We got tired of tools that disagree about who the customer is

The problem we kept watching

A customer sends a WhatsApp on Monday, calls on Tuesday and emails on Thursday. In most companies those three events land in three systems, get handled by three people, and reconcile precisely never. The sales report says one thing, the support queue says another, and the person who actually spoke to them has left for the day.

The usual answer is integration: sync the CRM to the helpdesk to the dialler, and hope. We think that is the wrong shape. If a call, a chat and a task all describe the same relationship, they should be written into the same record by construction — not stitched together afterwards by a job that runs every fifteen minutes.

What we believe about the product

A few opinions that show up everywhere in Convarza AI, because we would rather have opinions than settings:

• Different lifetimes mean different fields. A call outcome describes an attempt. A lead stage describes a person. A queue state is derived from both and is nobody's to type. One status field doing all three is how reporting dies.
• Every value states its consequence. If picking "Not interested" will take a contact out of your calling list, the dropdown should say so before you click save — not after.
• Automations should be readable out loud. When this happens, only if, then in order. If nobody on the team can read one in a stand-up, nobody will trust it enough to leave it switched on.
• Permissions follow cost, not seniority. A manager owns what they touch weekly and can undo. An admin owns what costs money, binds the company, or grants access.
• Never show a control that will be refused. If an agent cannot add a host to a booking link, we say a manager can — we do not render the button and then reject the click.

How Convarza AI relates to Pronnel

We also build Pronnel, a broader work platform for customer, team and project operations. Convarza AI is the conversations product from the same company and the same engineering team — focused entirely on the channels a customer actually reaches you on, and the AI agents that can answer them. Same infrastructure, same support, one thing to learn.