Hellomatik puts your company's model in writing: data, processes and rules. On top of it, agents that answer, watch and execute within the limits you set.
Cumulative across systems in production. Warehouse operations measured in August 2026; the monthly figure is the current run rate.
Where the agents already work, and on what
01 · Where you start
For AI to work inside your company, it first has to know it.
Only the third one gets you autonomous agents and automated processes.
Which payments are due this week?
Example: ChatGPT
It writes well and, about your business, answers generalities. You use it by copying and pasting your data, and every new chat forgets the last one.
It knows neither your data nor your procedures, and has no access to your company's history.
Which payments are due this week?
Example: ChatGPT+ connectors
With connectors it can read the database, the ERP or the CRM, but with no description of how the company works it becomes a search box: it returns loose fragments.
Without the model behind it, there is nothing to tell you which of the two is right.
Which payments are due this week?
Shall I prepare the reminders and the note to each rep?
Hellomatik
It knows your data, your processes and your limits: it answers with complete data, watches the operation and executes with your approvals.
With each agent's data precomputed, the same question always gets the same answer.
Hellomatik does not compete with AI models: it complements them.
The platform brings in the best AI models on the market to run your agents.
02 · The model
What information exists, which systems it lives in and how it connects.
Today that link lives spread across three systems; written down, it can be followed in one go.
How the company actually works, in a form a system can follow.
Today that knowledge lives in your team's heads; written down, it becomes instructions an agent follows.
The answers each agent needs, refreshed at the pace each one demands: every five minutes, every hour or overnight.
Debt, open tickets and trend, in a single figure per account, calculated before anyone asks for it.
The agents work on top of this model: that is why they answer with your data, not with generalities.
03 · The agents
Automated order processing
Quotes put together and sent
Full customer onboarding
Transport incidents
Changes in buying patterns
Waves of complaints
The full customer picture
Weekly report with its deviations
Customers to call, each with its reason
Each agent works inside the limits your company sets: what it may write, what waits for a signature and who it alerts. Every action is logged, with its time and its owner.
04 · Asking
Because the model of your company is there, every question gets a complete answer on the spot, with the sources in plain view.
05 · The process
We analyse your company, define the first phase of automation and grow from there to whatever scope you decide.
You lay out which systems you have and which problem weighs most; we propose where to start.
We examine the systems and talk to the team, and the first phase is chosen together.
We build the model for the chosen phase: the data map, the process map and the precomputed data your agents need.
We put the agents to work on your real data. Your team sees them working from the first week.
The process is a cycle.
Each cycle builds on everything already made: the work accumulates, as far as your company decides.
Everything is rehearsed first in simulation over your history. An agent only has the operations declared in its model: the ones with a padlock in the full map need a signature.
Read-only access to the agreed sources, processing inside the European Union and permissions declared agent by agent. The data processing agreement, signed before any information is received.
It is an asset: it stays your property and is handed over documented. The AI model is swapped for a better one without losing the work.
Small businesses to multinationals already work with the platform: retail chains, robotic warehouses, B2B sales and ERP systems.
The doubts that come up before the first meeting, answered briefly.
Agents work read-only and processing never leaves the European Union. The rest of the guarantees, together with your data processing agreement, are under “About Hellomatik”.
Checking that is the first job. The understanding phase says what is there and what is missing, before committing to anything.
The first automation is left running and your team sees the agents working from the first week.
A report describes. These agents execute and raise flags, with approvals, limits and a record of every action.
