AI Automations
Operational workflows automated with AI so your team stops doing the same task three times a week.
The problem
Most teams know exactly which tasks eat an afternoon for no reason — intake forms copy-pasted into a spreadsheet, qualification calls following the same script, weekly reports assembled from five tools nobody connected. The work is not interesting, it is not strategic, and it is not going away on its own.
The blocker is usually not the automation itself but the decision about which tool does what part — where the AI judgment goes, where the human judgment stays, and what happens when the automation hits an edge case.
How we get there
Process audit
We map the workflow as it actually runs — not as it was documented — and find the steps worth automating versus the ones that need to stay human.
Tool selection
Make, Zapier, n8n, or custom code depending on the complexity and ownership requirements. We do not default to the one we know best.
Build and test
Edge cases tested before the automation goes live — not discovered when the first exception hits a dead end.
Handoff and monitoring
You own the automation and can modify it. We set up alerting for failure states so you know when something breaks rather than guessing.
Deliverables
- Process map and automation specification
- Deployed automation with edge-case handling
- Failure alerting and monitoring
- Documentation for modification
Stack
- Make
- Zapier
- n8n
- OpenAI
- Airtable
- Webhooks
Frequently asked
Which automation platform do you use?
Depends on what you already use and how much ownership you need. Make and n8n run on your infrastructure; Zapier is faster to set up and slower to debug at scale.
What happens when the automation breaks?
Alerting is built in before handoff — failures surface to whoever is responsible for it, not to a support ticket.
Can you automate something across tools that do not have APIs?
Sometimes — browser automations and webhook bridges extend further than native integrations. When the answer is no, we tell you before we build it.
