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FlowOps: multi-agent incident operations console

Not five personas taking turns, but a controlled execution chain: gather evidence in parallel, form a response, wait for human approval, execute, and preserve the audit record.

The value is workflow control, not agent count

01

Establish facts in parallel

Triage, evidence retrieval, and impact assessment run together to reduce time from alert to a decision-ready picture.

02

Keep actions inside boundaries

Release, payment, external-send, and deletion actions require human approval; agents cannot silently escalate privileges.

03

Preserve reviewable evidence

Inputs, tool calls, evidence, plans, cost, latency, approvals, and outcomes share one audit timeline.

The control plane: this stack and three guardrails

EigentMulti-agent role coordination
n8nBusiness workflow orchestration
MCPTool and context integration
LangfuseCost, latency, failure, and runtime tracing
  • Decompose the business workflow before picking an agent framework—role names are not workflow control.
  • Budget, permission, external-send, and delete actions require human confirmation; agents cannot self-escalate.
  • Tool calls need IO contracts and failure fallbacks, not free-form model improvisation.

Five steps from incident intake to audited execution

01

Incident triage

Set priority, affected systems, and response deadline.

02

Parallel evidence

Read orders, logs, releases, and support tickets.

03

Response planning

Compose rollback, replay, communication, and fallbacks.

04

Human approval

Pause high-risk actions for an accountable operator.

05

Execute and audit

Record results, failure reasons, and the full timeline.

A demonstrable control loop with explicit integration boundaries

The public version uses deterministic data for reliable demonstrations. Real LLM, MCP, n8n, enterprise identity, order, and notification systems are not connected yet; approval gates and least privilege remain mandatory for production integrations.