Evaluation and Continual Improvement for an Enterprise AI Assistant

TL;DR

This paper discusses the challenges in evaluating and improving enterprise AI assistants, sharing preliminary results and lessons learned to guide iterative development of conversational AI systems.

Contribution

It introduces a framework for evaluating and continually improving enterprise AI assistants, addressing specific challenges in their iterative development process.

Findings

Identified key challenges in evaluating enterprise AI assistants.

Shared preliminary results on improvement strategies.

Discussed lessons learned for future development.

Abstract

The development of conversational AI assistants is an iterative process with multiple components. As such, the evaluation and continual improvement of these assistants is a complex and multifaceted problem. This paper introduces the challenges in evaluating and improving a generative AI assistant for enterprises, which is under active development, and how we address these challenges. We also share preliminary results and discuss lessons learned.