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Pick the right first process: one that is clear, stable, and runs at high volume. Don't start with the most complex challenge. An ideal first candidate repeats at least a few hundred times per month, follows consistent rules, and uses structured or semi-structured data. A finance team processing 500 vendor invoices monthly is a strong pick. A team handling 20 unique edge-case scenarios is not.
Roborana starts with a discovery workshop: a 2 to 3 day session where we map your process step by step, observe how it actually works, identify where delays and errors happen, and capture sample data. By the end, we have a clear picture of the current state and what automation can improve.
From there, we focus on quick wins: the repetitive, rule-based parts of the process that are simple to automate. Quick wins can be delivered in weeks and often pay for themselves within months. We don't try to handle every exception case from day one. Instead, we automate 80 to 90 percent of routine cases and route the rest to human review. Sophistication grows over time as you learn how the automation performs on real data.
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