Who We Are

At a Glance

  • Focus: Risk and threat intelligence teams
  • Value: AI speed and scale with defensibility intact
  • Method: Intelligence tradecraft + disciplined data methodology + Knowledge Workflow Design (KWD)

What We Do

ArtSci AI (pronounced "artsy") is a Virginia-based team of data-first intelligence professionals and trainers dedicated to helping analysts and analytic organizations realize the speed and scale of AI without sacrificing the rigor their stakeholders depend on.

Who We Serve

Our clients include:

  • Private-sector intelligence groups
  • Risk and investigations teams
  • Government contractors supporting the Intelligence Community

What they share is a common pressure: more intelligence insight needed faster than ever.

Why "ArtSci AI"?

Our name reflects how we work.

The art: human judgment, empathy, and the conviction that expertise remains the irreplaceable core of any intelligence function.

The science: disciplined method, repeatable process, and rigorous evaluation.

The best analytic work has always lived at that intersection. AI just raises the stakes for getting it right.

Our Method

Knowledge Workflow Design (KWD) is the practice of translating expert reasoning, judgment criteria, and decision logic into structured, governed workflows that AI can support reliably--and equipping analysts to work within them.

We combine KWD with deep intelligence tradecraft and a methodology that treats heuristics, sourcing, provenance, and evidence handling as foundational. The goal is analytic work that is faster, deeper, and more scalable, with the defensibility your mission demands.

What You Get in Practice

We design and deliver tradecraft-to-AI workflow blueprints--the artifacts, scaffolds, and governance structures that turn your team's expertise into something AI can support reliably and repeatedly.

Depending on where you are today, that looks like:

  • Knowledge task blueprints that define how your intelligence work happens so AI can execute it at scale.
  • Plug-and-play KWD artifacts for internal AI tools so systems produce outputs worth trusting.
  • Training and enablement that build AI native analytic and workflow literacy.