USE CASES
Where governed AI execution creates
irreplaceable enterprise value.
SurfaceOS is purpose-built for enterprise workflows where predictability, auditability, sovereignty, and reproducibility are first-order requirements—where the cost of AI failure is highest.
Financial Services
Regulated financial workflows
The challenge. Regulated financial workflows require deterministic reasoning, complete audit trails, and reproducible outputs. LLM-based systems cannot reliably produce the same output twice for the same input. They cannot produce a cryptographically verifiable audit trail.
- Compliance analysis and regulatory reporting with replayable execution logs
- Deterministic credit and risk assessment workflows with bounded outcome constraints
- KYC and AML decision support with full provenance and audit trail
- Document-intensive operations: contract review, disclosure analysis, term extraction
Value proposition
Estimated £12M per year in operational savings versus GPU cloud AI for a mid-size Tier 1 bank, driven by CPU-first economics and elimination of human babysitting overhead in long-running regulated workflows.
Healthcare
Clinical and patient workflows
The challenge. Healthcare AI must meet HIPAA, GDPR, and equivalent frameworks. It must be deployable on-premises within clinical data environments. It must produce reproducible outputs that can be reviewed, audited, and defended.
- Clinical decision support with bounded reasoning and formal outcome constraints
- Patient record workflows with deterministic state management and audit logging
- Medication and treatment workflow execution with policy-governed constraints
- On-premises deployment meeting data residency requirements with no external API calls
Value proposition
On-premises AI with formal execution guarantees—deployable within existing clinical infrastructure on commodity hardware, with no data leaving the network boundary.
Government & Defence
Sovereign and air-gapped AI
The challenge. Sovereign AI requirements preclude dependence on US or foreign hyperscaler infrastructure. Air-gapped deployments cannot rely on external model APIs. Deterministic, auditable execution is a compliance requirement.
- Sovereign AI deployments with no external cloud dependency
- Air-gapped execution environments for intelligence and defence workflows
- Regulated government analytics and decision support
- Policy-governed AI execution for public-sector compliance environments
Value proposition
The only enterprise AI execution layer capable of meeting sovereign, air-gapped, and formal compliance requirements simultaneously on commodity infrastructure.
Legal
Document and decision workflows
The challenge. Legal workflows are document-intensive, multi-step, and require reproducible, auditable outputs. A legal team cannot use an AI system that produces different analysis of the same document in different sessions.
- Contract analysis with deterministic, replayable execution
- Discovery and document review workflows with bounded AI reasoning
- Regulatory compliance workflows with formal audit trails
- Due diligence operations with multi-Geode parallel document processing
Value proposition
Replayable, auditable AI execution for high-stakes document and decision workflows.
Industrial Operations
Long-running and edge workflows
The challenge. Industrial AI must operate in edge environments on constrained hardware. It must produce consistent outputs. It must integrate with existing operational tools without replacing them.
- Long-running process optimisation workflows with bounded AI reasoning
- Tool-mediated execution for industrial control and monitoring systems
- Predictive maintenance workflows with deterministic state tracking
- Edge deployment on commodity hardware with no GPU dependency
Value proposition
Long-running, tool-mediated workflows with bounded AI reasoning and edge deployability.
Enterprise Analytics
Policy-governed analytics
The challenge. Analytics workflows that run for minutes or hours, touch multiple data systems, and produce reports that must be reproducible under audit cannot be reliably executed by probabilistic prompt chains.
- Policy-governed decomposition of complex analytical workflows
- Deterministic multi-step data reasoning with traceable decision trails
- Long-horizon analytical workflows immune to context window degradation
- Replayable analytics execution for audit and regulatory review
Value proposition
Policy-governed decomposition and traceable decision trails for enterprise analytics.