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Full Version: How did you start when you first explored RPA for repetitive reports?
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Our team is finally getting approval to look into robotic process automation for some of our repetitive reporting tasks. I've been tasked with putting together an initial RPA implementation roadmap, but I'm honestly starting from zero. Everyone seems to jump straight to tool demos, but I feel like we need to understand our own processes way better first. Where did you even begin when you first started exploring this?
Nice challenge. Start with a lightweight discovery phase for RPA. Map the current reporting tasks and identify which are truly repetitive rule based and high volume. Create an as is process map and a to be concept focusing on the business outcome you want, faster cycles and fewer errors. Pick two or three candidate processes for a small pilot and define success metrics such as time saved, error rate and auditability. Then build a rough implementation roadmap with milestones, guardrails and a governance model. What does your current data pipeline look like for those reports and who would own the pilot
Skeptic here but practical. People jump to tools and miss the problem. With RPA you should validate the problem first. Do a quick value check ask if this is a repeatable rule based task with clean inputs and outputs. If yes run a one process pilot and track ROI maintenance effort and how often exceptions pop up. If the answers are murky you may need broader process automation or another approach
Document as is and to be in a simple grid for RPA focus on inputs outputs triggers and human touch points. Then lay out a six to eight week plan for discovery prototype and pilot in production with monitoring. Are there non standard data sources in those reports
Do a quick workshop with three stakeholders and pick the two most painful recurring reports and outline steps with sticky notes to see where automation would help in the steps not the whole process
Mindful of data quality and exception handling for RPA you will want clear input formats error handling and audit trails define acceptance criteria and plan for maintenance keep the language practical and not punitive
Set up a backlog of RPA candidates with scores for frequency volume effort and impact then schedule a two week sprint to deliver a minimal viable automation and ensure a product owner lines up the priorities. If you could also identify a sponsor who will champion the rollout that helps
Are you aiming for fully automated end to end or a hybrid where humans still review certain steps for RPA start with attended or unattended automation and map your current systems and data formats before you decide which path to choose