actAVA is live on the AWS Marketplace!

actAVA is now available on the AWS Marketplace. That is a three-word sentence that carries a lot of practical weight for healthcare and enterprise technology leaders who have been watching the agentic AI space and wondering when the procurement question would get easier. Today it did.

The actAVA Agentic Platform listing on AWS Marketplace includes the full actAVA platform — KORA (our agentic development lifecycle suite), CHRYSO (our agentic governance suite), and χ-BENCH (our healthcare benchmark) — available for purchase through the same consolidated procurement channel AWS customers use for infrastructure, security, analytics, and every other enterprise technology purchase. Three tiers. Flexible contracting. Forward-deployed engineering support included. And all of it counted toward your AWS committed spend.

Here is what this means, what the platform includes, and what AWS customers should know about getting started.

The Procurement Barrier Was the Last Mile Problem in Enterprise AI Adoption

The organizations that have been slowest to move from AI pilots to production deployment are often not the ones with the weakest technical teams or the least compelling use cases. They are the ones where every new AI vendor requires a separate procurement process: a new legal review, a new security assessment, a new vendor onboarding sequence, a new contract vehicle that finance has to approve, and a separate billing relationship that does not fit neatly into existing cost structures.

AWS Marketplace removes that entire layer for AWS customers. actAVA is now a pre-approved vendor in the same procurement channel that healthcare systems, health plans, and enterprise technology teams already use for their other cloud infrastructure. One contract vehicle. One consolidated bill. One security and compliance framework that AWS customers have already accepted. The path from "we want to evaluate actAVA" to "we have a signed contract and are building agents" is now measured in days rather than quarters.

Three Products. One Platform. The Full Agentic Lifecycle.

The actAVA Agentic Platform available on AWS Marketplace is not a single tool, but rather a complete system for building, evaluating, governing, and continuously improving AI agents across enterprise operations. It includes three integrated products that address the three phases in which agentic AI most often fails: building agents that actually work in production, governing them once they are in production, and measuring whether they are performing to the standard the workflow requires.

KORA: Build and Deploy Agents That Perform in Production

KORA is the core of the actAVA Agentic Platform, the system that takes an organization from "we want to deploy AI agents" to agents that are running, governed, improving, and generating measurable ROI across enterprise workflows.

It supports conversational, background, and voice AI agents across multi-step workflows, with human oversight built into critical decision points rather than bolted on as an afterthought. Healthcare-native interoperability connects agents to clinical and administrative systems without requiring custom integration for every connection. Before any agent reaches production, behavioral benchmarking validates its performance against pre-built and customer-defined standards. After deployment, multi-timescale learning turns real-world outcomes into auditable improvements, agents that get better continuously, without compromising the guardrails they were deployed with.

Utilization management and real-time ROI reporting give organizations visibility into what each agent costs to run and what it delivers, making the business case for each deployment a measurable, defensible number rather than an assumption from the pilot phase.

CHRYSO: Govern AI Agents at the Speed the Regulatory Environment Requires

The most common failure mode in enterprise AI governance is not the absence of a policy; it is the absence of a system for enforcing that policy continuously across a growing fleet of deployed agents. CHRYSO is that system.

CHRYSO provides real-time monitoring and automated control evidence against NIST AI RMF, HIPAA, CMS HEI, and ONC HT1, the regulatory frameworks that govern AI in healthcare and enterprise-regulated industries. It analyzes organizational policies against specific framework requirements, identifies critical gaps and missing controls, and assigns a completeness score from 0 to 100, along with actionable recommendations for immediate improvement.

Cross-framework validation means that an organization satisfying HIPAA requirements through CHRYSO is simultaneously building toward its NIST AI RMF posture — not running separate compliance processes for each framework. Every policy review results in a definitive decision: approve, revise, or reject, with documentation that survives an audit.

χ-BENCH: Know What Your Agents Can Actually Do Before They Do It in Production

The most dangerous moment in healthcare AI deployment is not when an agent fails visibly — it is when it appears to work in a demo environment and fails in a production workflow. χ-BENCH was built to close that gap: the first benchmark specifically designed to evaluate agentic AI on healthcare administrative workflows as they actually run, not as they appear in controlled demonstrations.

Built and reviewed by AI, clinical, and academic experts, χ-BENCH evaluates complex workflows — prior authorization, utilization management, care management — across dense policy documents, hidden state, multi-role coordination, and provider-payer handoffs. Its tasks are grounded in real managed-care operations and constitute one of the largest and most realistic evaluations of agentic AI in a policy-dense enterprise setting.

The results consistently show a clear performance gap between frontier AI models and the reliability healthcare requires, which is precisely why the harness the agent runs on matters as much as the model in the Brain seat. χ-BENCH gives healthcare organizations the measurement infrastructure to know where that gap exists before they deploy, not after. Learn more at actava.ai/benchmarks.

Five Things AWS Customers Should Know

The Path From Pilot to Production Just Got Shorter

The question for most healthcare and enterprise technology leaders is no longer whether agentic AI has a role in their operations. It does. The question is how quickly and safely they can move from evaluation to deployed agents that generate measurable value without introducing new compliance risk, creating new procurement overhead, or building on a foundation that cannot scale across the enterprise.

AWS customers who have been building their cloud infrastructure on the premise that healthcare AI would eventually be production-ready — at the compliance standard, at the governance level, and at the procurement simplicity their organizations require — now have a direct path to get there. actAVA is the AI factory. AWS Marketplace is where you now build it.

Questions about which package is right for your organization? Reach out at sales@actava.ai or actava.ai.