Issue
Cognitive technologies can free employees to focus on higher-value work and turn businesses into innovation engines where ideas flow.
Your intelligent automation journey: up and running in 100 days
With a detailed action plan, you can be ready to scale up to production within just three months.
First step
1 - 30 Days: Raise awareness, align functions and mobilize resources, including a strong sponsor
- Engage and align expectations
Raise awareness across functions of what intelligent automation can do, and define who will lead the charge.
- Identify existing transformation initiatives
Consider all existing channels and in-flight programs to reduce any business disruptions.
- Organize around a program of work
Dedicated financial and human resources will become critical success factors.
- Identify your automation evangelists
A core, blended delivery team is essential in establishing the tools and methods that will enable your intelligent automation program.
Proof of concept
30 - 60 Days: Assess initial opportunities and conduct a proof of concept.
- Decide on a methodology, from assessment to deployment
Agree on a methodology that will work in your organization to assess opportunities and aid deployment.
- Create a matrix for assessing and prioritizing automation activities
This will help you identify quick wins and deliver value early using predefined prioritization criteria.
- Combine automation with other transformation levers
Consider automation in conjunction with other transformation levers such as process engineering and system integration.
- Conduct a technology capability assessment
Review the existing technology landscape in detail to prepare your infrastructure.
- Define your capability delivery model
Agree on how you will build an internal automation capability.
Prepare to scale
60 - 100 Days: Assess proof of concept results, define your framework and build a roadmap to begin development at scale.
- Assess and select vendors
Choose a vendor that meets the needs of today and tomorrow and gives you scalability and accelerated integration across different products.
- Deploy a proof of concept to assess suitability
Test to see whether the vendor’s technology is fit for purpose, robust and scalable across your organization.
- Deploy infrastructure requirements
This will become a critical element to move into production at scale, beyond the first 100-day period.
- Define and start building your Center of Excellence
The new digital operation will require a framework for governance and change.
- Develop an adoption roadmap
Outline what your automation journey looks like based on your defined case for change and business priorities.
Insights from our lab
The future is human
Transforming operating and business models
Think forward
The Cognitive Era: the most exciting phase of enterprise transformation in more than a century. One in which human brains and automated brains coexist, working together to benefit the other. Innovation causes disruption at its onset, and, yes, there is an undeniable fear in the unknown.
KPMG cognitive automation and innovation
This video gives an overview of how cognitive technologies can free employees to focus on higher-value work and turn businesses into innovation engines where ideas flow freely.
A CEO's journey to the future of business
Machine learning. Cognitive technologies. These aren’t buzz words or science fiction topics.
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Our approach
We enable organizations to achieve business-wide digital transformation:
- Holistically joining business strategy to digital strategy
- Integrating high volumes of data to predict, influence, and respond to market disruptors
- Powered by intelligent automation to drive business outcomes
- Delivering one of the leading customer and employee experiences
- Creating among the best opportunities for innovation
- Increasing human ability and business agility
- Helping organizations get prepared, ready to compete, and own their future
Learn more about our Intelligent Automation Alliance Partners
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