AI TRAINING
AI Fundamentals for Small Manufacturing Job Shops
Equip job shop owners to automate quotes, SOPs, and supplier comms using practical AI tools.
What it covers
A two-day hands-on workshop designed for owner-operators of small fabrication and machining shops. Participants learn to use AI tools for RFQ-to-quote drafting, technical drawing review prompts, shop-floor SOP generation, and supplier email triage. The programme also introduces simple predictive-maintenance starter concepts requiring no data science background. By the end, attendees leave with ready-to-use prompt templates and a prioritised action plan for their own shop.
What you'll be able to do
- Draft a structured RFQ-to-quote prompt that extracts key specs and generates a first-pass cost estimate
- Write a drawing-review prompt that flags tolerance, material, and finish requirements from a 2D/3D file description
- Generate a formatted, shop-ready SOP for a machining or fabrication process using an AI text tool
- Set up a simple email-triage workflow to categorise and prioritise supplier and customer messages
- Identify one relevant predictive-maintenance data signal in their shop and outline a low-cost monitoring approach
Topics covered
- RFQ interpretation and AI-assisted quote drafting
- Prompt writing for technical drawing review
- Generating and maintaining shop-floor SOPs with AI
- Supplier and customer email triage using AI tools
- Introduction to predictive-maintenance data signals
- Selecting and evaluating AI tools on an SME budget
- Data privacy and IP considerations for shop data
Delivery
Delivered on-site or in a regional training centre; participants are encouraged to bring their own laptops and real RFQs or SOPs to work on. Approximately 60% hands-on exercises, 40% facilitated instruction. A shared prompt-template library and reference guide are provided digitally. Remote delivery is possible via video conferencing with breakout rooms, though on-site is strongly preferred for this audience.
What makes it work
- Starting with one high-frequency, low-risk task (e.g., supplier email drafts) to build team confidence
- Assigning a designated 'AI champion' in the shop who owns template maintenance and iterates on prompts
- Running a brief weekly review of AI-assisted outputs to catch errors and improve prompts over time
- Connecting AI adoption to a measurable shop metric (e.g., quote turnaround time) from day one
Common mistakes
- Attempting to automate quoting before establishing a consistent internal pricing logic the AI can follow
- Sharing sensitive customer drawings or proprietary process data with public AI tools without reviewing privacy settings
- Expecting AI-generated SOPs to be audit-ready without a human review and sign-off step
- Buying expensive AI software before validating use cases with free or low-cost tools first
When NOT to take this
This workshop is not the right fit for a shop that already has a dedicated IT or data team and is evaluating enterprise MES or ERP-integrated AI — they need a practitioner-level technical programme, not a literacy-focused introduction.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.