Automation strategy
How to find the first workflow worth automating
A practical way to separate useful automation opportunities from expensive distractions.
Start with repeated work, not an AI feature
The strongest first automation is usually a process the team can explain in plain language. It happens often, follows recognizable rules, uses information that already exists, and creates visible frustration when it slows down.
A request to “add AI” is too broad. A request to reduce the time spent reading incoming forms, checking required fields, updating a CRM, and assigning follow-up is specific enough to evaluate.
Look for five useful signals
You do not need a formal transformation program to find worthwhile candidates. Walk through a normal week and listen for the work people describe as repetitive, fragile, or dependent on one person remembering every step.
- The same information is copied between two or more systems.
- The process begins with a predictable email, form, document, or status change.
- Staff spend time checking completeness or applying straightforward rules.
- Delays create missed follow-up, customer frustration, or management blind spots.
- A person still needs to approve exceptions or higher-risk decisions.
Score impact, feasibility, and risk
A high-volume process is not automatically a good first project. Consider the hours involved, the quality of current data, access to connected systems, the cost of an error, and whether someone owns the process.
A contained workflow with reliable inputs and a clear owner is often a better first win than a larger process with unclear rules. The first project should create confidence and operating knowledge that makes the next one easier.
Keep humans at the right checkpoints
Automation does not have to mean removing people from the process. It can prepare a record, identify missing information, draft a response, and route an exception while leaving approval with the responsible employee.
Define what the system may do, what requires review, how uncertainty is handled, and how a failed workflow becomes visible. Those decisions are part of the product, not cleanup after launch.