# 25 Tips for Prioritizing Process Automation in Your Organization - Published: 2026-11-06 - Author: [COO Insider](https://cooinsider.com/author/cooinsider-com.md) - Topics: [Q&A](https://cooinsider.com/qa.md) - Source: https://cooinsider.com/qa/25-tips-for-prioritizing-process-automation-in-your-organization/ - Publication: COO Insider - Publisher: Connectively (Terkel, Inc.) - Editorial policy: https://cooinsider.com/editorial-policy/ - AI use: The perspectives in this article were written by the named contributors and submitted through Connectively. Connectively's automated system selected them and used AI to write the headline, introduction, section headings, summary sections, and illustration, and to make minor edits for clarity. Articles are assembled and published automatically. Report errors to corrections@connectively.us. ### Prioritize Customer Delays Over Labor Hours The criterion that proved most valuable is whether a delay in the process costs a customer or revenue. I automate those first, even when other tasks take more hours. I run Smarfle, a CRM for small businesses, and Rathly, a marketing agency, so I deal with process automation both as a builder and as a user. I list every repeated task and ask three things. How often does it happen, how much human time does it take, and what happens if it is late or wrong? The third question decides the order. A weekly internal report can wait. A new lead that sits unanswered for a day cannot. Following that rule, the first automations are the ones in the customer path, such as instant lead acknowledgment, follow-up reminders, review requests and task assignment when a deal moves forward. Each one is simple, and each one protects revenue. I also avoid automating a broken process. If the manual version is unclear, automation only makes the confusion faster. I write the steps by hand first, fix them, and then automate. Keep a person in the loop for anything sensitive, with an easy way to review and undo the action. --- ### Answer Sellers Before Rivals Do I run Click Cash Home Buyers. We moved off a spreadsheet and my phone and onto GoHighLevel about three years ago. The criterion that mattered most was this: what does it cost us if this step happens late? Homeowners who need to sell fast often fill out forms on three or four cash buyer sites the same night, and whoever answers first usually gets the call back. That made first response the obvious place to start. A form now triggers a text within a minute, and a missed call gets a text back right away. Next was long-term follow-up. Most sellers aren't ready on day one, and I used to forget them. Now they get a check-in text every couple of weeks without anyone having to remember. Just as important is what we didn't automate. Walking the house and talking through the offer stay with a real person. These folks are dealing with foreclosure notices and tenants who won't pay, and a robot can't earn that trust. Automate the steps where a delay costs you. Keep people on the steps where trust is the product. Cesar Villasenor, Founder, Click Cash Home Buyers, Salida, California --- ### Secure Handoffs With Named Inputs We looked first at handoffs where the next person lacked the inputs to proceed and nobody had checked the package before passing it on. The sales-to-delivery transition made the failure plain. A project manager started with materials missing from the brief; the gap surfaced later. Sales had no central place for the complete package, and the manager couldn't consult the sales correspondence to fill it in. The recurring risk sat at a specific transfer of responsibility. The criterion that helped us prioritize automation was whether we could name the missing inputs at that point and give a person a way to confirm the handoff before the next decision. We mapped what changed hands and chose an assistant to gather material held in CRM, present what it found and prompt the team about gaps. A person would supply what's missing and sign off on the brief. Automation can expose an omission, but the reviewer still has to decide whether the package is fit for the project manager to use. There was more at stake than collecting documents. Sales' reading of the client's situation, the scope boundary and the budget ceiling could flow into the estimate, with a mismatch appearing later as a cost problem. A reviewer needs to separate what the client supplied from what sales inferred and challenge those assumptions before delivery depends on them. I'd start automating where an absent input can be named, surfaced at the handoff and confirmed by someone responsible for the next step. --- ### Eliminate Costly Data-Entry Typos I start wherever people retype data from one system into another, because that's where time and errors hide together. At a Hamburg parts manufacturer we work with, the office typed 30 to 40 PDF orders a day into the ERP, and one wrong part number meant a wrong delivery and a costly return. That made it the obvious first candidate, ahead of tasks that simply took longer. My most useful criterion: ask what a single typo costs you, not just how many hours the task eats. --- ### Let Employees Guide Automation Choices My prioritization is largely based on employee recommendations and opinions. If we are going to be automating any of the tasks our employees normally handle manually, it's invaluable to get their direct, honest opinion about which tasks are best suited for that. I think this is where a lot of companies get automating tasks wrong. They don't get their employees' input, so they end up with inefficient automation that either just doesn't help very much or that actually makes employees' jobs harder. Something else we do