A running workflow
A weekly readout, tracker, classifier, source check, or drafting workflow that works against the agreed inputs.
CPG AI Workflow Build
Automate one CPG workflow without turning it into a project.
A fixed-scope build for founder-led CPG brands that already know which recurring reporting, follow-up, or channel check is stealing time.
Best fit
Use this when the bottleneck is already obvious.
The Workflow Build is the fast cash offer after a fit call or Map Session has made the first useful fix clear.
- A founder or operator rebuilds the same report, tracker, or follow-up list every week.
- The workflow touches familiar CPG tools: Shopify, Amazon, Klaviyo, Meta, GA4, spreadsheets, wholesale files, or email.
- The output can be judged by a simple test: did this remove recurring manual work?
- The first version can be narrow enough to ship without needing a full data warehouse.
What it produces
The deliverable is a working first version.
No vague audit. No generic AI training. One workflow gets mapped, built, tested, and handed off.
Source-confidence rules
Clear labels for what is current, stale, estimated, conflicting, or human-reviewed before the output is trusted.
Human review points
The workflow shows where AI can summarize, draft, compare, or flag, and where an operator still owns judgment.
Handoff notes
A short operating note for what it does, what it does not do, where to check it, and how to decide if it is useful.
How it works
Small enough to finish. Clear enough to judge.
The build follows the map. If the map is not clear, the work should not be sold yet.
01
Confirm the workflow
We lock the trigger, source inputs, recurring decision, expected output, and the human review point.
02
Build the first version
The workflow is assembled around the tools you already use wherever practical, without adding a big platform burden.
03
Test against real cases
We verify the output on actual examples and label the parts that should not be trusted blindly.
04
Hand off or stabilize
You get the working version and notes. If it needs ongoing care, that is scoped separately after the first version proves useful.
Examples
Good first workflow builds look practical.
The best first build is often the thing everyone understands and nobody wants to keep rebuilding.
Monday readout to email or Slack
A recurring brief across Shopify, Amazon, paid media, inventory, and wholesale notes, with clear source labels.
Amazon sanity check
A narrow check for order, revenue, settlement, and inventory mismatches before Amazon becomes its own mystery.
Wholesale follow-up tracker
A lightweight tracker for samples, reorders, demos, retailer notes, and the next follow-up that should happen.
Review-response drafting
AI-assisted first drafts for reviews or support patterns, with brand rules and approval gates kept intact.
Boundary
This is not a transformation program.
A Workflow Build is deliberately narrow. If the request needs a dashboard, multiple connectors, team permissions, or a bigger operating layer, it becomes a Reporting Sprint or a later phase.
FAQ
The useful objections.
Do we need a Map Session first?
Usually, yes. If the workflow is already well defined from a warm conversation, the build can be quoted directly. Otherwise, the paid Map Session is the safer first step.
What tools can this use?
Common CPG tools such as Shopify, Amazon, Klaviyo, Meta, GA4, spreadsheets, email, Slack, Zapier, Make, n8n, or lightweight scripts. Exact access is scoped before build.
Is this a dashboard?
Only if a dashboard is the right shape. A first workflow can also be a weekly brief, tracker, classifier, source check, or drafting workflow.
What happens after it ships?
You can self-manage with the handoff notes, scope small changes separately, or move into Care if the workflow becomes business-critical.
Start with the workflow. Build only when the first useful fix is clear.
The fastest route is a specific CPG operating problem, a narrow map, and a build that can be judged by whether it gives time back.