How approval tracking software kills wasted time
Manual approvals drain teams through delays and zero standardization. Approval tracking software routes decisions and gives everyone real-time visibility.
Summary
- Manual approvals are a time black hole - Teams burn hours chasing sign-offs through email threads and phone calls, and rework cycles make it worse because context gets lost between rounds
- No standardization means hidden risk - When every department invents its own approval process, you get audit gaps, inconsistent decisions, and people who don’t know the scope of what they’re approving
- Automation reclaims 10-15% of management time - Harvard Business Review research shows approval tracking software can automate the busywork that eats into time leaders should spend on strategy and product development
- The real ROI goes beyond labor savings - Organizations report returns of $3-6 for every dollar spent on workflow automation, with gains coming from faster decisions, fewer errors, and better compliance. Want to automate your approval workflows?
Every business has at least one approval process. Most have dozens. And I’d bet good money that a few of them are broken right now - requests sitting in someone’s inbox, context scattered across three email threads, nobody quite sure whose turn it is.
That’s the mess approval tracking software is built to fix. Not by adding more complexity, but by making the path from request to decision visible, trackable, and fast.
What gets lost in the shuffle is that agents without workflows are smart software with no structured process to execute. Right now, nobody’s building the workflows those agents need to follow. An AI agent without a structured approval workflow is just a conversational interface pretending to be a workflow engine. We’ll come back to that.
Why manual approval tracking falls apart
Time vanishes. Teams without approval tracking software spend a staggering amount of time just figuring out where things stand. Who approved what? Did finance sign off? Is legal still reviewing?
The back-and-forth when something needs rework? That’s where it really hurts. Without a system tracking the whole chain, pieces get lost. People forget what version they reviewed. Someone approves an outdated document because the latest one got buried in email.
research found that 82% of organizations still route tasks through paper-based or manual processes supported by spreadsheets. In 2026. That number should make you uncomfortable.
Decisions suffer. Managers can’t make good calls in a vacuum. They need complete information, and they need it structured - not scattered across Slack messages, emails, and sticky notes on someone’s monitor. Insufficient data leads to approvals that are either rushed or wrong.
Do you sometimes feel pressure to approve something because a deadline is breathing down your neck, even though you don’t have the full picture? That’s not a people problem. That’s a process problem.
Standardization is almost always missing. How standardized is your company’s approval process? My guess - not very. Mid-sized and large companies tend to develop different manual processes in every department. Works fine until an approval needs to cross departmental lines, and then nobody knows the rules.
Running Tallyfy taught us that this plays out everywhere. A commercial real estate team with thousands of employees across multiple countries struggled with managing approval chains across business units - each regional office had its own manual process for proposals and contracts. The lack of standardization created governance gaps and inconsistent results no matter which office handled the work.
Accountability gets murky. Who’s responsible for making sure all the right approvals were obtained? HR records employee-related approvals, but do managers duplicate those records? Who stores non-HR approvals? Each department? QA? Finance?
When a compliance issue surfaces, you need to trace every approval in the chain. If that chain exists only in email threads and people’s memories, you’re in trouble.
Approval Management Made Easy
What approval tracking software actually does
Think of it this way: approval tracking software takes that mess of emails, phone calls, and spreadsheet trackers and replaces it with a single, visible pipeline. It standardizes tasks. It sends nudges when time-sensitive approvals are overdue. It creates a clear workflow from request to decision. It makes all relevant data transparent to the person who needs to approve. And it keeps a complete record of everything - who approved what, when, and based on what information. What used to take hours can happen in minutes. Not because people work faster, but because they stop wasting time on logistics and start spending it on judgment.
At Tallyfy, we built this to work the way approval chains actually flow in real organizations - not the way a flowchart on a whiteboard says they should. Conditional routing, parallel approvals, escalation when things stall. The stuff that matters when you’re dealing with real humans who forget, get busy, and go on vacation.
IEEE Spectrum reports that 40% of enterprise applications will embed task-specific AI agents by the end of 2026, up from less than 5% in 2025. Those agents will need structured approval workflows to operate within. Without defined processes, AI just amplifies chaos faster.
Which approvals benefit most from automation
Virtually any approval with a repeatable pattern. If you can map the steps from request to sign-off, you can automate the routing, tracking, and record-keeping around it.
Whether it’s HR, procurement, contracts, or financial approvals - anything that follows a sequence of decisions can be tracked and automated. The Harvard Business Review put it well when three McKinsey consultants wrote about marketing managers:
Take, for example, the role of a marketing manager or executive in a consumer products company. A marketing manager … plays a critical role in driving sales by tailoring corporate strategies to specific products and markets. Today, this involves several time-consuming activities such as reviewing data from the field to inform pricing decisions and generating estimates of material costs for production. These activities can be automated with currently demonstrated technology, completing the analysis more quickly and accurately than the manager ever could.
That was written years ago, and the principle has only gotten more true. The gap between what can be automated and what organizations actually automate keeps widening.
Here’s a real example from the field. A payroll processing team found their onboarding approval workflows took roughly 14 days due to multi-state tax compliance documentation. After setting up automated verification checkpoints and approval routing in Tallyfy, they cut it to 5 days - a 64% reduction. A venture capital operations team managing 500+ deals saved 5 hours per deal by automating multi-step verification workflows for wire transfers and investment agreements. That’s thousands of hours annually.
Time savings are bigger than you think
Just how much time does approval automation free up? The HBR authors estimated that activities consuming 10-15% of a marketing executive’s time could be automated with existing technology. We’ve seen similar patterns across different roles - teams reclaim hours each week that they previously spent chasing signatures and checking statuses.
