Human-Reviewed Operations

Automate sensitive business processes while keeping people involved before important decisions or actions move forward.

The problem

Legal, finance, and compliance work cannot be fully delegated to AI, but running it entirely by hand does not scale. Teams need automation that stops and asks before anything important happens.

How it runs today

Sensitive documents and requests move through email threads and manual checklists. Automation is avoided because generic tools act without approval steps.

With Heym

Model the process as a workflow where agents do the analysis and preparation, and human-in-the-loop checkpoints pause execution until a reviewer approves. Execution state is preserved, so approved work continues exactly where it stopped.

The workflow, end to end

The HITL Support Reply Agent template is an importable starting point with a real human-in-the-loop checkpoint: the agent drafts a customer-ready reply, requests human review, and the workflow pauses until a reviewer approves, edits, or refuses the draft through the review link. Execution resumes only after that decision.

Business requestAgentic workflowHuman approvalApproved action or output
HITL Support Reply Agent
View template

Where control lives

Human-in-the-loop checkpoints before critical actions, guardrails on model output, full workflow history, and Slack or email notifications to reviewers.

Sensitive processes run faster without giving up the approval steps your team is accountable for.

A legal team is currently testing document-based agentic workflows with human review before sensitive outputs move forward.

Built with these Heym capabilities

Human-in-the-loop checkpoints
Resumable execution state
Agentic Board
Guardrails
Workflow history
Execution traces
Slack and email notifications

Common applications

Legal document processingFinance review workflowsSales research and outreach preparationSupport escalationContent approvalCompliance-sensitive operations

Deployment and integration

  • Self-host with Docker or Kubernetes, keeping data on your infrastructure.
  • Connect your own model providers: OpenAI, Ollama, vLLM, and more.
  • Integrate over HTTP, webhooks, Slack, email, and MCP tools.
  • Expose finished workflows as APIs, portals, or MCP servers.

Have a process that fits this pattern?

Show us the workflow, data sources, tools, and human decisions involved. We will help map it to Heym.