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Practical ways to use AI through search for everyday planning

A quick briefing on how AI assisted tasks can translate into day to day workflow improvements, using dinner party planning as the model example.

28 July 2026

Close-up of AI-assisted coding with menu options for debugging and problem-solving.
Photograph by Daniil Komov · Pexels

Today is a good reminder that AI assisted planning is no longer limited to specialist workflows. Recent guidance describes AI features that can support a full set of small planning tasks, from drafting options for a menu to helping with the look and feel of a setting, using search as the interface.

For business teams, the takeaway is not the theme. It is the workflow pattern, AI helps you turn an intent into multiple workable drafts, then you review, select, and refine.

What changed in the underlying capability

The update focuses on AI features that can support multiple related tasks in one planning flow. Rather than generating only a single response, the examples cover breaking work into distinct parts, such as menu ideas and visual layout suggestions, and helping with other planning steps.

What business teams should do next

Map the same pattern to your own operations. Start with a concrete task that currently requires repeated back and forth, for example creating first drafts of a customer facing pack, planning internal events, or preparing a set of options for a short list of deliverables. Then test whether AI through your search experience can help produce structured options for each subtask, so humans can pick, adjust, and finalise.

  • Pick one workflow with clear inputs and outputs, for example draft options for a plan and then a set of final choices
  • Run a short pilot and document time saved for the first draft step through to the final selection
  • Put a simple review step in place so staff validate requirements, tone, and factual details before anything is shared with customers
  • Keep the scope tight for the first test, focusing on planning and drafting rather than decisions that require policy or legal certainty

Operational considerations

Because these features assist with generating planning outputs, your risk controls should centre on review. Treat the AI output as a draft, then apply your usual checks before it becomes part of internal operations or customer facing communications.

Next step

Start with the free AI Opportunity Assessment.

A short, no-obligation conversation about where enquiries, hours and revenue leak today. You do not have to pick a tier to have it, and what comes out of it feeds Discover, so the first paid day starts from evidence rather than a blank sheet.