What to automate first in a 50-person company
Dravik teamUpdated 6 min read
Automate the task that happens most often, follows clear rules, and hurts when it goes wrong. In most 50-person companies that means lead routing, invoice intake, new customer setup, or weekly reporting. Pick one workflow, map it on paper, automate the boring middle, and keep a human on the decisions that carry risk.
Why the first automation matters more than the rest
The first project sets the tone. If it ships fast and people feel the difference, the team asks for the second one. If it drags for four months and breaks on edge cases, you get a quiet consensus that "automation doesn't work here," and that belief is hard to undo.
A 50-person company sits in an awkward spot. You are too big for one person to hold every process in their head, and too small to have a dedicated operations engineering team. Work gets done through spreadsheets, copy and paste, and a few people who know where everything lives. That is exactly where automation pays back quickest, as long as you start in the right place.
The four questions that rank any task
Before you pick a tool, list the repetitive work your team does. Ask each department head for their top five "I hate doing this" tasks. You will end up with 20 to 40 candidates. Then score each one on four questions, from 1 to 5.
- Volume. How many times a week does this happen? A task done 200 times a week beats one done twice, even if the second is more annoying.
- Rules. Can you write down the steps as "if this, then that"? Clear rules automate cleanly. Judgment calls need a human or a carefully scoped AI step.
- Cost of errors. When someone gets it wrong, what breaks? A missed lead, a late invoice, or a wrong shipping address all cost real money.
- Pain. How much do the people doing it dislike it? This matters because the team has to adopt the new flow.
Add the scores. Anything above 15 is a strong first candidate. Anything with a rules score of 1 or 2 is a poor first project no matter how high the rest score, because you will spend most of your time arguing about exceptions.
A scoring table you can copy
Here is how a typical list looks once scored. These rows are an illustration, not data from a specific company.
| Task | Volume | Rules | Error cost | Pain | Total |
|---|---|---|---|---|---|
| Routing inbound leads to the right rep | 5 | 5 | 5 | 3 | 18 |
| Entering vendor invoices into accounting | 4 | 4 | 4 | 5 | 17 |
| Setting up new customer accounts | 3 | 4 | 4 | 4 | 15 |
| Building the Monday KPI report | 2 | 5 | 3 | 5 | 15 |
| Drafting custom proposals | 2 | 2 | 4 | 3 | 11 |
| Approving discount requests | 2 | 3 | 5 | 2 | 12 |
Lead routing wins here. It happens constantly, the rules are simple (territory, company size, product interest), and a slow or wrong handoff loses deals. Proposal drafting scores lower because every proposal is different, which makes it a better second or third project once you have experience with AI drafting.
The usual first winners, by department
A first automation often comes from one of these places.
Sales and marketing
- Instant lead routing from web forms into the CRM, assigned by territory or round robin, with a Slack or email alert to the rep.
- Follow-up sequences triggered by form fills, so no inbound lead waits a day for a reply. See our guide on how to automate lead follow-up for the details.
- Enrichment of new contacts with company size and industry before a rep ever opens the record.
Finance
- Pulling invoices out of a shared inbox, extracting vendor, amount and due date, and creating a draft bill for approval.
- Payment reminders sent on a schedule to customers with overdue balances.
- Expense receipts matched to card transactions.
Operations and customer success
- New customer onboarding: when a deal closes, create the project, send the welcome email, book the kickoff call, and assign tasks.
- Ticket triage that tags and routes support email by topic and urgency.
- Status updates pushed to customers when an order or project moves stages.
Leadership
- A weekly report that pulls numbers from the CRM, accounting and support tools into one page, delivered every Monday at 8am.
How to scope the first project
Scoping is where most first projects go wrong. People try to automate the whole process, including every exception, in one go. Instead, split the work into three parts.
- The trigger. What event starts the flow? A form submission, a new email, a closed deal, a date.
- The happy path. What happens in the 80 percent of cases that look normal? Automate this completely.
- The exceptions. What happens in the odd cases? Send them to a person with all the context attached. Do not automate them yet.
A good first project has one trigger, a happy path of five to ten steps, and a clear handoff for exceptions. If you cannot draw it on one page, it is too big.
A simple 30-day plan
Here is a simple rhythm for a first workflow.
- Week 1. Watch the task being done. Record two or three people doing it on a screen share. Write down every system they touch and every decision they make.
- Week 2. Build the happy path in a test environment. Connect the systems, map the fields, and run old examples through it.
- Week 3. Run it in parallel. The automation does the work, and a person checks every result before it goes live. Fix what breaks.
- Week 4. Switch over. The person now checks only the exceptions. Measure time saved and error rate against the old way.
Four weeks is realistic for one well-scoped workflow with tools you already pay for. It is not realistic for a project that touches eight systems and three departments.
Mistakes to avoid
- Automating a broken process. If the manual steps are confused, automation makes the confusion faster. Clean up the process first.
- Choosing the tool before the task. Pick the workflow, then pick the tool that fits it. Our comparison of Zapier, Make and n8n covers how to choose.
- No owner. Every automation needs one named person who gets the alert when it fails and decides what to change.
- No measurement. Write down how long the task takes today and how often it goes wrong. Without a baseline you cannot prove the win, and the second project will be harder to fund.
- Removing the human too early. Keep a review step until the error rate is proven low.
What to measure after launch
Track three numbers for the first 60 days.
- Hours saved per week, based on the old time per task multiplied by volume.
- Error rate, compared with the manual baseline.
- Time to complete, such as minutes from form fill to first reply, or days from invoice received to invoice approved.
If those numbers move, you have a story for the next project. If they do not, the problem is usually scope or adoption, and both are fixable.
Where an outside view helps
The hardest part is often seeing your own processes clearly. People who do a task every day stop noticing the copy and paste. A short outside review can map your top candidates, score them, and hand you a plan for the first one. If you want that done for you, book a business audit and we will deliver a ranked list of what to automate first, with the first workflow scoped.
Frequently asked questions
- How do I know if a task is worth automating?
Score it on volume, how rule-based it is, the cost of mistakes, and how much people dislike it. High volume and clear rules matter most. A task done a few times a month rarely pays back unless errors are very expensive.
- Should we automate the whole process at once?
No. Automate the trigger and the common path first, and send exceptions to a person with context attached. Once the common path is stable, you can automate the most frequent exceptions one at a time.
- Do we need to hire an engineer to start?
Usually not for a first project. Tools like Zapier, Make and n8n handle most first workflows without custom code. You need someone who understands the process well and owns the result, plus technical help for the setup and any tricky integrations.
- How long does a first automation take?
A well-scoped single workflow often takes three to five weeks, including a parallel run where a person checks the output. Projects that span many systems or departments take longer and should be split into smaller pieces.
- What if our data is messy?
Messy data is common and is often the first thing automation exposes. Start with a workflow where the inputs are fairly clean, such as web form submissions, and fix data quality issues as you find them rather than waiting for a perfect cleanup.
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