AI at Human Scale 

Make AI investment decisions you can defend 

Independent enterprise architecture and AI-governance consulting for mid-market and regulated organizations evaluating consequential AI initiatives. 

Determine whether to authorize, redesign, defer, or decline an initiative—with its business case, architecture, governance conditions, implementation requirements, and decision evidence made explicit. 

Fixed scope. Fixed fee. Executive-ready decision package. 

A defensible decision in ten business days 

The AI Investment, Architecture & Governance Diagnostic evaluates one defined AI initiative before substantial implementation commitments are made.

We establish the operating baseline, test the value case, document architectural alternatives, identify governance and agentic-risk conditions, and define the evidence required for a controlled pilot or release decision.

            The result is a disciplined answer: authorize, redesign, defer, or decline. 

            What leadership receives 

• Quantified baseline and ROI scenario model

• Architecture decision record with alternatives and trade-offs

• AI authority and governance assessment

• Relevant regulatory-context traceability

• Implementation dependencies and unresolved conditions

• Pilot charter with success measures and stop/go criteria

• Executive decision dossier and leadership readout

Designed for a defined initiative—not a generic enterprise maturity assessment. 

AI initiatives often advance on the strength of technical demonstrations, vendor claims, or executive enthusiasm before the organization has established the business baseline, architecture, implementation dependencies, governance boundaries, or evidence required for a defensible decision. 

AI at Human Scale connects these questions so leadership can decide whether an initiative should be authorized, redesigned, deferred, or declined. 

Senior enterprise experience. Mid-market scale. Evidence before authority. 

About David C. Jones

I am an enterprise architect and senior technology consultant with more than two decades of experience across enterprise architecture, integration, cloud, data, security, regulated systems, and artificial intelligence.

Through AI at Human Scale, I develop practical models for AI governance, decision architecture, regulatory intelligence, delegated authority, and human oversight—bridging the gap between high-level principles and real-world implementation.

My interest in human-centered AI is also deeply personal. As the father and primary caregiver of an adult daughter with autism and intellectual disabilities, I have explored how AI can support independence, communication, safety, and quality of life while preserving human dignity and agency.

Technology should extend human capability without diminishing human agency.

Books for leaders implementing governed AI 

Practical guidance for moving from AI concepts and policy statements to defensible investment decisions, governed operating capabilities, and measurable business outcomes.