The short answer
AI implementation means making a defined piece of work function in a real business: the information, software, checks, people and handover all need to fit together.
Choose a piece of work you can explain
Bring a recent example of a task that caused unnecessary copying, searching or drafting. Describe what started it, what information was needed and what somebody did with the result.
That example is more useful than a request to add AI everywhere. It gives the conversation a boundary and a way to judge whether a proposed change would help.
What turns an idea into an implementation?
A convincing demonstration is a starting point. An implementation also needs representative tests, a way to handle incomplete information, an agreed review step and somebody responsible for running it.
Our approach connects business discovery with technical feasibility. Stu works through the business priorities; Dan works through the information, systems and implementation.
Define the result before choosing the tool
Agree what the person doing the task should receive and how they will check it. A draft report, a sorted enquiry or a prepared document each needs different inputs and different safeguards.
- Identify the person who owns the process.
- Collect suitable examples, including exceptions.
- Define what requires a person’s approval.
- Agree how the team will use and maintain the result.
Put this into practice
AI Setup & Integration
ChatGPT and OpenAI integration for small and medium-sized businesses. Connect useful information, clear instructions and the systems your team already uses.
Custom AI Tools
Custom AI tools for small and medium-sized businesses. Practical assistants, internal applications, document tools and dashboards built around your work.