is a trial period for anything we automate, and that allows our employees to test the technology out and give honest feedback about whether or not it should stay. --- ### Prove Results With Measurable Routines The criterion that proved most valuable was whether we could measure the result consistently. If you can't tell clearly whether an automation worked, you can't trust it, and you can't improve it. That's why we started with processes that are repetitive and run on a regular schedule. One of the first was reviewing remediation items in our cloud cost and security platform. Each client gets a list of configurations to fix, vulnerabilities to address, and costs to optimize, and an engineer used to read every item, work out the dependencies, and draft a plan by hand. We built an AI review agent that ingests those items and assembles a prioritized plan our engineers can execute. Because the review happens on a regular cycle, the feedback loop was short and improvements compounded quickly. The time savings were expected and the accuracy surprised us. The agent consistently caught ordering conflicts and dependencies that were easy to miss manually. My advice is don't start with your most complex process. Start with something repetitive and measurable, prove it's reliable, then move to the next one. --- ### Remove Manual Touchpoints Per Order We automated the tasks that happened most often and caused the biggest delays for customers: order validation, shipping labels and basic customer-service replies. That cut repeated manual work fast and improved delivery times. The single evaluation criterion that mattered most was manual touchpoints per order, we picked processes where automation would remove multiple human steps for every order processed. Implementation was iterative: small automations first, measure impact, then expand. --- ### Prevent Forgotten Tasks From Losing Clients I chose which processes to automate first by looking at the tasks people forgot, not the ones that took the most time. Most teams rank automation ideas by hours saved. From what I've seen, that list hides the small tasks that cost you the most when someone misses them. Here's the criterion I trust most. I ask one question about every process, and it's "What breaks if someone forgets this?" Sending a renewal reminder takes two minutes, but forgetting it once means losing a customer you won. Copying notes between systems takes longer, yet nobody loses business when it slips a day. So we automated the reminders and follow-ups first, even though the time savings looked tiny on paper. Our team stopped waking up worried about what fell through the cracks. In my experience, people trust automation more when it removes a fear instead of a chore, and that trust makes later projects easier to roll out. --- ### Save Staff Time Without Sacrificing Accuracy Good Day, I focus on processes that save time, and cause less unnecessary work within the team. Often in healthcare, good places to start are processes that are repetitive within admin such as data entry, appointments, chasing up, and general client communication. The most useful factor I have found in evaluating processes to automate is how much genuine time it saves your staff whilst maintaining accuracy and high quality. Sometimes processes can be easy to automate however if it causes more exceptions or continual corrections then it may not be worth doing. I also consider how often the task is done, and if the current process is clear. The idea is to improve the process first before automation. If we automate a process that isn't efficient we will just make it go quicker. --- ### Prevent Workflow Bottlenecks Through Smart Triggers When prioritizing processes for automation, I looked beyond how repetitive a task was and focused on the problems created when a step was missed or delayed. In one HR technology implementation, we were experiencing low completion rates for Section 2 of the I-9 employment verification process. Rather than sending more reminders or asking HR teams to chase outstanding tasks, we redesigned the workflow. The I-9 task was automatically triggered once the preceding steps were completed, and the unique identifier needed to proceed with payroll was only released after the task was completed. This made compliance part of the process rather than something dependent on someone remembering to follow up. The evaluation criterion I found most valuable was the ripple effect of a manual task: how many people depend on it, and what gets delayed when it doesn't happen on time? That helped me prioritize automation based on the problems it could prevent across a workflow, rather than simply the number of hours it could save on one task. In this case, the value wasn't just fewer follow-ups for HR; it was reducing the risk of an incomplete compliance process becoming a larger operational issue. --- ### Score Misses Before Repeated Steps The criterion that's earned its place is the cost of a miss. I score every process on what happens when the step gets skipped, then on how often it repeats. Anything high on both goes first. In turnover cleaning, those are the steps tied to the next guest's arrival. Sending the cleaner the right access details and checklist when a reservation changes is one. Getting photos of every room back to the host after the clean is another. Both repeat on every job, and a miss shows up as a bad review or a cleaner standing at a door they can't open. A weekly report nobody acts on can stay a spreadsheet for years. It's annoying, but it costs almost nothing when it's late. I add one more question to the score. Can a person still catch the error before it matters? If someone reviews the output