Governed AI infrastructure

Turn your company's repetitive processes into AI-run operations, without exposing sensitive information or wasting tokens.

BiVelio runs your processes end to end with agents that follow your policies, protects data before every model interaction and optimizes what every call costs. Use each layer on its own, or run the whole operation with Studio.

Policies at every step · Human review · Full traceability

Claude (Anthropic)ChatGPT (OpenAI)Gemini (Google)ChromeMicrosoft EdgeBrave
workflow · purchase-requestDone
A purchase request comes in PR-2026-0418
Checked against budget, supplier and ERP
Department budgetAvailableOK
SupplierApproved vendorOK
Order in the ERPPO-7731OK
Amount€8,400 · threshold €5,000to approve
The purchasing policy is applied3 in order
Human approval and case1 to approveCase recorded

Every step is checked against its system and its rule; what doesn't add up stops before a person.

Works with your tools
Google WorkspaceMicrosoft 365SlackSalesforceHubSpotNotionStripeShopifyGitHubJiraLinearTrelloAirtableCalendlyZapiern8nMakeTwilioSnowflakeDatabricksOdooHolded

Automating a company's processes with AI is still needlessly hard.

They live scattered

A process crosses emails, spreadsheets and systems that don't talk to each other: nobody sees it whole.

They contain what should not leave

Personal data, credentials and confidential content can end up at external AI providers.

Running them with AI costs too much

Redundant context, avoidable calls and provider discounts nobody asks for inflate the bill.

One architecture, three layers

These are not disconnected utilities: they are the layers needed to turn business information into governed AI operations.

EmailsTeamsSystems
Processes · Policies · Human gates
Governed, traceable operations
Your current systemsSalesforceSnowflakeHubSpotOdooHoldedZapiern8n
Studio
Cases · Workflows · Approvals · Agents
Privacy

Protects every model interaction: sensitive information never leaves uncontrolled.

Savings

Optimizes every model interaction: each call at the lowest cost that still meets quality.

One complete operation, end to end

  1. 1A request comes in.
  2. 2The process checks it against its systems and applies its rules.
  3. 3Privacy removes or pseudonymizes sensitive information.Privacy
  4. 4Savings optimizes the calls that are actually needed.Savings
  5. 5A person reviews only the exceptions.
  6. 6Studio updates the case file and runs the next step.Studio

What this looks like in a real flow:

See the internal operations case

Once the process is clear, BiVelio runs it.

Studio connects processes, cases, policies, approvals and agents in a single governed environment. Repeatable tasks run automatically; critical decisions stay under human control.

Brain, Workers, Velio, Agents, Workflows and Autonomy Console are internal capabilities of Studio — not six separate products.

Deployment and security

Data is hosted in the EU, with GDPR and Andorran (LQPD/APDA) compliance built in from the design.

The Privacy gateway is self-hosted on your own infrastructure; the rest of the platform runs as SaaS with data in the EU.

You decide which model serves each process, and data is protected before every interaction with an external model.

Agents run the repeatable; people approve the critical decisions, and every approval is recorded.

Every governed action leaves an auditable trail: who, what, when and under which policy.

Retention and deletion follow a defined policy — one of the platform's verifiable controls.

Each company's data is isolated by design; cross-company access requires explicit authorization and is recorded (DPA §11).

See the verifiable controls
Installation points

Pick where to start.

Studio runs in your browser; Savings and Privacy also install as packages in your own stack.

The full platform, in your browser. Nothing to install.

Open Studio

app.bivelio.com

Licensed SDK for Node.js: without a license it runs nothing. The same package ships savings-mode, the free skill that stretches your subscription caps without touching your traffic.

npm install @bivelio/savings-layer

Self-hosted gateway for your infrastructure; free extension for your browser.

pip install bivelio-privacy-gateway
BiVelio Research

The thinking behind governed autonomy.

How we think about the Brain, the Workers, governed agents and the Autonomy Rate — articles from BiVelio Research.

Agents

Why your RAG fails and the graph recovers double

An agent without context is just a model. Classic vector retrieval treats knowledge as a bag of independent chunks — which is why it fails on the questions that matter most to a company. We walk through the real problems RAG developers hit (with data), why graph structure wins where vectors fall short, how the landscape stacks up (Pinecone, LangChain, LlamaIndex, Neo4j, Microsoft GraphRAG), and how we plan to be the best at the context that actually counts: a company's operation.

BiVelio ResearchJun 27, 2026 8′
Systems

40% of agentic AI dies without an Autonomy Rate

The Autonomy Rate is the share of a company's operational work that runs autonomously and within policy: the single KPI of governed autonomy. Unlike automation metrics, it only counts work bounded by permissions, authority thresholds, approvals, audit and rollback. We explain what it measures, how to define it, how it differs from automation coverage or DORA metrics, and how BiVelio turns it into the headline metric of its Autonomy Console.

BiVelio ResearchJul 2, 2026 12′
Agents

95% of AI pilots fail: it's not the model

AI agents rarely fail because the model is weak: they fail because they lack operational context, governance and human control points in the real operation. We walk through the five failure modes (context, coordination, governance, verification and value), why they are structural and not a prompt problem, and why the durable solution is an operating model —living memory, governed agents and humans in the loop— and not a smarter prompt.

BiVelio ResearchJul 2, 2026 12′
Foundations

AI Workforce OS: not a suite, but an operating model

An AI Workforce OS is an operating model in which a governed digital workforce turns a company's knowledge into autonomous operations — not an all-in-one software package that replaces your tools. We explain the category, the problem it solves and how BiVelio delivers it as a governed autonomous operations layer built on five pillars: Brain, Workers, Agents + Velio, a human-in-the-loop Trust Layer and an Autonomy Rate measured in a single console.

BiVelio ResearchJul 2, 2026 10′
Foundations

RPA automates tasks. A GPOS governs operations

A Governed Process Operating System (GPOS) is an operating model, not a software suite: it turns a company's knowledge into governed autonomous operations, where AI executes the repeatable and people decide the critical. This article defines the category, contrasts it with RPA, BPM, AI agents and iPaaS, and explains how BiVelio implements it as a governed autonomous operations layer built on a Brain, Workers, Velio and agents, a human-in-the-loop trust layer, and an Autonomy Console.

BiVelio ResearchJul 2, 2026 10′
Foundations

Adding a copilot is not an operating model

A human + agent operating model is an organizational design in which people and governed AI agents share the same work, the same decision rights and the same audit trail — and where autonomy is set deliberately per process, not left for tools to decide on their own. It is not a question of which software to buy, but of how processes, responsibilities and control are redesigned when agents join the workforce. This article defines that model, compares it with the classic company and with automation, and explains how BiVelio materializes it: Brain, Workers, Agents + Velio, Trust Layer and Autonomy Console.

BiVelio ResearchJul 2, 2026 10′
Before you start

BiVelio is an AI-governed operating layer: it turns your company's knowledge into autonomous operations under human control. Studio is the full platform (processes, cases, agents and workflows in one place). Privacy (BiVelio Shield) keeps sensitive data out of AI models. Savings cuts your LLM bill by picking the cheapest execution that meets your quality. Privacy and Savings can be used on their own or integrated inside Studio.

Ready to see it in action?

By invitation · Two-week pilot