Automation opportunities
Where is automation hiding in the working week?
Most teams cannot name the process they should automate first, and they should not be expected to. They know what their week looks like, where work waits and which jobs keep coming back.
Audyn starts there. We listen for work performed the same way each time, information copied from one system to another, and processes people have already agreed need sorting out. Those signals produce a shortlist, then the numbers and exceptions tell us whether anything should be built.
Three places to look
Work done the same way every time
Onboarding, routine checks, recurring reports and follow-up often contain repeatable steps, but repetition on its own is not enough to justify automation.
Examine this problem →02Information copied from one place to another
Email into a CRM, a PDF into a spreadsheet or one system into another. When people rekey information, they have become the connection between the systems.
Examine this problem →03The work everyone says needs sorting out
A recurring complaint is evidence, but it still needs turning into a defined operational problem before anyone chooses a product or builds a workflow.
Examine this problem →Do the maths first
What does the task consume?
A few minutes can look harmless until the task is multiplied by its weekly volume and the number of people doing it. This calculation estimates the capacity involved. It does not assume every hour becomes a cash saving.
Based on 47 working weeks, 7.5 hours a day and 37.5 hours a week. This is capacity tied up in the task, not a promise of cash savings.
A useful first conversation
Describe the week, not the software.
Bring one recurring task, a handful of recent examples and the person who knows the awkward cases. That is enough to decide whether the work should stop, change, use fixed rules or be tested with AI assistance.
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