your customers

Customers are becoming more demanding. They want to access the information they need when they need it. The good news is that we can use AI to provide considerable customer self-service while reducing your call center costs.

We use a combination of conversational dialog and diagram patterns to engage customers. We can use structured dialogs for the most predictable questions, open dialogs to respond to more uncommon types of questions and pass customers over to human specialists when appropriate. We also use machine learning to improve our responses as we learn more, or situations change.

Intelligence can also be plugged into your existing applications through simple Rest API calls. These new components can provide additional levels of analysis or validation within legacy applications. For instance, unstructured medical case notes could be validated as the information is being entered. This can significantly improve data quality as it is being entered with minimal disruption to the application.


your employees

Increasing the effectiveness and efficiency is a goal that will be found in most project charters. Organizations invest considerable resources in developing things: processes, procedures, FAQs, call center scripts. Business analysts write volumes of strategic transformation plans. AI can be used to help employees “do the right things the right way”. We can help you enable your employees harvest the knowledge buried in these documents

Employees are being provided with an ever-expanding degree of integration to external systems and data when many are struggling to just keep up with there current system. Demands for interoperability with external systems will only accelerate these issues. Our Intelligent Analysts can capture information from these external systems so employees can see how to “do the right things the right way”, even in a foreign system.


your products

Organizations are constantly being challenged to transform in search of increasing effectiveness and efficiency. But change can be difficult and lead to unintended consequences. Our Transformation Analysts are based on a unified set of transformation models. These models allow businesses to quickly explore potential transformation strategies while minimizing risk. Our Intelligent Analysts act as transformation “subject matter experts (SMEs)”. They provide intelligent analysis of the business transformation process: goals, what to change, what to change to, how to implement the changes, and how to resolve organization conflicts which impede transformation.

These Analysts can also help you look beyond your current organization to explore the “art of the possible”. This may involve analyzing peers within the same or related industry. For instance, a social services agency may want to analyze how other social services agencies have implemented the “Outcomes-Based Practice” transformation, or they may even want to analyze related industries such as health care. We refer to this as organizational benchmarking.


your operations

“Our Intelligent Analysts use operational models to collect, analyze and explain operational concepts. They can also be used to analyze potential bottlenecks and optimization opportunities.

Interoperability is a key focus of our Intelligent Analysts. Organizations are becoming much more interdependent on data sharing and process collaboration. Organizations tend to focus on optimizing their internal efficiencies, but this doesn’t always achieve the best result for the enterprise or across a collaborative community. Our Intelligent Analysts utilize cause and effect models to provide insights into root causes of performance issues needed to optimize interoperability across internal and external organizations.

As we mentioned above, organizational benchmarking can be used to compare operational efficiency across organizations. This comparison is based on factors such as goals, current capabilities, and planned transformations.