Enterprise AI workshop
AI Training for Non-Technical Teams
Build practical AI skills for everyday business work, with clear instructions, source checks and human review.
Published 20 October 2026
Learning outcomes
What participants work towards
The workshop is scoped around your team. These intended outcomes guide the discussion and practice.
Compare a draft business summary against its source material.
Create a reusable task brief with quality criteria and a review owner.
Curriculum
A practical learning sequence
Indicative modules for an instructor-led group. The final agenda, exercises and timing are agreed before booking.
- 01
Define the task
Specify the intended reader, source material and expected output.
- 02
Practice with boundaries
Use approved information and make missing facts explicit.
- 03
Review the result
Check each claim against the source and correct omissions.
- 04
Plan a supervised next step
Document the workflow, review owner and remaining limitations.
Before the workshop
Come ready to work on something real
Choose a recurring task and approved or fictional sample material. Confirm tool access and identify a reviewer.
Check understanding
Make learning observable
Participants explain how they checked an output and identify a condition that requires stopping or escalating.
Workshop outputs are learning evidence. Business impact requires follow-through and separate measurement.
Build practical AI skills for everyday business work, with clear instructions, source checks and human review. Start with a recurring task, identify the people who review it and agree what information is permitted before choosing a tool.
Practical exercises for your team
These are illustrative learning activities. The final agenda, tool access, delivery format and fees are agreed during scoping.
- Turn approved meeting notes into a draft action list with owners and missing decisions.
- Compare a draft business summary against its source material.
- Create a reusable task brief with quality criteria and a review owner.
Keep responsibility visible
Use fictional or approved sample documents. Participants check facts, omissions and unsupported conclusions before sharing a draft. A fluent answer is not evidence of accuracy.
No coding background is required for these task-design exercises. Tool access and organizational approval are separate prerequisites for hands-on practice.
Measure learning before claiming impact
Compare an initial task attempt with a reviewed example. Record corrections, remaining gaps and the conditions for a supervised workplace trial. Training attendance alone does not establish productivity gains.
Frequently asked questions
What should we bring?
Bring a recurring task, approved sample material and the person responsible for reviewing the result.
Does the workshop include system integration?
The indicative scope is learning and task practice. Any integration or implementation would require a separately agreed scope.
Start with your business challenge
Shape the workshop around your team.
Tell us the team or function, approximate participant count, current tools, preferred format and the challenge you want to address.
Dates, facilitator, deliverables and commercial terms are agreed before booking.
Email AISFY about a workshop →We reply within one business day.