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AI workflow automation for PAs: Which admin tasks can you automate?

Whether you’re a fan of AI or not, we’ll keep highlighting the benefits artificial intelligence can bring to our daily working lives, especially for PAs and EAs. From managing emails and scheduling meetings to transcribing calls and drafting speeches and documents, AI tools can help you work more efficiently and productively. And who doesn’t love that?

In this article, we’ll look at the typical tasks of every EA and PA role, and how AI can help to improve your workflow and clear time for more important, strategic actions.

1. Automate reminders and follow-ups

One of the most practical uses of AI workflow automation is reducing the time spent keeping track of outstanding tasks. PAs and EAs often coordinate multiple projects, manage competing deadlines and chase colleagues for updates. Automating routine reminders can help keep everything moving without requiring constant manual input.

For example, you could set up a workflow that sends a reminder when a deadline is approaching, flags an overdue task or prompts a colleague to confirm an appointment. Some AI automation tools can also identify follow-up actions from emails and meeting notes, helping you spot tasks that might otherwise get lost in a busy inbox.

You could use automation to:

  • Send reminders before meetings, appointments and deadlines.

  • Flag overdue tasks and outstanding approvals.

  • Prompt colleagues to provide missing information.

  • Create follow-up tasks after a meeting or project update.

Start with predictable, low-risk tasks and establish clear rules for when reminders should be sent. Before automating messages to executives, clients or external stakeholders, check that the wording and timing are appropriate. A friendly nudge to a colleague may be suitable for automation, while a sensitive request may need a personal approach.

2. Turn emails and meeting notes into tasks

Another way to automate admin tasks is to connect information capture with task management. Instead of manually reading through messages, copying details and creating reminders, you can use AI to extract relevant information and prepare tasks for your approval.

Imagine an executive emails you asking for three suppliers to be contacted before Friday. A suitable workflow could identify the request, suggest three separate tasks, assign a deadline and add them to your task management system.

The same principle applies to meetings. AI can summarise discussions, identify potential action points and prepare a list of tasks based on the conversation. You can then review the list, confirm who is responsible and add the approved actions to your project management tool.

PA Life’s guide to using AI tools to create team briefings faster explores how AI can help assistants turn information into more useful, structured updates.

The key is to treat AI-generated tasks as suggestions rather than confirmed commitments. Check deadlines, ownership and context before adding them to a shared system or telling someone they are responsible for an action.

3. Move information between workplace tools

PAs and EAs rarely work in one system. An email might contain a meeting request, a spreadsheet might hold supplier details, and a project management platform might track the next steps. Moving information between these tools manually can be repetitive and time-consuming.

Workflow automation tools such as Zapier, Make and Microsoft Power Automate can connect compatible applications and trigger actions when something happens. For example, a new form submission could create a task, an approved email attachment could be saved to a designated folder, or a calendar event could trigger a preparation checklist.

Depending on the applications and permissions available, you could create workflows that:

  • Transfer information from forms into spreadsheets.

  • Create tasks from approved requests.

  • Save documents to the correct shared folder.

  • Notify colleagues when a project status changes.

  • Update a central tracker when a task is completed.

Some platforms also offer AI features that interpret information before passing it between systems. This can be useful when incoming requests vary in format or contain unstructured information.

If you’re exploring how these technologies fit into everyday work, PA Life’s article on how people use ChatGPT looks at how AI is increasingly being used to support tasks such as drafting, summarising and organising information.

Before building a workflow, map out the process you want to improve. Automating an inefficient process won’t necessarily make it better. Check that the information reaches the correct destination, that errors can be identified and that sensitive data isn’t being shared unnecessarily.

4. Speed up research and information capture

Preparing an executive for a meeting, researching a potential supplier or compiling a team briefing can involve gathering information from multiple sources. AI workflow automation can help reduce the time spent collecting, organising and summarising that material.

For example, you could use an AI tool to summarise a lengthy report, extract key figures from an approved document or organise research into a structured briefing. With suitable integrations, information from several sources can be brought together in one place, ready for you to review.

You might also automate the initial stages of recurring research tasks, such as compiling weekly industry updates or gathering information for regular team meetings.

The important distinction is between collecting information and deciding what it means. AI can help identify relevant details, but it may overlook context, misinterpret figures or present inaccurate information confidently. Check important facts against the original sources before including them in a briefing or sharing them with an executive.

For more on the benefits and limitations of this approach, read PA Life’s guide to the pros and cons of AI.

5. Know which tasks still need a human touch

Although AI automation tools can save time, not every task should be handed over to a system. The most effective workflows leave room for human judgement, particularly when a decision affects other people, involves confidential information or carries financial or reputational risks.

For PAs and EAs, this distinction is especially important. Your role often involves understanding an executive’s preferences, recognising when priorities have changed and handling sensitive situations with discretion.

Use automation to prepare a draft, flag a deadline or organise information, but consider keeping human approval in place for:

  • Sending sensitive emails or messages to senior stakeholders.

  • Confirming bookings, payments or financial transactions.

  • Sharing confidential documents or meeting summaries.

  • Making changes to an executive’s diary at short notice.

  • Assigning responsibilities or communicating important decisions.

  • Handling complaints, personal matters or delicate workplace situations.

Nicholas Barnard, Board EA & Operations at PrettyGreen is an Executive Assistant who supports the CEO and board at PrettyGreen, an award-winning creative PR and communications agency.

He says: “Use technology to reduce repetitive administration, organise information, improve processes and free up time for the things that require a human: judgement, relationship building, discretion, creativity and problem-solving.”

Data protection should also be a priority. Before connecting workplace applications to an AI service, check your organisation’s policies and confirm that the tools are approved for the information you’ll be processing. Avoid entering confidential business information or personal data into unapproved systems, and ensure that automated workflows follow the same access and retention rules as your existing processes.

How to get started with AI workflow automation

You don’t need to automate your entire working day at once. Baby steps are fine. Start by identifying the repetitive tasks that take up the most time, then choose one workflow to test.

A simple approach is to:

  1. Identify the bottleneck. Look for tasks you repeat every day or week, such as chasing people for updates, sending repetitive information or creating meeting follow-ups.

  2. Choose the right tool. Check whether your existing workplace software already offers automation and try it out yourself features before investing in another platform.

  3. Set clear rules. Define what triggers the workflow, what information it can access and when a person needs to approve the next step.

  4. Test before rolling it out. Use a low-risk example and check that the workflow works as expected, including how it handles missing or incorrect information.

  5. Review the results. Assess whether the process genuinely saves time and makes work more accurate. Adjust it if it creates extra checks or unnecessary notifications.

Ultimately, AI workflow automation isn’t about removing your role completely from the process. It’s about reducing repetitive admin so you can focus on the work that benefits most from your experience, judgement and organisational skills. Start small, keep appropriate human oversight in place and build on the workflows that make a measurable difference to your day.