Government programs are buried in analysis work — market research, compliance review, test evaluation — while decisions wait. Decision Systems Lab builds AI workflow systems that deliver auditable, source-traceable intelligence, human-reviewed at every gate — so your decisions move faster and hold up under scrutiny.
The reason government programs hesitate on AI is not capability — it is accountability. Every Decision Systems Lab output is built to survive scrutiny up the chain.
Outputs cite where each finding came from, and externally derived claims are verified at origin before they enter the record. Findings can be checked — not just believed.
Workflows pass through automated quality-control checks and human review gates before any result is accepted as done. Failures stop the chain — so you brief results, not caveats.
Every step, input, and intermediate result is logged and retained. When a decision is questioned months later, the record answers for itself.
Decision Systems Lab delivers operational AI workflow systems across seven mission domains — each available for live demonstration today.
Fielded AI systems demand continuous, evidence-based test and evaluation — not a one-time checkmark at deployment. Workflows carry AI-enabled systems from kickoff through reporting with verification at every stage.
Live Demonstration AvailableControl gaps and fleet cyber risk hide in disconnected documents. Structured pipelines correlate risk across systems and surface compliance gaps against federal security frameworks — with citations verified, not asserted.
Live Demonstration AvailableVendor claims outpace the government's capacity to verify them. Automated vendor intelligence turns open-source data into scored, auditable assessments that shorten source selection without sacrificing rigor.
Live Demonstration AvailableThe spectrum environment changes faster than manual threat analysis can keep up. Structured analysis workflows deliver threat assessments at the speed the environment demands, with the reasoning on the record.
Live Demonstration AvailableCollection without synthesis is just data. Analytical workflows turn ISR and space-systems inputs into decision-ready assessments that program leadership can act on and defend.
Live Demonstration AvailablePrivacy thresholds and assessments are done inconsistently across programs — until they aren't done at all. Aligned with Department of Homeland Security privacy-compliance practice: consistent, documented, every program, every time.
Live Demonstration AvailableTrade studies and system analyses live or die on engineering traceability. RF and radar workflows produce complete, structured technical analyses with the supporting evidence attached.
Live Demonstration AvailableNew mission domains stand up on the same proven platform — inheriting the quality gates, audit trails, and security discipline already in production above. If your program's analysis problem isn't listed, it's a conversation, not a rebuild.
Start the ConversationEngage a single offering or the full platform — either way, you get the same production discipline. Every domain above runs on KFOS, Decision Systems Lab's proprietary Knowledge Factory Operating System, which means each individual solution arrives already carrying the quality gates, security controls, and audit infrastructure of the whole. And when your program's needs grow, the next capability is a configuration on a system you already trust — not a second procurement, a second security review, and a second learning curve.
KFOS executes structured, multi-step analytical workflows in which AI does the heavy lifting and humans hold the authority. Work moves through gated chains: each stage produces a reviewable artifact, passes automated quality-control verification, and waits for human approval before the chain proceeds. Validated results are promoted into a governed knowledge base, so every engagement makes the next one stronger.
The platform enforces strict organizational isolation, deny-by-default access control, and complete auditability. It is designed and operated against Decision Systems Lab's published agentic-AI governance principles: agents propose, workflows dispose, and a human activates every run.
Multi-step analyses with human approval required between stages.
Independent quality-control checks catch unsupported claims before delivery.
Reviewed results enter a versioned, governed institutional knowledge base.
Every run, input, and output is logged and permanently retained.
Multi-tenant architecture with strict per-organization data separation.
No autonomous commitment — a human activates and approves every workflow.
The ETVA System is Decision Systems Lab's automated vendor intelligence offering, purpose-built for Department of War 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 multi-dimension evaluation framework aligned with Department of War acquisition criteria. Each output is a structured, fully auditable intelligence report: scored assessments, comparative risk analysis, confidence indicators, and an executive summary formatted for senior acquisition leadership.
Designed to AIUC-1 — the agentic AI compliance standard — and internally validated against it, the ETVA 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. The system has been developed and internally validated to TRL 5 in a relevant defense environment.
Structured evaluation across the full proprietary framework.
Risk positioning across candidate vendors with confidence indicators.
Every finding traces to its open-source origin; data gaps are flagged, not filled.
Decision-ready synthesis formatted for senior acquisition leadership.
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 are designed to AIUC-1 agentic compliance standards and internally validated against them, with methodology aligned to Department of War acquisition requirements.
Developed and validated AI system for evaluating emerging technology companies as potential Department of War vendors across a proprietary multi-dimension framework, 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.
Developed 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.
Tell us who you are and what you'd like to see. We review each request personally and send login instructions by email — demonstrations are guided to your selected interest areas, with sample data provided. No preparation required on your side.
Decision Systems Lab is actively engaging Department of War and government agency programs, prime contractors and teaming partners, and organizations seeking Knowledge Factory capability for their own analytical operations.
We welcome capability briefings and live demonstrations across all seven mission domains. Contact us to see the platform run on a problem that looks like yours.