SAVI

AI cost governance at retail scale

For retail and consumer brands running high-volume customer-facing AI - personalisation engines, virtual assistants, and recommendation systems that generate millions of LLM calls every day.

Cost per workflow

Visible

$92,000 capped

Black Friday peak spend

Flagged

Sensitive details in prompts

Loops detected

18

Paused in seconds

Runaway shopping assistant

Per-channel caps

Product, channel, campaign

Where it hurts

Seasonal spend spikes

Black Friday and end-of-year campaigns send AI call volumes through the roof. Without caps and forecasting in place, a successful campaign can generate an eye-watering invoice.

Chatbot loop risk

Customer service and shopping assistant agents can enter infinite loops during peak traffic - a single runaway agent at scale can cost more in an hour than your daily AI budget.

Margin pressure

Retail margins are thin. AI costs that aren't actively governed erode contribution margin on your highest-volume SKUs - and most retailers don't know it's happening.

Customer data exposure

Personalisation and recommendation engines process customer PII and payment-adjacent data on every call. That puts them in scope for the Australian Privacy Principles and, where card data is involved, PCI DSS - without a governance layer, you can't show what data reached which model.

By workflow

AI cost visible for each customer-facing experience

Seasonal budget caps with alerts, and opt-in blocking
Runaway chatbot and recommendation-engine loops flagged as calls arrive
Sensitive details in prompts flagged, and masked with the SDK scanner on

Protect your margins at every scale

See what each AI-powered experience costs to run. Talk to our team about a spend audit.