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The first three articles in Aptive's agentic AI governance series defined the architecture. Article four defines the infrastructure that enforces it: container isolation, sandboxed code execution, zero trust network zones, CI/CD security gates and an AI incident response plan built around CISA's 72-hour reporting window.
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Aptive congratulates Tammy Czarnecki, executive vice president for health services, on being named a winner of FORUM's Leading for IMPACT, Women in Leadership award.
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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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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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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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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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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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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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