Get AI out of pilots and into production.
Most companies now have AI pilots. Far fewer have AI in production. The gap is rarely the model; it is data nobody cataloged, identity never designed for non-human actors, and governance that exists as a document rather than as a control. Those are architecture problems, and they are the ones I solve.
1. Score
Eight domains, assessed against evidence rather than a questionnaire.
2. Constrain
The binding constraint named, and which initiatives it blocks.
3. Sequence
A 90-day roadmap that addresses the constraint first.
Engagements
Fixed price, fixed scope, and a small first purchase rather than a large commitment.
Enterprise AI Readiness Assessment
Where you are across eight domains, which initiatives are buildable now, and a 90-day roadmap. Two weeks, $7,500.
Cloud Well-Architected Review
One Azure subscription against the five pillars, scored against a control catalog rather than a questionnaire, with cost findings in dollars a month. Two weeks, $7,500.
Enterprise Architecture Health Check
Applications, integration, data, cloud, security and technical debt, with a modernization roadmap. Three weeks, $10,000.
AI / Agent Architecture Accelerator
Gateway, workload identity, governed retrieval, guardrails, evaluation and cost control. From $15,000.
Architecture Governance Accelerator
Standards, review lanes, ADR-as-Code and policy-as-code gates. Governance that runs in a pipeline. From $20,000.
Fractional Chief Architect / CTO
Senior architecture leadership on a retainer, without another full-time executive. From $3,500 a month.
Cloud & modernization architecture
Landing zone design, migration architecture, and well-architected review across Azure and AWS.
Ready to talk?
Share what you are trying to accomplish. You will get a clear next step and a realistic plan.
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