Political intelligence
Rhode Island Political Intelligence System
Statewide campaign research over public records, geography, money, and votes, with an agent that shows its evidence and its limits.
Explore the case studyArthur Shafer · AI architecture & leadership
AI solution architect with 15 years across intelligence, enterprise architecture, and technology delivery. I connect technical depth with the judgment to lead complex initiatives.
AI Solution Architect · Booz Allen Hamilton
Selected work
A portfolio spanning enterprise AI, intelligence, public-sector applications, and product architecture. Each case examines the decisions, technical depth, and limits of the work.
Political intelligence
Statewide campaign research over public records, geography, money, and votes, with an agent that shows its evidence and its limits.
Explore the case studyGoverned enterprise AI
A federal opportunity system evolved into an enterprise agent platform: contracted tools, corrective retrieval, and authorization inside the runtime.
Explore the case studyAutonomous research
An autonomous research and signal system: asset maps, research agents, generated collectors, a validation gauntlet, and daily refresh.
Explore the case studyMore work
Applied systems work across corrections, justice, public transactions, and scheduling, informed by published agency requirements.
A public, source-aware study product with durable threads and a protected origin.
Contractor CRM and ResFol.io: serverless products from customer event to hosted experience.
Public products, prepared demonstrations, and protected applications, with access clearly identified.
Professional perspective
Experience in intelligence and enterprise systems shapes my approach to AI: understand the context, set clear priorities, test the evidence, and build lasting capability.
Architecture begins with the people doing the work, the decisions they need to make, and the constraints a system must respect.
Shared data and clear priorities give teams a foundation for building the right capabilities in a deliberate order.
Evaluation, traceable sources, and explicit limits make technical decisions open to scrutiny.
A system becomes an organizational capability when teams can operate, evaluate, and improve it over time.
Experience
February 2019 – present
AI Solution Architect · 2026–present
December 2017 – February 2019
Senior Consultant, Technology and Innovation
June 2017 – October 2017
Business Systems Analyst intern
January 2011 – June 2014
Intelligence Analyst
MBA and Bachelor of Science, Bryant University
Writing
Case note
Read this if you are deciding where the code stops and the model starts.
Case note
Read this if two users with different clearances will ask the same system the same question.
Case note
Read this if an agent-built feature keeps growing and nobody asked it to.
Ask
The assistant answers only from a versioned set of approved claims, shows the evidence it selected, and says when the record does not establish an answer.