Your lead investor wants a board. They have their own seat and they want two or three independent directors alongside them. You have 90 days to put this together before the first formal board meeting, at which the investor will be evaluating whether the governance structure they just funded is fit for purpose.
The instinct — and it is a reasonable one — is to look for the most credentialed people you can find: a successful founder from your sector, a senior executive from a company you admire, an academic with relevant expertise. These are not wrong criteria. They are insufficient ones.
The governance-relevant question is not “who is credible.” It is “what does this board need to be able to do, and does the composition give it the capability to do it.”
What a Series A board needs to be able to do
The functions a Series A board needs to perform are more specific than the general governance responsibilities that apply at any scale.
Evaluate and approve the AI strategy without deferring to the CTO. If your company is building or deploying AI — which is true of most Series A companies in 2026 — the board’s ability to govern AI strategy is not a future consideration. The CTO’s first AI deployment proposal to the board will happen within twelve months of the Series A close. If the board cannot evaluate that proposal on governance terms — not just on the CTO’s recommendation — it is not governing the company’s AI risk.
Provide the commercial credibility that a founding team with a technical background cannot. Most deep tech Series A companies have founding teams with strong technical credentials and limited commercial track records. The board’s independent directors should complement that gap: someone who has been through the commercial scaling of a technology company, who has operated in the sectors you are selling into, or who has been on the buy side of the decisions your customers are making. This is the director the CTO trusts, because they speak the same language. It is also the director the CFO needs, because they can evaluate commercial risk.
Provide governance accountability that gives institutional investors confidence. The lead investor who wrote the Series A cheque will show your board composition to their LP advisory committee. The LPs want to know that the company they indirectly own is governed by people with genuine accountability experience — not just impressive LinkedIn profiles, but a track record of making and standing behind governance decisions.
What ‘AI-credible’ means for a Series A board
“AI-credible” for a board director does not mean technically expert in AI. Your CTO, your engineering team, and your advisors provide that. What it means for a board director is:
They can distinguish a credible AI governance proposal from a performative one. When the CTO presents an AI deployment with a human oversight section that describes a process without specifying who is doing the oversight, against what criteria, with what authority to intervene — the AI-credible board member recognises this as incomplete and asks for specifics.
They understand the EU AI Act’s board-level obligations. Not as a legal expert — that is external counsel’s job — but sufficiently to know which Annex III categories are relevant to the company’s deployments, what the August 2026 enforcement window means for the board’s approval obligations, and what “good enough” compliance looks like for a company at this scale.
They have operated a system where something AI-adjacent went wrong, and governed the response. This is the experience most boards lack and most founders undervalue at the appointment stage. The director who has been in a governance seat when a technology system failed, and who has managed the response, the stakeholder communication, and the root cause review, is significantly more valuable in an AI governance crisis than the director who has studied AI governance academically.
The composition gap most Series A boards have
A typical Series A board of five to seven members might include: two or three investor-nominated directors, the founder CEO, possibly a COO or CTO, and two independent directors selected for sector credibility and fundraising value.
The governance gap is usually the same: no director with technology governance experience in a domain adjacent to AI risk. The sector-credible independent director is excellent on the commercial questions. The investor representatives are excellent on the financial and strategic questions. Nobody is particularly well-placed to ask the governance questions when the AI strategy presentation arrives.
The result is that the AI strategy is approved on commercial and strategic logic, with the AI governance question either deferred (“we’ll address governance as we scale”) or delegated to the CTO (“the executive team will maintain oversight”). Neither is a governance structure. Both are ways of approving a decision without assuming the governance accountability that comes with it.
What to look for in the independent director appointment
The independent director who fills this gap has a specific profile: operational experience in a technology company that deployed AI or operated complex software systems at scale, combined with board-level accountability experience — not just advisory experience.
They have been in the room where the CTO presented a technology proposal and asked the governance question that changed the decision. They have overseen a technology incident response from a board seat. They have approved a compliance position and carried the board-level accountability for it.
They may or may not have a PhD in machine learning. That is not the criterion. The criterion is whether they will, consistently and reliably, bring the governance question into AI conversations rather than allowing them to remain technical discussions.
The fastest way to assess this in an interview: ask them to describe the last AI-related board discussion they were involved in. Were they asking the governance questions or answering the technical ones? The answer reveals their disposition.
For founders and Series A companies building the governance structures and board composition that gives institutional investors confidence, Steven advises on AI governance frameworks and board advisory composition as an independent technology board advisor. Contact Steven directly to discuss your situation.
