We organize your operation before any tool: we fix the process that jams the most — first so humans run it right — and leave your company ready to adopt AI. Fast and precise: senior people and well-trained AI.
For any business still running on email, spreadsheets, WhatsApp and the memory of key people.
Applied AI for companies where response time, margin, productivity, and operational control matter.
Most AI projects die at the starting line because they begin with the model, agent, or dashboard before understanding the real operational process.
Agentfy starts with the decision cycle: the path between detecting a signal, interpreting what it means, deciding the next step, acting on time, and learning from the outcome.
“The problem is not lack of AI. It is decisions staying open for too long.”
When every decision waits on an approval, a piece of data or a follow-up, the operation jams at a single point. We map the cycle, close the break — and it starts running on its own.
Today: open decisions, jammed at one point
A dashboard shows what happened. A closed cycle makes the next action happen.
Identify open decisionsAI tools and automation builders are everywhere. What almost no one does is fix the process before bolting AI on top. That's where we come in.
We work fast and precise — senior people paired with well-trained AI. You feel the result in weeks, not months.
We find the process that jams the operation the most and fix it — before any tool.
We handle documents and information, smooth the day-to-day. The team runs the process the right way.
Where it makes sense, AI and automation come in on top of a process that already works — not on top of chaos.
The operation leaves ready for AI, and you gain the capability to adopt AI on your own.
01
The one-page diagnosis: the cycle, where it jams, the latency, the cost, and the first one to close.
02
The agents running 24/7 behind the scenes — sensing signals, organizing, and executing.
03
The thin screen where you see the state of the operation and approve only what's costly to get wrong.
04
In the end, the system is yours. Ownership is transferred — it's not a tool subscription.
Here are a few examples of what we can build — all in production, running in real operations.
A multi-agent system that senses signals from the operation, interprets priority and coordinates from order to delivery — without depending on anyone remembering each step. Five of seven modules in production.
An agent that fires the request, collects supplier replies over WhatsApp and organizes everything in one place — closing in minutes what used to take days of back-and-forth. Processing real quotations.
The order needs engineering to close scope and price, and sits for days between the two. The agent classifies, extracts data, builds a checklist of what's missing and chases the owner.
See all solutionsWe design each cycle from real operations — and we prove every agent in our own operation before bringing it to yours. It's not slideware AI: it's AI that has actually run in real operations. The depth is greater where the operation is more complex.
In a few days, we map one critical workflow in your company and deliver a clear view of broken decision cycles, operational impact, and the best AI implementation opportunity.
Request Loop AuditThe first conversation is used to understand whether there is a clear, valuable, and feasible cycle to attack with process, data, automation, AI, and human approval.
Avg cycle time 35 min ↓8% · 24h throughput 286 · backlog 41.