Our operations team is building several practical AI workflows using low-code tools, but we do not have an IT department to maintain them when APIs change or updates break. Where does the accountability for maintaining and troubleshooting these AI integrations sit on our Accountability Chart?

Question

Tyler Smith · Accepted Answer

Do not make the mistake of creating a new, isolated IT department or hiring expensive software developers just to maintain basic low-code AI workflows. This approach creates communication silos and detaches the technology from the actual business outcomes it is supposed to deliver.

Instead, accountability for maintaining an AI tool must sit squarely within the operational seat that owns the process. If your finance team uses an automated AI tool to reconcile invoices, the head of finance must own that tool. If your sales team uses an AI script to triage inbound leads, the sales manager must own that script.

To make this work practically, update the roles and responsibilities for each seat on your Accountability Chart to include the management of their specific digital tools. The seat owner must be responsible for:

- Monitoring the weekly performance and accuracy of the AI workflow.
- Troubleshooting basic errors or API disconnects using the vendor documentation.
- Keeping the prompt templates updated as business needs change.

If a workflow breaks and requires advanced technical help, the department head can utilize an external low-code specialist on a project basis. However, the daily operation and basic upkeep must remain with the team member who has the greatest incentive to keep the process running smoothly. This keeps your team highly accountable and prevents your operations from becoming dependent on a single, specialized tech hire.