We automate document workflows that security teams block from shared AI.
LuxoAI runs inside the customer environment, keeps humans in the loop, and makes sensitive workflows approvable.
The product is not model hosting in a VPC. The product is the fastest path to an approved workflow.
Enterprises do not just need private infrastructure. They need a workflow that security, compliance, and operations can actually approve and use.
In-environment deployment
The agent runs inside your VPC, on-premises environment, or air-gapped infrastructure — not on shared vendor servers.
Human review for exceptions
Routine cases are handled automatically. Exceptions are routed to named reviewers. Nothing exceptional is resolved without a human decision.
Audit trail for every action
Every document read, field extracted, and routing decision is logged immutably — with timestamp, actor, and policy reference.
Launch in weeks, not quarters
One scoped workflow. Four weeks from kickoff to a security-approved production deployment on your actual documents.
Why LuxoAI
Useful enough to replace manual work. Approvable enough for sensitive documents.
Shared AI tools
- Powerful and fast to test
- Documents leave the environment
- Often blocked for sensitive workflows
- Risk managed contractually, not architecturally
Traditional OCR / RPA
- Can be approved by security
- Brittle — breaks on format changes
- Limited document understanding
- Too much manual exception handling
LuxoAI
- Runs inside the customer environment
- No outbound data path
- Human review for exceptions
- Full audit trail
- Useful enough to replace manual work
Microsoft Copilot and ChatGPT Enterprise process data through shared infrastructure by design. A data processing agreement does not change the architecture. For documents that cannot leave the environment, the architecture is the only answer.
Compliance
SOC 2 Type II
In progress
Deployment
Integrates with
The wedge
Start with invoices. Expand across sensitive document workflows.
Invoices are the first workflow because they are frequent, painful, measurable, and easy to deploy into a governed review path. The same architecture then expands into compliance, legal, and other sensitive document workflows.
Today
Invoice operations
- Invoice intake and field extraction
- Policy validation and PO matching
- Approval routing based on risk
- Exception handling with human review
- ERP export with full audit trail
Next
Compliance operations
- Classify incoming regulatory evidence
- Package case files for audit
- Route missing or incomplete items
- Track correspondence under examination
Later
Legal operations
- First-pass triage of privileged documents
- Clause extraction and obligation mapping
- Controlled review routing to counsel
- Privilege preserved architecturally
Why invoices first
Invoices are the right first workflow for a reason.
The wedge is not arbitrary. Invoices have properties that make them ideal for proving the model — and for justifying the deployment to security and procurement.
- High-volume, repetitive workflow with clear manual cost
- Sensitive financial documents that cannot go to shared AI
- Measurable time savings and error reduction
- Easy to deploy into a governed approval path
- Natural entry point into adjacent sensitive workflows
Once the invoice workflow is live, the infrastructure, security approval, and deployment process are already in place. The second workflow — compliance, legal, or otherwise — starts from a much stronger position.
Expansion workflows
Then expand into compliance, legal, and other sensitive document workflows.
Each expansion uses the same in-environment infrastructure, the same audit trail, and the same security posture already approved for invoices. Nothing is re-architected.
Residency-constrained financial documents
Invoices, purchase orders, treasury records, and payment documents extracted and validated against your ERP. Exceptions routed for human review. Every document logged with an immutable audit trail — none leave your environment.
Legally privileged contracts and agreements
First-pass review of contracts for non-standard clauses, obligation dates, and counterparty terms inside your perimeter. Privileged materials never reach external infrastructure. Human counsel reviews flagged items only.
Regulatory correspondence under examination
Regulatory filings, compliance records, and examination evidence classified, routed, and packaged for audit — entirely inside your environment. No regulatory document touches shared cloud infrastructure.
Commercially confidential cedant data
Broker submissions and loss documents extracted into structured data with traceable source references. Cedant data never leaves your infrastructure. Underwriter summaries produced without externalization.
Who we work with
Department heads who need a workflow approved — not an AI strategy debated.
Regulated enterprise teams in financial services, insurance, reinsurance, and legal operations. Typically 500 to 50,000 employees. Operating in Switzerland, Germany, France, Austria, or Benelux. The buyer has operational accountability and a document workflow that shared AI cannot touch.
Finance Operations
Residency-constrained
Invoice and financial document processing with ERP integration and full audit trail — no financial document externalized to shared AI infrastructure.
Legal Operations
Legally privileged
Contract review, clause extraction, and obligation mapping inside your perimeter. Privilege is preserved architecturally, not contractually.
Compliance & Risk
Examination-sensitive
Regulatory correspondence classification, routing, and audit evidence packaging. Examination-ready outputs without outsourcing document processing.
