Tech consultancy launches AI guide for UK manufacturers through Chamber partnership
Tech consultancy launches AI guide for UK manufacturers through Chamber partnership
Birmingham-based technology consultancy B13 has launched AI for Manufacturers: A Practical Guide - a resource designed to cut through the noise surrounding artificial intelligence and digitalisation in the manufacturing sector.
The guide has been developed in partnership with the Greater Birmingham Chambers of Commerce (GBCC), drawing on survey data gathered directly from member businesses.
The guide addresses one of the most pressing but underreported challenges facing manufacturing SMEs today - that despite enormous pressure to adopt AI, 95 per cent of AI initiatives still struggle to demonstrate ROI.
The reason is often that businesses are jumping to AI before establishing the digital foundations that make it work.
In a survey conducted in partnership with the GBCC, B13 found that 40 per cent of businesses are blocked from AI or digitalisation adoption due to budget constraints and 43 per cent struggle with project delays or a lack of internal expertise
Research also revealed every manufacturer spoken to in the past 12 months believes they have lost work due to quoting delays
One of the guide’s central themes is the commercial cost of slow quoting.
In commoditised markets where pricing is comparable across suppliers, manufacturers who respond faster, more accurately, and with greater consistency are more likely to win work.
The guide details how digitising the quoting process - including drawing-to-3D conversion, production cost accuracy, and standardised margin logic - can reduce manual effort, increase capacity, and improve the overall customer experience.
B13 founder Tom Haworth (pictured), said: “A key message of the guide is that AI is not always the answer — at least, not yet.
“For manufacturers still operating on manual, paper-based, or people reliant processes, moving straight to AI is unlikely to deliver measurable value.
“The guide argues that businesses must first digitalise their core workflows, capture and structure their data, and integrate their systems before AI can be effectively deployed.
“A solid digital foundation is not just useful - it is essential.
“The conversation around AI in manufacturing is too often dominated by hype and enterprise-scale case studies that simply don’t translate to SMEs.
“We wanted to create something honest, practical, and actionable.
“The real opportunity for most manufacturers right now isn’t AI - it’s getting their data and processes in order so that AI can actually work when they’re ready for it.”
The guide includes a step-by-step framework to help manufacturing leaders identify and prioritise their highest-value digitalisation opportunities before committing budget.
This includes guidance on identifying operational bottlenecks, quantifying the financial opportunity of each, and calculating ROI - illustrated with a worked example showing how a 5 per cent improvement in quoting win rate on £20m annual revenue could unlock £1m in additional income per year.
The recommended process follows five steps: identify bottlenecks, calculate opportunity value, conduct discovery and scoping, build a prioritised investment list, and secure fixed-scope, fixed price delivery from providers.
