Use Case — System Integrators

The same governance standard, on every client's agents, without rebuilding it each time.

You're accountable for what the agents you build do in a client's production environment, on infrastructure you don't fully control. Zespan gives you one governance layer that travels with every deployment.

Start free →For Agencies and integrators deploying and operating AI agents for enterprise clients

The problem

01

Every client engagement reinvents the same safety work

Each new client means rebuilding guardrails, approval flows, and audit logging from scratch, because there's no shared layer that travels with the agents you deploy. The same policy-enforcement work gets redone, inconsistently, on every project.

02

You're accountable for agent behavior you can't fully observe

Once an agent is deployed into a client's environment, visibility into what it's actually doing in production often depends on what that client's team happens to share with you — after something has already gone wrong.

03

Clients ask for compliance evidence you don't have a standard way to produce

A client's security or compliance team asks what the agent you built was authorized to do and who approved a specific action. Without a consistent audit layer across engagements, that answer is assembled by hand, differently, every time.

How Zespan helps

1

Stand up the same guardrail and governance layer on every engagement

Rules — business-logic guardrails, approval thresholds, audit requirements — are defined as code and reused across client deployments instead of rebuilt per project. What you ship on engagement one is the starting point for engagement two.

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Zespan guardrail configuration reused as a template across client deployments
2

Get visibility into every client's agents from one place

Every deployment traces to the same dashboard: what the agent did, what was flagged, what was blocked. You're not dependent on a client noticing and reporting an issue before you know about it.

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Zespan agent registry showing agents deployed across multiple client environments
3

Backtest a rule against a client's own traffic before enforcing it

Every client's usage patterns differ. Before a rule goes live in a specific deployment, backtest it against that client's actual history, so you're not shipping a rule tuned on one client's traffic into another's production environment blind.

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Zespan guardrail backtest run against a specific client deployment's historical traffic
4

Self-host per client where data residency requires it

Where a client's contract or industry requires it, Zespan runs self-hosted inside their environment rather than a shared cloud instance, while your team still gets the same governance layer and visibility across every deployment.

5

Hand every client the same audit evidence, without custom work

Produce a compliance-ready audit trail — what was allowed, who approved what, when — as a standard part of every engagement, not a one-off deliverable your team assembles manually when a client's security review asks for it.

Start free — 50K traces/month, no card needed

See every agent decision, tool call, and handoff in production. Setup takes a few minutes.

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