Your board is asking why AI investment hasn't moved the needle. If that's where you are — you're in the right place.
The AI Transformation Diagnostic™ is a structured, evidence-based assessment across eight organizational dimensions. It identifies where AI investment is stalling and what structural interventions will unlock performance. Complete the form — a founding partner responds within one business day.
"Fewer than 1% of executives report significant ROI from their AI investment — not because the technology failed, but because the leadership, organizational and governance layer wasn't built to support it. That's the problem Octant solves."
Maria Chaloux is an executive search and leadership advisory professional with more than two decades of experience advising CEOs, boards, and investors on the leadership decisions that determine enterprise performance. She began her career in institutional investment banking, where she was trained to evaluate companies through the lens of performance — assessing leadership, strategy, capital allocation, and operating discipline under real market pressure. She later joined a venture-backed technology company as a commercial executive, helping scale the business to 600 employees, raise over $100 million in private capital, and prepare for IPO. That experience operating inside a high-growth environment reinforced her focus on performance at the leadership level — not just how companies are valued, but how leadership decisions translate into execution and results. She carried that same analytical rigor into executive search, applying an investor-grade lens to evaluating leaders based on their ability to drive enterprise outcomes. Across multiple firms she founded and led, she developed a disciplined approach to executive assessment grounded in mandate clarity, operating context, and measurable performance. In 2012, she was recruited to Accenture Federal Services to build and lead the firm’s executive talent function. Over eleven years, she partnered directly with the CEO and COO, personally recruiting and placing every Managing Director and Partner as the organization expanded from approximately $1 billion to $5.5 billion in revenue. In 2018, when AFS committed to AI market leadership, she was tasked with building the AI practice leadership team from the ground up — including recruiting Dr. Ian McCulloh as Chief Data Scientist — and spent four years scaling the leadership organization to support a practice that grew to 1,200 professionals and $1.5 billion in revenue. Today, as Founder and Managing Partner of Octant Advisory, Maria leads AI Leadership Search, Executive Leadership Assessment, and Organizational Design. She advises organizations on aligning leadership, governance, and operating models to ensure AI investment translates into sustained enterprise performance. She began in institutional investment banking, then joined a venture-backed technology company where she helped scale the business to 600 employees, raise more than $100 million in private capital, and prepare for IPO. She later built multiple search firms before being recruited to Accenture Federal Services to lead the executive talent function, where she partnered with the CEO and COO as the organization grew from approximately $1 billion to $5.5 billion in revenue. In 2018, she built the AI practice leadership team from the ground up — including recruiting Dr. Ian McCulloh as Chief Data Scientist — and spent six years scaling the leadership organization around a practice that grew to 1,200 professionals and $1.5 billion in revenue. At Octant Advisory, Maria leads AI Leadership Search, Executive Leadership Assessment, and Organizational Design.
A founding partner will be in touch within one business day. We look forward to the conversation.
If you are an experienced AI executive exploring your next opportunity — whether a permanent C-suite role, a fractional engagement, or a board-level advisory — Octant wants to hear from you. We work with organizations that are serious about AI leadership, and we place executives who have the track record to deliver it.
"The best AI leadership opportunities rarely surface publicly. If you have led AI at scale and you're open to what's next, I want to know who you are before the opportunity arises — not after."