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
- Design
- Development
- Training
- Reporting
- Framework Documentation
Conversational AI
We design, build and implement customized solutions for nearly any industry. Experienced in various platforms including but not limited to Google Dialogflow, IBM Watson, Amazon Alexa, and Manychat platforms. The goal is to design solutions regardless of industry and platform. Here are just some example use cases:
- Mortgage Credit Risk Assessment (SEE USE CASE)
- Voice Agents (SEE USE CASE)
- Prescreen Interview Voice Agents (SEE USE CASE)
- Robots
- Digital Customer Service
- Virtual Bot Assitant
- Voice Command Computing
- Business processes
- Smart Home

Design Process

Omnichannel Distribution
Voice technology can be deployed through multiple channels. You could use popular consumer devices like Amazon's Alexa or Google's Assistant. You could deploy it using voice agents through phone calls using a SIP Trunk through a service like Twilio. Regardless of deployment, voice design is much different from chatbot design. Test your designs using preproduction before deploying.

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
Conversational Design
- Question collection and understanding utterances
- Ground truth
- Basic of dialog
- Conversational flow
- Designing responses
Primary Elements of Designing
Conversational AI and Corporate Strategy
- Define needs
- Developing use case ideas
- Defining the purpose
- Target users
- Viewpoint
- Tone & personality
- Stakeholders
- Build your chatbot
- Work with DB to create performance metrics
- Visual data flow charts
- Interviewing subject matter experts
- Bot training and labeling
- Automated and Manual regression testing
- Agile Scrum Team
- Agile Scrum best practices
Visual Reporting and Mapping

Natural Language Processing
Achieve continuous improvement by focusing on your bot's effectiveness and coverage. Effectiveness relates to how effective your bot's reply was in helping the user find the answer. Also creating effective intents and its training phrases will help you avoid bot confusion and higher accuracy levels. The more your bot has to transfer, the less effective your bot is performing. Coverage is how often your bot answers (with confidence) user questions. Start with what you know and then expand your intent list to accommodate user demand.
Annotation - Tune Comprehension

Confusion Matrix - Classification models

Training Phrase - Labeling

Interested in Voice-Enabled Solutions Architecture?
