Most AI initiatives stall for reasons that were knowable before the first dollar was spent. The SNARS™ audit measures whether your data foundation can support production AI, and identifies exactly what will fail if it can't.
The failure is almost never the model. It's the fragmented pipelines, conflicting definitions, and undocumented systems underneath it. Those problems are invisible in a demo and fatal in production.
Our full diagnostic. A weighted, evidence-based audit of nine dimensions of data maturity: systems, architecture, semantics, documentation, governance, utilization, compliance, and change velocity. It produces a composite score on a 0 to 4.0 scale and places your organization in one of six tiers. Not opinion. Not a vendor pitch. A diagnosis, with the evidence attached.
No meaningful data foundation. Reporting is manual and untrusted, and ownership is undefined. AI is not viable at this tier, and attempting it wastes budget.
Early structure exists, but manual processes dominate and gaps span every dimension. Foundational work must come before any AI investment.
Real infrastructure is in place, but semantics, governance, or documentation lag behind it. Limited experimentation is possible. Production AI is premature.
A governed, documented foundation with consistent definitions and monitored pipelines. Production AI is viable with the right controls in place.
Strong automation and enforced governance across the stack. Models and pipelines operate at scale with monitoring, lineage, and clear ownership.
Best-practice maturity. The data foundation improves continuously, and each AI initiative compounds the advantage of the last.
Below Tier 3, production AI fails predictably. The audit tells you precisely why, and what it takes to cross the line.
No long-term dependency. No bloated engagements. We diagnose, fix, and leave you with a foundation your team owns.
The full expert-led audit across nine dimensions. You receive your score, tier designation, and a findings report your board can read, with every claim backed by evidence from your own systems.
A sequenced, module-based execution plan to reach AI readiness quickly and resiliently. Transparent, documented, and compliant. Your roadmap whether or not we build it.
A dedicated pod of engineers executes the Flight Plan. A second SNARS™ evaluation at the end proves the improvement. Need it faster? Add pods.
A managed-services company came to us with real-time pipelines, automated CI/CD, and full data lineage. On paper, one of the most technically mature environments we'd assessed. SNARS™ score: 2.92. Tier 2. Not AI-ready.
The audit found that the entire platform, from ingestion and warehousing to orchestration and access management, was built and maintained by a single external contractor. No employment agreement. No IP assignment. No succession path. Every AI initiative the company funded would have been built on a foundation one resignation away from collapse.
That finding never shows up in a technology evaluation. It shows up in ours.
Tell us about your data environment and your AI ambitions.