-and-skills analysis. We prioritise the opportunities on a heat map and set an AI-readiness baseline, so you know what’s worth fixing first and where the value sits over the next eighteen months.
When the case must land.
Where to invest, why, and what it returns, with each capability tested through the 5B lens — build, buy, borrow, bot, bundle. We model the ROI and the scenarios, build the coalition and governance to carry it, and sequence the roadmap. The output is a defensible, board-ready business case and investment thesis: the numbers, the scenarios, and the cost of inaction.
When the operating model is the answer.
The future-state operating model, workflows, roles, and experiences, designed before anything is built. Every task runs through the 4R lens — remove, reduce, reallocate, redesign — as we redesign the jobs and skills architecture, set the human–AI work boundaries, and close the skills gaps. This is where roughly seventy percent of AI value actually lands.
When the stack is the question.
Solution architecture, reference blueprints, and integration — built once and deployed deliberately. We select and oversee the build team, run build management and assurance against a clear delivery cadence and milestones, and design and pilot the AI agents. These are architecture and platform decisions the board can sign, not a vendor pitch contest dictating the answer.
When the rollout is the moment.
The change narrative and stakeholder strategy, a readiness and force-field analysis, then training, comms, and a champion network. Employee AI Black Belts and behavioural design carry it into the day-to-day. This is the half of every transformation that’s usually under-resourced, and where transformations live or die.
When the work needs to stick.
Baseline and pre/post metrics, value-tracking governance, and performance dashboards, backed by benefit-realisation audits. The result is proof the change paid off, and a reinvestment-and-scale roadmap that carries momentum into the next wave.
“The mindset we as leaders should have is, we need to think about changing the work — the workflow — with the technology.”
The 4R framework is adapted from Professor Sharon K. Parker's SMART Work Design research at Curtin University.
From the business case through the audited benefit.
One accountable seat.
A 60‑minute scoping conversation is complimentary.