Documents and reporting
Review how documents are read, summarised and turned into reports. Choose the steps that can be piloted with approved data, and name who checks accuracy.
IT Genius AI Transformation
From a business need to an AI plan your team can act on
Start with the work you want to improve. Link skills development to a clearly scoped AI pilot, then use what you measure to decide how to proceed.
Start small and see it work before scaling up
- 1
Discover
Identify the workflow, its owner and the outcome that matters.
- 2
Build capability
Select workshops and exercises that fit the team’s starting point.
- 3
Pilot
Agree a prototype scope, approved data and human review.
- 4
Evaluate
Compare results with a baseline before deciding to scale.
This path is a framework for discussion. We will assess what is suitable and propose a scope for training, consultancy or prototype development according to your needs.
Three starting points for a conversation
These examples are ways to explore opportunities, not claims about results from completed client projects.
Workflow and automation
Identify repetitive work between systems, approval points and cases that need a human decision before designing an integration or prototype.
AI for software teams
Discuss using AI to support coding, testing and review, together with data rules and quality standards the whole team shares.
Readiness & Governance
Readiness covers people, work and data
Before a pilot begins, we review the project owner, the team’s starting point, working processes, usable data, existing tools and usage guidelines with you, including what happens when an output is wrong.
Policy work, risk assessment and specific standards must be scoped with the people responsible in your organisation. Training is not the same as certification against a standard.
What a scoping discussion should produce
- The chosen use case and its owner
- Readiness and the constraints to address
- Pilot scope and deliverables
- Before-and-after measures
- Budget, timeline and decision steps
Questions before starting AI transformation
Where should AI transformation start?
Start with the problem in the work and the person responsible for it. Define the outcome you want, the data you can use and how success will be measured before choosing tools or scaling up.
Do we need to buy AI tools first?
Not at the discussion stage. Review your organisation’s existing tools and constraints first, then agree licences, costs and the data to be used for the pilot.
Can you guarantee how much cost we will save?
It has to be measured on real work; no single figure can be guaranteed for every organisation. Set a baseline, such as working time, error rate and review time, and compare it after the pilot.
Start with your business goals
Let’s plan your team’s next step
Tell us what you want to improve. We will discuss the audience, scope and delivery format before preparing a proposal.
You can start without a course name, tax ID or attendee list.