AI automation
I connect AI to the tools a business already uses, starting with one working prototype on one real process.
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Each project is labelled with its real status.
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An n8n workflow that qualifies inbound leads and updates a CRM.
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A voice agent that can trigger tools through an n8n integration.
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A content pipeline for a business newsletter. [Optional: link to cnsignals.com]
I maintain live Make.com workflows that support internal operations at a consulting firm.
Choose an example to see how a lead could be scored and routed before anyone opens it.
Illustrative only. The companies are fictional, the outcomes are pre-set, and nothing here is connected to an AI model or CRM.
Qualify, enrich and route inquiries into a CRM, with draft replies for review.
Answer inbound calls, ask qualifying questions and book meetings, with callers told they're speaking to an AI.
Turn source material into drafts for people to edit and approve.
Keep existing n8n or Make.com automations running.
Start small, test on a real process, and decide with the results in front of you.
We pick one process and agree on how to measure success.
I build a working prototype that runs alongside your current process, with a person approving each outcome.
You look at the results and decide whether to go live, change it or stop.
A first project usually takes 2 to 4 weeks at a fixed price of [price]. Production work is agreed separately.
My background is in SAP billing and business systems, so I start with how a process really works before deciding what's worth automating.
My own builds so far are prototypes, and my production experience comes from maintaining live workflows. That's why I suggest starting small.
In a 30-minute call, we can look at where your team loses the most time and whether a first project makes sense.