Capabilities
Enterprise AI, architecture and platform consulting capabilities
Architecture depth.
Engineering follow-through.
Independent technical judgment and hands-on delivery across enterprise AI, platforms, and the systems that matter to your organization.
Move beyond the demo.
AI systems & AI governance
Design retrieval, agent workflows, and evaluation around the information, permissions, and decisions your organization can actually trust. Work covers RAG architecture, permission-aware retrieval, evaluation datasets, and human approval gates.
AI systems & AI governance: What an engagement can include
- AI use-case and readiness assessment
- RAG architecture, retrieval boundaries, and citation controls
- Evaluation datasets, failure tests, and review criteria
- Tool authorization, human approvals, and audit trails
Turn standards into decisions.
Enterprise architecture
Translate a complex technology estate into clear target architectures, reusable patterns, and decisions teams can implement. Outputs include ADRs, reference patterns, and rules-based recommendations.
Enterprise architecture: What an engagement can include
- Current-state assessment and capability mapping
- Target architecture and transition roadmap
- Architecture decision records and reference patterns
- Rules-based recommendations and architecture automation
Own the telemetry path.
Observability & reliability
Make collection, data handling, and routing deliberate architectural choices—not a collection of vendor-specific integrations. Covers OpenTelemetry schemas, reusable collection paths, and failure-mode assessment.
Observability & reliability: What an engagement can include
- Telemetry architecture and routing design
- OpenTelemetry schemas and onboarding contracts
- Collection, buffering, retention, and failure-mode assessment
- Operational diagnostics and data-handling controls
Build foundations teams can use.
Cloud & platform engineering
Connect cloud architecture, delivery automation, and developer workflows so the platform is useful from the first service onward. Covers cloud and Kubernetes architecture, infrastructure-as-code, and operational readiness.
Cloud & platform engineering: What an engagement can include
- Cloud and Kubernetes architecture
- Infrastructure-as-code and deployment workflows
- Developer onboarding and platform interfaces
- Operational readiness and handover documentation
Connect the difficult parts.
Software & integration
Build services, interfaces, and event-driven workflows with explicit data contracts, security boundaries, and operational ownership. Covers API and event-driven design, React and TypeScript engineering, and document workflows.
Software & integration: What an engagement can include
- API and event-driven system design
- React and TypeScript application engineering
- Document-processing and verification workflows
- Legacy interface modernization and accessible delivery
Make the next decision defensible.
Technical advisory & leadership
Bring independent technical judgment to a platform choice, modernization program, or delivery workstream that needs senior attention. Covers architecture reviews, vendor evaluation criteria, and delivery roadmaps.
Technical advisory & leadership: What an engagement can include
- Architecture reviews and options analysis
- Vendor evaluation and proof-of-concept criteria
- Technical workstream leadership and design reviews
- Risk register, decision ownership, and delivery roadmap
The right scope,
not a fixed playbook.
An assessment, a technical workstream, or senior capacity inside your team.
Outputs are agreed for the engagement. The examples above describe possible scope, not bundled products or guarantees.
How we work togetherStart with a conversation.
A free 30-minute introduction to discuss your AI governance challenge, constraints, and whether we can help. No project brief required.
Contact us for current availability. Scope, timing, and fees are agreed before paid work begins.