The Invisible AI Supply Chain

The Invisible AI Supply Chain

AI has become one of the most accessible technologies a business has ever had access to. An SME today can sign up for an AI powered CRM, an accounting platform, a customer service chatbot, a cybersecurity tool or a document management system in a matter of minutes. More and more of these platforms now come with built in AI assistants and autonomous agents that can analyse data, generate reports, make recommendations and even carry out tasks on their own.

For a small or medium business, that's a genuine shift. Capabilities that used to be locked away in enterprise budgets are now sitting behind an affordable monthly plan. But there's an economic reality underneath all of this that very few organisations are actually talking about, the cost of AI doesn't stop at the subscription fee.

Every interaction has a cost attached to it

Traditional software is largely a fixed cost. AI isn't. Every prompt you submit, every document your AI assistant analyses, every conversation held with an agent, every workflow it runs on your behalf, all of it consumes tokens, processing power and inference capacity somewhere in the background. And someone is paying for that somewhere.

As AI adoption grows, this creates a real challenge for the software vendors selling you these tools. Their infrastructure costs rise in direct proportion to how much you use the product. Which leads to an odd and slightly uncomfortable truth, the more value you get out of an AI tool, the more expensive you become for that vendor to support.

This is unit economics, and it's quietly starting to reshape how AI products get designed, priced and delivered to the market.

Agents change the equation entirely

The next wave of AI isn't a chat window you type a question into. It's agents. Rather than asking AI one question at a time, organisations are now deploying

, draft reports, track compliance, respond to incidents and coordinate entire business processes without anyone prompting them to.

A single agent can run hundreds, sometimes thousands, of model interactions a day without a human touching it. Multiply that across every business application where you've deployed one, and you're no longer occasionally using AI. You're running an AI workforce.

That's a genuine productivity gain. It's also a genuine increase in how dependent your operations have become on external AI providers, whether you've registered that or not.

AI Agents change the equation entirely

The supply chain you probably haven't mapped

Most SMEs believe they're buying software from one vendor. In practice, that vendor is usually sitting on top of a much larger stack. An AI model provider, one or more cloud infrastructure providers, identity services, data storage, vector databases, monitoring platforms, content moderation services, and so on.

Your vendor manages all of those relationships. Your business depends on every single one of them anyway, whether you know their names or not. That's a new category of third-party dependency, and right now it's largely invisible to the organisations carrying it.

When AI becomes part of how you operate

Once AI is woven into daily operations, a handful of uncomfortable questions start to matter. What happens if your AI provider raises its prices significantly? What if usage limits get tightened? What if the service goes down for an extended stretch? What if your software vendor introduces new caps because their own costs have gone up?

None of these are IT questions anymore. They're business continuity questions. For a growing number of SMEs, critical processes will soon run through AI services delivered by multiple third parties, and in many cases the organisation won't even know who those providers are.

Why TPRM has to catch up

Third Party Risk Management has traditionally focused on cybersecurity, privacy, financial stability and regulatory compliance. All of that still matters. But AI adds a dimension that most TPRM programmes weren't built to see.

Organisations now need to understand which business services actually depend on AI, which suppliers are providing those AI capabilities, which model providers those suppliers rely on in turn, how critical that AI has become to day to day operations, and whether a genuine alternative exists if pricing, availability or commercial terms shift under them.

Visibility into that chain is becoming just as important as understanding your cyber controls ever was.

From vendor risk to AI dependency risk

The organisations that get real value from AI over the next decade won't be the ones who simply picked the best tools. They'll be the ones who understood their AI ecosystem: where it sits inside critical processes, how concentrated their dependency has become on a small number of external providers, and whether their key suppliers can actually adapt if pricing changes or new models come along.

Most importantly, they'll treat AI as a strategic dependency in its own right, not just a feature bolted onto software they already trusted.

The opportunity underneath the risk

SMEs are actually well placed here. They can adopt new technology faster than large enterprises ever could. But that speed shouldn't come at the cost of visibility.

As AI works its way into outsourced services, software platforms and autonomous agents, there's a question every organisation should be able to answer: “Do we know who our AI suppliers really are, and what would happen if they changed?”

The businesses that can answer that honestly will be the ones who scale AI with confidence, manage the commercial risk that comes with it, and stay resilient as the economics of AI keep shifting underneath everyone's feet.

AI may well be one of the biggest productivity accelerators SMEs have ever had access to. But like every capability that becomes critical to how a business runs, it brings new dependencies with it. Understanding those dependencies is quickly becoming one of the more important competitive advantages an organisation can build.

Start by Understanding Your Dependencies

Before you invest in another AI tool, it's worth pausing to understand the AI dependencies you already have.

If you can't confidently answer questions like which business services depend on AI, which suppliers are using AI on your behalf, or what would happen if one of those services became unavailable or significantly more expensive, that's usually a sign it's time to map those dependencies properly.

This is where our Third-Party Risk Management platform, VenDefend, helps provides visibility into the business services, processes, systems and data that each supplier supports, making it easier to understand where AI has become embedded within your operations. By mapping supplier dependencies and assessing the criticality of each relationship, organisations can identify hidden concentrations of AI risk, evaluate the potential impact of service disruptions or pricing changes, and make more informed decisions before those risks affect the business.

Sometimes the most valuable step isn't adopting more AI. It's understanding the AI you already depend on.