first, that process can wait. If the first person to notice is a guest at the front door, it moves to the top of the list. --- ### Rank Recurring Deadlines by Miss Costs The process to automate first is the one that happens on every single deal and only works if somebody remembers to do it. Complexity is a trap as a starting criterion. The complicated, once a month jobs feel important, but the small repeated steps are where files go wrong, because nobody can hold forty deadlines in their head across a busy week. Frequency multiplied by the cost of forgetting is the one evaluation criterion I trust, and it is why Paperless Pipeline was built around checklists and deadlines rather than flashy features. At our scale that test is easy to see. The figures on https://www.paperlesspipeline.com/about show brokerages on the platform closing roughly 30k transactions in the latest month, and every one of those files needed the right documents collected and the right dates watched. So the automation that pays back first is boring: the correct checklist gets applied based on the transaction type and side, and due dates get calculated from the contract instead of typed in by hand. Nobody brags about that work, yet it removes the most common way a compliance file ends up incomplete. My advice to an operations leader is to list every recurring task, score each one on how often it happens and what it costs when it slips, and automate from the top of that list down. Leave the rare, judgement heavy work with people for now. Once the repeated steps run themselves, your team has the time and the clean data to decide what else deserves automating. --- ### Free Staff for Human Service The first thing I ever automated came from frustration. While running Uplifting Athletes, I wanted supporters to pledge based on athletic output, such as a set amount per mile run or pound lifted. None of the fundraising platforms could handle it, so we built the tool ourselves for internal use. That experience shaped how I think about priorities. The criterion I value most is whether a task takes people away from the people they serve. At small nonprofits, one or two staff members can manage an entire event, from registration to the last thank-you note. Every hour spent tracking sponsor payments across emails and spreadsheets is an hour they could spend with sponsors. Fix the process before automating it. Automating a messy workflow gives you a faster mess. Map out how the work should flow, then let the software handle it. Start where your busiest person loses the most time to admin. --- ### Favor Reversible Work With Clear Review The criterion I found most useful was the consequence of an incorrect action. Time saved matters, but it is a poor first filter if the workflow can create an expensive mistake that is difficult to detect or reverse. At QuickIntell, that led us toward repetitive information work: organizing payer responses and clinical documents, identifying missing information, and preparing summaries for the appropriate person to review. These steps reduce the work required to understand a case while keeping the evidence available for inspection. Decisions affecting patient access, coding, compliance or material financial outcomes need a clearly defined human review boundary. For each candidate, I ask: if the system is wrong, who notices, how quickly, and can they correct it before it causes harm? A high-volume process with traceable inputs, a reversible output and a named reviewer is a stronger starting point than a technically impressive process with unclear accountability. Automation priority should reflect the cost of being wrong as well as the cost of doing the work manually. --- ### Route Low-Risk Questions to Bots We started with customer support, and not because it was our biggest cost. It was where the same questions arrived every day with the same correct answer. How do I invite friends to a private room? What's the difference between gems and gold? How do I cancel my membership? None of those need a person. They need a fast, accurate answer at 2 a.m. The criterion that mattered most wasn't hours saved. It was the cost of being wrong. For every process, we asked: if the automation gets this wrong, who notices, and how bad is it? A clumsy answer about room codes costs almost nothing. A wrong answer about a charge or a refund costs trust, and trust is expensive to buy back. So we automated the repetitive, low-risk questions first and kept anything involving money, accounts, or an upset player with a human. Ranking by time saved would have pointed us the wrong way. The slowest tickets were often the riskiest, which is exactly where automation does the most damage when it misfires. We also made sure every automated path had an easy exit. If someone asks the same thing twice or sounds frustrated, they reach a person without arguing with a bot. Nothing irritates a customer like a machine that's confidently unhelpful. The surprise was that quality went up, not just speed. The people answering tickets finally had time for the hard conversations, and those are the ones that keep players around. Automate where mistakes are cheap, and keep people where mistakes are expensive. That one filter makes most of the decisions for you. --- ### Define Terms Before You Scale I viewed automation as an information-quality project first and a technology project second. Home furnishing operations contain deceptively subjective language, including color descriptions, style labels, and terms like antique or vintage. Unless definitions are established, automated systems can turn loosely used language into widespread inconsistency. The evaluation criterion that proved most valuable