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8 findings from using flexible bot mechanisms, (i.e fault-tolerant or self-healing processes, components, & variable controls)

1. Assets (The use of assets is higher, although having more assets, adds in a lot of that flexibility around process handling.) – Assets are defined objects that help to avoid hard coding within your automated efforts.

2. Production processes using fault-tolerant or flexible methods have been shown to bring about many, new, differently enabled compliant designs. (This is to remind us all that there is still room for massive innovation)

3. Price is hard to explain. Yes, the price of the automated effort over time will be reduced by fewer issues, faults, and failures being seen. Not only does the potential reoccurring return on investment (ROI) help, additionally your overall “Quality” will increase as well. The gain or worthwhile of building fault-tolerant or flexible automated efforts can be a hard sell for many stakeholders. (Where you end up seeing the value is by gaining efficiency while turbulent issues are removed)

4. Accurate Automation. Less downtime, fewer faults, and less necessity around monitoring. (I found building monitoring into each automated process helps. Build in the due diligence, build in the report out of what the bot did or didn’t do.)

5. Bot Performance. (no outages, no downtime, fewer needs for maintenance, and more effort around automating tasks or processes) – Your #coe can only do so much. If your team is consistently fighting fires and working to fix your last releases mistakes then they are not automating.

6. Proportional Iterations (Reduced through different production processes, and sprints. These proportions iterations are overall libraries, assets, sequences, components, utilities, and governance that are all used to provide all the necessary parts to safeguard your #Automation, and even #AI platforms)

7. Portability (Reusable, sustainable, and lightweight solutions reduced the overall effort thanks to flexible and fault-tolerant strategies) – Portability can also define how your bots are accessed or utilized. A bot that can only run one or a handful of processes, or efforts is not #sustainable.

8. Predictability: Automated efforts follow a script that script in itself is predictable. If there are issues or faults outside of that then they need to be triaged and then tossed into a try-catch or use similar frameworks like the UiPath ReFramework to accurately automate the complex business processes that address the faults, or potential faults.

: The views expressed in this post are my own. The views within any of my posts, or articles are not those of my employer or the employers of any contributing experts. this post? Click icon for more!

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Doug Shannon

Doug Shannon, a top 50 global leader in intelligent automation, shares regular insights from his 20+ years of experience in digital transformation, AI, and self-healing automation solutions for enterprise success.