Agentfy works where the routine jams: scattered signals, ownerless decisions, slow approvals, and actions that depend on memory. We map the critical cycle and put the first workflow into operation with AI, automation, data, and human approval.
For B2B, industrial, and operational companies still running critical work through email, spreadsheets, WhatsApp, underused ERPs, 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 decisionsWe understand how work actually happens — not only how it is described in org charts, procedures, or the ERP.
We identify where the company detects too late, interprets poorly, decides slowly, acts off-time, or fails to learn from outcomes.
We implement a valuable slice, measure initial impact, and create a foundation for expanding new cycles safely.
Two cycles already running in our own industry, and the kind of cycle we close for clients. We don't publish results that haven't been measured.
A multi-agent system that senses signals on the floor, 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 casesThe people designing your cycle run a real industry — engineer-to-order, production planning, B2B sales, ISO 9001 quality. We prove every agent in our own operation before bringing it to yours. This isn't slideware: it's AI that has already been through the factory floor.
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.