CDAI

CDAI Engine is a nearly 19,000-line deterministic rules engine built to answer one question no ad platform or CRM answers on its own: what did this lead actually cost, and is it worth keeping? It connects directly to your ad platforms (Meta, Google, LinkedIn) and your CRM (HubSpot, Salesforce), or accepts a CSV upload, and reconciles what you spent against what actually closed. Ad platforms only report media spend, but the real cost of a lead also includes platform fees, broker payouts, refunds, chargebacks, and compliance costs — none of which show up on a standard ads dashboard. CDAI pulls all of it together automatically and calculates true cost per lead and true contribution margin for every campaign, in real time.

Based on that math, it issues one of eight directives per campaign — SCALE, HOLD, CUT, PAUSE, QUARANTINE, RENEGOTIATE, INVESTIGATE, or FLAG — so you know exactly what action to take, not just what the numbers are. It's not AI. There's no model, no black box, and nothing probabilistic: it's fixed-threshold logic, so the same data always produces the same directive, and every decision traces back to an auditable rule. That's what separates it from every dashboard built on machine-learning "insights" — CDAI's output can be checked, line by line, against the exact rule that produced it.

A 14-panel live dashboard exposes the full math behind every directive: campaign-level cost gaps, contribution margin by campaign, partner risk scorecards, quality trends over time, and directive outcomes tracked against what actually happened after each call — all visible with nothing gated behind a paywall or tier. Built to work across any vertical that buys leads or customers through paid channels — insurance, home services, senior care, legal, solar, mortgage, and more — at any spend level, from a single campaign to a full portfolio.