Failed multiple attempts before this simpler solution helped us swim through.. We did have a breakthrough on developing this just with a base flow – next phase on integrating other medias..
Simpler Intelligent Agent Systems – Agent Access Layer / Agent Foundation Layer:
In today’s AI-driven world, designing scalable and secure agent systems is critical for delivering seamless user experiences across multiple channels. Here’s an overview of an architecture we’ve been working on:
Multi-Channel Input – React / Tensorflow js
Supports Web/Mobile and Gesture-based interactions for flexibility and accessibility.
Security First – AES, gRPC
PHI/PII handling ensures compliance and privacy at every step.
Layered Design – React / Python, Rasa, Twilio
Presentation Layer: Navigation, Authentication, Action Listener
Middleware: Redaction, Sentiment Analysis, Agent Classification
Agent Functional Layer: Intent detection, Escalation, Training
Hybrid AI Integration – OpenAI, MaaS, LLM
Combines Local Models with External LLMs via Multi-Agent PODs for advanced reasoning and adaptability.
Continuous Learning –
Feedback loops between agents and local model DB keep the system evolving.
This architecture is designed for scalability, security, and intelligence, enabling businesses to deliver personalized and context-aware experiences.
A good set of use cases has been beneficial on combination of these for service center, e-commerce, processing orders / claims..
Simpler straightforward approach and scalable one.. Your approach ?
#aistack
Thoughts Map 