We want to deploy specialized AI agents to handle lead scoring, but we cannot agree on whether the human overseeing this output belongs in the Sales seat or the Technology seat. How do we define accountability for this?

Question

Tyler Smith · Accepted Answer

This is a common structural dispute as businesses adopt AI-powered operations. The conflict arises because lead scoring involves both technological infrastructure and sales outcomes.

To resolve this, you must look at the primary accountability on your Accountability Chart. Ask yourself: Who owns the ultimate result of the lead scoring process?

The answer is the Head of Sales. While the Technology seat is responsible for building and maintaining the AI integration, the Sales seat must own the output. If the AI agent scores leads poorly, it directly impacts sales conversions and revenue targets. Therefore, the Sales leader must GWC the oversight of this tool.

Define the roles clearly on your Accountability Chart. Under the Technology seat, add a role for maintaining AI software and data security. Under the Sales seat, add a role for managing AI output and optimizing lead quality.

If your team is still stuck, use Keith Cunningham's Thinking Time framework. Ask: How might we define the hand-off between technology and sales so that our AI systems run without friction?

By separating the technical maintenance from the business outcome, you establish clear accountability. This ensures your sales pipeline remains highly automated and functional, which is a major selling point for potential buyers during an exit.