Four practices, one operating model.
AI Governance & Policy
+
AI Governance & Policy
Build the policy spine that lets AI move forward responsibly. We translate emerging regulation and assurance standards into frameworks your risk, legal, and engineering teams can actually operate against.
- AI governance readiness & compliance assessments
- AI policy & standards drafting
- Risk taxonomies & model assurance
- Responsible-AI operating model
- Regulatory readiness: Quebec AI directive & Law 25, TBS Directive on Automated Decision-Making, FIPPA & Ontario Bill 194, PIPEDA, ISO 42001, NIST AI RMF, EU AI Act
RAG Platform Architecture
+
RAG Platform Architecture
Design retrieval-augmented platforms that hold up under real enterprise data: messy, multilingual, sensitive, and regulated. Reference patterns your engineers can build, your auditors can read, and your users can trust.
- Retrieval, indexing & embedding strategy
- Grounding, evaluation & guardrails
- Data residency, access & PII handling
- Reference architectures on Azure & AWS
- Independent reviews of platforms in design or in flight
Enterprise & Solution Architecture
+
Enterprise & Solution Architecture
Design the technical and information backbone your strategy quietly depends on. Target-state architecture, integration patterns, and the vendor stack underneath, chosen deliberately and owned by name.
- Target-state architecture & reference models
- Data, MLOps, and LLM platform design
- Application & integration strategy
- Security, observability, FinOps
- Architecture governance: review boards, decision rights, standards
AI Program Management
+
AI Program Management
Stand up the program scaffolding that keeps multi-team AI work coherent: intake, sequencing, dependencies, and the executive rhythm that turns a portfolio of pilots into delivered value. Delivered as a fractional advisory seat, deliberately capped.
- AI portfolio & intake design
- Program governance & steering rhythm
- Vendor and partner orchestration
- Outcome tracking & value realization