Services
Applicability and decision-control evidence for regulated organizations.
Sellhausen Consulting helps regulated organizations determine which AI requirements actually apply to their systems, decisions, vendors, and jurisdictions — then turns those requirements into controls, evidence, and review-ready governance files.
What we do
Flagship assessment
AI Applicability & Decision-Control Assessment
For regulated organizations using AI in consequential decisions. We identify which AI requirements apply to your use cases, map those requirements to controls, and produce the evidence checklist needed for review, audit, examination, procurement, or oversight.
Deliverables
- — Organization applicability profile
- — AI use case inventory
- — Source applicability matrix
- — Decision-control map
- — Required controls register
- — Evidence checklist
- — Governance gap register
- — Monitoring queue
- — 90-day remediation roadmap
Financial Services AI Control Readiness
For banks, credit unions, fintech lenders, and financial-services vendors that need to understand AI, model risk, adverse action, vendor, and supervisory expectations at the use-case level.
Focus areas
- — Model risk and AI governance applicability
- — Sector-specific AI risk frameworks
- — Generative AI governance gaps
- — ECOA / Regulation B adverse action evidence
- — Third-party AI oversight
- — Monitoring, validation, and decision-control evidence
Federal AI Governance & Acquisition Readiness
For agencies, contractors, and vendors that need to translate federal AI policy and procurement expectations into reviewable controls and evidence.
Focus areas
- — Agency AI governance
- — High-impact AI classification
- — AI acquisition and procurement requirements
- — Vendor documentation
- — Evidence files for IG, GAO, procurement, or program review
- — Federal contracting readiness
Vendor / Procured AI Evidence Review
For organizations buying, deploying, or selling AI systems in regulated environments.
Focus areas
- — Vendor documentation
- — Model and system cards
- — AI due diligence
- — Contractual safeguards
- — Data and IP rights
- — Testing and monitoring evidence
- — Downstream deployer obligations
How we work
Applicability → Decision → Risk → Control → Evidence
Every engagement starts by determining which sources apply. Then we map each AI system to the decision it influences, the people affected, the risks created, the controls required, and the evidence needed to prove the system is governed.
Frameworks and standards
Direct working knowledge of the regulatory and management-system frameworks that govern AI in regulated environments.
Federal & defense
Teaming and subcontracting
Sellhausen Consulting LLC is a service-disabled veteran-owned business based in Round Rock, TX, with SBA SDVOSB certification in process (target July 2026). Actively seeking teaming arrangements with prime contractors pursuing federal AI governance, acquisition, and procurement work.
What we bring to your team
- SDVOSB certification in process (SBA VetCert, July 2026 target)
- Hands-on AI product and data engineering experience (not just policy)
- Federal regulatory examination background (FDIC)
- Working knowledge of NIST AI RMF, OMB M-25-21, OMB M-25-22, and model risk management guidance
- Can operate independently or embed with your existing team
- Examiner-grade written deliverables
NAICS Codes
Next step
Start with applicability.
If your organization is using AI in regulated, consequential, or public-sector decisions, the first conversation is an applicability conversation.
Book an Applicability Call