Tailored to your process. Engineered to last.
Every customisation rests on a modular, documented and tested architecture, designed to grow with volumes without losing control and security.
Five layers, separate responsibilities
Phone, website chat, email; WhatsApp and Telegram on project. Every channel enters from the same point and feeds the same customer history.
Specialised modules for reception, mail, documents, workflows and analysis. They all follow the same pattern: receive an event, interpret, propose an action, submit it to the rules, execute and record.
Authentication, granular roles and permissions, human validation queues, agent instructions versioned and editable without releasing new code.
Connectors with explicit interfaces (APIs, Application Programming Interfaces) towards the customer's systems, that is ERP (Enterprise Resource Planning), CRM (Customer Relationship Management) and CMS (Content Management System), and a single gateway towards the AI models, in the cloud or installed locally.
A hybrid organisation: for every kind of data, the technology best suited to the context. A relational database for data and case statuses; vector search for company knowledge; NoSQL databases for documents, events and unstructured content; blockchain to certify immutably what must carry evidential value, such as the audit log and signed documents; persistent queues so that no event is ever lost.
The principle that makes autonomy safe: decision is separated from action
The AI model proposes, with a confidence level. An explicit rule decides whether the action is executed, prepared for a person or only suggested. This is how autonomy grows step by step, agent by agent, action by action, based on the metrics collected.
The engineering rules we do not negotiate
| Principle | What it means for you |
|---|---|
| Modular service architecture | A component is updated or replaced without stopping the others |
| Documented API contracts | Every service exposes described and verifiable interfaces; integrating is predictable |
| Semantic versioning and architecture decision records | You always know what changes with each release and why |
| Automated tests and agent evaluations on real cases | Every change to code, instructions or models is verified before going into production |
| Cryptographically chained audit log | No operation can be altered after the fact without it showing |
| Least privilege | People and services see only what their role requires |
| Secrets outside the code, encrypted traffic, encrypted and verified backups | Operational security from day one |
| Cost and performance observability | Every call to the models is tracked with times and costs |
Scattered scripts and prompts, no tests, nobody knows what changes with each edit; an update breaks an integration and you find out from customers.
Separate components, tests and evaluations before every release, tracked versions, tamper-evident log.
Where it runs
Managed cloud in Europe
fast start, updates included.
Customer's private cloud
same platform, in your tenant.
On-premise
everything in your data centre, AI models included, for the most confidential contexts.
The platform ships in containers: the same package runs in development, staging and production, in any environment.
No lock-in
The gateway to the AI models makes providers interchangeable: one model today, another tomorrow, or one installed in-house, without rewriting the agents. Instructions and evaluation cases are portable.
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