AI and administrative tasks: how to improve efficiency

Save time with AI for administrative tasks and document management

5-minute read

Published August 17, 2026

From data entry and email sorting to meeting transcription and summaries, invoice filing and tracking, and initial CV screening, artificial intelligence (AI) can transform and simplify administrative tasks and document management in your SME.

“Anything repetitive has the potential to be automated,” says Marie Gallagher, former AI Business Solutions Manager at Explor.ai, a Canadian AI consulting firm.

She adds that AI can be a major efficiency tool, provided it is paired with human oversight.

AI can produce a draft, sort documents or suggest a response, but human validation remains essential to correct potential errors, enhance the result and add a personal touch.

AI use cases for administrative tasks and document management

1. Transcribing meetings and preparing follow-ups

Built-in features in conferencing tools, along with Canadian-developed transcription solutions such as Manni and Etranscription, can record virtual meetings, transcribe them and generate summaries and follow-up documents.

Gallagher stresses the importance of reviewing meeting transcripts and summaries, as they may contain errors. “But instead of spending an hour writing a meeting report, an action plan and a follow-up email after a client meeting, you will spend just a few seconds reviewing what the AI has produced. It’s very effective.”

2. Managing documents

Using RAG solutions, or retrieval-augmented generation, organizations can query large databases or document repositories and receive quick answers in clear, accessible language.

Key uses of AI in document management include:

data entry
automatic file classification
access to information
data extraction
automatic summaries of lengthy documents

For businesses that still rely on paper, the first step is to digitize their documents. “Then, we use optical character recognition to convert the documents into text that AI models can process,” explains Gallagher.

3. Automating invoicing

Low-cost accounting software already includes automation and AI features that can handle invoicing, payroll, expenses, and certain administrative reminders or follow-ups.

Automating invoicing becomes worthwhile for businesses that process a fairly high volume of invoices. “If you issue only 20 or 30 invoices a year, it’s not really worth automating your invoicing management,” says Gallagher.

4. Automating part of the hiring process

Generative AI can help draft job postings and automate parts of the hiring process, such as sending interview invitations, creating tests or assessments, and screening CVs.

“AI helps you identify the skills you’re looking for more quickly, without having to go through every application you receive manually,” says Gallagher.

AI can also help with internal scheduling by aligning your operational needs with each team member’s skills and availability.

While the efficiency and time-saving benefits of using AI in HR processes are clear, human oversight and validation remain essential.

“AI can introduce bias, put certain groups of employees at a disadvantage in the hiring process, or simply make mistakes,” says Gallagher.

5. Sorting your inbox and preparing email replies

AI agents can analyze your inbox, prioritize emails by importance and urgency, file them, and prepare personalized draft replies for each message.

AI agents are systems that can perform certain tasks autonomously by analyzing data, making decisions based on defined rules, and taking action in connected tools.

For example, a client email can be flagged as a priority and automatically linked to the appropriate client file. An invoice can be sent directly to the finance team for processing, and a meeting request can be added to your calendar.

AI agents are productivity tools. It’s important to clearly define their rules and boundaries.

6. Preserving knowledge and training the next generation

As the population ages, AI can also help businesses structure and preserve the knowledge held by experienced employees.

“Many companies risk losing years of accumulated expertise, because their ways of working are often captured only in handwritten notes or in the minds of people who are getting ready to leave,” says Gallagher.

By recording meetings, presentations, or work notes from your employees, your business can build a knowledge base that can be used to train younger team members.

How to get started

Start by identifying a repetitive task to automate or a bottleneck to eliminate. Appoint an AI champion who can answer questions from your teams.

Limit the number of tools you roll out at the same time, measure the results, learn from what works and what does not, and keep moving forward. Get support when integrating more complex tools, such as autonomous AI agents.

For SMEs with a lower level of digital maturity, it is best to start with generative AI tools. “You can test simple tasks, such as meeting summaries, email drafts, or follow-up notes after client meetings,” says Gallagher.

You can then move on to integrating AI into your existing systems, such as your accounting system or CRM.

Gallagher suggests approaching AI adoption projects the same way you would any other technology project.

AI can feel overwhelming. It can raise concerns among your teams, who may worry that certain tasks, or even jobs, could be replaced by AI. Change management and clear communication must be supported by a clear policy on AI use.

Above all, start now.

“AI adoption is no longer optional. It has become a strategic necessity for the growth and competitiveness of SMEs,” says Gallagher. “Just as people once thought Excel would replace accountants, AI will not replace every job, but it will profoundly change the way we work.”

Next step

Get advisory solutions and financing at preferred rates to adopt artificial intelligence, digital tools, and advanced equipment.