AI support and implementation
AI support for your business when training alone is not enough.
Practical follow-up for businesses bringing AI into their workflows: assistants, prompts, documents, spreadsheets, working methods and team questions.
- Put ideas from training into day-to-day use
- Organise prompts, templates and assistants
- Improve workflows, documents and spreadsheets
- Ongoing team support without unnecessary technical jargon
Businesses I have worked and trained with
The challenge
After training, the question is often: how do we put this into use?
Training starts the process. The benefits emerge when people apply AI to their quotations, writing, spreadsheets, meetings, internal guidance and recurring decisions.
Many ideas, no clear next step
The team has ideas but no clear order for starting and completing the first solution.
Everyone experiments separately
Without agreed templates, prompts and rules, use becomes fragmented and quality varies.
Daily work pushes implementation aside
Good ideas never reach the workflow because nobody has time to organise, test and make them easy for the team to use.
How can I help?
AI support focuses on work that needs completing.
We choose a specific process, document or recurring task and develop a practical solution with a clear purpose.
Improving a process
Identify where AI can reduce repetitive steps, improve quality or speed up preparation.
Templates and instructions
Create reusable prompts, review questions and guidance for the team.
GPTs and assistants
Build or improve internal assistants with a clear purpose, inputs and boundaries.
Writing, files and spreadsheets
Work through documents, spreadsheets, reports or quotations and make the method understandable.
Questions and feedback
Support your team when questions arise during daily use, beyond the examples in a training room.
Boundaries and quality checks
Agree what can be shared with AI, what cannot, and how results are checked before use.
Who is it for?
Businesses already interested in AI that need a more consistent way to use it.
AI support works well after training, a management workshop or initial experiments with ChatGPT, Copilot, Claude or another tool when results are still inconsistent.
Format
The scope of support follows what you need to implement.
AI support can be a short follow-up after training, monthly assistance or a project focused on one workflow.
Follow-up after training
Keep the momentum, answer questions and put the first templates into use.
Ask about follow-up supportAI support for your team
Regular help with workflows, prompts, assistants and use cases.
Ask about monthly supportImplement one workflow
Complete a specific process together with guidance, templates and checks.
Discuss a projectHow does it work?
One small, specific and verifiable step at a time.
We do not need to change everything at once. We choose a place where the effect will be visible and build a working solution there.
Understand the situation
Identify time-consuming work, inconsistent quality or confusion around existing AI use.
Choose a priority
Select a clearly defined workflow where improvement will help the team.
Build the approach
Create the prompts, templates, assistant, instructions or process needed for the task.
Put it into team use
Test, improve and agree how the team will use it day to day.
What does this not include?
AI support is not a 24/7 IT helpdesk or a promise to automate an entire business overnight.
It is practical collaboration to introduce AI sensibly into a workflow. Software development, complex integration or a legal data-protection audit are identified and scoped separately when needed.
FAQ
Frequently asked questions
A few answers before we agree the right support format.
Is AI support suitable after training?
Yes. It is a natural next step for turning ideas from training into useful working methods.
Can you help create internal GPTs or assistants?
Yes, when the assistant has a clear purpose and use case. I help define its inputs, instructions, boundaries and checks.
Does AI support include software development?
Not automatically. We usually start with methods, prompts, templates and existing tools. Development is scoped separately if needed.
Can you help with documents and spreadsheets?
Yes. Document summaries, extracting spreadsheet information, reports and recurring writing are common use cases.
Is support monthly?
It can be. Depending on your needs, we can agree a short follow-up, monthly support or a project for one workflow.
How do we address data security?
Before starting, we agree which data may be used, which must be excluded and how AI-generated results will be checked.
Have AI ideas but struggling to make them stick? Let’s put a process in place.
Tell me which workflow, team or use case needs the most support.