VISION:
THE INTELLIGENT ENTERPRISE
Integrate AI into your processes to transform your business into an intelligent enterprise. Combining the power of AI with automation technologies will streamline operations, reduce costs, improve efficiency, and enhance the overall customer experience with the potential to outperform or even disrupt your market.
DIGITAL VALUE STREAMS©– INTELLIGENT PROCESSES POWERED BY AI
The concept of a digital value stream marks is a departure from traditional process analysis and design. It prioritizes the creation of genuine value through AI-powered intelligent processes running on automation platforms that combine internal and external data to generate highly customized information. They connect sytems, tools and process to build an ecosystems to generate network effects that outperform traditional business models.
INTELLIGENT PROCESS AUTOMATION
…aims at the high-level cognitive tasks, e.g. decision making, problem-solving, learning and comprehension, perception and interpretation of sensory information, creativity and imagination and natural language processing. By means of automation technologies the output of such processes is delivered to individual customers or micro segments through omni-channels at any time, place and format.
Because of its enormous disruptive potential and its low barriers of entry, intelligent enterprise automation (IEA) should be one of the major business themes and strategic imperatives today and over the next decades.
The question for enterprise leaders is not whether or when to engage in IEA,
but rather how to start now.
THE EVOLUTION PATH
How to gradually leverage automation technologies and AI including generative AI to transform into an intelligent enterprise
THE SPEED OF EVOLUTION
How fast companies are preparing for the digital race
By 2023
65%
of companies will have a digital roadmap*
By 2023
60%
of leaders in G2000 organisations will have shifted their management orientation from processes to outcomes, establishing more agile, innovative, and empathetic operating models*
By 2023
60%
of G2000 companies will build their own business innovation platform to support innovation and growth in the new normal*
By 2028
~50%
of S&P500 companies will be replaced (due to the forces of creative distruction from digital technologies including business platforms)**
DON’T LOOSE OUT !
*Source: IDC (https://www.businesswire.com/news/home/20201029005028/en/IDC-Reveals-2021-Worldwide-Digital-Transformation-Predictions-65-of-Global-GDP-Digitalized-by-2022-Driving-Over-6.8-Trillion-of-Direct-DX-Investments-from-2020-to-2023)
**Source: Corporate Longetivity Forecast (https://www.innosight.com/insight/creative-destruction/)
METHODS &
PRINCIPLES
How to transform into an intelligent enterprise and which principles apply
At the core of the transformation into an intelligent enterprise is the transformation of processes, which in turn is a process as explained below.
This core is underpinned by a technology base, that is a portfolio of automation technologies that will be applied to intelligently automate the processes in scope.
The transformation of processes and hence of the entire enterprise is guided by a digital strategy that advices which processes have to transformed in which order and how each transformation contributes to the overarching goals of establishing an intelligent enterprise to ensure sustainable growth.
Despite the focus on automation or just because of this focus the people remain the most valuable asset of any company. Their commitment to change and their input into the design of the new processes is vital.
BUILDING BLOCKS
What are the technological elements to automate processes and build an intelligent enterprise?
Data Analytics: identifying patterns, decision trees or advanced statistics that could be leveraged, e.g. data-driven automation of decisions.
Document Analysis: a combination of OCR and AI-based Natural Language Processing (NLP) and Natural Language Understanding (NLU).
Chatbot: automated conversations and data exchange between machine and human
Decision support: see above – on application of data analytics.
Block chain: the controlled execution of of transactional processes for high transparency and trust for all stakeholder.
AI – artificial intelligence: the usage of neural networks as the basis for machine-learning algorithms for a wide variety of use cases.
BPMS – Business Process Management: an application platform to design and implement an automated process and/or value stream. It plays a central role as it connect through APIs to the other building blocks and builds together with these elements the platform needed for the intelligent enterprise, in particular if hosted in the Cloud.
The combination and Integration of technologies is key !
1 + 1 = 3
The challenge is to find the right combination for the right process to generate the digital value stream(s) that best matches supply & demand.
This requires skills, experience, technology understanding and business acumen.