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 Designer

Neal Meinke LinkedIn Profile

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.