Automate the work

AI workflow automation

Replace the spreadsheet handoffs, copy-paste reporting and approval chases that eat your team's week.

What we do

We map the repetitive work inside your marketing operation, then rebuild it as automated workflows with AI doing the judgement-light steps and people doing the rest. Typical targets: reporting packs, campaign launch checklists, product feed hygiene, review and UGC triage, influencer and affiliate admin, and finance reconciliations.

What you get

  • Workflow audit with time-and-cost baseline per process
  • Automation build on your stack (Zapier, Make, n8n, or code on AWS)
  • Monitoring, alerting and a runbook your team owns
  • Monthly hours-saved report for the first 90 days

Research and answers on this topic

Related work

Common questions

Which marketing workflows are usually worth automating first?
Reporting packs, campaign launch QA, product feed checks and customer-review triage. They are frequent, rule-heavy and already cost a known number of hours each week, so the return is easy to measure.
Do we need to change our tools to automate?
Rarely. We build on the tools you already run (Shopify, Klaviyo, Meta, Google, HubSpot, NetSuite) and only recommend a change when the current tool cannot expose the data we need.
How long does an automation engagement take?
Most start with a two-week audit, then six to ten weeks of build and testing. You see the first workflow live inside the first month.
How is an engagement priced?
Fixed scope, agreed in writing after the audit, so you know exactly what you are buying before any build starts. An optional care plan covers monitoring, fixes and small changes afterwards, month to month.

Talk to us about your stack

A 30-minute discovery call with our founder. We will tell you honestly whether an engagement makes sense and where the first return would come from.