Employees
Organize, compare, draft and verify approved information while preserving sources and human decisions.
Practical AI for Connecticut manufacturing teams
Build useful AI habits without losing control of the work.
Learn how to use Microsoft Copilot safely, build a bounded low-code agent when you are ready, and recognize when a customer-controlled custom capability is justified.
- No customer data required
- Simulation works without a Microsoft license
- Human authority stays explicit
12step-by-step lessons
2role-based paths
3substantive public resources
0customer files needed
Built for the whole operating system
Useful at different levels of the company.
The academy starts with employee proficiency and adds deeper material only when a role needs to design, review or support a controlled workflow.
Process champions
Turn a bounded task into a tested Copilot Studio agent or workflow without self-authorizing production.
Executives, IT and quality
Understand ownership, data, authority, evaluation and the point where custom engineering needs formal review.
Choose the right depth
One foundation, two learning paths.
Every learner starts with practical safety and Copilot proficiency. Technically inclined process champions can continue into agents, integrations, Azure-hosted models and managed AI.
Employee core · 3–4 hours
Practical Copilot for Manufacturing
Organize, compare, draft and verify manufacturing information without giving AI approval authority.
- Safe data and approved sources
- RFQ intake and revision comparison
- Verified artifacts and a completion certificate
Optional extension · 2–3 hours
Manufacturing AI Process Champion
Design a bounded Copilot Studio agent, compare connection options and understand where customer-controlled custom APIs, Azure models and Codex fit.
- Readiness and access checks
- Low-code agent simulation
- Custom capability and AI-management boundary
Useful before registration
Start with a practical resource.
Each resource names its source, review date, operating boundary and next lesson. No company documents are needed.
Worksheet · 12 min
Choose a Safe First AI Workflow
Screen candidate tasks for repeatability, approved information, human review and a measurable operating result before selecting a pilot.
Open resource →Checklist · 10 min
RFQ AI Verification Checklist
Check packet completeness, controlling revisions, assumptions, citations and reserved decisions before an AI-assisted RFQ summary enters contract review.
Open resource →Reference · 8 min
Manufacturing AI Assistance and Authority Map
Map what AI may retrieve, compare, organize and draft—and name the person who keeps approval, commitment and release authority.
Open resource →Learn through a realistic information flow
Meet Elm River Precision.
A fictional Connecticut contract manufacturer gives every exercise operational context—from customer RFQ to controlled production and delivery. All files are synthetic, so learners can practice without exposing company information.
Use the RFQ verification checklist →RFQ→Review→Plan→Make→Verify→Ship