This is an interesting direction and definitely resonates to a degree from a HubSpot / RevOps implementation perspective.
The problem you're pointing at is real, most CRM builds still rely on static forms or basic chatflows, which means poor upfront qualification and incomplete first-party data. Anything that can improve data quality and capture richer buyer intent before it hits the CRM is valuable, especially as third-party signals become less reliable.
Where I think it gets interesting is the MEDDIC angle. If your AI can consistently structure and map that data into CRM properties in a usable way, that’s a meaningful upgrade over what most agencies are deploying today.
That said, you’re also entering a pretty crowded space. Tools like Drift, Intercom, and even HubSpot’s own chat + AI features are already moving in this direction, so the differentiation will likely come down to:
How well the AI actually qualifies (not just chats)
How cleanly the data syncs into CRM workflows
And whether it improves conversion → pipeline, not just “intent signals”
I do think agencies would be open to testing something like this if it plugs cleanly into existing HubSpot/Salesforce architectures without adding operational complexity.
Happy to take a look or test if you’re running pilots.
