How workflow analysis saves real money

Workflow analysis is how you find the stuff that’s quietly costing your business money every single week. Not theory. Not a fancy consulting exercise. Just looking at how work actually moves through your organization and asking hard questions about why it moves that way.

What workflow analysis really means

Here’s the short version. Workflow analysis is the practice of examining how work flows through your organization - from trigger to outcome - and figuring out where it’s broken, slow, or wasteful.

Workflow and usability are not afterthoughts; they impact the core of any project and dictate how it should be engineered.

— Ryan Holmes (CEO of Hootsuite)

You’re looking for three things:

• Bottlenecks - places where work stacks up waiting for someone or something
• Redundant tasks - steps that exist for no good reason anymore
• Broken handoffs - the gaps between departments or people where things fall through

After ten years building workflow software at Tallyfy, I’ve noticed something interesting. The biggest problems are almost never where people expect them to be. Teams come in thinking their technology is broken. Turns out their process is broken. The technology just makes it more visible.

It also works at the individual level. Any task can be broken into phases. Especially in established businesses, people perform unnecessary steps simply because they were once told to do it that way. Nobody questioned it. Nobody will question it. Until you do.

Why this matters more than you think

Here’s a number that should bother you. McKinsey estimates that 20-30% of operating expenses in most companies are wasted on inefficiency. That’s not a rounding error. That’s a third of your budget going nowhere.

Let me make it concrete. A sales clerk crosses the office to fetch a printout. Takes maybe a minute. By end of day, that’s ten minutes. By end of week, 50 minutes. Now multiply by twelve clerks doing the same thing. You’ve just lost ten hours of productive, revenue-generating time. Every single week.

And that’s just the obvious stuff.

The less obvious stuff is worse. Reports nobody reads. Approval chains with six signers when two would do. Status update meetings about the status of other meetings. I learned this the hard way at Tallyfy with workflow automation, we’ve found that teams routinely discover whole categories of work that can simply stop - and nothing bad happens.

Redundant tasks that could be eliminated or automated hurt even more. Records and reports that are never analyzed can take hours to compile. Your employees won’t question them, either. All they know is that someone told them to complete that report years ago, and they’re still doing it because that’s the way the work gets done.

The knock-on effects of fixing this? They’re significant. Your teams experience shorter lead times. Staff feel more motivated because they’re not drowning in busywork. Simplified workflows make it way easier to onboard new people. And - this is a big one - if your workflows are clear and documented, remote work actually becomes feasible instead of chaotic.

Calculate what inefficiency is costing you

Small time wasters add up to staggering amounts. A research found that knowledge workers lose 30% of their time just searching for information. Calculate how much hidden waste exists in your own organization.

Five questions that drive real analysis

It’d be easy to say “analyze everything.” Don’t. Start with the core tasks that generate revenue. In most businesses, admin is a support function. The revenue-generating activities - those are where analysis pays off fastest.

Every business is different, but the questions are universal:

1. What do we do?

Which core processes generate revenue? Your business has an internal value chain. From an overview perspective, how does revenue generation begin and end? For some businesses, sales comes first. For others, production or purchasing kicks things off.

Be critical here. If production comes first, how sure are you of sales? Is there a way to secure orders before production even begins?

2. How do we do it?

Record every single task that goes into producing the end result. Every activity, no matter how obvious or trivial. I can’t stress this enough - the tiny steps are where the waste hides. They’re the ones nobody thinks to mention because they’ve become invisible.

3. Why do we do it?

This is where it gets uncomfortable. Examine each step. If there’s no answer to the “why” question, you might be looking at something that’s a complete waste of time and resources. Non-value-add steps in value-adding processes are the easiest targets for process improvement.

Sometimes record-keeping steps are necessary. But sometimes they can be eliminated with zero impact other than efficiency gains. You won’t know until you ask.

4. Which departments do what?

Workflows don’t stay inside one team. A sale starts with the sales rep getting an order. Then the warehouse draws and packs it. Dispatch ships it. Accounts tracks payment. Each handoff is a potential failure point.

There are also intra-functional workflows worth examining. What does your accounts department do between learning about a dispatched order and collecting the bill? My guess is there are steps in there nobody’s looked at in years.

5. What does each person do?

For every employee in the workflow - what steps do they take? Why do they take them? What benefit does each step create? This is the most granular level, and honestly, it’s where you’ll find the richest improvements.

How to actually improve what you find

Take a fresh look at your workflows as if you were seeing them for the first time. Plenty of companies hire consultants for this, but I think that’s often overkill. You’ve got something better than a consultant - you’ve got the people who do the work every day.

