The pilot proved the model, not the workflow.
A demo that works on clean sample data meets an operation with fifteen years of exceptions, workarounds, and undocumented business rules. The gap between those two is where projects die.
Your AI pilot worked. Now make it a system.
Most AI projects stall between the demo and the org chart. I embed with SMB and mid-market teams to move AI implementations from pilot to production, with governance, process, and people that hold up after the consultant leaves.
Why AI pilots stall
Nobody owns it after launch.
AI systems need monitoring, retraining, escalation paths, and a person accountable for output quality. Most pilots are scoped without any of that.
Governance arrived too late or too heavy.
Enterprise AI governance frameworks assume a dedicated ethics team. Mid-market companies need something leaner that protects the business without stopping the work.
How I work
Foundation
Governance, data readiness, and organizational alignment: the preconditions companies skip.
Execution Readiness
A scored use case registry, process maps, and a 12 to 18 month roadmap.
Build & Prove
A production system, not a proof of concept: integrations, monitoring, and fallbacks.
Scale & Lead
Handoff, upskilling, and the operating rhythm that keeps systems improving.
Twenty years of shipping systems into real operations
I did not arrive at AI from research. I arrived from the operations side: five ERP transformations, five CRM transformations, 50+ security and compliance audits, and a decade-plus embedded inside companies scaling from $1M to $30M+ and $30M to $90M+. AI implementation fails for the same reasons ERP implementations failed. I have already made most of those mistakes on somebody else's platform.
- Years technology leadership
- ERP and CRM transformations
- AI systems shipped
- Compliance audits guided
- Lean Six Sigma Black Belt
- Patent: image recognition and geocoding
Proven Results
Before AI, the same discipline applied to systems that had to work on day one.
Manual Entry Eliminated
Enterprise ERP Transformation
How a fragile, Excel-based operation became a cloud-native platform processing $100M+ in annual transactions
TechnologyInfrastructure Cost Reduction
E-Commerce Platform Consolidation
Unifying two independent procurement systems into a single cloud platform serving three divisions
ProcessAnnual Savings
Logistics Transportation Management
From spreadsheet-reliant freight operations to an integrated TMS platform saving $2.5M annually
InnovationSales channel enabled
Patented Image Recognition for Recalled Materials
A patented image recognition and geocoding validation system that enabled a $15M+ sales channel.
InnovationStart here
AI Readiness Assessment
Evaluate your organization across 5 critical pillars. Get a personalized maturity score and actionable recommendations in minutes.
Take AssessmentAI Implementation Framework
A four-phase approach to implementing AI as lasting organizational capability. Built on 20+ years of technology leadership.
Explore FrameworkAI Governance: The Claire Path
Pragmatic AI governance that engineering teams actually adopt. 8 pillars, tiered complexity, and multi-altitude documentation.
Learn MoreReady to get out of pilot purgatory?
Book a 30-minute conversation. Bring the pilot that stalled, the use case you cannot scope, or the governance question your legal team just raised. No pitch.