Services
AI advice built for the way real teams operate
Clear decisions, reusable patterns, and hands-on prototypes — designed to fit your org’s constraints.
1) AI Operating Model & Governance
Lightweight rules that protect the business without freezing progress.
- AI usage tiers (low / medium / high risk)
- Data handling rules and red lines
- Approval & review paths (ARB / security / privacy)
- Metrics that matter (time saved, cost avoided, quality improved)
2) Architecture & Integration Patterns
Designs you can hand to engineering — with clarity on tradeoffs.
- Azure reference patterns (APIM, Service Bus, Logic Apps, Functions)
- Reliability: retries, DLQs, idempotency, backpressure
- Security & identity: service principals, managed identities, least privilege
- Observability: logs, traces, cost tags, SLOs
3) Workflow Automation
Turn “we do this by spreadsheet” into durable automation.
- Process mapping: where AI helps vs where it hurts
- Automation with Power Automate / Logic Apps / n8n
- Human-in-the-loop patterns (approvals, exception handling)
- Operational playbooks and ownership models
4) Enablement & Communication
Help leadership and teams align on what “good” looks like.
- Exec briefs, decision memos, and roadmaps
- Prompt packs for common roles
- Training plans & office hours models
- Adoption guardrails that scale
Deliverables you can expect
Clean diagrams, templates, and actionable next steps — not a deck that dies in email.
Engagement formats
Quick advisory
Short sessions to unblock decisions or validate a plan.
Workshop
Co-create an operating model, reference architecture, or roadmap.
Prototype sprint
Build a working proof-of-value with the right guardrails.