Arthur Shafer

Arthur Shafer · Forward-deployed AI / Enterprise systems

Governed AI systems, built end to end.

I turn ambiguous domain problems, fragmented data, and tacit expert workflows into evidence-grounded AI systems that people can actually use.

Active TS/SCI
National-security experience with a bias toward explicit authorization and evidence boundaries.
Sole creator
Rhode Island Political Intelligence System — statewide public evidence, geography, agents, and campaign products.
AWS + Azure
Delivery experience across serverless, containers, data platforms, and enterprise identity.
15 years
Across intelligence, enterprise architecture, technical delivery, and AI product building.

Selected systems

The hard part is rarely the model.

These systems begin with fragmented evidence, hidden workflow rules, regulated users, or an unfamiliar operating environment—and end as software people can interrogate, evaluate, and run.

  1. 01

    Rhode Island Political Intelligence System

    A statewide campaign research and strategy workspace connecting public records, elections, geospatial voter-roll intelligence, candidate dossiers, money, public decisions, and an evidence-native agent.

    What you'll see: statewide map · representative dossier view · evidence-bounded agent answer

    Product insight: a complex strategic answer becomes useful when the map, source record, identity state, counterevidence, and reasoning boundary remain inspectable.

    Public-safe representative proof in the case study.

  2. 02

    Governed intelligence platforms

    A production federal opportunity-intelligence system evolved into a durable enterprise agent architecture with contracted tools, corrective retrieval, evaluation, and authorization built into the runtime.

    Architectural insight: agents become dependable when tools carry evidence, limits, and authorization—not when prompts merely ask models to be careful.
    Open the live system
  3. 03

    State-government delivery fleet

    A repeatable pipeline turns solicitations into working demonstrations, technical packages, and deployment-ready software across corrections, public services, justice, and assessment workflows.

    Delivery insight: a working system changes a proposal conversation from “can you build this?” to “how do we put this into the bid?”
    Open five demonstrations
  4. 04

    Theoria

    A public, source-aware Orthodox study product built on a retrieval engine, domain-profiled corpus, conversational application, durable threads, and protected edge/origin deployment.

    Retrieval insight: the corpus, source posture, tool shape, and evaluation set matter as much as the model answering the question.
    Open the live product
  5. 05

    Product platforms

    Serverless products for contractors and professionals: customer provisioning, identity, billing, structured AI document workflows, hosted sites, and usable business software.

    Product insight: automation only creates value when the customer journey—from event to provisioned experience—is coherent.
    Open ResFol.io

How I work

Stay with the problem until the system is operating.

Forward deployment is a continuous loop between domain experts, evidence, product decisions, software, and the constraints of the target environment.

01 / Discover

Find the real workflow

Interview users, inspect artifacts, and surface the tacit rules that do not appear in the request.

02 / Contract

Establish the evidence boundary

Define sources, identity, authority, freshness, claim limits, and the tools the agent is allowed to use.

03 / Prove

Build and evaluate

Ship the smallest real workflow, observe failures, add regression and adversarial tests, then widen deliberately.

04 / Operate

Deploy and transfer

Package the runtime, identity, observability, runbooks, and decision history so another team can own it.

Enterprise credibility

Technical judgment shaped by operations.

My path runs from Army intelligence through enterprise transformation and aerospace systems to governed AI delivery. The thread is translating consequential work into systems people can act on.

Active TS/SCI clearance · 15 years across intelligence, enterprise architecture, technical delivery, and AI product building.

Booz Allen Hamilton

February 2019 – present

Applied AI delivery

May 2026 – present


Enterprise architecture, technical program leadership, and national-security software delivery.

CVS Health

December 2017 – February 2019

Senior Consultant, Technology and Innovation: modernization, requirements, and business-to-engineering translation.

SpaceX

June 2017 – October 2017

Business Systems Analyst intern: enterprise systems analysis and implementation support in a high-velocity engineering environment.

U.S. Army

January 2011 – June 2014

Intelligence Analyst, 82nd Airborne Division: all-source intelligence, operational planning, and decision support.

Ask about the work

A portfolio you can question.

The assistant retrieves from a versioned set of approved public claims, routes the question, shows the evidence it selected, preserves caveats, and links each answer back to the work.

Portfolio assistant

Ask About Arthur

Answers are composed only from a versioned set of approved public claims. Each answer keeps the evidence it used.

    Ask about Arthur's experience, projects, architecture, or delivery decisions.