Unpacking my ‘go-to’ architecture for delivering web-scale customer interaction models.
This architecture reflects my current technical acumen and business philosophies:
I use it within my own projects — and as a baseline for related consulting work.
It’s an ideal — secure, performant and modular — platform for delivering:
Inspired — and perpetually evolving — from AWS reference architectures and experience design best-practices:
Maintained in a library of CloudFormation templates and deployable on-demand — as individual modules or end-to-end.
JSON), so there is no compelling reason to take on the added costs and complexity of a 3rd-party tool
This architecture also fills a key role in a more comprehensive cloud strategy:
So let’s dive in…
Laying the groundwork for world class AI-powered customer interfaces.
In our modern information-rich economy, attention is the core commodity. And consumer attention is won with context. While context is created with personalized experiences.
With this solid foundation in place, we can easily enhance functionality using a number of different add-on modules:
Let’s dive a little deeper into those modules…
This add-on module provides a chatbot that can be integrated with application.
Direct integration with 3rd-party messaging platforms, e.g. Messenger, etc.
This add-on module enables a microservice for intelligent contact flows.
Voice-based customer service at web scale.
Add-on microservice providing custom decision automation.
Custom machine learning models, for example:
Add-on microservice providing language translation automation.
Application and website content.