Put your repetitive operations on autopilot.
We map a process your team runs by hand, then build an AI workflow that performs it automatically — understanding messages, making decisions, and moving data between the tools you already use.
- Typical timeline
- 2–4 weeks to live
- Engagement
- Fixed scope, phased
- Support
- Post-launch plans
Works with
- OpenAI
- n8n
- Make
- Zapier
- GoHighLevel
- Airtable
Most teams lose hours every day to work that follows the same steps every time: chasing leads, copying data between systems, sending the same follow-ups, updating records after a call. It doesn't scale, it's inconsistent, and it's the first thing to slip when the team is busy.
- Leads go cold while someone gets around to them
- The CRM is out of date because updates are manual
- Follow-up depends on who remembers to do it
- Adding volume means adding headcount
We build automations that combine AI for the judgement steps — reading a message, qualifying a lead, drafting a reply, classifying a request — with reliable integrations that move the data. The workflow runs in the background around the clock, logs every step, and hands off to a person at the points you decide.
- AI handles understanding and decisions; integrations handle the plumbing
- Every run is logged and auditable
- Deliberate human hand-off points, not a black box
- Built on your existing stack — no rip and replace
Inside every AI Automation engagement
AI decision steps
Language models qualify, classify, extract and draft — with prompts and rules tuned to your business.
System integrations
Two-way connections to your CRM, calendar, phone, messaging and data sources.
Guardrails & logging
Validation, retries, error handling and a full activity log for every workflow run.
Human-in-the-loop
Approval steps and escalation paths so a person owns anything the automation shouldn't.
From first call to live in weeks, not quarters
Every phase has a defined output you can review before we move on.
- 01
Map the process
We document the current steps, the tools involved, the decision points and what a good outcome looks like.
- 02
Design the workflow
We define which steps AI owns, which are rule-based, and where a human approves or takes over.
- 03
Build and connect
We develop the automation, wire up the integrations, and test it against real historical cases.
- 04
Launch and tune
We roll it out, monitor how it behaves in production, and adjust prompts and rules from real data.
Where teams put this to work
Inbound lead handling
New leads are contacted, qualified and routed automatically, with the CRM updated and the right person notified.
Back-office data entry
Information from emails, forms and documents is extracted and written into your systems without manual keying.
Support triage
Incoming requests are classified, answered when routine, and escalated with context when not.
Built on tools that hold up in production
We choose the stack for the job. Listing a tool here doesn't imply a partnership.
- OpenAI
- n8n
- Make
- Zapier
- GoHighLevel
- Airtable
- Custom API
What changes after launch
- Work that used to wait now happens immediately
- Consistent execution every time, regardless of workload
- Clean, current data across your systems
- Capacity to handle more volume without more headcount
- A clear audit trail for every automated action
AI Automation — common questions
Can’t find what you need? Send us the details and we’ll answer directly.
Often built together
Ready to scope your AI Automation project?
Tell us about the process you want to improve. We'll come back with an approach, a timeline and a cost — no obligation.