Sales & Service
Summarise enquiries, find approved information and draft responses for review.
07 / AI TRAINING
AI training for teams built around their real work
Role-aware workshops using agreed work examples, with practical exercises, answer checks and clear points for human review.
Plan AI trainingWHO IT IS FOR
For organisations that want teams to use AI deliberately, from first-time users to teams preparing for automation, without unnecessarily exposing sensitive information.
OUR APPROACH
Define the outcome, scope and acceptance criteria before choosing technology, so the investment solves a real problem and remains maintainable.
PROBLEM
Problems to solve before adding another tool.
- Teams use tools inconsistently
- Generic demos do not transfer to daily work
- There is no guidance for checking output or handling sensitive data
- Training ends without a usable next step
OUTCOME
What the team should be able to do after the workshop
- Learning goals for each role
- Exercises based on work or safe sample data
- An output-quality and data-use checklist
- A small follow-up use case to test
USE CASES
Useful scopes shaped around the work.
Operations
Identify repeat work and design checkpoints before automation.
Leaders
Choose use cases, success criteria and risk boundaries.
Technical Teams
Review APIs, data access, test sets and human handoff for a pilot.
WORKSHOP DESIGN
Design workshops around the team’s real work
Use the team’s actual tasks, practise with approved information and define how outputs are checked before use.
Inputs
- Team roles
- Real work examples
- Tool access
Outputs
- Hands-on exercises
- Review checklist
- Next-step plan
DELIVERABLES
Deliverables that can be accepted and operated.
Role and task discovery
Workshop objectives and agenda
Exercises with review criteria
Data-use and answer-check guidance
Follow-up use-case shortlist
SCOPE & INVESTMENT
Scoped around the work—not the service label.
Scope depends on learner groups, starting level, session length and preparation of organisation-specific examples. Topics, deliverables and external tool costs are agreed before quotation.
- Groups and roles
- Workshop depth
- Preparation of work examples
- Tools and accounts used for exercises
FAQ
Questions before the work begins.
Do workshops need real company data?
No. We can use synthetic or de-identified examples and agree exactly what information is permitted before the workshop.
How does training differ from AI consulting?
Training develops team skills through exercises. Consulting prioritises use cases, reviews data and systems, and defines a pilot. They can complement each other.
Can training lead straight to automation?
Some work may be ready, but the workflow, data, permissions and test results should be checked before production use.
EXPLORE NEXT
Useful context for choosing the right scope.
Have a problem worth scoping clearly?
Share the context, outcome and systems involved. We will help identify the questions to answer before investing.
Start the conversation