An agent that acts on its own needs a way to reach capabilities, rules for what it may do, and a record of what it did.
AI agents now call tools, move data and trigger payments without a person approving each step. That makes the moment before an action, and the evidence after it, part of the engineering problem.
Our work covers three areas. Agent infrastructure and orchestration connects agents to tools and to other agents. Trust, governance and execution decides what may run and records what did. Autonomous intelligence research looks at what comes after.