But the bigger insight from that same research is what happens with the freed-up time:
Are you hearing this at work? That's busywork
Enter between 1 and 150,000
Enter between 0.5 and 40
Enter between $10 and $1,000
Based on $30/hr x 4 hrs/wk
Your loss and waste is:
every week
What you are losing
Cash burned on busywork
per week in wasted wages
What you could have gained
160 extra hours could create:
per week in real and compounding value
Total cumulative impact over time (real cost + missed opportunities)
You are bleeding cash, annoying every employee and killing dreams.
It's a no-brainer
When you’re bringing in automation you need to think about two kinds of payoff—returns you get by using machines rather than labor for activities (investments in automation can generate benefits worth three to ten times the cost, we estimate, much of it from better performance rather than reductions in labor costs), plus the value derived from activities that employees carry out in the time that [they] formerly used for work that is now automated. In the case of the marketing manager, this could mean more time to work on new product ideas, supervise direct reports, collaborate with managers in other functional areas, or develop new strategies.
Recent data from CX Today backs this up - organizations report that 92% reach positive ROI from automation, with returns averaging $3-6 for every dollar invested. The payoff isn’t just speed. It’s what your people do with the time they get back.
What surprised us when we dug into the data is that once you automate approvals, you start seeing patterns. Which approvals always bottleneck at the same person. Which steps take three times longer than they should. Which departments have redundant sign-offs that add zero value. Approval tracking software doesn’t just speed things up - it shows you where your process is broken.
Why defined workflows matter more in the age of AI
Here’s my honest take after years of building Tallyfy:
Everyone’s excited about AI agents handling approvals, routing decisions, flagging anomalies. And that’s coming - fast. But an AI agent following a broken approval process will just create broken outcomes more efficiently. A Deloitte report on agentic AI strategy makes this point clearly - governance and defined process patterns are prerequisites, not afterthoughts.
This is why I think process definition is the most undervalued investment in enterprise tech right now. Before you deploy an AI agent to handle purchase approvals, you need to know: What’s the approval threshold? Who needs to sign off at each level? What information must be present before any approval happens? What’s the escalation path when something’s stuck?
Those aren’t AI questions. They’re workflow questions. And Tallyfy exists to answer them - with structured, trackable processes that both humans and AI agents can follow.
The organizations that’ll get the most from AI in operations are the ones that have their approval workflows defined, documented, and running in software right now. Not the ones scrambling to bolt workflows onto AI agents after deployment.
Ready-to-use approval workflow templates
Related questions
What’s approval workflow software?
Approval tracking software lets you follow every request through its entire journey - who needs to sign off, where it stands right now, and what happens next. Instead of chasing people through email and hallway conversations, the software routes requests to the right person at the right time and nudges them when it’s their turn.
Simple. No detective work required.
What’s an approval process?
Think of it like a relay race. A request moves from person to person, and at each handoff someone decides: approved, rejected, or needs more information. The approval process is the complete set of those handoffs, from the moment someone asks for something until they get a definitive answer with reasoning attached.
For example - a purchase order might go from the requester to their manager, then to finance for budget review, then to procurement for vendor verification. Each step has criteria. Each step has a person responsible.
What are the benefits of using approval software?
The biggest one? Time. You eliminate the email ping-pong and lost paperwork. Everyone can see exactly where things stand without asking. The system prods people when it’s their turn - gently, not annoyingly.
And there’s a diagnostic benefit that’s probably underrated: approval software highlights your bottlenecks. You can see which approvals consistently get stuck and where the process needs fixing.
Does SharePoint have an approval workflow?
SharePoint has built-in approval workflows, but honestly, they’re inflexible and annoying to configure. For most organizations, SharePoint’s approval process is limited and hard to customize without technical expertise.
I’m biased, but Tallyfy is quite a bit easier and more intuitive - and you don’t need IT involvement to set things up or make changes.
How do you track approval status?
With modern approval tracking software, you get real-time dashboards showing exactly where each request sits in the pipeline. Who needs to act next, how long each stage has taken, and automatic alerts when something’s stalling.
That transparency goes both ways. Requesters can see progress without sending “just checking in” emails, and approvers can see their queue without digging through their inbox.
Can approval workflows be automated?
Yes - and you should automate as much of the routing and tracking as possible. Set rules to automatically send requests to the right approver based on amount, department, or request type. Configure reminders for overdue items. Set up escalation paths for approvals that sit too long.
The judgment stays human. The logistics become automatic.
What makes a good approval system?
Something simple enough that anyone can use it without training, yet flexible enough to handle multi-level approval chains. It needs to work on mobile, play nicely with your existing tools, and adapt when your processes change.
Most importantly - it should make approvals feel easier, not add another hoop to jump through. If people avoid the system, the system has failed.
How do you implement approval tracking software?
Start small. Pick your most painful approval process - the one that generates the most complaints or delays - and automate that one first. Get it working, gather feedback, iterate.
Don’t try to automate everything at once. Let your team learn the basics with one process before adding complexity. The goal is to make life easier for both the people requesting approvals and the people granting them.
About the Author
Amit is the CEO of Tallyfy. He is a workflow expert and specializes in process automation and the next generation of business process management in the post-flowchart age. He has decades of consulting experience in task and workflow automation, continuous improvement (all the flavors) and AI-driven workflows for small and large companies. Amit did a Computer Science degree at the University of Bath and moved from the UK to St. Louis, MO in 2014. He loves watching American robins and their nesting behaviors!
Follow Amit on his website, LinkedIn, Facebook, Reddit, X (Twitter) or YouTube.
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