Insights

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08.25.26

3. Organizational AI Governance: Frameworks, Artifacts and Implementation Guidance

Most AI governance failures aren't technical. They're organizational. In Article 3 of Aptive's Agentic AI Governance series, Ian Meinert breaks down the nine artifacts that turn NIST AI RMF requirements into working governance: risk tolerance statements, accountability matrices, impact assessments, bias evaluation frameworks and more. If leadership hasn't defined what risk the organization accepts, who owns what and what happens when something goes wrong, the technical controls aren't enough.

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08.18.26

2. Advanced Operational Maturity for Multi-Agent AI Systems

Passing an ATO review is not the same as staying compliant. This article maps the five gaps between a deployed multi-agent AI system and an operationally mature one: measurement, model risk, data governance, human oversight and continuous assurance, plus the evidence model auditors actually expect to see.

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08.18.26

1. NIST AI RMF 1.0 Alignment Analysis: Agentic AI Governance for Federal Programs

Agentic AI systems make decisions across multiple steps with limited human review at each one. The NIST AI Risk Management Framework is the federal government's reference point for governing them, and it's the standard agentic AI programs will be measured against. This is article one of a seven-part series on what it takes to govern these systems well.

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08.17.26

Agentic AI Governance for Federal Programs: A Contractor’s Perspective

Federal programs are deploying agentic AI faster than governance frameworks can follow. This seven-paper series, written from the practitioner's side, covers what actually has to work when multi-agent AI moves from pilot to production: security architecture, trust boundaries, governance artifacts, infrastructure and the evidence trail that gets a system through ATO.

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07.30.26

Standardizing Care: How Aptive Uses SAFe to Help VA Standardize the Federal EHR

VA is deploying a single Federal Electronic Health Record across 1,380 sites of care, the largest integrated health system in the nation. Aptive is helping standardize the operating model behind that shift, using Scaled Agile Framework (SAFe) to align workflows, cut resolution times and keep pace with a program that changes constantly.

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Man in a dark suit and glasses standing with arms crossed in front of a blue digital background showing medical imaging, including a brain scan, chest X ray and hand X ray.

07.20.26

Where Data Meets Mission: A Conversation with Aptive’s Chief Medical Officer Dr. Adi Gundlapalli

Aptive CMO Dr. Adi Gundlapalli has briefed members of White House Task Forces, led federal responses to COVID-19, Mpox and Marburg, and still sees patients every Tuesday. He sat down to talk about his career, why informatics is both a science and a daily practice, and what it will take for federal health modernization to hold up in the real world.

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07.14.26

Where Science Meets Service: Aptive’s FERSS Team Advances VA Research Nationwide

Behind every breakthrough in Veterans' health care is a team keeping the science moving. Through VA's Field Enterprise Research Support Services (FERSS), Aptive's embedded specialists support research at VA medical centers and central offices nationwide, spanning data analytics, biostatistics, research administration and training. Meet the people making it possible.

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07.09.26

Solving EHR Issues Where They Start: Inside VHA’s EHR Issue Management Process

A clinician hits a snag in the EHR. Someone has to own the fix, and it has to reach the front line fast. That's the job of VA's Tiered Hub Process, the framework Aptive helped design to solve issues at the most local level possible, before they become enterprise-wide problems.

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