A recent piece in CFO Dive Sets out four questions finance chiefs should be asking about their agentic AI initiatives, starting with a blunt one: is the AI infrastructure actually cost-effective once it is built into financial planning. That question alone tells you something. Agentic AI, the kind of system that does not just answer questions but takes actions on a business's behalf, has moved from a pilot curiosity to a line item that finance has to own. The framing in the piece is squarely a CFO's job: cost, control, and planning discipline applied to a technology that is still new enough to be poorly understood by the people signing off on it.
What this means
For a founder-run business or a private equity portfolio company, the same four questions apply with more force, not less. A large corporate can absorb a badly costed AI pilot and quietly retire it. A $5 million turnover business cannot afford to discover, eighteen months in, that its agentic AI tools have been running up cloud and licensing costs nobody budgeted for, or making decisions nobody can trace back to a rationale. The uncomfortable truth is that most SMEs adopting AI assistants right now have no answer to CFO Dive's questions, because nobody has been asked to own them. There is rarely a finance director with the bandwidth to stress-test an AI vendor's cost model, and rarely a governance process that would catch an assistant acting outside its remit. That gap is exactly where deals get harder to underwrite and businesses get harder to sell.
The wider picture
Agentic AI is spreading faster than the governance and cost discipline around it, which is a familiar pattern in technology adoption cycles: the tooling gets easier to buy before the controls catch up. Vendors are keen to sell agentic capability as a productivity win, and it often is, but the commercial terms, the usage-based pricing, and the audit trail for what an autonomous system actually did are frequently an afterthought bolted on later. For lower mid-market businesses this matters because buyers, lenders, and investors are starting to ask about AI exposure during diligence in the same way they ask about cybersecurity or data protection. A business that has adopted agentic AI without a clear view of its running cost or its decision trail is carrying a new category of risk that was not on the balance sheet three years ago, and it needs to be priced, managed, or explained before someone else asks the question first.
How we think about it
Our approach starts with an AI readiness assessment: a structured look at where a business is actually using or considering agentic tools, what those tools cost to run against what they save, and where the decision-making authority sits. We map the assistants against the processes they touch, whether finance, operations, or customer-facing work, and check whether each one has a clear owner, a defined boundary on what it can do without human sign-off, and a log of its actions that would stand up to a lender's or an acquirer's scrutiny. Where a business is ready to deploy or extend its use of AI assistants, we help build that governance in from the start rather than retrofitting it: sign-off thresholds, audit trails, and a plain-English record of what the system is trusted to do on its own. The aim is not to slow adoption down. It is to make sure adoption survives contact with a diligence process.
Where we can help
If you are a founder or an operator inside a portfolio company wondering whether your AI initiatives would survive an outside look, that is precisely the question we help answer. We work with businesses across the lower mid-market, roughly $5 million to $50 million in deal or revenue terms, to get a clear, honest picture of their AI cost base and control environment before it becomes someone else's finding during a sale process or a funding round. That means fewer surprises at diligence, a defensible answer to a lender's questions, and an AI programme that adds value rather than undisclosed risk.
CFO Dive's four questions are a reasonable checklist, but the better use of them is to answer them honestly before an investor, lender, or acquirer asks first, and to keep the evidence to prove it. If you want your firm AI-ready, safely, Book a consultation.
