AI Readiness Assessment
Diagnostic engagement that maps your current state — problem clarity, data quality, process health — and produces a prioritized AI roadmap.
AI READINESS. DELIVERED.
87% of AI projects fail. We fix that before you start.
Foundation-first AI leadership. Problem. Process. Data. AI — in that order.
96% Accuracy — Drug Diversion AI
12,000+ Trafficking Disruptions
$300M+ Contract Recovery
AI doesn't fail randomly.
It fails predictably — and it's fixable.
Why AI projects fail
- No problem defined
Teams deploy AI before understanding what problem they're solving — or whether it's the right problem.
- Data not ready
Broken, ungoverned, or semantically inconsistent data makes models unreliable regardless of sophistication.
- Broken processes
AI embedded in a broken workflow automates the dysfunction. The process must be fixed first.
- Vendor lock-in
Platforms chosen before requirements are defined create dependency without strategic value.
The 4-step fix
- Define the Problem
Scope the initiative. Validate the hypothesis. Establish measurable success criteria before touching technology.
- Align the Process
Apply LEAN/Six Sigma rigor. Eliminate waste. Map the workflow the AI will live inside.
- Build the Data Foundation
MDM, governance, semantic layer, gold standard datasets. Data that AI can trust.
- Harness the Right AI
Select and deploy the model that fits the problem — not the one with the best marketing.
Engagements built for where you are.
POC, MVP, or retainer — scoped to your initiative, not a fixed program.
Process Alignment
LEAN/Six Sigma engagement to eliminate waste and map the workflow before AI is introduced. Ensures the process is worth automating.
Data Foundation
MDM design, governance framework, semantic layer, and gold standard dataset development. Builds data AI can actually rely on.
Fractional AI Leadership
Embedded AI leadership without the full-time cost. Strategy, vendor accountability, team development, and executive communication.
AI Rescue
For initiatives already in trouble. Rapid assessment, root cause analysis, and a recovery plan that determines whether to pivot, fix, or cut losses.
AI RESCUEWork that ships and stays.
Drug Diversion AI
First AI system for controlled substance diversion detection across hospital networks. NIH-funded, peer-reviewed, and in production across nearly 200 facilities.
FDA Regulatory AI
First AI system for FDA regulatory submissions at a major pharmaceutical manufacturer. Reduced submission cycle time and compliance risk.
Anti-Trafficking AI
AI-driven platform for human trafficking disruption. Longest-running production AI system in the portfolio.
Enterprise MDM
Master data management overhaul that enabled accurate contract compliance tracking — recovering over $300M in missed revenue.