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Use Tedro as the client-facing layer in your automation stack

Automation agencies building client systems need a central platform for communication, bots, agents, and workflows that fits into broader stacks through OpenAPI.

Client 1 setup
separate
Client 2 setup
separate
Client 3 setup
separate

The problem automation agencies face

  • Every client system becomes a separate setup
  • Bots and flows are hard to manage centrally
  • Tool sprawl kills margin and clarity
  • Operational ownership becomes messy across clients
  • Scaling means more maintenance overhead
  • Agencies need a better central layer, not more tools
YOUR STACK
n8nCRMAPI
OpenAPI
tedro
AgentsChannelsWorkflows
End customers

Why automation agencies choose Tedro

  • One organisation to manage many client-facing systems
  • Client workspaces for clean separation
  • Communication channels, agents, and workflows in one place
  • Reusable rollout patterns across clients
  • OpenAPI compatibility for n8n and other orchestration tools
  • A more scalable delivery model
Deployed agents6 active
Acme bot
running
Bloom agent
running
Nova support
running

How automation agencies use Tedro

1

Agency uses Tedro as the client-facing layer

2

External tools orchestrate broader automation where needed

3

Each client gets its own workspace

4

Bots, communication, and workflows are managed centrally

5

New client systems are adapted from proven patterns

OpenAPI
n8n
Reusable
Central

Relevant capabilities

  • Open Platform / OpenAPI
  • Workflow Builder
  • Multi-client Management
  • AI Agents
  • Customer Communication Channels

Why this matters at scale

Fewer one-off systems to maintain

Cleaner delivery across a growing portfolio

Central management of deployed client bots and agents

More reusable architecture across engagements

Better long-term serviceability and margins

See how Tedro fits your automation stack

Book a demo and see OpenAPI integration, central management, and multi-client deployment in action.