ScotiTech Workspace
Private AI execution environment 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)
Novel architecture enabling AI in air-gapped environments
ScotiTech Workspace solves a fundamental constraint: teams want AI assistance but cannot allow operational data to leave infrastructure boundaries. The platform combines containerized LLM inference with a stateful workflow engine and cryptographic audit trails—enabling AI adoption in environments where external processing is technically impossible or legally prohibited. This is not a cloud API wrapper; it's a complete governance framework for responsible AI deployment.
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 ScotiTech Workspace 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 ScotiTech Workspace is Different
| Comparison | ScotiTech Workspace | 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 ScotiTech Workspace Excels
Healthcare
Challenge
Clinical teams want AI assistance but patient data cannot leave hospital infrastructure. HIPAA prohibits cloud AI.
Solution
ScotiTech Workspace 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