Intelligent Automation Readiness Survey

Take the Intelligent Automation Readiness Survey to explore your capability in each of the four core IA technology areas - RPA, AI, BPM and Integration.

To complete this self-assessment, work through each statement, indicating how much you agree or disagree with the statement.

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Intelligent Automation Readiness Survey

Robotic Process Automation (RPA)

Assessing Your Readiness of ?

  • Completely Agree
  • Partially Agree
  • Partially Disagree
  • Completely Disagree

Artificial Intelligence (AI)

Assessing Your Readiness of ?

  • Completely Agree
  • Partially Agree
  • Partially Disagree
  • Completely Disagree

Business Process Management (BPM)

Assessing Your Readiness of ?

  • Completely Agree
  • Partially Agree
  • Partially Disagree
  • Completely Disagree

Integration

Assessing Your Readiness of ?

  • Completely Agree
  • Partially Agree
  • Partially Disagree
  • Completely Disagree
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What represents a 'good' assessment result?

Very few organizations are in a position today with Intelligent Automation to score near 100% on every dimension. The key thing to bear in mind is that if you're serious about implementing an Intelligent Automation strategy, you should aim for balance in your scoring across these four dimensions (RPA, BPM, AI and Integration). So if you score 60% in RPA, for example, a balanced score that sees you attain scores of around 50-70% in the other dimensions is likely to lead you to the best result.

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What does your score mean?

Robotic Process Automation

Robotic Process Automation If your score for RPA is high, but your scores in the other dimensions are relatively low, you are likely to find that although you can implement a number of self-contained task automation projects, delivering consistent rates of automation (where work is automated almost all of the time) will be very challenging. If you’re serious about transforming the nature of work in your organization through automation, you need to reach beyond RPA with additional technologies to create an Intelligent Automation strategy.

Business Process Management

Business Process Management If your score for BPM is high but your scores in the other dimensions are relatively low, you are likely to find that overall, you can apply a degree of automation to business processes and get insights on end-to-end process performance; but where tasks rely on clerical work with legacy systems or interactions with other systems via APIs, driving out waste becomes very challenging.

Artificial Intelligence

Artificial Intelligence If your score for AI is high, but your scores in the other dimensions are relatively low, you are likely to find that individual decisions and tasks relating to receiving, triggering and triaging work can be automated in quite advanced ways; but the follow-on task(s) relating to the actual processing of that work are difficult to automate flexibly. Hard-coding automated tasks might seem like a cost-effective option, but in reality, it's rarely the most cost-effective option over the medium term.

Integration

INTEGRATION If your score for Integration is high, but your scores in the other dimensions are relatively low, you are likely to find creating 'straight-through' integration pipelines connecting application systems straightforward; but where processes still rely on humans to carry out certain tasks, or rely on data being managed in relation to legacy systems, you'll have significantly more difficulty. What's more, gaining end-to-end business insight across your integration flows will likely be quite difficult.

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