Protect people and their data
Enquiries, invoices and personnel matters can contain names, contact details and other personal information. Tasks, comments and work histories can also reveal information about employees and customers.
ARCHITECTURE & PRIVACY
Your processes contain more than a task: documents, customer data, internal rules and decisions. Who may see and process that information is a question that belongs in the design of c9n from the start.
The goal is a self-hosted team installation. In fully local operation, your process content is processed and stored within your own environment – including AI when you use your own models.
CONFIDENTIAL PROCESSES
When people and agents work together, they connect information across several steps. A request becomes an analysis, a draft, feedback and an approval. That combined context can be especially sensitive.
Enquiries, invoices and personnel matters can contain names, contact details and other personal information. Tasks, comments and work histories can also reveal information about employees and customers.
A workflow shows how you work: which rules apply, who decides and where exceptions arise. Alongside prices, contracts and internal documents, it may contain confidential business knowledge or trade secrets.
Agents need a clear task and the information needed to complete it. A human review can add further details. Each step should therefore receive only the data required for its task.
ARCHITECTURE · LOCAL OPERATION · OPTIONAL CLOUD
c9n is designed as a self-hosted team installation on your own computer or server, with shared data and individual user accounts. In fully local operation, process content, documents, agent tasks and results stay in that environment. Local AI uses models on your own computers or network.
Cloud · supporting services
These services process their own connection, sign-in or contact data.
Your own environment · computer, server or network
Processes, tasks, permissions and human approvals.
Run agents; manage model calls, the queue and capacity.
AI processes content on your computer or on model servers within your own network.
The team connects to the same c9n instance. This does not require a separate data copy for each person.
Website visits and downloads generate technical connection data. Optional provider sign-in requires status, identifiers and, where applicable, encrypted credentials stored in the gateway. Using the contact form sends your enquiry through Cloudflare and Resend. These are separate data flows alongside your locally operated processes.
When you configure and use external model APIs, remote GPU servers, Jira Cloud or email integrations, the required content leaves your local environment. A tunnel or cloud proxy may also be involved in transmission. Fully local processing requires your own models and a workflow without these external processing routes.
Development status: This illustrates the planned architecture. The shared package for c9n, Hermes and GPU management and the new process engine are being built. Available connections and supported steps depend on the tested version.
RESPONSIBILITY IN YOUR OWN ENVIRONMENT
Your own installation gives you control over where processing takes place. Privacy also depends on how you design the process and operate your environment.
This page explains architecture and operating principles. The technical safeguards actually available in a release need to be checked for the specific installation.
Explore processes, agent steps and approvals →