Skip to main content
Question

Risks in Adopting Intelligent Automation?

  • February 25, 2025
  • 3 replies
  • 57 views

Forum|alt.badge.img

What is the most difficult risk that you/your business can face when adopting IA systems? Like would it be implementation costs, integration issues, etc?

Also, what are some best practices to avoid/mitigate these?

Thanks in advance!
Will

3 replies

Matt.Stewart
Automation Anywhere Team
Forum|alt.badge.img+6
  • Automation Anywhere Team
  • 11 replies
  • February 27, 2025

Some of the questions you have might be answered by reading through (or watching some of the videos) on https://pathfinder.automationanywhere.com/

The framework breaks down a lot of the things new and growing programs have to consider when starting up, ranging from building a cohesive strategy, communicating it to key business stakeholders, building the right talent pool, identifying use cases, and building solutions to add value.  The sales team will definitely be able to narrow in on specific problems in your industry and type of company, but the stuff in Pathfinder is applicable universally.


Marc Mueller
Pathfinder Advocate | Tier 6
Forum|alt.badge.img+14
  • Pathfinder Advocate | Tier 6
  • 198 replies
  • February 27, 2025

Hi ​@WillowSpice,

Specifically for Germany there are a lot of doubts about data security when sending business data to AI provider. Cost constraints as well. But with an locally executed AI model like the ones from Ollama or the knowledge base from Automation Anywhere you are not sending data to an third-party application.  These are just some doubts from companies I heard of. Because of this (me included) not much hands on experience in terms of business ready deployments wit AI integrations.

 

Hopefully my insights will give any value...

 

Cheers 

Marc


Forum|alt.badge.img
  • Automation Anywhere Team
  • 1 reply
  • February 27, 2025

One of the biggest challenges when adopting new technologies is always change management. Organizations often focus on automating the as-is process instead of evaluating, optimizing, then automating processes. With newer IA technologies, you need to rethink how you automate the process. Also, employee resistance to new technologies and concerns around job security can create risks in deploying new solutions.

Given that AI models require more extensive data sets, poor data quality or lack of data can restrict the solution’s ability to automate specific steps in the process.

As Marc mentions, there are always concerns around security. Like any new technology, implementing proper oversight and controls, which is now part of the AI governance features in the Control room, will be the key in ensuring adoption across the enterprise.


Reply


Cookie policy

We use cookies to enhance and personalize your experience. If you accept you agree to our full cookie policy. Learn more about our cookies.

 
Cookie settings