Artificial Intelligence Engine

Can work autonomously within a series of pre-defined parameters, including decision-making, routing, processing, and human interaction.

Leads Generation

The chatbot can take its interaction as input as a possible new sales lead, for follow-up by an organization’s business development office.

Workflow Processing

By leveraging the chatbot’s AI capabilities, the intelligent routing of data across an organization, based on pre-defined parameters of a workflow.

Learning and Adaptability

The chatbot should have the ability to learn the characteristics of the human with whom it is interacting. This can include speech nuances.

Natural Language Processing

Allows chatbot to “understand” voice/text inputs relayed by a human in conversational vernacular, and be able to process & relay feedback in natural speech.

Personalized Service

In conjunction with CRM/ITSM integration or browser cookies, the assistant can be configured to deliver a more personalized service to the client.

Ease of Data Integration

Use this data to determine whether the product will cause headaches or make data integration easy.

Usability and Intuitiveness

End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization

Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Quality of Features

Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration

This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support

The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation

Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features

Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training

Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement

Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Business Value Created

Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.