Start by mapping the teams, workflows, and systems that each agent workspace will support.
- Teams: Assign owners for sales operations, support, research, data operations, or internal automation.
- Use cases: Define the repeatable task, expected output, and handoff destination before configuring agents.
- Access: Scope users, tools, and knowledge sources by workspace so each workflow has clear boundaries.
Build MAS workflows with specialized agents instead of one broad assistant.
- Planner agents: Break a request into steps and select the right tools.
- Research agents: retrieve approved context from documents, tickets, CRM records, and knowledge indexes.
- Reviewer agents: check accuracy, policy fit, tone, completeness, and escalation requirements.
Connect agents to approved APIs, SaaS tools, data warehouses, ticketing systems, and internal services.
- Use scoped connectors for read, write, and action permissions.
- Record tool calls, inputs, outputs, and operator approvals for every production run.
- Review connector usage before expanding a workflow to more teams.
Use human-in-the-loop controls for sensitive work such as customer communication, account updates, compliance questions, and operational decisions.
- Route high-risk outputs to the right reviewer.
- Capture approvals, edits, and rejection reasons as quality signals.
- Turn recurring review feedback into workflow improvements.
Track agent runs across cost, latency, tool usage, cache behavior, quality scores, and escalation rates.
- Compare versions before and after prompt, model, connector, or policy changes.
- Use run history to troubleshoot weak steps and improve workflow reliability.
- Report adoption and impact to business owners with measurable operating metrics.
