Industry · Retail & e-commerce

Customer AI assistants that can't promise what the company won't honor.

Q: How do you prevent chatbot 'Air Canada' moments?

Promise classifiers: detect statements about price, return policy, refunds, warranties, legal advice, and block or route them through a human before the customer sees them. Every near-miss is signed for the record.

Q: What about recommendation explainability?

We sign a rationale with every recommendation: features used, model version, decision. When a regulator or customer requests explanation under GDPR Article 22, the response draft pulls from the signed record.

Q: Can ShadowIQ keep us out of PCI scope?

The gateway tokenizes PANs inline — the LLM never sees the raw card number. As long as other controls are in place, AI interactions stay out of PCI scope entirely.

Retail AI lives and dies at the last meter. Air Canada lost in court over a chatbot promise. ShadowIQ keeps your assistant's promises inside policy — and gives you a signed record of every one.

Walk through a retail tenant Platform overview

What this is

ShadowIQ for Retail provides AI governance for customer-facing assistants and recommendation engines with price-change guardrails, PCI scope containment, personalized recommendation explainability, EU AI Act Article 22 compliance, and signed evidence of every customer-impacting AI decision.

How it fits · explainer

Your retail stack, under one control plane.

Where it hurts

You've heard this one before.

Chatbots making commitments the business won't honor.
Recommendation systems with no Article 22 explainability.
Customer comms drifting outside brand guidelines at scale.
PCI scope creep through AI-generated order summaries.

What we do about it

Three moves.

1
Promise guardrails.
Content classifiers for price, policy, and legal promises. Block or escalate before the customer hears it.
2
PCI scope containment.
PAN tokenization at the gateway; downstream AI never sees the card number. PCI scope stays where it was.
3
Recommendation explainability.
Every recommendation carries a signed rationale. Data subject requests produce explanations in under an hour.

Outcomes

Numbers, not adjectives.

unauthorized price commitments

< 1 hour

Article 22 response SLA

out-of-scope

for PCI · by design

Your typical stack

ShadowIQ integrates with what you already run.

OpenAIAnthropicShopifySalesforceSnowflakeSegmentMixpanel

Regulatory surface

We speak the compliance languages you do.

FTC
State AGs
EU AI Act
UK CMA

Frequently asked

Asked, answered, sourced.

Promise classifiers: detect statements about price, return policy, refunds, warranties, legal advice, and block or route them through a human before the customer sees them. Every near-miss is signed for the record.

We sign a rationale with every recommendation: features used, model version, decision. When a regulator or customer requests explanation under GDPR Article 22, the response draft pulls from the signed record.

The gateway tokenizes PANs inline — the LLM never sees the raw card number. As long as other controls are in place, AI interactions stay out of PCI scope entirely.