We combine tradecraft-harnessed technology, specialized training, and Knowledge Workflow Design to help analysts and mission teams amplify their value across the full analytic lifecycle—from planning and collection through synthesis, inference, validation, and finished production.
Produce tradecraft-grounded intelligence at speed and scale.
Equip analysts with the skills to orchestrate AI for analytic tasks.
Translate expert tradecraft into actionable AI workflows.
Tradecraftworks is an intelligence production platform designed to transform near-real-time Publicly Available Information and other API-accessible data into timely, defensible analytic products.
Unlike generic AI research and writing tools, Tradecraftworks embeds expert tradecraft, analytic workflows, source controls, and human validation into the production process. The platform supports AI-assisted collection, processing, assessment, synthesis, drafting, and review while preserving source lineage and giving analysts control over key judgments.
The result is faster production, greater consistency, and decision-grade intelligence that remains traceable to its underlying evidence.
ArtSci AI provides tailored training for analysts, managers, and mission teams navigating the emerging art and science of AI-augmented intelligence analysis.
Our training goes beyond generic prompting instruction. Participants learn how to decompose intelligence problems, structure analytic tasks, assign appropriate roles to humans and AI, and rigorously validate AI outputs.
Programs can be customized to an organization’s mission, workforce, data environment, and level of AI maturity.
Many AI initiatives struggle because they begin with technology rather than a clear understanding of the expert work the technology is expected to support.
Knowledge Workflow Design is ArtSci AI’s method for translating expert judgment, analytic tradecraft, and tacit knowledge into structured, reusable workflows that AI-enabled systems can execute and support.
Working directly with subject-matter experts, we identify and document the elements that make a recurring knowledge task special and defensible, including:
These elements are captured in a reusable Knowledge Task Profile—a practical bridge between human expertise and AI-supported capabilities.
Knowledge Task Profiles can inform system requirements, agentic workflows, prompt and variable libraries, evaluation criteria, training programs, and operational governance. They help organizations develop AI capabilities that are faster to deploy, more accurate in operation, and easier to govern and scale.
In this Johns Hopkins University Inside Intelligence presentation, ArtSci AI examines how AI is changing analytic work, the enduring role of intelligence tradecraft, and the capabilities and skills analysts need to operate effectively with AI in the loop.