Team

Small, senior, and certified where it counts

A lean team led by an engagement principal who builds govtech, with a Responsible AI–certified lead owning the technical core — bias, fairness, explainability, risk, and monitoring. Depth is added through a Responsible-AI platform teaming relationship and HSG's delivery bench.

JH

Jelani House

Principal & Engagement Lead

House Strategies Group

Founder of House Strategies Group and GovCert. Leads federal program strategy and govtech platform delivery — pairing oversight-grade rigor with software that ships.

Engagement leadershipFramework architecturePlatform deliveryOIG / CO interface
BD
Responsible AI–certified

Brad Dillman

Responsible AI Lead

House Strategies Group

Senior economist and risk-analytics lead holding a Responsible AI certification. Owns the bias-mitigation, fairness, explainability, risk-registry, and model-monitoring workstreams — the technical core of the framework.

Bias & fairness assessmentExplainability (SHAP/LIME)AI risk registryDrift & performance monitoring
AI
Teaming

Platform & Tooling Partner

Responsible-AI Platform (teaming)

AI-governance platform partner

A teaming relationship with a federal-facing Responsible-AI platform supplies production-grade use-case intake, model risk, bias testing, and drift monitoring — accelerating delivery and integrating with the OIG’s Databricks / Azure / Power BI environment.

Use-case intake toolingModel-risk infrastructureBias/fairness testingDrift dashboards
HSG

HSG Delivery Bench

Data Science · Privacy · Change Management

House Strategies Group

Senior data-science, privacy/policy, and change-management practitioners who stand up the training program, Golden Templates, and policy updates — and embed the framework into how RISC actually works.

Workforce upskillingPolicy & privacyGolden TemplatesAdoption & change

How we staff it

The capabilities the SOW asks for exist in-house for the governance, framework, and delivery work; we team for the production Responsible-AI tooling so the OIG gets enterprise-grade intake, model-risk, and drift infrastructure without paying a large prime’s overhead. This honest in-house-vs-team split is exactly what the RFI asks suppliers to disclose — and it’s a structure that integrates with RISC’s existing Databricks, Azure, and Power BI environment rather than replacing it.