AI-powered client delivery workflow
You will map the full delivery process from intake to handoff, with AI doing the heavy lifting where it should. The lesson keeps human review in the loop so speed does not wreck quality.
What this lesson delivers
You will map the full delivery process from intake to handoff, with AI doing the heavy lifting where it should. The lesson keeps human review in the loop so speed does not wreck quality.
Read the playbook section by section
The four-phase delivery framework
Every project you deliver follows the same four phases: intake (collect what you need), production (AI does the heavy lifting), review (you ensure quality), and delivery (package and present the work). This framework keeps quality high and delivery predictable.
In the full lesson, we break down each phase with checklists, show you how to build a reusable project template, and explain why the review phase is the single most important step in your entire workflow. Skipping it is how agencies lose clients.
What you will learn in this lesson
This lesson gives you an operational playbook for delivering client work consistently. You will learn how to build intake forms that capture everything upfront, how to structure your AI production workflow for speed without sacrificing quality, and how to package deliverables so they look professional and reduce back-and-forth.
The biggest risk for an AI agency is shipping work that is fast but wrong. We show you the review checkpoints that prevent that.
Useful links for this lesson
Build project templates with checklists, databases, and SOPs in one place
LoomRecord delivery walkthroughs so clients understand your work without scheduling calls
GrammarlyFree quality check on all written deliverables before they reach the client
AirtableFlexible database for tracking deliverable status, client feedback, and revision history