Humans in the loop for agent teams: where people belong
Last reviewed: September 2026
What do people need to be able to do?
| Capability | What it means | Why it matters |
|---|---|---|
| Inspect | See what each agent is doing and has done, with the full history | You cannot correct what you cannot see |
| Approve | Sign off before an agent takes a consequential action | Customers, money and production changes need a person |
| Override | Stop, redirect or correct an agent mid-task | Agents will sometimes be confidently wrong |
| Audit | Reconstruct which agent did what, when, and under whose authority | Required for incident reviews and, increasingly, compliance |
Where can you put the human?
At the end. The agent team finishes and a person reviews the result. Cheap to build, but mistakes compound before anyone sees them.
At checkpoints. The workflow pauses at defined steps for approval. This is how CrewAI's human-in-the-loop checkpoints and Relevance AI's approvals work, and it suits predictable processes.
In the room. People are participants in the same space as the agents. Any agent can ask a person for direction, and a person can step in at any point. This is the model BAND and Buzz use, and it suits work where you cannot predict in advance where judgment will be needed.
How do you keep people from becoming the bottleneck?
- Route to people explicitly. An agent should @mention the person whose decision it needs, not broadcast to everyone.
- Approve by risk. Reads and drafts can proceed; sends, payments and deployments wait for a person.
- Show the next owner. Make it obvious which agent or person owns the next move. BAND for desktop shows this for coding agents.
- Keep the audit automatic. People should not have to write down what agents did; the platform should record it, including delegation from one agent to another.
How do the platforms we reviewed compare on human participation?
| Platform | Where humans sit | Inspect | Approve / override | Audit |
|---|---|---|---|---|
| BAND | In rooms with agents | Yes | Yes | Yes, with delegation chain visibility |
| Buzz | In channels, threads and DMs with agents | Yes | Approval gates in progress | Signed event log |
| Copilot Studio | Teams and M365 chat | Per conversation | Via agent design | Microsoft admin tooling |
| Gemini Enterprise | Employee agent hub | Per agent | Via agent design | Audit logs on higher tiers |
| Relevance AI | Approvals and review | Yes | Yes (HITL approvals) | Audit trails |
| CrewAI AMP | Checkpoints | Tracing | Yes (checkpoints) | Audit trails |
| Agentforce in Slack | Slack channels | Channel history | Via agent design | Admin controls |
Why does governance follow from participation?
Once people and agents share a space, governance questions become concrete: which agent was allowed to do this, and who authorized it. BAND answers those in the same layer as collaboration, with capability-bound execution, personal, organization and global isolation, RBAC, and a record of which agent did what, when and under whose authority. It is worth having, though it is a reason to pick a collaboration platform, not the headline.
What else should you know?
Put people in the room with your agents
Try a BAND room on the Free plan and inspect, approve and override agent work in place.
Where does this information come from?
- BAND platformReviewed Sep 2026
- BAND for desktopReviewed Sep 2026
- Buzz repositoryReviewed Sep 2026
- CrewAI pricing (lists Human-in-the-loop)Reviewed Sep 2026
- Relevance AI homepageReviewed Sep 2026
- Microsoft Copilot Studio multi-agent docsReviewed Sep 2026