Use cases

Whatever your agent buys, and whatever rail it pays on, Paitify is the policy and audit layer that decides yes or no — and logs it. 13 patterns we see most often.

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Procurement agents

An agent buying software, supplies, or cloud resources against a department budget. Paitify checks the spend limit and vendor rules before it goes through, and routes anything over threshold to a human.

$2,400 order → REQUIRES_APPROVAL

API & cloud cost control

A coding agent calling metered APIs, LLM tokens, or compute. Paitify enforces a hard spend ceiling per period, so a runaway loop hits a decline instead of a five-figure bill.

$40 API bill → CAPTURED

Ad-spend & marketing agents

An agent adjusting bids or launching campaigns. Paitify checks daily and campaign budget caps, plus the approved-platform list, before each spend goes through.

$150 daily spend → CAPTURED

Trading agents

An agent executing trades — crypto or otherwise — within position and value limits. Every decision is authorized against policy first and logged, so you can reconstruct exactly why a trade went through.

$5,000 trade → DENIED

Also common

Dropshipping & restocking agents

Supplier reorders checked against spend caps and an approved-vendor list.

Auto-purchase agents

Buy-on-price-drop or buy-when-in-stock, checked against policy before the order fires.

Travel-booking agents

Bookings held to corporate travel policy; over-budget trips route to a human.

Treasury & cross-border payments

Counterparty and country rules enforced, with a compliance-ready audit trail.

Customer-service refunds

Refunds and credits capped per case and per period before they're issued.

Subscription & SaaS provisioning

New seats and tools checked against budget and an approved-vendor list.

Agent-to-agent commerce

One agent paying another — the same policy and audit trail apply.

Gaming & virtual economy agents

Buying in-game items or managing microtransactions within spend caps.

Logistics & fulfillment agents

Paying for shipping, freight, or fulfillment within per-order and per-period limits.