Conversational AI - Chatbots and Voice Agents


Design & Development


Training & Optimization


Framework & Best Practices


Creating conversational chatbots is a great way to extend the capabilities of your customer service department.  Conversational bots offer an opportunity to simplify the consumer’s experience by empowering their self-service capabilities.  Great chatbots are developed with a structured network of API connected applications enabling a company to communicate consistently & dynamically over diverse digital properties.  Chatbots can be deployed over voice-enabled technology devices expanding your reach.   Most believe investing in the development of customized conversational models will produce dividends over the long term.   Simply text to begin the discussion: 520.955.3067

Services Offered

  1. Design
  2. Development
  3. Training
  4. Reporting
  5. Framework Documentation

Conversational AI Designer

Google Dialogflow and IBM Watson platforms

We design, build, and implement customized solutions for nearly any industry.   Here are just some example use cases:


  • Mortgage Credit Risk Assessment (SEE USE CASE)
  • Voice Agents (SEE USE CAE)
  • Prescreen Interview Voice Agents (Personality Insights)
  • Robots
  • Digital Customer Service
  • Interviewing to qualify an individual
  • Virtual Bot Assitant
  • Voice Command Computing
  • Research Engine
  • Business processes
  • Smart Home
  • Onboard Vehicle Command Computing



Voice-Enabled Package - Example Voice Agent Architecture


Voice Agent Architecture Example




Voice technology can be deployed in 2 creative ways.  You could use the popular consumer devices such as Amazon's Alexa or Google's Assistant. You could also deploy it using voice agents through phone calls using a SIP Trunk through a service like Twilio.  However, both require a conversational chat handle service like IBM Watson Assistant or Google Dialog Flow.


Conversational Chatbots Provide:


  • 24/7 availability
  • Create a consistent greeting & triage method of serving customer needs
  • Both ‘structured’ and ‘unstructured’ formats enable a dynamic conversation
  • Deployment of single message over multiple platforms
  • Serve customers documents, links, and images
  • Empower customers with order details through secure platform APIs
  • Provide a secure purchase option through chatbot conversations
  • Tone Analyzer & Live agent merge when unhappy customer conversations escalate


Primary Elements of Designing and Development

Conversational AI and Corporate Strategy

  • Define needs
  • Developing use case ideas
  • Defining the purpose
  • Target users
  • Viewpoint
  • Tone & personality
  • Conversation team
  • Build your chatbot


Conversational Design

  • Question collection and understanding utterances
  • Ground truth
  • Basic of dialog
  • Conversational flow
  • Designing responses


Mapping Conversation


User Experiences

  • Deployment channels
  • Optimization
  • Memory and personalization
  • Machine learning