Most businesses have at least a few processes that everyone knows are inefficient.
Someone downloads a file and uploads it somewhere else. A request arrives by email and has to be forwarded to the right person. Information gets copied from one system into another. A spreadsheet has to be updated every Friday because that’s simply how it’s always been done.
None of these tasks seems particularly significant on its own.
But repeat them dozens or hundreds of times each month, across multiple employees, and those small inefficiencies become expensive.
The good news is that advances in AI and workflow automation mean many processes that once required constant human involvement no longer have to.
Here are seven places worth looking.
1. Sorting and Routing Incoming Requests
Think about everything that arrives in a typical business inbox.
Customer questions, quote requests, invoices, applications, support issues, vendor correspondence, internal requests, and countless other messages compete for attention.
Someone often has to read each one, figure out what it is, and decide where it needs to go.
AI can help automate that first layer of work.
An intelligent workflow can analyze an incoming email or form submission, determine its purpose, identify important information, and route it to the appropriate person or process.
Instead of one person acting as the organization’s human traffic controller, incoming work can begin moving almost immediately.
2. Moving Information Between Systems
This one is everywhere.
A customer completes a form.
Someone copies the information into a CRM.
Another employee enters part of it into a project management system.
Accounting eventually enters some of the same information somewhere else.
When systems don’t communicate with each other, employees become the integration.
Automation can connect those systems so information entered once can move wherever it needs to go.
That saves time, but it also addresses another problem: every manual transfer creates another opportunity for an error.
3. Routine Approvals
Not every approval requires someone to investigate the situation from scratch.
Many follow predictable rules.
A request comes in, someone verifies that certain information is present, checks whether it meets established requirements, and sends it to the appropriate person for approval.
Much of that preparation can be automated.
A workflow can collect the required information, validate basic conditions, flag exceptions, and send the reviewer everything needed to make the actual decision.
The human still makes the decision when human judgment matters.
They simply don’t have to do all the administrative work surrounding it.
4. Following Up on Outstanding Tasks
How much business activity depends on someone remembering to follow up?
A proposal hasn’t been answered.
An approval is overdue.
A customer hasn’t provided required information.
A project milestone is approaching.
An employee is waiting for someone else before work can continue.
These are small things until one gets forgotten.
Automated workflows can monitor status and trigger reminders, escalations, or next steps based on predefined conditions.
That means fewer sticky notes, calendar reminders, and messages beginning with, “Just following up on this…”
5. Extracting and Entering Information
Businesses receive useful information in all kinds of formats.
It might arrive in an email, PDF, form, spreadsheet, invoice, contract, report, or another business system.
Traditionally, someone had to open the source, find the relevant information, and enter it somewhere else.
AI can increasingly handle that work.
The important distinction is that extracting information doesn’t have to be the end of the automation.
Once captured, that information can trigger the next step in a larger workflow, such as updating a system, initiating an approval, creating a task, or notifying someone.
The document, email, or form is simply where the information entered the process.
6. Creating Routine Reports
Many businesses still spend hours building recurring reports.
Someone gathers information from several places, updates a spreadsheet, calculates totals, creates a summary, and sends it to management.
Then they do it all again next week or next month.
When the underlying information is available digitally, much of that process can often be automated.
Data can be collected from connected systems, organized automatically, and presented in a consistent format.
AI can also help summarize information, highlight exceptions, or identify trends that deserve attention.
The employee’s time can then be spent understanding what the information means rather than assembling it.
7. Internal Information Searches
Sometimes the inefficiency isn’t entering information.
It’s finding it.
Employees spend significant time searching through email, shared drives, internal documentation, project systems, policies, and other sources trying to answer questions the organization already knows the answer to.
Where is the latest procedure?
What happened with this customer?
Which version was approved?
What are the requirements for this request?
AI-powered knowledge tools can help employees search across approved business information using natural language and surface relevant answers much faster.
Done correctly, this doesn’t replace organizational knowledge.
It makes that knowledge easier to use.
The Best Automation Opportunities Usually Aren’t Dramatic
When businesses hear “AI transformation,” it’s easy to imagine replacing entire departments or rebuilding every system the company uses.
That’s usually not where we’d start.
Some of the most valuable opportunities are much less dramatic.
Look for the task someone performs 30 times a day.
The spreadsheet nobody likes maintaining.
The inbox one employee has to constantly monitor.
The information that gets entered twice.
The approval that always gets stuck.
The weekly report that takes three hours to prepare.
Those are clues.
Each one represents friction in a business process, and removing enough small points of friction can have a significant impact on how efficiently an organization operates.
What Should You Automate First?
Before choosing an AI platform or automation tool, identify the process.
Look for work that is repetitive, predictable, time-consuming, and performed frequently.
Then ask three questions:
Does a person need to perform this step, or have we simply always done it this way?
What information is needed for the next step to happen?
Where does human judgment actually add value?
The goal isn’t to remove people from every process.
It’s to use people where their experience, judgment, creativity, and relationships matter, while allowing technology to handle more of the repetitive work surrounding them.
Find the Friction Before You Choose the Technology
There are more AI tools available to businesses than ever before.
That doesn’t mean the answer is adding another piece of software.
The better starting point is understanding where work slows down, where information gets stuck, and where employees spend time doing things that don’t actually require their expertise.
Once you understand that, the technology becomes much easier to choose.
ExtractIQ helps businesses identify practical opportunities for AI-powered automation and build connected workflows around the way their teams actually operate.
If you’re not sure where automation could make the biggest difference in your business, start by finding the repetitive work your team wishes they didn’t have to do.