Amelia The Most Human AI™ for the Enterprise

The Digital Employee Builder is designed for business users with little experience in Conversational AI to quickly develop new use cases. Easily incorporate APIs, RPAs and visual components simply by conversing with Amelia during the design process.

Amelia assists users in building sophisticated and advanced new Digital Employees by offering suggestions and guidance during the creation of new roles and skills.

Simple chatbots, based on rudimentary decision trees, do not deliver the level of human-like interactions required for enterprise-wide use. Our Digital Employee Builder is powered by Amelia, a proven enterprise platform, allowing users to benefit from all of her advanced capabilities, including context switching, multi-intent recognition, interruptions, digressions and more.

Best of all: None of these features require any development resources.

The analytics capabilities in our solution drive improvements in intent recognition, abandonment and escalation rates.

Based on this information, the Digital Employee Builder will make recommendations and suggestions to improve the user experience, as well as the processes the Digital Employee follows to resolve issues.

With the Digital Employee Builder, powered by Amelia, your business accelerates time-to-value due to the simple, no-code onboarding of Conversational AI agents.

On the back-end, reducing deployment time requirements dramatically lowers the operating costs associated with your Digital Employee. On the front-end, you’ll benefit from improved customer satisfaction and retention.

Amelia stores facts, concepts, and the associations between them in her semantic memory. From standard operating procedures (SOPs) to policy documents, she can be trained to apply them to conversations.

Concepts and ideas in the human brain are semantically linked, so that thinking about or firing one set of neurons in your head primes other related ones, making them more likely to fire in the future. This allows localized querying in the human brain as opposed to typical search-based algorithms which traverse the entire data set before trying to compute an answer. Amelia can be trained to emulate that capability in order to retrieve information across a wider and more complex set of knowledge.

Amelia remembers every interaction, and can use that information to deliver faster and more informed results in future interactions.

In humans, semantic memory activates the frontal and temporal cortexes, while episodic memory activity is mostly concentrated in the hippocampus. Similarly, Amelia's episodic memory gives her cognition of various experiences and events in time, in a sequenced autobiographical form. Meanwhile, her semantic memory gives her a structured record of facts, meanings, concepts and knowledge about a client's world and circumstances. The combination of the two allows Amelia to hold a wholly natural conversation that is not restricted to following set or predetermined structures.

Amelia can dynamically navigate business process flows without having to follow a step-by-step process to achieve a desired outcome. This allows her to jump from one process to another, if a conversation requires her to do so, within the same interaction or conversation.

Amelia also learns on the job by observing interactions between her human coworkers and customers, and independently builds her own process maps of what's occurred. She then stores and applies that knowledge to determine how to resolve similar situations in the future on her own. This ability to observe, understand and automatically apply this knowledge, combined with the machine speed at which she learns, allows her to quickly become an expert in any field, industry or role.

Amelia uses the state of the art affective computing and sentiment analysis techniques to computationally model user's emotion, mood, and personality.

Some AI platforms are programmed to detect keywords, record transactions, and/or analyze complex data. That simply means they’re smart or have some level of intelligence. But if the ultimate goal is to leverage AI to conduct business in the most human-way possible, then Amelia's emotional intelligence, enabled by affective memory, is a critical factor. It’s not just about reading what users say, but why and how they said it. She is then trained to respond and perform tasks based on this knowledge, allowing for more human and personalized end user interactions.