The AI Auto-Approval Agent decides, automatically and in real time, whether each incoming sample request clears the bar your brand sets before you ship product. It replaces the click-through-every-request grind and protects your sample budget.

The AI Auto-Approval Agent screens incoming TikTok Shop sample requests against filters you set (minimum followers, predicted ROI, content views, items sold, region, and SKU-specific rules), then approves, declines, or flags each one for manual review automatically. Daily and weekly approval caps stop a viral moment from draining a month of sample budget in 48 hours. It lets you scale the program without scaling headcount.

Setup starts with filter design. Define minimum and maximum followers (a max is useful for avoiding mega-creators whose post quality degraded as they scaled), minimum predicted ROI, minimum final score, minimum content views, minimum items sold, minimum ecommerce experience level, allowed regions, plus product-specific and SKU-specific rules when different parts of your catalog need different criteria. Layer the filters and the agent enforces them all at once: a creator clears the bar only if they pass every enabled filter.

Approval and decline both fire automatically. Creators who pass get their sample approved and dispatched. Creators who do not get a clean decline, with the option to send a polite auto-response so they are not left wondering. Borderline cases (a creator close on GMV but with a recent posting gap) can be flagged for manual review instead of auto-decided, so the human eye stays on the cases that matter.

Daily and weekly approval limits are a hard requirement, not a nice-to-have. Set them in the agent config to cap how many samples can be approved per day and per week, regardless of how many creators technically pass. Without limits, a single viral campaign moment can drain a month of sample budget in 48 hours. Agent priority and product/SKU scope let you run multiple agents across different product lines without them stepping on each other.

Performance lives on the analytics dashboard: approved and rejected today, approved and rejected this week, totals, active agents, plus a full historical activity log you can scroll to spot-check decisions and refine filters when an agent is too generous or too tight. Most brands tune their first agent twice in the opening month, then leave it running.

Without automation, brands manually review every request, spend hours filtering low-quality creators, ship product to creators who never post, and end up hiring VAs to manage the volume. With Auto-Approval, you scale without scaling headcount. The agent enforces the same screening criteria your team would apply by hand, at a speed and consistency a human cannot match.

Want help dialing in your filter thresholds for your first agent? Book a demo and we will tune them with you on your own criteria. Quick question first? Our Discord is the fastest way to reach us.