
Autonomous agents for Events & Marketplaces, under control.
Two-sided marketplaces and vendor workspaces with governed AI matching, drafting, and contract review.
Autonomy you can put into production.
The gap between a demo and a deployment in events and marketplaces is governance. Trunnion closes it with policy, approval, and audit built into every run.
Policy-aware by design
Policy-based access control can scope what agents may see and do in events and marketplaces; the implemented policy is verified per release.
A human stays in command
Consequential actions pause at an approval gate. Agents propose the work; your team decides what executes.
Reviewable records by design
Record coverage, supporting traces, integrity, and replay are verified for the exact release.
Deploys where you operate
Run in cloud, on-premise, or fully air-gapped, matched to the compliance posture of the vertical.
Contracts and client trust, at consumer emotional stakes.
Events and marketplaces combine two things agents handle badly without governance: multi-party contractual commitments and clients for whom the event is singular and emotionally weighted. A vendor booking is a contract with a deposit; a message to a client is brand-defining and, at a wedding, essentially unrepeatable. The failure mode is not a wrong number in a report, it is a confirmed booking nobody authorized or a tone-deaf message sent at scale. So the governance line falls at outbound communication and at commitment: agents can do the matching, the coordination drafting, and the tracking, and a human approves anything that reaches a client or binds a vendor.
One governed run: a vendor match and outreach.
Every step below is enforced by the control plane rather than left to convention. This is what a governed run looks like end to end in events and marketplaces.
A planner needs a caterer for a date and budget. The mission composes a matching agent, an availability agent, and a drafting agent.
The matching agent reads vendor profiles and prior fit signals within the planner's tenant only, so cross-tenant data never enters the match.
The availability agent checks calendars and holds, and can read them without placing a hold.
The drafting agent prepares the outreach message and a summary of why each vendor was matched.
Sending to a vendor or client is outbound and consequential, so it pauses for the planner to approve or edit the message.
The match rationale, the message as sent, the approver, and any hold placed afterward are written to the record.
Where teams start.
The pattern that works is a workflow that is genuinely repetitive, has a clear owner, and fails reversibly. Governance goes in on day one, not after the pilot succeeds.
Vendor matching and shortlisting
Agents match on real fit signals inside a single tenant and explain why, with the planner deciding who gets contacted.
Coordination and timeline drafting
Agents draft run-of-show and vendor coordination documents; the planner approves what circulates.
Client communication drafting
Drafted client updates that always pass a human before sending, because tone here is the product.
Multi-vendor workspace assistance
Governed agent help inside a shared vendor workspace, with tenant isolation enforced on every read.
Zennvue
A two-sided marketplace and vendor workspace for events, with governed AI matching, drafting, and contract review built in.
AI-native operating system for the wedding and event industry.
- Runs on the governed Trunnion control plane
- LLM-agnostic model routing
- Cloud, on-premise, or air-gapped deployment
Events & Marketplaces, at a glance.
| Product | Zennvue, events and marketplaces OS |
|---|---|
| Gated actions | Outbound messages, holds, bookings |
| Isolation | Tenant enforced per read, not per query |
| Record | Match rationale and message as sent |
| Deployment | Cloud, on-premise, or air-gapped |
Events & Marketplaces questions.
Will an agent message my clients without me seeing it?
No. Outbound communication is a gated action, so a person approves or edits every message before it sends. On an event no client will repeat, that gate is the entire point.
Can an agent book a vendor?
It can prepare the booking and it cannot commit it. Placing a hold or confirming a contract is consequential and pauses for a person, because a deposit is a real obligation.
How is data kept separate between planners and vendors?
Tenant is an attribute in the access decision on every read, not a filter applied at query time. An agent working for one planner cannot see another planner's vendors, notes, or clients.
Which product serves events?
Zennvue is an operating system for the wedding and event industry with AI-assisted matching and a shared vendor workspace.
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Bring governed AI to Events & Marketplaces.
See the control plane run a events and marketplaces workflow, in your environment, from cloud to air-gap.