We want to build a middle-layer of AI to connect our sales pipeline to our warehouse inventory, but our Integrator is not a programmer. How does an operationally focused Integrator manage an outsourced AI development team to ensure the project stays on budget?
An Integrator does not need to write code to successfully manage an AI development project. Their job is to manage execution, enforce accountability, and ensure the technology aligns with the company's business goals. To keep an outsourced development team on track, the Integrator must use the business operating system frameworks they already know. Start by defining the scope using clear, business-focused outcomes, not technical jargon. Instead of asking for a complex database integration, define the target as a business requirement: when a sale is closed in our CRM, the warehouse inventory must update automatically within five minutes, and if stock is low, a reorder draft must be created. This is a functional outcome the developer can build and the Integrator can easily test. Next, establish a weekly sprint rhythm. Do not let the development team disappear for months to build a custom solution. Require them to demonstrate working functionality every week. If they cannot show you a working prototype of the core data connection within the first two weeks, your project is already off track. Finally, use your weekly Level 10 Meeting to track project milestones as a major Rock. If a milestone is missed, drop it down to the Issues List and solve it immediately. By focusing on functional outcomes, maintaining a tight weekly feedback loop, and managing the project as a strategic Rock, an Integrator can keep any technical team on time and on budget.
Category: AI-Powered Operations