Someone accountable for turning AI noise into operating decisions. Senior judgement, on a fractional basis, by the operator behind a studio of AI-native ventures.
The CEO knows the business has to respond. The COO sees processes that could be rewritten. The CTO is wary of another layer of vendors and integrations. Legal and security worry about data leakage and accountability. Operating teams are already using AI informally, often without policy or measurement.
The result is predictable. Scattered pilots, overlapping tools, enthusiastic demos, nervous procurement, and no single person responsible for deciding what matters.
A live view of where AI creates value, what is worth pursuing, what should be deferred or killed. Tied to business outcomes, not model hype.
Most businesses overbuild. Some underbuild and end up trapped inside generic software. We say where SaaS is enough, where a workflow layer is required, and where proprietary infrastructure is justified.
AI vendors are easy to buy and hard to unwind. We review tools, renewals, pilots, and build partners against the real operating need. Not to block experimentation, but to stop it becoming unmanaged spend.
If AI systems are being built, configured, or integrated, someone has to translate between leadership intent, the people who actually do the work, and the technical choices on the table. We sit across that process and challenge scope creep. Most builds fail for reasons that are not technical. Nobody shadowed the work first, so the system breaks on day one against a rule no one had written down. The business logic is buried in code, so a manager who needs to change a threshold has to wait for an engineering release. There is no feedback loop, so the same mistakes repeat instead of training the next version. We make sure those things are handled before go-live, not discovered after it.
AI governance should not be theatre. Clear answers on data use, output approval, logging, escalation, and acceptable use. Proportionate to risk, usable by the teams that need to move.
A monthly read on the AI developments that matter to your business specifically. Model capability shifts, vendor changes, regulatory issues, workflow patterns. Tailored, not generic.
Energy and water sitting inside the operating decision, not bolted on as an ESG line at year-end. Vendor regions, model sizing, and workload routing reviewed alongside the cost and capability questions they belong with. Our environmental position →
This is for companies where AI is no longer theoretical, but where hiring a full-time AI executive would be premature. Especially useful for:
Most Fractional CAIO relationships begin with the Podium VS AI Audit. Three weeks of focused work that gives both sides a factual basis for the relationship: where AI matters, where it does not, what should be built, what should be bought. That diagnostic becomes the basis for the ongoing CAIO engagement. In some cases, where a business already has a clear roadmap and active initiatives, we can begin with a narrower diagnostic and skip the full audit.
After the audit, we agree a cadence that fits the business. Typically a monthly leadership session, ongoing review of AI initiatives, ad hoc decision support, vendor or build reviews, and a tailored executive briefing. No theatre. No standing committee for its own sake.
The relationship continues only while it creates value. We do not need to be in the room every week. We need to be in the room when the decisions matter: which initiatives move forward, which contracts to challenge, which builds need stronger product discipline, which new model capabilities change the roadmap.
The models commoditise a little more every quarter. The judgement about where to point them, and the discipline to make a build survive a real business, does not.
Most AI advice still comes from people who have not had to ship anything, integrate anything, manage edge cases, or live with the operational consequences of their recommendations. Podium VS is different. We build with AI, operate with AI, and use AI inside live ventures every day. AI-native ventures live, fourteen AI agents in place of conventional headcount, running on under 10% of conventional headcount cost.
Our bias is practical. If a tool is enough, use the tool. If a simple workflow layer solves the problem, do not commission a platform. If the data is not ready, fix the data before pretending the model is the issue. If the business does not need a full-time Head of AI yet, do not hire one to look sophisticated. If AI is not the right answer to a particular problem, we will say so. The role exists partly to prevent AI pilots with no route to production, vendor contracts that duplicate capability already available, and internal builds that should have been bought. And every build should leave you with something you can reuse, not a bespoke system only its author understands. Better decisions, not more AI activity.
We don’t advise on AI in the abstract. We build and operate AI ventures in the verticals where a wrong answer has consequences: legal, financial services, and health.
That means working inside the constraints that define those domains. Legal professional privilege. FCA and conduct rules. HMRC process. Clinical records that have to stand up to scrutiny.
In each, the model is the cheap part. The accountability around it, who reviewed the output and who is answerable when it’s wrong, is the product. It’s also the layer the frontier labs are structurally unwilling to build.
A fractional Chief AI Officer from Podium brings operator experience from exactly these spaces. Not a framework borrowed from a deck. The hard-won knowledge of how AI has to behave when the work is privileged, regulated, or clinical, and someone has to put their name to it.
A thirty-minute call. We will ask what the business is trying to understand, what AI activity is already happening, where the pressure is coming from, and whether the right next step is an audit, a Fractional CAIO relationship, a build, or none of those.
If we think we can help, we will explain what the engagement should look like. If not, we will say so and point you in a useful direction.
Thirty minutes. No obligation. Direct conversation with the founder.