Roadmap
From pilot to production. A structured path to operating AI workflows in customer-controlled infrastructure.
Discovery & Readiness
Before the first node is deployed, we assess the existing infrastructure and identify the highest-value use cases for local AI workflows. This phase creates the basis for technical and governance scoping before any rollout decision.
- Infrastructure & Network Audit
- Hardware Compatibility Assessment
- Use Case Prioritization
- Risk & Compliance Scoping
Proof of Value (PoV)
A 60-day bounded pilot on selected customer hardware, optionally air-gapped. This phase validates the architecture in the specific environment and establishes baseline performance metrics.
- Local Node Deployment
- Initial Knowledge Base Indexing
- Model Fine-Tuning & Adaptation
- Productivity & ROI Validation
Production Scale
Extending the validated scope toward production operation. Multi-node deployment, deeper workflow integration, and regular governance reviews carry the pilot results into everyday use.
- Multi-Node Cluster Scaling
- Deep Workflow Integration
- Governance Review Cadence
- Continuous Compliance Monitoring
Planned Directions
Candidate capabilities for later stages, subject to customer validation and deployment scope. Nothing here is promised for the pilot.
- Assisted Resource Optimization
- Maintenance Diagnostics Support
- Cross-Departmental Workflow Support
- Efficient Hardware Utilization