Solutions · Marketplaces

AI employees for both sides of the marketplace.

Sellers onboarded and verified, disputes prepared with the evidence assembled, policy violations flagged consistently, payout questions answered with the math shown.

Evidence packs for every dispute Policy applied consistently, both sides Payout math always shown
ops · disputes
Marketplace desk Ops · Arbiter
CaseState
Seller onboarding — docs verifiedAPPROVED
Buyer dispute #2214 — timeline builtEVIDENCE
Listing flagged — prohibited categoryHELD
Payout query — fee breakdown sentANSWERED
38 CASES TODAYBOTH SIDES ON RECORD

-60%

Dispute resolution time

<2h

Seller verification turnaround

100%

Decisions with evidence attached

Representative results · your workload will vary

The job

What marketplace ops delegates.

01

Seller onboarding

Documents collected, verified against your requirements, and approved or escalated — fast enough that good sellers don't churn.

02

Dispute evidence prep

Order history, messages, and tracking assembled into a timeline before a human judges the case.

03

Policy enforcement flags

Listings and behavior checked against your rules, applied identically to every account.

04

Payout & fee support

The 'why is my payout this number' question answered with the actual breakdown, every time.

Guardrails

Consistent rules, human verdicts.

The agent applies your policy identically to every seller and buyer — but suspensions, dispute verdicts, and payout changes are decisions people make, on files the agent prepared.

Both parties' interactions live on the same audit trail. Every decision stays on the record.

marketplace · guardrails
ActionState
Verification & evidence prepAUTO
Seller & buyer repliesHOLD
Listing takedownsAPPROVER
Suspensions & payout changesHUMAN ONLY

Integrations

Plugged into your stack.

Scoped to marketplace operations — reading payment data to explain fees never implies changing payouts.

STStripePayments & payouts
INIntercomBuyer & seller chat
ZEZendeskSupport desk
SLSlackOps escalations
NONotionPolicy library
GMGmailNotifications
AIAirtableCase tracking
+ thousands morevia Syntrum connections
Disputes used to be an hour of tab archaeology per case. Now the timeline is waiting and we just decide.
Lucas Moreau · Head of Trust & Safety, Bazaar

Straight answers.

No. It flags, prepares, and applies policy checks consistently — verdicts, suspensions, and payout changes are made by your team on evidence the agent assembled.

It pulls the order, the message history, the tracking events, and the policy that applies into one timeline, so the human decision takes minutes and survives an appeal.

It applies the same written rules to every account, and because every flag and decision is recorded with its reason, you can prove consistency when challenged.

High-volume queues run as high-volume roles — instant reaction, thousands of open items — on Team and Business plans. Bring your own API key and inference goes to $0.

Start small

Put one agent to work this week.

Start with one repeatable job. Keep approval over every action, see the results, and expand when you are ready.