Local data processing
Data can stay inside your infrastructure. This simplifies access control, RODO, and work with sensitive documents.
ZenFlow AIA Soul Vision productZenFlow AI connects workflow agents with documents, email, payments, registrations, and your systems. Locally, hybrid, or in the cloud.

We first map repetitive work and bottlenecks. Then we design an agent that structures data, assists decisions, and keeps human control where it matters.
Data can stay inside your infrastructure. This simplifies access control, RODO, and work with sensitive documents.
We connect local systems with cloud services where useful: OCR, communication, APIs, forms, archives, and reporting.
We choose the model for the process: a local LLM for sensitive data or public models where quality, speed, and cost matter most.
Automation should remove specific manual hours, errors, and delays. We measure the process, not the promise.
We identify repetitive work, data sources, exceptions, and decision points.
We define workflow, validation rules, integrations, and human approval scope.
We connect the agent to systems, email, forms, documents, and databases.
We measure outcomes, refine exceptions, and extend automation after launch.
Pharmacy / Kamsoft / ELIXIRGenerating transfers from Kamsoft, verifying payments, and producing ELIXIR files.
Classifying document photos, extracting key information, creating descriptions, and building a searchable archive.
KwatermistrzAutomated email processing, contracts, OCR, and form data flowing into a central NoCoDB database.
ZenFlow AI can connect local systems, cloud services, local LLMs, public models, and Soul Vision modules. Each agent is designed for a specific process.
We integrate local and cloud workflows, including Kamsoft, Google OCR, NoCoDB, email, forms, CSV files, ELIXIR generation, and local or public LLMs.
Documents, invoices, contracts, scans, transfers, registrations, email replies, reports, and tasks with repeatable decision patterns.
Yes. We prepare a demo on sample data or a simplified scenario before building the final production agent.
No. Soul Vision can handle configuration, integration, and maintenance. Your team uses organized data, documents, and decisions.
Yes. For sensitive data we can use local models and local processing, while connecting public services only where they make practical sense.
Exceptions go to human validation. The agent structures data and prepares the decision, while final approval stays with the team.
Usually a short call and sample data are enough. After that we identify automations with the best ratio of impact to complexity.
Most implementations combine a project model for launch and a subscription model for maintenance, monitoring, and further development.
Describe the process you want to automate. We will reply with the first review step and validation path.
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