West Midlands SMEs offered 50 funded AI feasibility reports

TL;DR:

• Tech consultancy B13.AI and Tech WM have launched a West Midlands Digital Accelerator offering 50 funded AI feasibility reports to regional small businesses.
• A report gives firms a costed, practical assessment of where AI could help and what a realistic roadmap looks like, before any spend.
• A linked survey found 40% of businesses blocked from adoption by budget and 43% held back by delays or a lack of in-house expertise.

The scheme targets a familiar gap: plenty of SMEs suspect AI could help but have no clear, affordable way to find out where to start. A feasibility report is pitched as that starting point — mapping a firm’s operations, defining outcomes and pricing a route forward without committing to a large upfront project.

Lowering the barrier to entry

B13.AI argues the traditional software model fails smaller firms on three counts: high upfront cost, long timelines and a tendency to over-build. Its survey with the Greater Birmingham Chambers of Commerce puts numbers to the problem — 40% of businesses citing budget constraints and 43% citing project delays or missing internal expertise as blockers to AI or wider digital adoption.

The accelerator’s value is in de-risking the first step rather than the technology itself. CEO Gabrielle Crofts said there was “clearly a strong appetite to embrace AI within the region”. The firm also encourages businesses to interrogate their own operations first — where manual processes drain time, what better data would change, and whether existing software covers the crucial last 20% of need.

For the wider UK picture, the initiative is a concrete answer to a persistent question: how do smaller firms, without a data team to absorb the cost of a false start, actually begin? Regionally funded, advice-first schemes like this offer one template — though 50 reports is a modest pilot against the scale of the SME base, and the real test is what proportion convert feasibility into deployment.

Looking forward

If the West Midlands pilot demonstrates demand and follow-through, it could prompt other chambers and regional bodies to fund similar diagnostics. The model deliberately sidesteps the capital-expenditure hurdle that the survey identifies as the main brake on adoption — a useful signal for policymakers weighing how to spread AI beyond firms that can already afford to experiment.