What makes a good AI agent platform
The best AI agent platforms separate configuration from infrastructure. You describe what an agent should do — which tools to use, which steps to run, where to wait for human input — and the platform handles orchestration, durability, and observability. Agents stay running across failures, log what they did, and make it easy to audit outcomes.
A platform built for teams also provides approval gates as a first-class feature. Every action an agent can take should have a corresponding option to require human sign-off, so teams can start cautiously and grant more autonomy only where they're confident.
Who it's for
Operations, sales, marketing, support, and product teams all have repetitive workflows that cross multiple tools. An AI agent platform lets the people who own those workflows build and adjust agents directly — rather than waiting on an engineering queue.
For technical teams, a solid platform reduces the cost of building agents dramatically: integrations, workflow durability, approval flows, and observability come pre-built so engineers focus on the logic that's unique to the problem.