Enterprise Automation Intelligence (EAI) is an Enterprise’s digital business process journey from their legacy ERP system through to achieving holistic Enterprise Intelligence.
EvAIntel Ventures portfolio companies’ end-to-end EAI software application solutions are our point of departure from the wrongful tangent of the past that picks up where legacy ERPs left off and assists enterprises in their digital transformation on their journey toward becoming their market’s Disruptor and an Intelligent Enterprise.
It is critical to think end-to-end about business processes, designing journeys that get customers results they want in a way that is easy for them and efficient for the enterprise. EvAIntel's EAI solutions are about using process mining, intelligence, and design thinking to streamline business processes to create better experiences for your employees and customers.
ERPs require annual maintenance & support contracts that result in a money pit or become unsupported if our enterprise refuses to upgrade to the new release before the current release is sunset. We want to talk about cost-takeout, but our ERPs want to talk about spending more money implementing their next release that doesn't even answer our digital transformation needs. EvAIntel's EAI solutions provide for a harmonized ERP technology architecture that prepares you for the future while reducing costs.
Emerging digital technology vendors (e.g., Data, Analytics, Internet of Things, Blockchain, Robotic Process Automation, Machine Learning, Artificial Intelligence, etc.) only provide emerging technology ‘tools’ and one-off use cases leaving enterprise users without an end-to-end solution and to figure out how to use the tools. As a part of our digital and EAI transformation approach, EvAIntel's EAI solutions provide for a harmonized digital emerging tools & architecture that prepares you for the future.
Trying to solve every business process and automation problem with RPA alone leads to failures and creates new silos. If operational business processes are siloed and slowed by bottlenecks, an army of Bots performing repetitive functions will not fix the issues inherent in flawed business processes. While the promise of these technologies is exciting, technology itself will never replace the hard work of transformation – getting organizational alignment across silos, learning to think end-to-end and from a customer-first perspective, and building competencies around Agile development and design thinking. EvAIntel's EAI solutions ensures this by combining AI and RPA with Business Process Management (BPM) and Case Management, which have been proven to deliver results at scale, with Agile methods and design thinking.
The best thing an enterprise can do is encourage a data-focused culture that realizes the importance of security and privacy, as well as understanding that data is crucial to the enterprise's success. Data
is a crucial business asset from which an enterprise can extract value and gain competitive advantage. Those who use data well will be the success stories of the future.
If an enterprise can start to treat data as an asset, they can put themselves in a position where data really can provide a competitive advantage.
In the current hype cycle, artificial intelligence or machine learning often are depicted as relatively new technologies that have suddenly matured, only recently moving from the concept stage to integration in applications. However, the AI of today is a continuation of advances achieved over the past couple of decades. The reason we are seeing AI appear in so many places is not so much about the AI technologies themselves, but the technologies that surround them—namely, data generation and processing power. In classic machine learning scenarios, it’s important to know our data and have an idea about how we want that system to find patterns. Unlike deep learning, this type of machine learning has progressed more on a steady pace. Recent advances in artificial intelligence have come primarily in areas where data scientists are able to mimic human recognition abilities.