Product
One platform for AI work you can actually trust
AgentFarms helps teams launch role-based AI workers that act in real systems, respect approval boundaries, and show their work clearly enough to earn trust.
- First worker live in your environment within minutes of setup
- Riskier actions pause automatically before they affect customers or production
- Role-scoped tool access keeps execution aligned to policy
- Every action, approval, and outcome stays visible in the evidence trail
Execution flow
Choose a role and launch a worker
Provision the worker, define its identity, and set approval defaults from a guided setup flow.
Connect the tools that role needs
Authorize only the systems relevant to the workflow so the worker can operate with clear boundaries.
Run work with approval-aware delivery
Routine actions continue automatically while higher-risk work waits for review before it proceeds.
Built for real operating environments
Every capability is shaped around how modern teams actually deliver work, coordinate decisions, and manage risk.
Role-based worker deployment
Launch specialist workers for engineering, testing, support, coordination, and operational workflows from a shared control plane.
Fast marketplace onboarding
Choose a role, connect the right tools, and deploy a worker without custom setup or brittle one-off configuration.
Approval-aware execution
Classify work by risk so sensitive actions stop for review while lower-risk work continues to move forward.
Tenant-isolated runtime
Keep execution, credentials, and context isolated so rollout can scale without cross-tenant ambiguity.
API and visual execution modes
Handle structured integrations where APIs exist and support visual, browser-driven workflows where they do not.
Evidence and auditability
Track action history, approvals, and workflow outputs so operations, security, and leadership can review with confidence.
Connector-based tool access
Extend workers into the systems your teams already use, including internal tooling routed through approved connector patterns.
Multi-model execution posture
Route work across model providers and fallback strategies without forcing teams to rebuild their operating flow around a single vendor.
See it in action
Watch a worker move from intake to delivery
The product is built around real workflow progression, not prompt tricks, toy demos, or hand-waved autonomy.
Ready to launch your first governed AI worker?
Start with one role, prove the workflow, and expand coverage once your team sees the result in real operations.