Two years and a large budget into the AI program, most companies cannot say what it bought.
The reason is not the technology. It is that nobody owns the question. Legient gives the executive on the hook for the answer an independent read on why the money went to the layer where AI was easy, and what has to change at the layer where the returns live.
THE INSIGHT
AI went where the work was easy to see. The returns live where the decisions get made.
In McKinsey's 2026 survey, nearly nine in ten organizations report regular use of AI in at least one business function. Thirty-seven percent can attribute any enterprise-level profit impact to it, and six percent can show significant value, a share that has not moved in a year. Gartner expects more than forty percent of agentic AI projects to be cancelled by the end of 2027, on cost, unclear value or inadequate controls.
Read those numbers for what they are. Not a story about immature technology. What happens when capability arrives in an organization that has nobody accountable for turning it into value.
The pattern is consistent across large companies. AI was deployed first at the layer where the work is routine, visible and easy to automate: coordination, reporting, document production. Adoption went up and got reported as a result. The returns that were promised live at the layer where the organization decides what to fund, what to stop and what to do with the capacity that was created. Leadership decides, the business owns the outcome, and someone has to make sure neither disappears after delivery. In most organizations, no one does.
Closing that gap is not a technology project. It is an operating model problem, and it has a small number of structural causes that can be named in three weeks.
Strategy before delivery.
AI fluent.
Function native.
Most clients start with the diagnostic and stop there, because the answer was the point. For the ones where the read surfaces a rebuild, three engagement shapes follow.
01 • ENTERPRISE PMO
TRANSFORMATION
Rebuild the function that owns the answer.
For organizations standing up, rebuilding, or modernizing their PMO function. Current-state assessment, future-state governance design, methodology framework, AI augmentation strategy, executive roadmap.
Fixed-fee engagement, 8 to 16 weeks.
03 • FRACTIONAL CPO & EXECUTIVE COACHING
Senior PMO leadership without the full-time hire.
For enterprises needing embedded senior PMO leadership and for individual leaders investing in their own AI fluency.
Monthly retainer, 6-month minimum, two variants: full Fractional CPO or one-on-one executive coaching.
02 • PORTFOLIO GOVERNANCE & VALUE DELIVERY
Evolve the PMO you already have.
For established PMOs ready to move from coordination engine to value-stream governance. Portfolio model redesign, AI augmentation of intake and prioritization value measurement framework, executive dashboards.
10 to 16 weeks.
THE DIAGNOSTIC
The AI Value Realization Diagnostic
Three to four weeks. Fixed fee. An independent answer to the question you have been asked.
For the CIO, CTO, COO or AI executive who has been asked what the investment produced and does not yet have a defensible answer.
We establish what was spent and what was promised. Whether anyone measured before and after. Where the capability actually took hold in the work, and where it did not. Who owns the answer today, and why that person cannot produce it. And what has to change in the operating model for the next funding decision to be made with better information than the last one.
You get a written read you can put in front of a board, a named list of the structural causes, and a sequence for closing them. No vendor fee, no vendor implementation revenue, and no stake in what the answer turns out to be.
WHAT COMES AFTER
Where Legient Works
We work with the executives accountable for AI investment inside large financial services and healthcare organizations, where the spend is real, the regulatory pressure is real, and the question has a deadline.
FINANCIAL SERVICES
Banks, insurers, capital markets and wealth management firms where AI spend is board-visible, regulatory scrutiny is rising, and someone has been asked what it produced.
HEALTHCARE
Health systems and payers where AI has been deployed at the bedside and in the back office, adoption is being reported as results, and nobody has yet measured the before against the after.
Why Legient
1
Built PMOs From Scratch
20 plus years building enterprise PMOs from inception. Pearson. Hitachi Consulting. Point B. This is not theoretical advisory; this is the work I have personally delivered at Fortune 500 scale. I know what the function looks like from the inside, which is why I can tell you in three weeks why it cannot answer your question.
2
Strategy Before Delivery
PMO rebuilds fail for the same reason AI initiatives fail. Technology gets selected before strategy is established. Legient brings the strategic methodology first, every time.
3
Independent by Rule
Legient does not earn an undisclosed fee on any recommendation.
Legient's tool and platform recommendations are made on the merits and in the client's interest. Legient operates under a clear two-role rule, and the two roles never both apply to the same tool decision for the same client.
When Legient runs an independent tool or platform selection for a client, it acts solely as an independent advisor and accepts no referral fee or commission from any vendor in connection with that client, even where the tool it recommends is one Legient partners with elsewhere.
Where Legient instead participates in a disclosed joint pursuit or co-sell alongside a technology partner, it discloses that relationship to the client in writing before the client commits, including the referral economics, and does not present the partner's product as an independent recommendation.
Legient does not earn an undisclosed fee on any recommendation.