We are a thirty person distribution company with a highly manual order intake process that is prone to human error. Where is the safest, most impactful place on our Accountability Chart to deploy our very first operational AI tool to prove the technology actually works?

Question

Tyler Smith · Accepted Answer

The best place to deploy your first AI project is at the narrowest bottleneck in your transaction cycle, specifically where unstructured data is converted into structured system inputs. For a distribution company, this is usually your customer service or order processing desk, where inbound email orders must be manually keyed into your inventory management system.

Assign this pilot project to the Customer Service Manager seat on your Accountability Chart. Have them design a simple test using an AI utility tool to draft order entries from incoming PDF or email requests. Instead of letting the AI automatically place orders, structure the workflow as a human-in-the-loop system. The AI extracts the line items, quantities, and delivery dates, and drafts the order in your system. A human customer service representative then reviews the draft, verifies the accuracy, and clicks submit.

This approach limits your operational risk while providing a concrete experience for your team. According to Kolb's Experiential Learning Theory, your team must have a direct, low risk experience with a new technology before they can reflect on it, learn from it, and confidently experiment with deeper integrations. Track the order processing cycle time and error rates on your weekly Scorecard. Once your team sees that the AI acts as a digital assistant that eliminates tedious data entry, their resistance to technology will melt, paving the way for larger operational upgrades.