Three stages designed for speed, safety, and measurable outcomes.
A fast, structured assessment to identify what's broken and how to fix it.
Data landscape map — systems, ownership, integrations, pain points
Quality + reliability assessment — where pipelines break, why reporting conflicts
Security + compliance baseline — access, PHI/PII, retention, audit
AI readiness assessment — what's feasible now vs later
Use-case selection workshop — pick 1–2 with measurable ROI
Architecture + governance blueprint (Microsoft-first)
Prioritized backlog (30/60/90 days)
Foundation Sprint plan (scope, timeline, team, cost ranges)
"First use case" definition with success metrics
Organizations that want clarity and speed without committing to a huge program.
Build the minimum production-ready foundation with one working use case.
Data ingestion + transformation pipelines
Canonical models for reporting + AI features
Governance controls — RBAC, data zones, lineage, policy
Monitoring + alerting + cost visibility
1 production use case (analytics or AI)
A foundation you can run—plus a working use case in production.
Operate, improve, and expand your platform continuously.
Reliability — incident response, pipeline health, SLA-based operations
Security + governance — access reviews, audits, policy enforcement
Performance + cost — FinOps + scaling
Continuous delivery of new use cases (monthly roadmap)
A durable system that keeps getting better, not a one-time project.
Book a 2-Week Diagnostic to get clarity on what to fix first.
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