How manual approval processes create unnecessary delays, and what businesses can do to keep work moving.
A purchase request comes in on Monday morning. It needs a manager’s approval before accounting can process it.
The manager is busy, so the request sits in their inbox. On Wednesday, someone follows up. The manager approves it, but now accounting needs a supporting document that wasn’t included in the original email.
Another message goes out. Someone tracks down the attachment. By Friday, everything is finally ready.
The actual decision took about 30 seconds.
Getting to that decision took five days.
Situations like this happen every day in businesses of all sizes. Purchase orders, contracts, invoices, expense reports, employee requests, and project changes all pass through approval processes that can be surprisingly complicated.
And often, the problem isn’t the approval itself. It’s everything happening around it.
Where Approval Processes Get Stuck
Most approval workflows begin with good intentions. Businesses need oversight, clear responsibilities, and a way to make sure the right people review important decisions.
But over time, those processes can become a collection of emails, attachments, spreadsheets, and reminders.
An employee submits a request. Someone forwards it to a manager. The manager asks for additional information. The request goes back to the employee, then returns for approval. Once approved, someone manually notifies the next department.
Each step may seem reasonable on its own.
The difficulty is that nobody has a clear view of the entire process.
Where is the request now? Who needs to act on it? Has it already been approved? Is something missing? Did the next department receive it?
When answering those questions requires searching through email conversations or contacting several people, the approval process has become more complicated than it needs to be.
The Cost of Waiting Isn’t Always Obvious
When businesses look for inefficiencies, they often focus on the time employees spend performing tasks.
But waiting can be just as expensive.
Consider a project team that needs approval to purchase materials. Until that approval arrives, the team can’t move forward.
Or an invoice waiting for review while the accounting department approaches its payment deadline.
Or a customer agreement that sits in someone’s inbox while the sales team waits to begin work.
The approval might require only a few minutes of someone’s attention, but the delay can affect several other people.
Employees spend time following up. Managers interrupt their work to answer status questions. Projects lose momentum, and customers may experience delays without understanding why.
Over time, those small interruptions become part of the organization’s normal operating costs.
The Problem With Email-Based Approvals
Email is useful for communication, but it wasn’t designed to manage complex business workflows.
When approvals happen primarily through email, several problems can develop.
Requests get buried beneath other messages. Supporting documents become separated from the original request. Multiple versions of a file circulate between departments. Someone replies to an older message without realizing the information has changed.
And when a manager is out of the office, employees may not know who has the authority to approve the request in their absence.
There’s also the challenge of maintaining a reliable record.
If someone needs to determine who approved a purchase six months ago, they may have to reconstruct the decision from an email thread.
For organizations with compliance, audit, or documentation requirements, that can create additional work.
The issue isn’t that employees are using email incorrectly. It’s that email is being asked to perform a job better suited to a structured workflow.
What a Better Approval Process Looks Like
Imagine that same purchase request from the beginning of this article.
Instead of sending an email and hoping it reaches the right person, the employee submits the request through a defined process.
The system checks whether the required information is present and routes the request to the appropriate manager.
The manager receives a notification with the details needed to make a decision. If additional information is required, the request can be returned with a clear explanation.
Once approved, the system records the decision and automatically notifies accounting or triggers the next step.
Everyone involved can see where the request stands without sending another email.
The manager still makes the decision. Accounting still performs its responsibilities. The organization still maintains its approval requirements.
What’s changed is the amount of manual coordination needed to move the request forward.
That’s where workflow automation can make a meaningful difference.
Automation Should Support Decisions, Not Replace Them
There’s a common misconception that automation means removing people from business processes.
In reality, some of the most useful automation happens around the work people still need to perform.
A manager may need to review a contract. A department head may need to authorize an expense. A compliance officer may need to evaluate an exception.
Those decisions require judgment and accountability.
But the surrounding activities don’t necessarily require the same level of human attention.
Routing documents, checking whether required fields are complete, notifying reviewers, recording decisions, and updating related systems are all examples of activities that may be automated.
The result is a process where employees spend more time making informed decisions and less time managing the paperwork surrounding them.
Where AI Can Help
Not every approval request arrives in a clean, standardized format.
A vendor might email an invoice as a PDF. A customer might send a contract with several attachments. An employee might submit supporting documentation as scanned images.
Before an approval can happen, someone may need to open those files, identify the relevant details, and enter the information into another system.
AI-powered document processing can help with that preparation.
For example, a system may be able to identify an incoming invoice, extract the vendor name, invoice number, amount, and payment terms, then prepare the information for review.
It can also help flag missing information or identify documents that require additional attention, depending on how the workflow is designed.
The goal isn’t to let AI approve everything automatically.
It’s to make sure the person responsible for the decision has the information they need, without someone else spending unnecessary time gathering and reentering it.
Five Signs Your Approval Process Needs Attention
Not every approval workflow needs to be redesigned. But there are some recognizable signs that a process may be creating unnecessary work.
1. Employees regularly ask, “Who has this now?”
If nobody can easily identify who is responsible for the next step, requests are likely spending too much time between departments.
2. Approvals require repeated follow-up emails
When employees have to remind managers or coworkers that something is waiting, the process depends on people remembering to chase it.
3. The same information gets entered multiple times
If details are copied from a form into a spreadsheet, then into accounting software or another system, there’s probably an opportunity to improve how information moves.
4. Work stops when one person is unavailable
A well-designed process should account for vacations, absences, and changes in responsibility. Important requests shouldn’t disappear into an unattended inbox.
5. Finding an old approval is difficult
If reconstructing who approved something requires searching through months of correspondence, the organization may need a better way to maintain its decision history.
These issues don’t necessarily require an expensive new software platform. Sometimes the biggest improvements come from simplifying the workflow and connecting tools the business already uses.
Start With One Approval Process
For organizations considering automation, approval workflows can be a practical place to begin because they’re often repetitive and relatively easy to observe.
Choose one process that employees regularly complain about.
It might be invoice approval, purchase requests, contract reviews, employee expense reimbursements, or project change requests.
Follow that process from beginning to end.
Look at how requests are submitted, who reviews them, how supporting documents are handled, and what happens after approval.
Pay particular attention to the time spent waiting, following up, or moving information between systems.
Then ask whether some of those steps could happen automatically.
The goal isn’t to remove necessary controls. It’s to make those controls easier to manage.
Even a modest improvement can have a noticeable effect when the same process happens dozens or hundreds of times each month.
A Faster Process Is Also a More Reliable Process
Speed is an obvious benefit of improving approval workflows, but it isn’t the only one.
When requests follow a consistent process, employees have a clearer understanding of what happens next.
Managers receive more complete information. Departments can see the status of requests. Decisions are documented, and fewer tasks depend on someone remembering to send another message.
That creates a more reliable way of working.
It also makes the organization better prepared for growth. A process that barely works when a company handles 20 requests a month may become a serious problem when that number reaches 200.
Improving the workflow before that happens can prevent a great deal of frustration.
Stop Making Simple Decisions Complicated
Businesses need approvals. They need accountability, oversight, and documentation.
What they don’t need is five days of emails surrounding a 30-second decision.
When approval processes are organized, connected, and supported by automation, employees can spend less time tracking down information and more time moving important work forward.
At ExtractIQ, we help organizations identify manual bottlenecks, improve how information moves between systems, and apply automation and AI where they can make a practical difference.
Because getting a decision shouldn’t be harder than making one.