Which Business Processes Should You Automate First?
Some manual tasks aren't worth a workflow. This five-question test shows which processes to automate first so the build pays back within weeks.
4 min read
The first processes you should automate are the ones that happen often, follow clear rules, use digital data and hold up a customer or a colleague. Many teams start elsewhere. They pick the task that irritates them most, or the one a new tool shows off in its demo, and a quarter later they own a tidy workflow that saves forty minutes a month. Automation pays off when it removes hours, delays or errors in meaningful amounts, and those processes are easy to find once you know the signs.
Below you will find a short test for choosing your first automation, a method for estimating payback before any building starts, and a list of processes that usually deserve automating, plus a few that are better left alone for the moment.
What is the five-question automation test?
The five-question test checks each candidate process for frequency, rules, data, error cost and waiting time. A process that scores well on all five should be automated first.
- 1How often does it happen? A task repeated fifty times a week beats one done twice a month, even when the monthly task feels worse.
- 2Are the rules clear? If you can state the decision as 'when this happens, do that', a workflow can take it on. If each case calls for judgment, automation will have a hard time.
- 3Is the data already digital? Information that comes in through web forms, email, spreadsheets or a CRM is simple to work with. Paper, phone calls and people's memories are not.
- 4What does an error cost? Copying data between systems by hand introduces mistakes. Automating the transfer removes them, which can be worth as much as the hours saved.
- 5Who is kept waiting? Processes that stand between a customer and an answer, like replying to a new lead, have a large effect on revenue.
How do you estimate payback before building?
Estimate payback by working out what the task costs by hand each week. Take the number of times it happens weekly, multiply by the minutes each one takes, turn that into hours, then multiply by the full hourly cost of the person doing it. A few minutes of arithmetic can save you weeks spent on an automation that would never recover its cost.
Take a sales coordinator who spends twelve minutes on each of forty new enquiries a week. That adds up to eight hours a week on one task, or over four hundred hours in a year. Set that against the cost of building and running the automation, including subscriptions and some upkeep time, and the answer is usually clear.
Remember the gains that hours don't capture. Quicker replies to leads, fewer data errors and follow-up that happens every time can be worth more than the time saved, especially in sales and customer service.
Which processes usually pass the test?
The processes below pass the test in most businesses, because they are frequent, driven by rules and close to revenue:
- Capturing and routing leads: each new enquiry scored, filled out with company details and sent to the right person within seconds.
- CRM data entry: contacts, deals and activities created or updated automatically from forms, inboxes and calendars.
- Reporting: weekly figures pulled from ad platforms, analytics and the CRM into a single dashboard in place of a spreadsheet.
- Bookings and reminders: appointments set, confirmed and reminded without a chain of emails.
- Document handling: invoices, contracts and forms read, checked and filed in the correct folder.
- Routine customer questions: common questions answered straight away, with everything else passed to a person.
- Onboarding: accounts, logins, welcome emails and first tasks set up as soon as a deal closes.
Which processes should stay manual for now?
- Infrequent work that needs a lot of judgment, such as pricing a complicated proposal or dealing with a delicate complaint.
- Processes still in flux. If you plan to redesign a process next month, automating it now means building it twice.
- Tasks that rely on untidy or hard-to-reach data. Sort out the data source first.
- High-stakes decisions with no human check. Automation can prepare the decision, but a person should take it.
Why start with a single process?
Starting with one process and measuring it carefully is the surest way to build trust in automation. Document how the process runs today, log a baseline for time spent and response times, then build the automation with a clear point where a person checks anything uncertain.
Let it run for thirty days and compare the figures with your baseline. Once the numbers show the value, choosing the next automation is simple, and your team will trust the system because they have watched it work.
Where does AI fit in?
AI adds reading and judgment to automation. Standard automation moves information between systems when an event occurs, while AI can read and interpret messages, sort requests, summarise documents and draft replies. That lets you automate steps that once needed a person simply to read something first.
You get the best results by combining the two and keeping people accountable. AI reads, sorts and drafts, workflows move the data, and your team makes the final decision on anything that reaches a customer or shapes a business decision.
What should you do next?
Choose three processes your team grumbles about and put each through the five-question test. Work out the weekly cost of each, then begin with the highest scorer. If you want a second opinion, a process audit ranks your options by payback so you know where to start.
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