AI Systems
AI automation for small businesses that can't keep up anymore
Four systems for the frictions eating up most of your time: capturing clients, responding to them, handling the paperwork, and deciding what's actually worth automating.
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Sales automation with AI: no lead goes cold waiting for you
A lead who messages you on a Tuesday night and gets a reply on Thursday isn't a lead anymore. They're your competitor's customer.
I connect your CRM to WhatsApp and email so every contact comes in, gets qualified and receives follow-up without you lifting a finger. The AI reads the conversation, detects real buying intent and drafts the proposal for you. You only step in for the part that needs your judgment: closing the deal.
This works well if you already have a flow of contacts and your problem isn't generating them, it's responding to them in time.
AI customer service agents: correct answers, not generic ones
The problem with almost every chatbot is that it answers something, anything, just to answer.
I train an agent on your real documentation: prices, terms, incident history. I use RAG, the technique that forces the model to answer from your documents instead of making things up. If the answer isn't in your knowledge base, it hands off to a person instead of inventing one. Every conversation is logged, so you can audit what was answered and why.
It makes sense when your team is answering the same twenty questions every week.
Business process automation: paperwork that handles itself
The hours don't disappear into the hard tasks. They disappear into copying data from one place to another.
I sync the tools you already use so documents generate themselves, invoices go out without anyone typing them, reports land on day one, and issues get assigned without a meeting in between. I don't change how you work. I automate how you already work.
It's usually the system that shows results first, because the time you get back shows up in the first week.
Holistic diagnosis: deciding what to automate before you automate it
Automating a process that shouldn't exist in the first place is the most expensive way to waste time.
Before writing a single line of code, I assess whether a tool adds to you or drains you. I work with Kinesiological Muscle Testing and David R. Hawkins' Map of Consciousness, which is the part of my work that looks least like a typical consultancy. It doesn't replace technical analysis, it complements it: the final decision still rests on numbers.
Ask for it when the question isn't how to do it, but whether it should be done at all.
Frequently asked questions
How long until it's up and running?
It depends on the system and the state of your current operation. A specific back-office automation goes live faster than an agent trained on your entire documentation. In the diagnosis, I'll give you a real timeline, not a brochure one.
Do I have to change the tools I already use?
No. I work with what you already have, as long as it can connect. Switching tools is the last option, not the first.
Does this work for a small team?
Yes, and it usually shows more. The smaller the team, the more it costs you when one person spends the morning copying data from one spreadsheet to another.
What happens if the AI gets it wrong?
That's exactly why the agents are built with RAG and hand-off to a person. If the answer isn't in your documentation, it doesn't make one up, it passes the conversation along. And everything gets logged so you can review it.
Let's start with the one that hurts most
Thirty minutes, no strings attached. You'll walk away with a diagnosis of which system gives you back the most time first.