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The IndexEnterprise AI

Enterprise AI

Software now acts for companies and against them, faster than accountability and defence are being built around it.

2 problems · all 20 on the Index

Ed. 1

Enterprise AIProblem 0009

The tooling that would protect a small firm assumes somebody to run it: a console to watch, alerts to triage, a policy to maintain. A twelve-person company has none of those, and a serious incident can threaten the business itself. What is missing is not awareness (owners know) but anything that works without an operator.

Who lives with itOwner-managed firms and their one technical person · the larger customers whose supply chain runs through them · insurers pricing cyber cover

Why nowAn ENISA survey of small and medium enterprises, carried out during the pandemic, found that around nine in ten expected serious harm to their business within a week of a cyber incident and that over half believed it would likely end the business, against a backdrop of low security budgets and a lack of in-house cyber skills.

Why it matters · the JudgeAn existential risk to the firms that make up the overwhelming majority of businesses, where the binding constraint is operator time rather than money or intent. Security that needs nobody to watch it is a different product from the one being sold.

Inspired by reporting from ENISA (European Union Agency for Cybersecurity)

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Ed. 1

Enterprise AIProblem 0020

Support has been largely automated, and for routine questions that is an improvement. The unusual case is where it breaks: a bereavement, a billing error, a locked account, a situation the script has no branch for. The customer loops, rephrases, tries again, and eventually gives up, and the company never learns it happened, because a failed escape is rarely a metric anyone collects.

Who lives with itCustomers in genuinely unusual situations · the few remaining human agents · support leaders flying blind

Why nowAutomated support is now the default first line almost everywhere, while the escalation path behind it has often been thinned.

Why it matters · the JudgeThe savings are measured precisely and the losses are invisible entirely, which is why the balance keeps tipping the wrong way. Detecting the moment a conversation has stopped working is a narrow, concrete capability, and whoever builds it is selling the missing half of every deployment.

Framed by Ainna editorial

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