Services

Technology Advisory
Services

Retained strategic leadership. Not hourly consulting.

Trusted in sensitive, regulated, and high-consequence operating environments since 1997.

01

AI Integration & Verification Advisory

Strategic design and oversight for AI systems operating in high-stakes environments where accuracy, traceability, and evidence-grounded outputs are non-negotiable.

Accuracy Assurance

Architecting AI systems that verify their own outputs — ensuring every answer is grounded in source material before it reaches the end user.

Evidence-Based Outputs

Designing workflows where AI-generated content is traceable back to authoritative sources, with built-in safeguards against unsupported claims.

Confidence Thresholds

Engineering systems that know when they don't know — configured to decline rather than speculate when evidence is insufficient.

Domain-Specific Implementation

Tailoring AI integration strategies to the regulatory, compliance, and operational requirements of your specific industry.

02

Legacy Infrastructure & Data Modernization

Strategic engineering to bridge the gap between legacy enterprise systems and modern AI-ready platforms — without losing the institutional knowledge embedded in decades of operational data.

Platform Migration

Guiding the transition of mission-critical logic from legacy hardware — HP 3000, HP 1000, MPE, Unix — to modern infrastructure. We've been doing this since the mainframe sunset.

Data Readiness

Preparing unstructured and legacy data assets for use in modern AI and analytics environments. Turning decades of institutional knowledge into structured, accessible resources.

Business Logic Preservation

Ensuring that the rules, workflows, and domain expertise embedded in legacy systems are carried forward — not lost — during modernization.

03

Strategic System Architecture & Technical Direction

Executive-level technical leadership for organizations where AI architecture decisions have compounding, long-term consequences.

Architecture Planning

Defining the system-level design decisions that determine how AI capabilities are integrated, scaled, and maintained across the enterprise.

Vendor & Technology Evaluation

Independent assessment of AI platforms, providers, and tooling for your specific domain requirements. No vendor allegiance.

Quality & Performance Oversight

Establishing the measurement frameworks and ongoing monitoring that ensure AI systems perform reliably in production — not just in demos.