AI framing · Before POC

Before launching an AI POC, check that the problem, mandate and budget really exist.

Robinswood helps SME and mid-market leaders turn a vague AI idea into a framed decision: business constraint, sponsor, data, risks, budget and realistic sequence.

  • formulation of the business constraint to solve;
  • qualification of mandate, decision-makers and budget;
  • map of data, tools and risks;
Frame my AI projectCheck if it fits

30 minutes

First goal: decide whether a POC deserves to exist.

In 30 minutes, we check constraint, sponsor, data, budget and risk. If the POC is premature, we say so.

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 AI projects with potential sponsor, constraint and budget.

Identifiable sponsor: leader, CFO, CIO, operations director or mandated prescriber.
Realistic budget: 5k€ paid wall for framing, 30k€ minimum POC if go is confirmed.
Observable business constraint: delay, quality, re-entry, centralized decision, compliance or adoption.
Arbitration capacity: accept a POC no-go if flows or data are not ready.

Useful pages to refine the framing

Executive AI diagnosis

Identify the dominant constraint before investing.

AI Act for SMEs

Check risks, data and responsibilities around AI uses.

AI audit for SMEs

Prioritize use cases by value and feasibility.

Qualify your AI project before POC

Describe the idea, mandate, expected budget and business blockage: we reply within 24–48 business hours with a first framing view.

Request AI project framing

5 fields. Goal: decide whether the topic deserves a diagnosis, a POC or no AI initiative for now.

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.

Framing is useful if

  • an AI POC is considered but the expected gain remains unclear;
  • several teams ask for AI without shared arbitration;
  • IT, operations and leadership do not share the same priority;
  • data or responsibilities are not clear enough to automate;
  • budget exists, but no one knows which first step to fund.

What the framing produces

  • formulation of the business constraint to solve;
  • qualification of mandate, decision-makers and budget;
  • map of data, tools and risks;
  • POC go/no-go decision with a 30–90 day sequence.

Best fit

  • SME and mid-market leaders before budget commitment;
  • CFOs, CIOs or operations leaders who want to avoid a gadget POC;
  • prescribers with an identified client, mandate and budget to confirm.

Preuve terrain

Good framing separates AI curiosity from a fundable project

In a B2B organization, framing showed the expected AI use was not the priority: the real constraint was validation flow and upstream data quality. The POC was postponed, the decision flow fixed, then AI introduced only on stabilized steps.