was semantic consistency. We asked whether two trained people would classify the same input the same way using documented rules. If not, the process was not ready for automation. Establishing shared definitions improved catalog structure, internal handoffs, and customer expectations before any workflow was accelerated. It is less glamorous than deploying software, but consistent language is what allows an automated organization to remain credible at scale. --- ### Stop Duplicate Data Entry First Our rule is to automate first wherever the same information gets typed in twice. We build automation software for manufacturers. With every client, the first thing we map is each place data gets re-entered by hand: the quote that becomes a drawing, the drawing that becomes a bill of materials, the bill of materials that becomes a work order. Every re-entry adds a delay and a chance for a typo. Those mistakes usually show up on the shop floor, where they cost the most to fix. That works better than asking "what takes the most time." Time-heavy work is often judgment work, and judgment is the part you want people to keep. Re-keying is just copying, so it's the safest place to start. For one manufacturer, the re-entry count pointed straight at engineering. Every custom order meant an engineer redrawing the same product from a handful of dimensions. We built a platform where those parameters generate the production drawings directly, so engineers now check drawings instead of creating them from scratch. My advice to any operations leader: look for the place where someone copies information from one screen into another. Start there. --- ### Catch Exceptions Before Publication I gave priority to work where I could clearly separate a routine action from a decision I still needed to make. The useful criterion was whether an exception could be caught before anything was published. For Elvis Loft & Karaoke, I authorized an AI assistant to publish personal replies to clearly positive Google reviews. Complaints and mixed reviews come to me for approval of the exact response. A five-star rating does not override a complaint in the text, so sorting by stars alone would miss the boundary I care about. That let me authorize part of the review-response process without handing over decisions about service recovery. The instructions also say to check for an existing business reply before posting. A review I have answered myself should leave the queue, even if an earlier record still shows it as unanswered. For another process, I would test the proposed rules on an ordinary case and an ambiguous one before expanding automation. Can the system identify that it needs a person before taking the action? If it cannot, I would start by automating the preparation and keep approval manual. I would measure checking and correction time before claiming a saving. Aviad Faruz, Owner, Elvis Loft & Karaoke https://www.elvisloft.co.il/ --- ### Template Easily Detected Errors First I put first the steps that have to come out word for word the same every time, because repeating one line by hand is where small slips creep in. Our product pages show the scale of it: the line "A great basic to add to any wardrobe" appears on 32 of our 130 product pages, so a line like that is a natural first job for a template. What I'd leave alone is anything where the right answer changes from one order to the next, like a fit question, since no rule written in advance covers every customer. The criterion I weigh most is how quickly we'd spot an error, because a template with one wrong word puts that mistake on every page it fills at once, so I'd only hand a step over when a mistake in it would be obvious at a glance. Automate what you'd notice breaking, not just what's tedious. --- ### Verify Outputs Before You Trust Automation 1\. The task I was currently performing on a weekly basis and writing down step by step at RankAISearch was checking whether a business was listed when asking ChatGPT, Claude and Gemini for the "best X in Y" for a particular industry. This involved typing out the same prompt in three different tabs and then copying and pasting the corresponding citations into a spreadsheet. The work needed to be written out on one page of rough notes before it could be automated - i.e. messy, heavily judgmental work that settled into a decent process. It can now be executed as a free task that costs us a couple of cents per execution. 2\. Can someone verify the output in seconds? I found out that if verifying the output takes as long as performing the task, then there is no value in automating the task in the first place. It just hides errors. This test case failed. As it turns out, Gemini's citations were being returned as Google redirect links. So our early version of the checker was reporting that many businesses were not cited when in fact they were. I only found this error by spot checking the raw output against the report. So before I switch over to fully using the automation for this task, I'll be manually completing the task and having the automated process complete the task for a week and then comparing the two. (Also, I'm automating one process at a time. If something breaks, then I know exactly which change caused the problem.) --- ### Serve Waiting Visitors Before Back Offices We automate the moment a customer is waiting first, and the back office second. At Instinctor we build automation for businesses: online stores, restaurant ordering, booking systems, and a website chat that answers customers on its own. When a business asks where to start, we look at every process and ask one question: does a customer lose patience while this waits for a person? That single criterion