From what I’ve seen running process improvement sessions, getting as much input as possible from the people involved in each process is critical. They’ve already identified the things that are holding them up. They know where the friction lives. They probably have opinions about fixing it, too. And the more input they have, the more likely they are to accept whatever changes come out of the analysis.

Ask yourself whether modified or even completely different workflows could be more effective. A lean workflow uses the least amount of workforce resources, time, and effort possible to produce the desired result. That doesn’t mean cutting quality. On the contrary - it frees your employees to focus on the tasks that matter most to your teams and the people you serve.

Here’s something I probably should’ve mentioned earlier. These agents think clearly — they just have no defined process to think about. Right now, nobody’s building the workflows those agents need to follow. If you don’t have clean, well-analyzed processes, AI will just automate your mess - faster and at bigger scale. Workflow analysis isn’t just an efficiency exercise anymore. It’s a prerequisite for any serious AI adoption.

Using software to automate what you’ve improved

One of the easiest wins with workflow improvement is using software to handle the communication and handoff layer. This is at the core of what we do at Tallyfy. Feedback we’ve received from hundreds of implementations shows that approval delays are the most common bottleneck teams identify - one healthcare organization we spoke with found that 40% of their patient care delays traced back to multi-stakeholder authorization processes that nobody had mapped end-to-end.

Workflow management software makes your workflows more efficient by automating all the communication. Your employees don’t have to spam each other with emails about who’s supposed to do what - the software manages task assignments automatically.

Once employee #1 finishes their task, the system automatically assigns employee #2 the next one. No emails. No Slack pings. No “hey, did you see my message?” conversations.

This frees up time for work that creates real value. And with Tallyfy, you can get started for free with up to 5 users. Sometimes the best way to understand workflow analysis is to just try improving one process and see what happens.

Workflow templates to analyze and improve

Example Procedure

Multi-Tier Purchase Approval Authority Matrix Workflow

1Supplier approval (Tier 1 - Manager Level)

2Purchase authorization (Tier 2 - Director Level)

3Vendor acknowledgement and PO confirmation

4Define approval thresholds by tier

5Assign approvers by role and backup coverage

+3 more steps

View template

Example Procedure

Warehouse Order Picking and Fulfillment Workflow

1Generate warehouse picklist from pending orders

2Assign warehouse picker to order batch

3Prepare picking cart and warehouse equipment

4Scan totes and verify item barcodes for accuracy

5Review and verify customer order details

+4 more steps

View template

Common questions about workflow analysis

What does a workflow analyst do?

A workflow analyst studies how work moves through an organization. They watch how people work, map out each step, identify problems, and suggest improvements. Think of them as workplace detectives - they’re looking for waste, redundancy, and bottlenecks that slow everyone down. Then they figure out how to get the same results with less friction.

What are the 5 stages of a workflow?

Every workflow has five stages: Plan, Input, Processing, Output, and Store. Planning sets the destination. Input gathers the information and materials you need. Processing is the actual work being done. Output is the result of that work. Storage is how you record and learn from what happened. Skip one stage and things tend to fall apart - kind of like skipping a step in a recipe.

How does workflow analysis connect to AI readiness?

This is the question nobody’s asking, but should be. AI agents - whether they’re processing invoices, routing support tickets, or managing approvals - need structured workflows to operate inside. If your workflows haven’t been analyzed and cleaned up, you’re asking AI to automate chaos. A PwC survey found 79% of organizations are already running AI agents in production. The ones getting results? They defined their processes first.

Why do you need to do this regularly?

Workflow analysis isn’t a one-time event. Do a thorough review once a year, with quick check-ins every quarter. And definitely revisit your workflows whenever you notice the same problems cropping up repeatedly, or when you’re planning significant changes. It’s like car maintenance - regular check-ups prevent breakdowns.

What are common mistakes people make?

The biggest one? Jumping to solutions before understanding the problem. Other common mistakes include not involving the people who actually do the work, ignoring small inefficiencies because they seem trivial (they’re not - they compound), and believing that one approach fits every situation. Good analysis means understanding reality, not forcing reality to fit your theory.

How does fixing workflows affect team morale?

More than most people expect. When you remove annoying bottlenecks, clarify who’s responsible for what, and create time for productive work, people notice. They feel less frustrated. When their input leads to real improvements, they feel valued. It might sound trivial - like oiling a squeaky door - but it makes everyone’s day noticeably better.