No invented metrics and no borrowed logos. What follows is a description of the architecture we built, the tools it runs on, and what it now does without human involvement. Client identities and internal configuration are withheld.
An education business generating enquiries across multiple international markets was losing leads to response time — the team couldn't call everyone the same day, and time-zone gaps made it worse.
We built an outbound layer on top of the existing CRM. New qualifying leads are detected automatically, an AI voice agent places the call, the outcome is classified, unanswered leads are retried on a schedule, and interested leads are booked into a real calendar slot. Every step writes back to the CRM, and summaries land in the inbox of the person who needs them.
For a realtor generating enquiries from portals and paid ads, new leads are called and messaged within minutes — the AI qualifies budget and intent, answers listing questions, books property viewings into the agent's calendar, and re-books no-shows automatically.
Enquiries and existing customers are handled on WhatsApp by an AI agent that qualifies, answers routine questions, sends booking forms, issues reminders and re-books no-shows — escalating to a human when the conversation warrants it.
Technical clean-up, a content structure built around real search intent, and reporting the client can read without a translator — improving organic visibility and content performance over successive quarters.
Meta and Google campaigns run against a single definition of a qualified lead, with the form wired directly into the CRM so campaign optimization uses outcomes rather than raw form fills.
Describe the manual process. We'll tell you honestly whether it's worth automating, and what it would take.