Capabilities
Production-grade delivery, end-to-end
SaaS Production
- MVP → v1 Delivery
- Observability
- Reliability Patterns
- CI/CD
Platform Engineering
- Internal Platforms
- Developer Experience
- Cloud Foundations
- Cost Controls
IT Architectural Development
- Architecture Reviews
- Standards & Patterns
- Delivery Governance
- Risk Management
Delivery Enablement
- Playbooks
- Runbooks
- Handover
- Team Uplift
AI Labs
Incubation, data, and automation
Product Incubation
- Concept → Prototype
- Rapid Iteration
- UX Experiments
Data & Insights
- Data Modeling
- Dashboards
- Decision Support
Automation
- Workflows
- Integrations
- Ops Automation
Prototype to Production
- Guardrails
- Latency Budgets
- Cost Caps
AI Research
Assistants, retrieval, evaluation
Applied Assistants
- Task Flows
- Tooling
- Human-in-the-loop
Search & Retrieval
- RAG Systems
- Index Strategy
- Relevance Tuning
Evaluation & Guardrails
- Quality Metrics
- Safety Checks
- Regression Tests
Operational Research
- SLOs
- Failure Modes
- Monitoring
IT Architecture
Governance, ops, handover
Architecture & Governance
- Reference Architectures
- Policies
- Controls
Operational Excellence
- ITSM Alignment
- Service Health
- Continuity
Documentation & Handover
- System Docs
- Runbooks
- Training
Modernization
- Cloud Readiness
- Migration Plans
- Risk Reduction
Ready to build a production-grade AI platform?
Let’s talk about your roadmap, your constraints, and what “done” looks like—then ship it with calm, repeatable execution.