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AI for Executive Assistants

The EA runs the information engine of the executive office. AI is the biggest upgrade that engine has ever been offered — if you stay the one steering it.

The role today

Executive Assistants have always been more than diary keepers. You are the filter, the memory and the early-warning system of an executive office — the person who knows where everything is, what actually matters, and what the executive needs before they ask. That has always been knowledge work of the highest order, even when the job title never said so.

How AI changes this role

AI helps you with

  • First-draft emails, agendas and minutes
  • Meeting summaries and action extraction
  • Research and background packs
  • Travel options and logistics legwork

You provide

  • Discretion and confidentiality judgement
  • Knowing what the executive actually needs
  • Relationships across the organisation
  • Priority calls when everything is urgent

This is The Knowledge Worker AI Framework™ applied to this role — AI takes the production, you keep the bookends.

Liza’s take

I worked as an EA for years before anyone called what I did ‘information management’. The best EAs I know were already doing information architecture — structured inboxes, meeting packs, bring-forward systems — long before the software caught up. AI doesn’t replace that instinct. It finally gives it power tools.

Where AI genuinely helps

Meeting preparation at speed

Brief an assistant on the attendees, the papers and the purpose, and get a first-cut preparation pack in minutes — you spend your time correcting and sharpening rather than assembling.

Inbox triage and drafting

AI drafts responses in a consistent tone for the routine 60 per cent of correspondence; you approve, adjust and keep the voice human.

Minutes and actions

Recorded meetings become draft summaries with owners and due dates. Your job shifts from typing to verifying — was that really what was agreed?

The corporate memory

A well-organised executive office in SharePoint — decisions, papers, precedents, properly labelled — becomes something AI can answer questions from. The EA who builds that becomes indispensable.

A day with AI

Morning: the assistant has already summarised overnight email and flagged three that genuinely need the executive. You verify, adjust one flag, and build the day’s brief from it. Before the board meeting: a preparation pack drafted from the papers — you correct one out-of-date figure it pulled from a superseded version, which is exactly why the document library’s Status column matters. Afternoon: minutes drafted from the recording; you check the two decisions that were worded delicately on purpose.

The risks

Confidentiality is the EA’s number one risk. You hold salary details, board papers, restructure plans — content that must never be pasted into tools your organisation hasn’t approved. Know which AI tools are sanctioned before you use any of them, assume anything you enter may be retained, and remember that AI summaries can be confidently wrong: the minute that misquotes a decision travels fast with your name on it.

Where the role is heading

I think the EA role is heading up, not out. The administrative layer shrinks; the judgement layer grows. EAs who own the executive office’s AI workflow — what’s automated, what’s verified, what stays human — move towards Chief of Staff territory. The title I expect to see more: Executive Business Partner, with AI workflow ownership written into the role.

Your learning path

Start with the cards below, in order — each one is a five-minute read built for a task this role repeats. The full K-Series (ten foundations, ten workflow cards) lives on the Knowledge Worker Playbooks hub.

Will AI replace Executive Assistants?

The administrative tasks are changing hands; the judgement, discretion and relationship work is not. EAs who direct AI — rather than compete with it — become more valuable, because one person can now run a bigger, faster information engine.

What should an EA never put into an AI tool?

Anything confidential that your organisation hasn’t explicitly approved for that tool: salary and HR matters, board papers, legal issues, personal data. When in doubt, don’t — and ask what’s sanctioned.

What’s the first AI skill an EA should learn?

Briefing. Treat AI like a capable junior: context, purpose, format, audience. EAs are usually brilliant at this within a week, because delegation is already the core of the job.