AI TRAINING
AI Fundamentals for Small Manufacturing Job Shops
Equip job shop owners to automate quotes, SOPs, and supplier comms using practical AI tools.
See if this training is the right one for your team — free diagnostic
Run the diagnostic →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
Other trainings at this level
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.