USE CASE

Cross-Company AI Collaboration

Let AI agents work with partners — without losing control. Collaborate securely across boundaries.

The Cross-Boundary AI Problem

Modern enterprises collaborate with suppliers, partners, and subsidiaries daily. But AI systems are isolated within company walls — unable to safely work across organizational boundaries.

Organizations need governed AI collaboration that maintains security, auditability, and control.

Why AI Can't Cross Company Boundaries Today

Security concerns and lack of governance frameworks keep AI isolated

No Cross-Boundary AI

Current AI systems can't safely collaborate across company boundaries — everything is isolated

Manual Data Sharing

Teams still email reports, share files manually, and coordinate on calls — no AI assistance

Security Concerns Block Adoption

Fear of data leaks and compliance violations prevents AI from touching partner workflows

No Audit Trail

When AI does touch shared data, there's no visibility into what was accessed or shared

THE VAISYS APPROACH

Governed AI Across Boundaries

Enable secure AI collaboration with explicit permissions, complete isolation, and full auditability

01

Isolated Organizational Domains

Model each company, subsidiary, or partner as a separate domain with its own users, roles, data, and agents — complete isolation by default.

Namespace-based isolation for each organization

Separate RBAC hierarchies per domain

No cross-domain data leakage by default

02

Scoped Cross-Domain Interfaces

Define explicit, limited interfaces between domains. Control precisely what data and agents can be shared, and with whom.

Whitelist-based cross-domain permissions

Controlled agent-to-agent communication protocols

Granular data sharing policies

03

Governed Collaboration Workflows

AI agents can execute pre-approved workflows that span companies — like supplier status checks, joint project updates, or compliance reporting.

Pre-defined cross-company workflow templates

Approval gates for sensitive cross-boundary actions

Automatic escalation when boundaries are approached

04

Complete Observability

Every cross-domain interaction is logged. Security teams see exactly what AI accessed, what was shared, and with whom.

Comprehensive audit logs for all cross-domain activity

Real-time monitoring and alerts

Export to SIEM for centralized security oversight

COLLABORATION IN ACTION

Real-World Collaboration Scenarios

See how enterprises enable AI to work across company boundaries — safely

Supplier & Procurement Collaboration

Automate supplier communications while maintaining strict data boundaries

How It Works

1

Your Procurement AI Worker requests order status from supplier's AI

2

Supplier AI responds with approved status data only — no pricing, no customer lists

3

Your system automatically updates internal tracking and flags delays

4

All interactions logged for compliance and audit

Business Benefit

Real-time supplier visibility without manual emails or data exports

Joint Venture Project Management

Enable AI-assisted collaboration on shared projects between partner companies

How It Works

1

Project status AI from Company A queries milestones from Company B's project AI

2

Company B's AI shares project status within defined scope (no financials, no IP)

3

Company A's AI aggregates joint venture status report automatically

4

Both companies see full audit trail of what was accessed

Business Benefit

Automated project coordination with complete governance and auditability

Multi-Subsidiary Reporting

Consolidate AI-assisted reporting across subsidiaries while maintaining operational independence

How It Works

1

Parent company's Reporting AI requests metrics from subsidiary AIs

2

Each subsidiary AI provides approved KPIs only — no operational details

3

Parent AI assembles consolidated view for executive dashboard

4

Subsidiaries retain data sovereignty and audit visibility

Business Benefit

Streamlined multi-entity reporting without centralizing all data

Security & Governance Built In

Enterprise-grade controls ensure collaboration never compromises security

Namespace Isolation

Each organization operates in its own namespace — no accidental data leakage

Explicit Whitelisting

Only pre-approved cross-domain interactions are permitted — deny by default

Full Audit Trails

Every cross-boundary access logged with context — who, what, when, why

Real-Time Monitoring

Security teams see cross-domain activity as it happens with instant alerts

IMPLEMENTATION ROADMAP

Post-Release Deployment Path

Our planned deployment timeline following initial platform release

Currently in early-access phase — we're partnering with select enterprise pairs (customer-supplier, parent-subsidiary) to co-design cross-boundary AI workflows that meet rigorous security and governance requirements.

Week 1-2

Model Organizational Boundaries

Define each company/subsidiary as a separate domain. Map users, roles, and data for each organization.

Multi-domain structure defined
Boundary policies established
Initial RBAC per domain
Week 3-4

Define Cross-Domain Interfaces

Specify what can be shared across boundaries — data types, agent interactions, approval requirements.

Cross-domain permissions configured
Shared workflow templates defined
Approval gates established
Week 5-6

Pilot One Collaboration Workflow

Deploy a single cross-company workflow (e.g., supplier status checks). Validate security and audit trails.

First cross-domain workflow live
Security validated
Audit trails verified
Week 7+

Expand to Additional Partners & Workflows

Add more partner organizations and collaboration scenarios. Continuously monitor and refine policies.

Multi-partner collaboration
Multiple workflow types
Proven governance model

Join the Early-Access Program

We're seeking enterprise partners to co-design cross-company AI collaboration. Help pioneer governed AI workflows that span organizational boundaries.