Xpander

xpander helps organizations run AI agents for real work while keeping control over who can do what, what systems the agents can reach, and what they did after they ran. It’s aimed at teams that want to stop ad hoc agent usage and instead run agents through a single governed platform.

Key capabilities that matter for adoption:

• Per-user permissions that scope what each person can authorize for an agent
• Audit logging for every action including tool calls, approvals, failures, and spend attribution per task
• Governed connectivity to internal systems through a control plane, not “workarounds”
• Run any model including Claude, OpenAI, or your fine-tunes, with the ability to swap models without rewriting agents
• Code-first control via an SDK and REST API, plus an “Omni” built-in experience for agent creation and execution
• Kubernetes or xpander cloud deployment, including air-gapped on-prem

What sets it apart is the focus on governance and traceability, not just agent execution. Each agent has a named identity, actions tie back to a specific human, and credentials are injected at tool-call runtime so secrets aren’t exposed to the model. xpander also supports shared, multi-user workflows through permission-scoped conversations and published Agentic Apps.

If you’re evaluating an agent platform for engineering, security, operations, or other teams that need compliance-friendly visibility, xpander’s emphasis on audit trails, approvals, and permission-scoped collaboration is the core reason to consider it.