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 project Check 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.

Agentic AI audit for SMEs

Diagnose process compatibility with agentic AI.

Flow Review · qualified entry

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.

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.