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ACTAVA | Release | CHRYSO v8 (September 2026)

ACTAVA now tracks AI compliance where the AI runs. CHRYSO, shown in the platform as Compliance, measures an organization against frameworks such as the NIST AI Risk Management Framework and HIPAA technical safeguards, and recalculates every control from what is happening on the platform: live agents, their evaluations and run history, approved policies, signed acknowledgments, completed training, and uploaded evidence. Organization administrators get a single page showing how many controls are satisfied, what is blocking the rest, and who needs to act. Members and citizen developers get a short task list of policies to sign and training to complete. For healthcare payers, providers, and life-science teams, the result is an audit-ready posture that stays current without a separate compliance spreadsheet.

ACTAVA | Release | KORA v8 (September 2026)

V7 settled who's accountable for the agents. V8 settles who gets to build with them. Here's what shipped, what's still in beta, and what needs configuration before you roll it out. V8 ships 82 items, and one thread runs through all of them: other teams can now build on the platform. A partner can create, version, run, schedule, benchmark, and export an agent with an organization API key, without opening the dashboard. A team can require checks before an answer goes out. A downstream system can receive results in a schema it declared up front. ACTAVA released v8 with 82 product improvements, all around one idea: openness. Partners can work directly in shared delivery surfaces, teams can trace and check the evidence behind an answer, and workflows can run from intake through completion without hiding the handoffs in between.

ACTAVA | Agentic Workforce | Agents That Match How the Work Already Runs

Procedure documents describe a workflow nobody actually runs. This one argues for watching the real work first: the undocumented checks, the exception rate, and the handoffs where responsibility changes hands. Those gaps are where delays and lost context live, and they're what an agent should be built around.

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Bring one workflow your team still runs by hand. We'll show you the agent that runs it.