All businesses have institutional knowledge that goes unused. It may be siloed, trapped by organizational complexity, or hidden in labyrinthine storage and management layers. Reorganizing into a single system often isn’t realistic or even advisable. But with the advent of generative AI, it is now possible to query this knowledge from a single UI by having a natural language conversation with a chatbot or assistant.
AI-assisted knowledge retrieval is layman-friendly, adaptable, and can even synthesize new knowledge by cross-referenced extrapolation. With AWS services like Amazon Lex, Amazon SageMaker, and AWS Lambda in combination with open source agentic frameworks like LangChain and techniques like retrieval-augmented generation, AI-powered platforms can disseminate organizational knowledge more effectively than ever.
Offer intuitive and human-like interactions
Reduce manual effort associated with knowledge work
Adapt and grow based on user interactions and feedback
Take discrete data and cross-reference to generate new knowledge
Collect analytics on knowledge searching and use
Over a 4 to 6 week period, we’ll construct an engagement to get you up and running. By the end, you’ll have a pilot solution deployed in your environment that’s been designed to accomplish your objectives and demonstrate the potential of a fully scaled architecture.
At the end of the design phase, you get:
At the end of our Pilot phase, you get:
