Generative AI & Workplace Productivity
Develop a structured approach to AI-assisted writing, research, synthesis and routine professional tasks.
A considered approach to capability.
The value of generative AI depends on the task, the information supplied and the quality of review. This training area connects prompting techniques with the work your team needs to complete.
A learning engagement can examine familiar workflows, establish useful output criteria and build in the checking needed before a result is used or shared. Confidentiality and organisational tool requirements form part of the scoping discussion.
What the learning can cover.
The final scope is agreed around your audience and requirements.
- Defining a task and providing relevant context
- Drafting, editing and adapting workplace communications
- Organising and synthesising information
- Checking factual claims, sources and assumptions
- Developing repeatable prompts for suitable tasks
Define a useful result.
Agree the intended outputs and review arrangements before the engagement begins.
- A practical prompt structure for relevant tasks
- A considered review process for AI-assisted output
- Example workflows based on the agreed learning scope
Prepare for the discussion.
Identify two or three routine tasks your team would like to examine, along with the approved tools and information-handling requirements.
Include timing, location or format preferences, together with any technical, accessibility or information-handling requirements.
How we workScope, delivery & investment.
Each engagement is quoted to reflect the agreed scope, preparation and delivery requirements. The proposal should identify inclusions, responsibilities, review points and commercial terms.
Availability, timing and any specific requirements are confirmed before acceptance.
Discuss the capabilities your team needs.
Identify two or three routine tasks your team would like to examine, along with the approved tools and information-handling requirements.