Intelligent Automation
Logging tasks is crucial for both task and process mining. Only a tiny minority of companies log tasks and follow up on them. Most either don’t log tasks or, if they do, they don’t follow up. Either way, things don’t get done. If you’re logging tasks but not following up, odds are your task mining software is underperforming . If you don’t log tasks at all, you definitely need help. Either way, you need software solutions that actually work.
A 2022 survey by Deloitte identified that process fragmentation, unclear vision, inadequate IT readiness, and resistance to change are the primary barriers to adopting intelligent automation across numerous organizations.
Additionally, the survey revealed that organizations embracing digital disruption are more likely to not only survive but also thrive amid constant technological change. You might find some of the findings particularly insightful:
Organizations that moved beyond piloting intelligent automation have achieved an average cost reduction of 32%, up from 24 % in 2020
Collect transactional data from sales systems, e-commerce platforms, and customer interaction logs, including details of purchases, returns, and customer service interactions complete with timestamps and transaction IDs.
The average payback period for those piloting intelligent automation increased from 16 months in 2020 to 22 months in 2021/22. While the payback period may be longer, it is still under 18 months and the overall benefit to the organization is greater
Many organizations miss out on communicating the positive outcomes of their automation programs. By calculating and communicating these achievements, organizations can unlock further investment and increase their impact.
