AI automation for growth and operations teams AI Workflow Automation

Hand the repetitive work to AI workflows, and keep people on the decisions.

A monthly engagement that removes manual work with AI workflows that actually ship. We map the repetitive tasks in growth, sales, support and operations, build automations in n8n, Make or code with models such as Claude, add the internal tools and dashboards your team needs, and keep a person in the loop for anything that matters. Every workflow is measured by the hours it saves.

Works across
  • n8n
  • Make
  • Zapier
  • Claude
  • OpenAI
  • Slack
  • HubSpot
  • Google Workspace
Sound familiar?

What we hear before we start.

Half the team’s week goes on copying data between tools.

Every weekly report is built by hand from five different tools.

We bought five AI tools and none of them talk to each other.

What is AI workflow automation?

AI workflow automation connects your tools and uses AI models to handle repetitive tasks such as research, data entry, summarising, drafting, routing and answering common questions. Tools like n8n, Make and Zapier run the workflow, and a model such as Claude handles the steps that need reading or writing.

Why it matters now

Why it matters now.

Small teams lose hours every week to work that follows the same steps: researching leads, moving data between tools, writing first drafts and answering routine questions. That time comes straight out of selling and building.

Most of it can now be automated reliably, as long as each workflow is narrow, tested and checked by a person where mistakes are costly. The hard part is not the AI. It is choosing the right tasks and building them properly.

What we do

The work, piece by piece.

01

Task map

Repetitive tasks across growth, sales, support and ops listed and ranked by hours saved.

02

Workflows

Automations built in n8n, Make, Zapier or code, connected to the tools you already use.

03

AI steps

Models such as Claude used for research, summaries, drafting and classification, with clear prompts and tests.

04

Internal tools and dashboards

Small internal apps and live dashboards that replace spreadsheets and copy-paste reporting.

05

Human checkpoints

Approval steps wherever a mistake would cost money, reputation or a customer.

06

Monitoring

Logs, error alerts and a monthly report on hours saved and quality.

Deliverables

What the engagement includes.

  • Automation opportunity map ranked by hours saved
  • Workflows built in n8n, Make, Zapier or code
  • AI steps with tested prompts and fallbacks
  • Internal tools and dashboards your team uses daily
  • Human approval steps and error alerts
  • Monthly report on hours saved and issues fixed
What we need from you
  • Access to the tools the workflows will connect
  • Someone who knows the current manual process
  • The reports and dashboards you build by hand today

Don’t have everything to hand? Share what you can; we’ll guide you on the rest when we kick off.

We work alongside you month to month, with meetings as you and we agree, for as long as it adds value. Scope and fees are agreed with you before we start.

Proof from our work
15public tools we built and run, plus the internal workflows behind our own outreach and reporting
See the source →
How it works

How the engagement runs.

01

Map

We shadow the work and list tasks worth automating.

02

Pilot

One high-value workflow built, tested and run alongside the manual process.

03

Roll out

The pilot goes live, then the next workflows follow.

04

Maintain

Workflows monitored, fixed and improved every month.

Start with a teardown

See what we’d fix before you commit.

Signs it’s time:

  • Ops, support or data-entry roles being hired
  • Posts about manual work or tool sprawl
  • Reports and dashboards assembled by hand every week

The teardown covers:

  • The manual tasks in your team that are easiest to automate
  • A first workflow we would build, with the hours it should save
  • Which reports or dashboards could build themselves
AI workflow automation teardown

Two fields. A short teardown back within 3 working days, yours to act on either way.

Straight answers

AI workflow automation FAQ.

Which tools do you build with?

n8n, Make and Zapier for workflows, Claude and other models for the AI steps, and code where a no-code tool is not enough. We choose based on your stack and who will maintain it.

Is it safe to let AI handle customer data?

We design workflows to send only the data a step needs, use providers and settings that fit your privacy requirements, and keep a person in the loop for sensitive actions. We agree data handling with you before building.

What about chatbots and voice agents?

Those are their own service, AI agents and chatbots, because they face your customers. This engagement covers the internal workflows, tools and dashboards behind the scenes.

What happens when a workflow breaks?

Every workflow has logging and error alerts. Monitoring and fixes are part of the monthly engagement, so tools changing an API does not quietly stop your operations.

Operator-led · organic first, paid when it pays

Ready when you are.

Tell us about your product and what you want from AI Workflow Automation. A founder replies within one business day.