The AI Auto-Approval Agent runs against your incoming TikTok Shop sample requests and decides — automatically, in real time — whether each creator clears the bar your brand sets for shipping product. It replaces the click-through-every-request grind that buries operations teams during heavy campaign weeks and protects sample budgets from getting torched on creators who never post.
Setting up an agent starts with the filter design. Define minimum followers, maximum followers (useful when you want to avoid mega-creators whose post quality has degraded as they've scaled), minimum predicted ROI, minimum final score, minimum content views, minimum items sold, minimum e-commerce experience level, allowed regions, plus product-specific and SKU-specific rules when you want different criteria for different parts of your catalog. Layer the filters together and the agent enforces them all simultaneously — a creator clears the bar only if they pass every filter you've enabled.
Approval and decline both fire automatically. Creators who pass get their sample approved and dispatched. Creators who don't get a clean decline, with the option to send a polite auto-response so they're not left wondering. Anything sitting on the borderline (a creator close on GMV but with a recent posting gap, for example) can be flagged for manual review instead of auto-decided, so the human eye stays on the cases where it actually matters.
Daily and weekly approval limits are a hard requirement, not a nice-to-have. Set them inside the agent config to cap how many samples can be approved per day and per week, regardless of how many creators technically pass your filters. Without limits, a single viral campaign moment can drain a month of sample budget in 48 hours. Agent priority and product/SKU scope round out the controls so you can run multiple agents simultaneously across different product lines without them stepping on each other.
Performance lives on the analytics dashboard. Approved today, rejected today, approved this week, rejected this week, total approved, total rejected, active agents, plus a full historical activity log you can scroll through to spot-check decisions and refine filters when you find an agent being too generous or too tight. Most brands tune their first agent twice in the opening month and then leave it running.
Why this matters: without automation, brands manually review every sample 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 the program without scaling headcount — the agent enforces the same screening criteria your team would manually apply, just at the speed and consistency a human operator can't match.
Want help dialing in your filter thresholds for your first agent? Message in our Discord support server or email us at [email protected] and we'll be happy to help!