reorders almost every list. Invoicing, reporting and inventory are real pain, but nobody leaves while they wait. A visitor asking "are you open Sunday?" at 10 pm, or trying to book a slot, leaves within minutes and books elsewhere. So the first things we automate are answering common questions, booking against real availability, and capturing the visitor's phone number so the owner can continue by text in the morning. Then appointment reminders, because a no-show is the same lost revenue, just delayed. The result owners notice is not more traffic. It is fewer lost visitors: questions that used to disappear overnight become bookings. Once that front door works, automating the back office is easier to justify, because the business can already see what automation is worth. --- ### Prioritize Document Intake for Freight Flow We had a long list of things we could automate, and the first ones we picked were not the most impressive. They were the steps where a trained person was retyping information from one place to another. In our business, that is reading driver licenses, applications and records and entering them into forms for insurers. Those steps had three things in common: high volume, no judgment required, and a real cost when a human made a typo. The criterion that proved most valuable was the cost of a delay to the client, not the cost of the labor. For a trucking company, a slow quote or a slow policy change can keep a load from moving. So we ranked processes by what happens to the client when this step waits, and automated the ones where the answer was "the truck doesn't move." That is why document intake came before the things that would have made my own life easier as the owner. The second lesson is to fix the process before automating it. We had to put every policy-change request through one channel and give each one an owner before any automation could help. Automating a process nobody fully owned would only have made the same mess run faster. Zebo Karim, Founder, Get Logan, a trucking insurance agency --- ### Answer Members Before Decisions Expire The criterion that did the most work for me was how long a person waits on an answer that already exists. I run a paid trading community on Discord, and the same questions kept stacking up there. Members wanted the current open calls, where the stop sits, or what got said on a past livestream. Those come back every day, and each one sat until me or my team got to it. So I sorted recurring work by two things: how often the same question returns, and what the wait costs the person asking. A member sizing a trade around a stop can't do much with a reply that shows up hours later. That put question answering at the top of the list, well above reporting and housekeeping tasks that nobody was waiting on. The result was DataBot, an AI assistant inside the Discord that answers around the clock. It took a few weeks and a long run of revisions to get answers I trusted, and I ask members to flag wrong ones so I can fix them. It answered 586 questions in its first month. It doesn't trade for anyone. Anything that touches a real decision about someone's money stays with a person. --- ### Choose Easily Undoable Tasks First At Mighto AI, I automate first whatever scores high on three things: it happens often, it is mostly waiting rather than thinking, and a mistake is cheap to undo. The single criterion that proved most valuable was the last one, reversibility. The first process we picked was collecting vendor quotes. As chairman of a 99-unit housing society, I saw how much of procurement is calling plumbers, electricians and contractors, explaining the job, chasing callbacks, and comparing prices that come back in different formats. It is high-frequency and repetitive, and if an AI agent's call needs a human to step in, the cost is a follow-up, not a lost contract. So Mighto's AI voice agents handle the outreach and quote collection, while the final choice of which vendor to hire stays with the property manager or homeowner. What we deliberately did not automate first is the final award and payment step. Those are hard to reverse, so they keep a human sign-off even though they are easy to script. My advice: score each candidate process on frequency, how much of it is waiting, and how easily you can undo a mistake. Start where all three are high, and keep human approval wherever a mistake can't be taken back. --- ### Protect Revenue With Prompt Lead Follow-Ups At my agency, Thanexa Solutions, the first thing I automated was our own lead follow-up, not admin. My rule was simple: automate first whatever loses money when it’s late. A follow-up email sent two days late is a lost lead. A report sent two days late costs nothing. So I built our outreach in n8n: leads come in from a Google Sheet and Apollo, and Gmail sends the first email and the follow-ups in the same thread, on a schedule. Nobody has to remember to chase. The criterion that helped most: “What does a delay here cost us?” If the answer is “a customer,” it goes to the top of the list. ## Related - [11 Methods for Measuring Process Automation Impact and Refining Your Approach](https://cooinsider.com/qa/11-methods-for-measuring-process-automation-impact-and-refining-your-approach.md) - [25 Business Processes to Automate for Faster ROI: Real Success Stories](https://cooinsider.com/qa/25-business-processes-to-automate-for-faster-roi-real-success-stories.md) - [How Automating Operational Processes Saves Time and Costs: 19 Examples](https://cooinsider.com/qa/how-automating-operational-processes-saves-time-and-costs-19-examples.md) - [Make Operational Handoffs More Reliable](https://cooinsider.com/qa/make-operational-handoffs-more-reliable.md)