How can AI improve workplace productivity?

How Can AI Improve Workplace Productivity?

For years, "productivity" in the workplace meant working faster or working longer, basically, drink more coffee and hope for the best. AI is changing that equation. Instead of asking employees to do more in less time, AI takes over the repetitive, low-judgment work that eats up hours every week, freeing people to focus on the parts of their job that actually require a human brain (and, arguably, more coffee, but for better reasons).

Here's a look at where AI is making the biggest difference, and what it actually looks like in practice.

1. Automating repetitive, manual processes

Every company has at least one process that looks something like this: an email comes in, someone reads it, someone looks something up in a spreadsheet, someone sends a follow-up, someone logs that it happened. Multiply that by dozens or hundreds of times a week, and congratulations, you've invented a full-time job whose entire purpose is moving information from one place to another, like a very expensive game of telephone.

This is exactly the territory of workflow automation platforms like Zapier, Make, and n8n, which connect your inbox, CRM, and spreadsheets so information moves between them without a human relay. For higher-volume or more complex routing, tools like UiPath or Microsoft Power Automate can read an incoming email, pull data from existing records, notify the right people, and log the result end to end. The human role shifts from "doing the routing" to "handling the exceptions the system can't figure out on its own," which is a far better use of anyone's time, and considerably less soul-crushing.

2. Reducing the cost of human error

Manual data entry and manual lookups are where mistakes creep in, a misread name, an outdated contact, a missed step in a long checklist. AI systems, especially when paired with clear rules and validation logic, catch inconsistencies before they become expensive problems: a shipment going to the wrong location, a customer missing a critical pricing update, a compliance step that got skipped under deadline pressure on a Friday afternoon.

This isn't about AI being "smarter" than people, it's about consistency. A well-built automation applies the same rule the same way every single time, at 9 a.m. or 9 p.m., which is something even the most caffeinated, well-meaning employee can't guarantee after the hundredth repetition in a week.

3. Speeding up decision-making

AI tools can summarize documents, surface relevant data, and answer questions in seconds that used to take a search through email threads, shared drives, or someone's vague memory of "I think Dave mentioned this in a meeting once." That doesn't just save time, it changes how quickly decisions get made. Meeting assistants like Otter.ai or Fireflies turn a call into searchable notes and action items automatically. Sales teams can pull pricing and account history instantly through a CRM like HubSpot or Salesforce, paired with a tool like Gong for call insights, while a manager can get a project status summary through a workspace assistant like Microsoft Copilot or Notion AI instead of chasing five people for updates. All of that compounds across a week, a quarter, a year.

4. Freeing up time for higher-value work

Maybe the most underrated benefit: AI doesn't just make existing tasks faster, it changes what people spend their time on at all. When routine reporting, data entry, and file handling get automated, the hours that used to go toward "keeping the lights on" become available for strategy, relationship-building, and problem-solving — the work that actually grows a business and that AI still, mercifully, can't do on its own.

This is where a lot of companies underestimate the impact. The productivity gain isn't just "task X now takes 10 minutes instead of an hour." It's "the person who used to spend 15 hours a week on task X now spends those 15 hours on something no automation can replace", instead of quietly resenting a spreadsheet.

5. Making information easier to find and use

A huge share of workplace friction isn't "not having the answer", it's not knowing where the answer is. AI-powered search and summarization tools like Glean, Guru or Slack AI sit on top of a company's existing documents, chats, and systems, and let employees ask a plain question instead of digging through eleven folders named "Final," "Final_v2," and "Final_ACTUAL_final." For instance, instead of you knowing "the pricing doc is in the shared drive under Marketing > 2024 > Final_v2," you just type a plain-language question (like "what's our current refund policy?") into the search tool, and it scans across all the connected sources at once and pulls back the relevant document, message, or snippet. Regardless of which app or folder it's actually sitting in.

So the "friction" it removes isn't finding the answer itself. It's not needing to remember where the answer lives before you can look for it.

Getting started without overhauling everything

The companies that see the biggest productivity gains from AI usually don't try to automate everything at once, as satisfying as it might be to declare "no more manual data entry, effective immediately." They pick one process that's clearly repetitive, well-understood, and currently manual, something like routing a specific type of document, notifying the right contacts, or logging routine activity, and build a working version of that first. Once it's proven, the same pattern often extends to other processes.

The goal isn't to replace judgment. It's to remove the parts of a job that never needed judgment in the first place, so the people doing the work can spend more of their time on the parts that do — and considerably less time being a human copy-paste machine.

Send Muraico a message today to learn how AI can help your team work smarter, save time, and boost productivity.