AI audit · SME & mid-market
Before investing in AI, check where it can actually create value.
Robinswood audits your flows, tools and decisions to separate useful AI use cases from attractive demos with no operational impact.
- mapping of flows and friction points;
- AI use cases qualified by value and feasibility;
- data, tooling and governance prerequisites;
30 minutes
A first conversation is enough to qualify the scope.
In 30 minutes, we check whether a full audit is relevant or whether your priority is data, organization 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
5 fields. Detailed qualification comes later if the topic deserves a conversation.
Signals that an audit is useful
- several AI ideas exist, but no one knows where to start;
- POCs accumulate without measurable return;
- useful data is scattered across tools and files;
- teams fear automation will add complexity;
- leadership wants to invest without making a vague technology bet.
Expected deliverables
- mapping of flows and friction points;
- AI use cases qualified by value and feasibility;
- data, tooling and governance prerequisites;
- 30 to 90 day experimentation sequence.
Best fit
- SME and mid-market leaders before budget arbitration;
- business teams facing too many tools;
- IT or operations leaders who need to frame AI demand.
Preuve terrain
Audit before tool, not the opposite
In a B2B services SME, the audit showed the main blockage was not AI content generation, but centralized commercial validation. The first gain came from a more reliable decision flow, then from targeted AI assistants.