Give your teams the roadmap, governance, and expertise to make AI actually work.
Detect suspicious patterns. Prioritize investigative
leads. Turn complex government data into actionable fraud intelligence
They have a prioritization, governance, architecture, adoption, and execution problem. The AI Blueprint is built to close that gap and to be judged on what reaches production
Years of technology leadership
AI and ML initiative experience
No roadmap theatre. Decisions are made on architecture, cost, and feasibility not on a preferred product stack.
Executive-level positioning combined with hands-on architecture, solution design, and implementation oversight.
Governance, security, and adoption designed for public-sector and regulated constraints from day one.
Co-author of an Ethical AI framework for the U.S. government; governance is part of the build, not a postscript.
Establish where AI can create value, and in what order. Maturity assessment, use-case prioritization, target architecture, and an implementation roadmap leadership can fund and defend.
Turn promising prototypes into secure, governed, production-ready solutions with the architecture, delivery oversight, and adoption work that stalled pilots are usually missing.
Governance frameworks, architecture decisions, AI token economics and cost discipline, plus senior technology advisory for leaders accountable for AI outcomes.
An executive conversation to understand the business problem, current AI maturity, constraints, stakeholders, and the outcomes that matter.
Assess and prioritize opportunities, then define the strategy, governance, architecture, and roadmap needed to move forward.
Lead solution design, support vendor and product decisions, and oversee implementation teams taking a use case from prototype to production.
Drive adoption, measurement, and cost discipline with ongoing executive or CTO-level advisory where it is useful.
Developed an AI strategy and three-year roadmap covering 52 use cases, then selected priority pilots with implementation subsequently going live and being used by citizens.
Led and advised complex enterprise technology, data, and AI initiatives, including ML and operational modernization using sensor data for predictive analytics that increases train safety.
Designed a secure AWS-based retrieval-augmented generation solution activating more than 8,000 resources to accelerate the United Nations’ sustainability goals.
Modernized digital operations and emergency management capabilities to improve response and resilience.
With more than 20 years of technology leadership and experience across public-sector and regulated environments, the founder brings a practical, execution-focused approach to AI strategy. Her work spans more than 100 AI and machine learning initiatives, helping organizations turn complex technology opportunities into practical outcomes.
Backed by an Executive MBA from Georgetown and experience as an ethical AI contributor, public-sector advisor, and experienced speaker, with speaking engagements including Forbes, SXSW, and TEDx. She brings both strategic perspective and hands-on leadership to every engagement, helping organizations move from AI ideas and pilots toward responsible, real-world implementation.
