Agentic AI audit · SME & mid-market

Before deploying AI agents, check whether your processes can support them.

Robinswood diagnoses the compatibility of your processes with agentic AI: real flows, decisions, data, exceptions and safeguards required before any autonomous automation.

  • mapping of processes, decisions, data and exceptions;
  • agentic AI compatibility score by flow: possible autonomy, required supervision or no-go;
  • data, control, role and agentic governance prerequisites;
Request an agentic AI auditCheck if it fits

30 minutes

A first conversation is enough to qualify the scope.

In 30 minutes, we check whether an agentic AI compatibility diagnosis is relevant or whether your priority is data, organization, control or governance.

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

Get a first opinion on your AI constraint

In 30 minutes, the goal is simple: understand your main blockage and decide whether a deeper diagnosis is worth engaging.

Short form

Short form, enriched just enough to qualify ICP/budget fit before the conversation.

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.

Signals that a compatibility diagnosis is useful

  • AI agents are being considered while processes remain implicit or unstable;
  • POCs accumulate without measurable return or industrialization conditions;
  • useful data, business rules and exceptions are scattered across tools and files;
  • teams fear autonomous automation will add complexity;
  • leadership wants to invest without delegating decisions to AI on an uncontrolled flow.

Expected deliverables

  • mapping of processes, decisions, data and exceptions;
  • agentic AI compatibility score by flow: possible autonomy, required supervision or no-go;
  • data, control, role and agentic governance prerequisites;
  • 30 to 90 day experimentation sequence, from supervised copilot to bounded agent.

Best fit

  • SME and mid-market leaders before budget arbitration on AI agents;
  • business teams whose processes are too implicit to automate safely;
  • IT or operations leaders who need to decide where AI autonomy is acceptable.

Preuve terrain

Process compatibility before autonomous agents

In a B2B services SME, the audit showed the main blockage was not AI content generation, but centralized and poorly instrumented commercial validation. The first gain came from a reliable decision flow, then from tightly bounded AI assistants and agents.