The execution boundary for enterprise AI agents.

Swytchcode sits between every AI agent and your production APIs: one policy-checked path to authenticate, execute, and record what ran.

The enterprise problem

Every agent team builds its own control plane.

As agents move from demos into production, integration logic fragments across teams, with no consistent execution boundary.

01

Fragmented credentials

Secrets and token handling spread across agent code, wrappers, and environments.

02

Inconsistent policy

Each team defines permissions and safeguards differently, or leaves them in prompts.

03

Unsafe failure handling

Blind retries and partial failures can duplicate side effects or create false success.

04

Limited accountability

Teams struggle to reconstruct what an agent requested, what ran, and why.

One execution boundary

Centralize control without centralizing every agent.

Centralize authentication

Credentials stay out of agent code and model context. One controlled path to every API.

Enforce policy before execution

Swytchcode decides whether a requested action is allowed, needs approval, or gets blocked.

Standardize reliable execution

Retries, idempotency, and schema validation live at the runtime layer, not in every agent.

Inspect every operation

See what was requested, the policy decision, what executed, and what came back.

How teams use Swytchcode

One runtime, adopted team by team.

Security & platform teams

Own the policy manifest and approval workflow once, enforced identically for every agent.

Application teams

Call approved integrations from CLI, MCP, or SDK without building auth or retries per project.

Compliance & audit teams

Pull structured execution records for any agent action without instrumenting each application.

Built for your architecture

One runtime across agents, apps, and APIs.

Use the runtime through the CLI, native MCP, or a JavaScript and Python SDK, across 2,000+ APIs.

CLI runtime · Native MCP · JavaScript & Python SDKs

execution.manifest
source: agent.request
policy: require_approval
auth: runtime.resolve
execute: validated
inspect: structured_result

FAQ

Questions enterprise teams ask

Talk to us

Govern every agent action before it reaches production.

Custom execution limits, SSO, dedicated support, SLAs, and on-premise options, scoped to your agent teams.