Good work to support.
- Finding and summarising relevant information.
- Classifying documents and drafting structured outputs.
- Preparing research with traceable sources.
- Helping people navigate a defined workflow.
Find where AI supports a real task, then design the information, tools and controls around it.
Explore an opportunityUseful context.
Clear boundaries. Human judgement.
Choose the simplest approach that fits the work. Select an approach to see where it belongs.
When the conditions and the action are clear, a straightforward rule or integration may do the job well.
Illustrative exampleA submitted enquiry creates a record and notifies its owner.
Start here when the process does not need interpretation.Use a model for a bounded language or document task inside a process whose next steps are already defined.
Illustrative exampleSummarise an incoming document, attach the source and ask a person to check the draft.
Evaluate output quality, missing information and failure handling.A model uses permitted tools, looks at the results and chooses further steps within explicit limits.
Illustrative exampleGather information for a meeting, notice a missing record and ask for clarification before continuing.
More autonomy means more work on reliability, control and security.Select a layer. This is a conceptual view of the design questions, not a blueprint every AI product must follow.
A model can draft, classify, summarise or reason over an input. It needs a clear job and a way to assess whether the output is useful.
Relevant documents, current records and the purpose of the task. Choose what the model can see, keep sources traceable and surface gaps.
Defined connections let a system retrieve information or propose an action. Access should be limited to the task and the user’s permissions.
The process decides what happens next, when to retry, when to stop and when to ask a person. More autonomy calls for stronger checks.
Important decisions, uncertain outputs and consequential actions need an appropriate review point and a clear owner.
An example of how connected tools and relevant information can change the experience.
“Prepare me for tomorrow’s customer meeting.”
Illustrative example“Here’s a suggested agenda and a few preparation tips.”
Useful advice. You still find the information.The brief is prepared from the context you’ve permitted it to use.
Select a step to see the work behind it.Find tomorrow’s customer meeting in the calendar you have allowed the system to read.
Attendees identified from the invitation. If there are two plausible meetings, ask which one.
Retrieve relevant records, recent exchanges and documents within the user’s permissions.
Current objectives, the last conversation and open actions. Missing or conflicting records stay visible.
Look for relevant company developments. Keep sources attached and distinguish evidence from interpretation.
Recent updates sit beside their source links. Uncertain matches are flagged rather than treated as facts.
Assemble a concise briefing around the purpose of the meeting, with open questions and gaps.
Account summary · previous commitments · suggested discussion points · questions to clarify.
Check the evidence, correct the gaps and decide what to use. Nothing is emailed or committed on your behalf.
The system gathers and prepares. You decide what matters, what is correct and what happens next.
A design illustration, not a client delivery or a live integration. No tools are connected and no data is sent.
Sometimes you need a clearer process or a simpler piece of software. That is a useful answer too.
Map a real workflow, find a bounded opportunity and prototype it with appropriate data. Test usefulness, failure cases and the review experience before deciding how far to take it.
I connect product design with technical decisions and AI-assisted implementation. Responsibilities, data handling and release criteria need to be explicit.
See a real publishing workflowWhether you’re exploring an idea, improving a process or figuring out where AI fits, I’d be happy to talk.