Underwriting Operations
Commercially confidential
Structured extraction from cedant documents and broker submissions. No reinsurance or underwriting data reaches vendor infrastructure.
How it works
Every step runs inside your environment.
There is no point in the workflow where a document crosses your perimeter. The agent ingests, extracts, validates, routes exceptions to humans, and logs every action — all inside your infrastructure.
Source system
SharePoint · SAP · S3 · Custom
LuxoAI agent
Inside your VPC or on-prem
Extraction & validation
Classification · structuring · routing
Human review gate
Flagged items routed to your team
Audit log + output
Immutable · exportable · your systems
Source system
SharePoint · SAP · S3 · Custom
LuxoAI agent
Inside your VPC or on-prem
Extraction & validation
Classification · structuring · routing
Human review gate
Flagged items routed to your team
Audit log + output
Immutable · exportable · your systems
Every step is written to an immutable audit log — document source, action taken, actor, timestamp, output reference. Exportable by your team on request.
The architecture
Perimeter-native by design. Not by configuration.
Most enterprise AI tools are cloud services that accept documents as inputs. Contracts, addenda, and data processing agreements reduce legal exposure — they do not change where the document goes. For documents that cannot leave the environment, the architecture is the only thing that matters.
LuxoAI is not a cloud service your documents are sent to. It is a workflow layer deployed inside your environment. There is no LuxoAI server in the data path. The perimeter-native constraint is structural — it cannot be misconfigured, waived by a policy update, or reversed by a vendor acquisition.
Your cloud account
AWS · GCP · Azure
Agents deploy entirely within your VPC. No data crosses your cloud perimeter. You retain full ownership of the infrastructure, the keys, and the data.
On-premises
Air-gapped available
Full deployment behind your firewall, on your hardware. Air-gapped configurations with no required outbound connections — for the strictest residency requirements.
Private managed
Single-tenant, dedicated
Dedicated single-tenant environment operated on your behalf. Contractual data residency commitments. No shared infrastructure at any layer.
Architectural properties
No outbound data path
There is no data path from your environment to LuxoAI systems during operation. The agent runs inside your perimeter. Documents do not move.
No training on your data
Your documents are never used to train, fine-tune, or improve any model. This is an architectural constraint — not a clause in a data processing agreement.
Immutable audit trail
Every action — document read, field extracted, routing decision — is logged with timestamp, actor, and source reference. Exportable on request.
Tenant isolation by design
Dedicated environments per customer. No shared data paths between accounts. Isolation is structural, not a configuration that can drift.
Your keys, your control
Tenant-specific encryption keys. You can revoke access, export your data, and migrate on your terms. We are not in the critical path of your data.
Deployment process
From kickoff to approved production in three structured phases.
No open-ended pilots. No months of setup. A defined process with a defined outcome — and a deployment your security team has reviewed and signed off on.
Workflow scoping
Week 1–2
We identify one document workflow where shared AI is not approvable. Map the source systems, current process, and success criteria. Your security and IT teams review the deployment architecture. Scope is agreed before any code is written.
Controlled pilot
Week 2–4
The agent deploys inside your environment and processes a representative document sample. Your team reviews outputs and approves calibrations. By the end of week four, you have a working deployment on real documents.
Production and expansion
Week 4+
The pilot becomes production. Audit logs accumulate. We measure what was agreed in Phase 01. The second workflow begins when you are ready — on the same infrastructure, under the same security posture.
Security questionnaire, vendor risk assessment, and data processing agreement available within one business day. We engage directly with your security and compliance teams at Phase 01.
Why now
The blocker has moved from model quality to workflow approval.
- LLMs are now good enough for document understanding at enterprise quality
- Enterprise demand for AI automation is high — budgets exist
- Security and compliance are now the main blockers, not model capability
- The winner will turn blocked AI demand into approved production workflows
Deloitte
21%
of organizations report mature governance frameworks for autonomous AI agents — even as deployment rates accelerate across regulated industries.
Regulated enterprises need a vendor whose governance architecture is the product, not an afterthought.
FINMA
~50%
of Swiss financial institutions use AI in operational functions, but outsourcing compliance and risk management frameworks are still catching up.
The Swiss market is AI-ready. The constraint is deployment model, not appetite.
McKinsey
< 30%
of enterprise AI pilots successfully reach production deployment. Moving from pilot to scaled operational impact remains the defining challenge.
Most enterprises have pilot budgets and stalled evaluations. LuxoAI is the production path.
Design partnerships open — Q2 2026
Tell us which workflow shared AI cannot touch.
We work with a small number of enterprise teams at a time. If your organization has a document workflow that shared AI cannot touch, tell us about it. We will respond within one business day with an honest assessment of fit and a proposed pilot scope.
Security reviews and procurement documentation available on request. We respond within one business day.