AI-native systems. Human expertise.Business Agents
A business agent takes one recurring process, runs it inside your rules and on your data, and leaves a record of every run.
Overview / September
Revenue
€4.28m+5.2% vs AugustOperating margin
18.6%+2.1 percentage pointsReceivables
€620k€84k overdueActual Plan
Revenue is ahead of plan. Receivables are growing too: €84k is past its due date.
Read the September ledger, checked against August.
Infrastructure,
not another tool.
A subscription tool runs on the vendor’s servers and stays the vendor’s. A business agent is yours. It runs in your infrastructure and reads your data warehouse, and every agent you add shares that base, so the second one starts from what the first one needed.
AI needs
a data warehouse.
A company’s data lives in its ERP, its accounting, its CRM and a hundred spreadsheets, each with its own version of the truth. An agent cannot run a process on data it cannot reach, and it cannot be trusted on data that contradicts itself. A data warehouse puts the company’s data in one place inside your infrastructure, defined once and kept current. If the company does not have one, we build it before any agent, and it pays off on its own: every report, every audit and every question draws from it.
An agent inside your business reads your data and acts in your name, so a compliance owner asks four things before anything else: where it runs, which models it uses, what it is made of and what record it leaves. We build the answers in rather than checking them afterwards.
The agent runs in your infrastructure, fully local where possible. The data it reads stays where you already secure it. A model sees only what the rules of that process allow, and when a model runs outside your infrastructure, the record shows what it was sent.
Nothing leaves your infrastructure.
The agent works across models: a general model, a specialist or a private one in your infrastructure, whichever fits the process. It changes when a better one comes along. The application, the rules and the records stay where they are.
Private model selected. The application does not change.
Now that AI reads code for weaknesses, what software is made of has become a governance question. We write business agents in memory-safe compiled languages and deliver each as one program with its source, which you can read, build, run and keep. The only safe software is the software you control.
Each run records what the agent read, which rule applied, which model answered and what went out. When a data protection officer or an auditor asks what the agent did with the company’s data, the answer is already written down.
Financial reporting6 October, 06:00
Every run, written down as it happens.