Industries · Retail & E-commerce

AI quietly runs your storefront. Who signed off on it?

AI quietly runs the storefront — what’s recommended, what it costs, what search surfaces, what the support bot tells a customer. Each is a system making thousands of decisions an hour that shape revenue and trust. Most were optimised for conversion, not assured for correctness.

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The storefront AI vs. the rule it has to hold up to

AI quietly rewires the storefront live — which of these moves would fail a fairness or consumer-protection check? Illustrative; not a measured result.

Where the risk is

The systems you can’t sign off on.

Each of these makes thousands of decisions an hour that shape revenue and trust — and none of them is defensible the way it stands today.

A pricing or promotion model that can quote a price you didn’t intend

A recommendation engine that can surface the wrong, unsafe, or non-compliant product

A support copilot that can state a returns or refund policy incorrectly to a customer

A search ranker whose behaviour shifts with data drift and no one’s watching

The regulatory bar

A bad answer becomes a screenshot becomes a news story.

Less prudential regulation than BFSI, but real exposure: consumer-protection and pricing-fairness rules, data-privacy obligations (DPDP/GDPR) on the behavioural data these systems run on.

And the reputational reality that a chatbot’s bad answer becomes a screenshot becomes a news story.

What we assure

A control around the AI that touches customers and revenue.

We assure the AI systems that touch customers and revenue — validate what they output, monitor how they drift, and put a control around the ones that can quote a price, state a policy, or recommend a product.