Which workflows should you automate first? The ones that happen often, follow clear rules, move data between several systems, and cause real cost when done by hand, such as onboarding, invoice processing, order entry, and record syncs between CRM and ERP. Starting there gives quick, measurable wins and builds the confidence and patterns you need for harder processes later.

This guide gives a simple scoring method for choosing your first workflows, a list of strong candidates by department, and the traps that slow automation programmes down.

What makes a good first workflow

Strong first candidates share five traits:

  1. High volume: it runs many times a week, so time saved adds up.
  2. Rule-based: decisions follow clear rules rather than case-by-case judgment.
  3. Stable: the steps haven't changed in months and nobody plans to redesign them.
  4. Cross-system: people retype or copy data between applications, which is where errors creep in.
  5. Measurable: you can count how long it takes and how often it goes wrong today.

Score your candidates

List 10 to 15 candidate processes and score each from 1 to 5 on these factors:

Factor Score 1 Score 5
Volume A few times a month Hundreds of times a week
Time per run Minutes Hours, or several people involved
Cost of errors Minor rework Wrong payments, compliance issues, unhappy customers
Systems involved One Three or more
Process stability Changes often Unchanged for a year
Data availability Systems have no APIs All systems offer APIs or files

Add the scores and start with the top two or three. A process that scores high on volume and error cost but low on stability is a candidate for redesign before automation.

A scoring grid: rate each workflow on volume, time, error cost, systems, stability, and data access, then pick the highest totals.

Strong first candidates by department

  • Finance: invoice processing and three-way matching, expense approvals, payment status updates, and journal entries from other systems. See procure-to-pay automation.
  • HR: onboarding, offboarding, role changes, and payroll sync. See HR workflow automation.
  • Sales and revenue: closed deals to ERP orders, quote to cash, and customer data sync between CRM and billing. See order-to-cash automation.
  • IT: account provisioning, access requests, incident routing, and licence reclaim.
  • Customer service: ticket routing, escalations, and order-status updates to customers.
  • Operations: inventory updates between warehouse, ecommerce, and ERP, and supplier order confirmations.

Workflows to leave for later

  • Rare processes: automating something that happens twice a year rarely pays back.
  • Processes in flux: if the steps are being redesigned, wait until they settle.
  • Judgment-heavy work: exceptions, negotiations, and complex approvals need people, though automation can prepare the data for them.
  • Processes without data access: if a key system has no API or export, solve that first.

From first workflow to a programme

  1. Pick two or three workflows from the top of your scoring list.
  2. Measure the baseline: time per run, error rate, and cost.
  3. Build with reuse in mind: shared connections, data mappings, and error handling you'll use again.
  4. Go live with monitoring and a clear owner for failures.
  5. Report the results in time saved, errors avoided, and cycle time.
  6. Rescore the list each quarter and pick the next batch.

Start small, measure, reuse what you built, and rescore the list each quarter.

Frequently asked questions

Which business processes should be automated first?

Start with processes that are frequent, rule-based, stable, and involve copying data between systems, such as onboarding, invoice processing, order entry, and CRM-to-ERP syncs.

How do I choose between automation candidates?

Score each on volume, time per run, cost of errors, number of systems, stability, and data availability, then start with the highest totals.

What processes should not be automated?

Rare processes, processes that are still changing, and work that depends heavily on judgment. Automation can still prepare data for people handling those cases.

How do I measure the success of workflow automation?

Compare time per run, error rate, cycle time, and cost per transaction with the baseline you measured before automating.

How many workflows should we automate at the start?

Two or three. That's enough to prove value and build reusable patterns, without spreading the team too thin.

Start where the payback is obvious

The best first automations are the ones everyone already complains about: frequent, repetitive, and error-prone. To see how Koodisi automates your first workflows, book a demo.