AI agent platform

An AI agent platform is the layer between models and the business processes agents run. It covers the whole life of an agent: building it with a visual builder, an SDK or both, connecting it to models, knowledge and business systems, governing what it can do, deploying it to real channels, and measuring how it behaves once people rely on it. A framework gives developers building blocks; a platform adds the operations, security and governance a production agent needs.

For an enterprise, the platform decision outlasts any single model. Models change every few months, while the controls, integrations, audit trail and deployment model are what a security review approves and what a team lives with. That is why evaluations usually center on where the platform runs, which models it can use, how approvals and guardrails are enforced, and whether the agents can move if the vendor relationship ends.

A bank shortlisting platforms checks whether each one can run in its own cloud account, route only to approved models, require approval before any payment step, trace every run, and export its agents in an open format.

In Dynamiq, one platform covers chat, voice and workflow agents: AI Coworker, Voice Agents, and Agent Builder with its visual canvas and Python SDK on one engine, with Knowledge, 2,100+ app integrations, 29 model providers and an AI Gateway, guardrails and approvals, evals and observability. It runs on Dynamiq Cloud or self-hosted, and the SDK is open source under Apache-2.0.