USPS OIG · RISCRFI 6HQOIG-26-A-000512-month FFP

A Responsible AI Framework the OIG can operate on day one.

Most suppliers will send you a binder. We built the framework as working software — an AI use-case intake, a living inventory with the Enhanced Traffic-Light Protocol, a risk registry, ethics & explainability controls, drift dashboards, and a prompt library. Everything in this companion is real and clickable.

8
deliverables, built
12
AI systems governed
4
tiers · Enhanced TLP
GAO + NIST
frameworks mirrored

The proof is the portal

We do the work before the bid — then point you to it.

RISC already runs 90+ production pipelines and is standing up agentic AI. A framework for a buyer that mature has to be operationally grounded, not aspirational. So we stood up a working instance — populated with realistic synthetic systems — that shows exactly how the OIG would intake, classify, monitor, and govern its AI.

GAO-21-519SP aligned NIST AI RMF Meets-or-exceeds M-25-21 Independent-by-design Agentic-AI ready
Independent by design

USPS is exempt from the FAR and the OMB AI memoranda do not legally bind an independent Inspector General. We treat M-25-21 as a floor to meet-or-exceed — and design the framework around the OIG’s statutory independence, its law-enforcement-sensitive data, and its agentic-AI trajectory, mirroring GAO-21-519SP so the OIG can audit its own AI to the same bar it holds others to.

Why this wins for the OIG

Every deliverable, demonstrated

The SOW, as working modules

Built on the standards your auditors already use

GAO-21-519SP
AI Accountability Framework for Federal Agencies
The IG community’s own audit-side standard — we mirror its four principles.
NIST AI RMF 1.0
AI Risk Management Framework
GOVERN · MAP · MEASURE · MANAGE — adopted as voluntary best practice.
NIST AI 600-1
Generative AI Profile (12 risk categories)
Confabulation, harmful bias, data privacy, information integrity, and more.
OMB M-25-21
Accelerating Federal Use of AI (Apr 2025)
We design to meet-or-exceed the High-Impact AI minimum practices.
OMB M-25-22
Driving Efficient Acquisition of AI
Lifecycle monitoring, vendor accountability, no lock-in.
FIRST.org TLP v2.0
Traffic Light Protocol
Extended into the Enhanced TLP for the AI data lifecycle.

Why House Strategies Group

01

We build the framework — and the tools that run it

This portal is the proof. Where others deliver a binder, we deliver a working AI inventory, risk registry, intake system, and drift dashboards your team operates on day one.

02

Operationally grounded, not boilerplate

Written for a buyer already running 90+ pipelines and standing up agentic AI — the framework governs the autonomous workflows RISC is building now, not a generic policy.

03

Independent by design

Tuned to IG independence and mirrored on GAO-21-519SP, so the OIG leads the IG community on a standard CIGIE has not yet published.

04

Right-sized, nimble, AI-accelerated

A small, senior team that delivers with an AI dividend — meeting the bar of a large prime at a fraction of the overhead, under a 12-month firm-fixed price.

See the framework run.

Open the platform, switch into a Chief AI Officer or auditor view, submit a use case through intake, and watch it land in the inventory, the risk registry, and the dashboards.

Operate the platform