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Reference Architectures

AxonFlow is easier to evaluate when engineers can picture how it sits inside a real system. This page collects the common architecture patterns teams usually want to model first.

The goal here is not to prescribe one perfect design. It is to show where the control plane fits when the application, models, tools, and operators all matter.

Pattern 1: Customer Support AI​

Best for:

  • support copilots
  • ticket summarization
  • governed retrieval across customer and internal systems

Typical shape:

Why AxonFlow fits:

  • support flows usually touch sensitive records
  • connector access and response redaction matter as much as raw model quality
  • teams need auditability when the assistant changes workflows or drafts customer-facing text

Pattern 2: Governed Research Assistant​

Best for:

  • internal research copilots
  • analyst assistants
  • policy-heavy retrieval and summarization

Typical shape:

Why AxonFlow fits:

  • document and storage connectors are often the critical integration layer
  • output redaction becomes part of the product, not an afterthought
  • teams want consistent control over what reaches the model and what leaves it

Pattern 3: Enterprise Multi-Agent Workflow​

Best for:

  • planning-driven internal automation
  • multi-step workflows with approvals
  • team-shared control-plane platforms

Typical shape:

Why AxonFlow fits:

  • workflows need planning, execution tracking, and governance in the same platform
  • approvals, exports, and evidence become part of the operating model
  • enterprises want a reusable control plane, not one-off agent code in every team

How To Use These Patterns​

Start with the pattern closest to your intended workload, then map it to:

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