There’s a lot of hype around artificial intelligence (AI) right now, and the market is littered with hundreds of companies making lofty promises. In reality, many companies struggle to achieve the anticipated efficiency gains post-AI implementation. The envisioned future promised by AI entails swift resolution of customer queries, administrative task handling, and focusing your employees on complex tasks while AI efficiently manages routine interactions. AI has been touted as a solution to both the US labor shortage and cost efficiency…but is it the cure-all solution that it promises to be?

We’ll explore this pivotal aspect, contrasting the lofty expectations of AI with the practical outcomes, highlighting the need for a robust foundational base that includes your employees and the advantages of co-sourced labor.

A significant number of projects fall short of expectations, and many never progress beyond the planning stage due to a lack of solid foundational elements essential for AI success. Dissecting the core reasons behind this disparity, we’ll underscore the critical importance of strong foundational practices: