AI agents · ERP/CRM

Before connecting an AI agent to your ERP, check the flow it must actually stabilize.

Robinswood helps leaders, IT teams and integrators avoid gadget agents: target flow, rights, data, human controls, responsibility and measurable gain before connecting to business systems.

  • target business flow and trigger events;
  • rights, allowed data and human guardrails;
  • ERP/CRM/data integration risks;

30 minutes

First goal: choose the right integration point.

In 30 minutes, we check whether the agent should read, prepare, recommend or write — and whether the business system is ready for it.

Fast qualification

  • Human reply within 24–48 business hours
  • No tool selling before diagnosis
  • Short form, enough context
Initial response within 24–48 business hours
No automated sales follow-up after the form
Not an ERP, RPA or n8n reseller

Fit filter

This page filters projects where an AI agent touches a real business system.

Identified system: ERP, CRM, data stack or critical business tool.
Observable flow: decision, follow-up, control, entry, anomaly or team coordination.
Sponsor and budget: 5k€ minimum framing, POC only if 30k€ is fundable and KPI is clear.
Required guardrails: rights, human validation, logging and responsibility before system write-back.

Qualify an AI agent around your ERP/CRM

Describe the flow, business tool, data and risk: we reply within 24–48 business hours with a first framing view.

Request AI agents ERP framing

5 fields. Goal: decide whether the topic is diagnosis, POC or integration risk framing.

Optional but useful to qualify SME/mid-market fit, budget and priority immediately.

One sentence is enough. We qualify the context later.

Initial response within 24 to 48 business hours
If the topic is relevant, we suggest a 30-minute executive diagnosis.
Data is only used to process your request. No automated sales sequence.

This framing is useful if

  • an integrator suggests an AI agent around ERP, CRM or data stack;
  • teams want to automate business validations or follow-ups;
  • data exists but is scattered, incomplete or sensitive;
  • error, access or responsibility risk blocks production;
  • expected gain is not tied to a business KPI yet.

What we frame

  • target business flow and trigger events;
  • rights, allowed data and human guardrails;
  • ERP/CRM/data integration risks;
  • POC or no-go sequence with gain KPI.

Best fit

  • SMEs and mid-market companies with ERP, CRM or critical business tools;
  • IT, finance, operations and ERP/CRM integrators;
  • prescribers who want to secure a client use case before development.

Preuve terrain

A reliable AI agent starts with the flow, not the model

In a tool-equipped SME, the topic was not building a universal agent, but stabilizing a short sequence: anomaly detection, decision preparation, human validation and controlled write-back to the business system.