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Founders Do Due Diligence On Everything. Except, Weirdly, The AI Tools That Touch Their Money.

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Founders are professional due-diligence machines. Before a hire, references get called. Before an integration, the API docs get read. Before a fundraise, every line of the term sheet earns an argument. And yet the same founder will connect an AI trading tool to a funded account on the strength of a landing page and a Trustpilot score – because it was marketed as a productivity decision rather than a financial one.

AI tools that touch money deserve the vendor-selection process, not the app-download process. The good news: you already know how to run it.

Run it like procurement, because it is procurement

Ask the questions you would ask any vendor. Who is the company – real names, real jurisdiction, real regulatory position? In the UK, most AI trading tools are unregulated software vendors sitting on top of a regulated broker; that split matters, because the software carries none of the protections and all of the access. Where is the SLA equivalent – published live results, not backtests? What is the pricing model really – a subscription is clean, while per-trade or commission-based revenue means the vendor is paid for your activity, which is a misaligned incentive you would never accept in a commercial contract.

The security review founders skip

Automated tools connect via API keys, and the permissions on those keys are the whole game. Trading access only, never withdrawal rights – a tool that requests withdrawal-enabled keys has failed the review, full stop. Check whether keys can be IP-restricted, how they are stored, and how fast access revokes. You would not give a new SaaS vendor write access to the company bank account; the same instinct applies verbatim.

Pilot small, measure honestly

No founder rolls out a vendor company-wide without a pilot. Fund the smallest account the tool accepts, run it for weeks, and track everything against two benchmarks: what the tool claimed, and what doing nothing (or an index fund) would have returned. Paper trading does not count – simulated fills are cleaner than real ones, and the differences are precisely what you are testing for.

Independent test data shortens this loop considerably. The Investors Centre runs funded-account testing of AI tools for trading available to UK users – real deposits, real orders, delivered-versus-claimed performance measured including costs – and their consistent finding is the one a seasoned buyer would predict: the gap between marketing and production is the rule. Reading tested results before piloting is the same move as checking a vendor’s references before the call.

The one rule that protects the company

Whatever the tool, ring-fence it. Separate account, capped float, money whose total loss changes nothing about payroll or runway. Founders bet on themselves for a living – the discipline is remembering that an AI tool with account access is not that bet, it is a vendor on probation. Treat it like one and the downside is a cancelled pilot; treat it like magic and the downside is a story you tell at dinner parties for years.