Executive AI Advisory & Architecture

Fractional AI leadership with engineering rigor

Fractional AI CTO engagements, technical feasibility audits, and enterprise roadmaps grounded in control-theoretic risk modeling — not slide-deck AI strategy.

Fractional AI CTO and architecture board participation
Technical feasibility audits with TCO/ROI modeling
Enterprise AI roadmaps with phased delivery milestones
Vendor evaluation and build-vs-buy decision frameworks
AI governance, compliance, and risk assessment protocols

Case Studies

Enterprise AI Transformation Roadmap

Regional Healthcare Network

The Challenge

C-suite mandated AI adoption without internal architecture capacity, risking $12M in fragmented vendor contracts and incompatible data pipelines.

Control & Agent Architecture

Phased roadmap with control-theoretic risk gates: pilot → validate → scale. Each phase requires stability metrics (accuracy floors, latency bounds, failover SLAs) before progression authorization.

Hardware / Software Stack

Architecture assessment frameworkSupabase / cloud-agnostic designLangGraph agent prototypesCompliance audit tooling

Measured ROI

Consolidated 7 vendor contracts to 2; 18-month roadmap delivered $4.1M avoided spend.

Case study · ai-transformation-roadmap

Real-Time AI Feasibility Audit

FinTech Scale-Up

The Challenge

Board requested sub-100ms AI inference for fraud detection; prior vendor promised capabilities that failed latency benchmarks by 12× under production load.

Control & Agent Architecture

Independent audit mapped latency budget across ingestion, inference, and decision layers. Recommended edge-preprocessing with deterministic fallback controller for degraded-mode operation.

Hardware / Software Stack

Load testing (k6, Locust)ONNX Runtime profilingArchitecture decision recordsSLA modeling spreadsheets

Measured ROI

Prevented $3.8M failed vendor migration; delivered achievable 94ms p99 with documented failover paths.

Case study · feasibility-audit-fintech