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AI Agents

Building Business Process Agents with Gemini and ADK

How to design agents that connect Gemini reasoning to enterprise systems — tool boundaries, human checkpoints, state, and evaluation — using the Agent Development Kit.

Overview

  • Agents earn trust through narrow, well-defined tool boundaries.
  • Consequential actions need human checkpoints and audit trails.
  • Agent quality is an evaluation problem, not a prompt problem.

Scope

Start from a workflow, not from an agent

Successful business agents automate one accountable workflow — order review, report assembly, exception triage — with explicit inputs, outputs, owners, and escalation paths defined before any code.

  • Map the human workflow first, then decide which steps the agent owns.
  • Keep the agent's mandate small enough to explain in one sentence.

Tools

Tool boundaries are the real safety surface

With ADK, each tool the agent can call is a typed, permissioned contract to an enterprise API. The agent reasons freely, but it can only act through tools that validate inputs and enforce the caller's entitlements.

  • Validate tool arguments against schemas before invocation.
  • Scope tool permissions to the requesting user, never a super-user identity.

Accountability

Checkpoints, state, and evaluation loops

Production agents keep durable state for long-running workflows, pause at human checkpoints for consequential actions, and run against labeled evaluation scenarios on every change.

  • Record every reasoning step, tool call, and approval in an audit trail.
  • Treat agent regressions like failing tests: block release until resolved.