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Voice AI conversation platform

In short

Bamco built a multi-tenant AI voice and SMS conversation platform on custom SIP infrastructure: inbound callback and overflow handling, qualification, consent capture and per-campaign CRM routing, with nothing hardcoded and everything admin-configurable.

The situation

For businesses that live on inbound calls, the missed call is the most expensive thing that happens all day: overflow at peak, after-hours enquiries, slow callbacks that let a hot lead cool. Handling that well needs real telephony infrastructure and per-campaign flexibility, not a rented voice widget with a fixed script.

The system

The platform is a multi-tenant AI voice and SMS conversation system built on custom SIP infrastructure. It handles inbound callback and overflow, qualifies the caller, captures consent where it is required, and routes each conversation per campaign into the right CRM with the right context.

The design principle is that nothing is hardcoded. Every campaign, script, routing rule and qualification path is admin-configurable, so the platform flexes as the business does rather than needing a developer for every change. Voice and SMS run on the same engine, so the same intelligence follows up in whichever channel a customer prefers. It is built as a set of monorepo services over Postgres with row-level security separating tenants.

Two ways in
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The stack

Telephony / custom SIPPostgreSQL with row-level securityMonorepo services

What it replaced, and made possible

The platform is the infrastructure behind Bamco's AI voice and SMS agents: infrastructure rather than a toy, built so an operator configures behaviour instead of a developer hardcoding it. It makes sure that when your people cannot pick up, the enquiry is still handled and moving.

Start here

Two doors. Same senior team.

Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.