AXOS - Private AI Workspace
AXOS is a ScotiTech product led and developed by me for regulated organisations.
2
Regulated Organisations
Finance and legal
100K+
AI Interactions
Processed with complete data sovereignty
100%
On-Premise Processing
Zero external data transmission
100%
Platform Availability
Uptime over 8 months of production use
Technical Differentiation (USP)
Governance-first architecture for deployable AI in regulated environments
AXOS solves a fundamental constraint: organisations want AI assistance, but adoption stalls when governance, documentation, and accountability are treated as separate workstreams. Led and developed by me through ScotiTech, the platform combines local inference, workflow controls, audit trails, and human oversight so governance is embedded directly into the product architecture rather than added later as policy paperwork.
The Problem
AI adoption blocked by compliance requirements
- ✗Cloud AI requires sending confidential data to external servers
- ✗Training data concerns with commercial AI providers
- ✗Regulatory requirements mandate data residency
- ✗No audit trail for AI-assisted decisions
The Solution
Complete AI platform within infrastructure boundaries
- ✓100% on-premise processing—data never leaves
- ✓Cryptographic audit trails for compliance
- ✓Human oversight workflows built-in
- ✓Version-controlled prompt management
Technical Architecture
How AXOS Works
Local Inference Engine
Containerized LLM execution running entirely within organisational infrastructure. Supports multiple model sizes based on hardware constraints.
Workflow Engine
Stateful workflow orchestration for multi-step AI interactions. Human oversight integration at configurable checkpoints.
Prompt Management
Git-like system for prompt libraries with branching, peer review, and automated testing before production deployment.
Cryptographic Audit
Tamper-proof logging with Merkle tree verification. Complete interaction history for compliance and forensics.
Responsible AI Governance
Built-in Controls for Safe AI Deployment
Human Oversight Integration
Configurable approval workflows ensure human review at critical decision points. AI suggests, humans decide.
Prompt Version Control
All prompt changes tracked with full history. Peer review required before production deployment. Instant rollback capability.
Cryptographic Audit Trail
Every AI interaction logged with tamper-proof verification. Exportable for compliance audits and forensic investigation.
Access Control & RBAC
Granular permissions control who can use AI features, review outputs, and modify system behaviour.
Competitive Differentiation
Why AXOS is Different
| Comparison | AXOS | Alternative |
|---|---|---|
| vs. Cloud AI (ChatGPT, Claude API) | All processing on-premise. Data never leaves infrastructure boundary. | Data transmitted to external servers. Compliance concerns. Training risks. |
| vs. Enterprise AI Platforms | Self-hosted. Cryptographic audit trails. Full organisational control. | Vendor-dependent. Limited audit capabilities. Data residency questions. |
| vs. Custom LLM Deployments | Turnkey platform with workflow engine, prompt management, and governance built-in. | Requires significant ML engineering. Lacks enterprise features. |
| vs. No AI Adoption | Enables AI benefits while maintaining compliance posture. | Teams lose productivity. Competitors gain AI advantages. |
Use Cases
Where AXOS Excels
Healthcare
Challenge
Clinical teams want AI assistance but patient data cannot leave hospital infrastructure. HIPAA prohibits cloud AI.
Solution
AXOS runs AI locally, enabling clinical documentation assistance while maintaining complete data sovereignty.
Legal Services
Challenge
Lawyers need AI for contract review and research but client confidentiality is non-negotiable.
Solution
On-premise AI enables document analysis without exposing client materials to external systems.
Financial Services
Challenge
Regulatory requirements mandate data residency. External AI processing creates compliance risks.
Solution
Local execution with cryptographic audit trails satisfies regulatory requirements while enabling AI adoption.
Technology Stack