AIDD: Audit, Isolate, Design, Deliver.

What happens at each step?

1. 01

   Audit

   I map what you have: tools, data, codebase and the one number you want to move.

   In GTM engineering

   Lead sources, CRM, sending mailboxes, sequences and reply handling.

   In AI engineering

   Product codebase, data model, candidate AI features and existing model usage.

   Output: Audit report with findings and risks

2. 02

   Isolate

   We pick the single workflow or feature with the fastest payback and agree what "done" means.

   In GTM engineering

   One workflow, for example getting clean leads into sequences without manual steps.

   In AI engineering

   One feature, for example document Q&A for your customers, with a measurable quality bar.

   Output: Scoped brief with acceptance criteria

3. 03

   Design

   I write the architecture, data contracts and test set before code, so cost and risk are visible early.

   In GTM engineering

   Data flow, integrations, deliverability setup and the metrics dashboard.

   In AI engineering

   Retrieval design, model layer, prompts, test set, cost limits and failure handling.

   Output: Architecture document and test set

4. 04

   Deliver

   I build in your repository with weekly Loom updates, a demo at each milestone and full handover docs.

   In GTM engineering

   Pipeline, automation and CRM sync running in your accounts, with a runbook.

   In AI engineering

   Feature in your repository, measured against the test set, with monitoring.

   Output: Working system, runbook and handover