Decision Systems Lab delivers AI-powered vendor assessment systems built specifically for U.S. Air Force and DoD acquisition environments — transforming open-source data into scored, auditable intelligence that reduces decision latency and strengthens source selection.
Decision Systems Lab designs and operates automated AI-driven systems that support the full Air Force acquisition lifecycle — from market research through source selection and sustainment.
Automated collection, scoring, and synthesis of open-source intelligence across 23 DoD acquisition parameters. Delivers structured vendor assessments with scored tables, comparative risk graphs, and executive summaries in a fraction of the time required by manual methods.
AI-generated intelligence calibrated for Air Force program managers, contracting officers, and source selection officials. Supports market research, technology assessment, proposal evaluation, and risk analysis within the Adaptive Acquisition Framework.
Design and deployment of multi-agentic AI systems with service orchestration, human-in-the-loop oversight, full audit trails, and alignment with the NIST AI RMF, DoD Responsible AI principles, and AIUC-1 agentic compliance standards.
The ETVA System is Decision Systems Lab's proprietary automated vendor intelligence platform, purpose-built for Air Force and DoD acquisition environments. It directly supports Phase I acquisition activities under the Adaptive Acquisition Framework — from market research and technology assessment through proposal evaluation and source selection.
The system automates collection, analysis, and scoring of open-source vendor data across a proprietary 23-parameter evaluation framework aligned with Department of War acquisition criteria. Each output is a structured, fully auditable intelligence report: scored parameter tables, comparative risk graphs, confidence indicators, and an executive summary formatted for senior acquisition leadership.
Built and validated against AIUC-1 — the agentic AI compliance standard — the system provides complete source citation, data gap flagging, and human-in-the-loop review controls at every decision point. Every recommendation is traceable, explainable, and defensible.
Dr. Brandt is a trusted advisor and experienced AI Specialist with a proven track record of AI solutions planning and implementation across U.S. Government agencies and defense sponsors. She identifies strategic and tactical opportunities for AI adoption, plans and implements AI pilot programs, and ensures alignment with organizational goals, regulatory compliance, and ethical considerations.
With a doctoral background in Quantum AI and Machine Learning, Microsoft certification as an Azure AI Engineer, and hands-on experience building and deploying multi-agentic systems with service orchestration, Dr. Brandt brings both theoretical depth and operational credibility to every engagement. Her systems have been developed and validated against AIUC-1 agentic compliance standards, with methodology aligned to DoD acquisition requirements.
Developed and validated AI system for evaluating emerging technology companies as potential DoW vendors across 23 dimensions, with automated data reporting, scored tables, and charts using open-source data.
Customized role-based LLM-generated insights for PEO Major Program Managers, Action Officers, and Analysts using DFAR, CASREPs, and QuickLook Analysis Reports.
Demonstrated AI-driven analysis illustrating potential savings of $25.9M annually with ROI greater than 10X through synthesis of evidence across a research body.
Developed actionable AI-driven intelligence for supply chain disruption scenarios including mitigation plans, risk signals, and associated response timelines.
Developed AI policies for agentic systems to ensure AIUC-1 compliance and responsible AI governance across government programs.
Developed AI Strategic Plan, Implementation Plan, and rollout communications for government AI pilot program adoption and integration.
Decision Systems Lab is actively pursuing Air Force and DoD acquisition intelligence opportunities. We welcome capability briefings with program offices, source selection teams, and teaming discussions with prime contractors.
Responding to the AFLCMC/WL RFI on AI Tools to Accelerate Air Force Mobility Aircraft Acquisition Activities. Contact us to discuss how the ETVA System can support your program.