Research
Inside χ-Bench’s healthcare workflows
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch, engineering, and ideas from Actava.ai.
Research
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch
How evaluation failures guide training data for a healthcare foundation model.
Read the storyProduct
How verified workflow experience supports training and checkpoint selection.
Read the story117 videos
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A diff shows what moved in an agent. Only the version note explains why it moved, what evidence backed it, and what risk it was controlling. This ACTAVA video makes the case for writing change notes the next person can actually act on.
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This ACTAVA Voice Agent demo shows a post-discharge follow-up call as part of a governed healthcare workflow. The agent speaks with the patient, captures structured responses, follows the approved conversation path, and escalates to designated staff when a person is needed. The call is one controlled step connected to scheduling, documentation, and follow-up inside ACTAVA KORA. Learn more about ACTAVA: https://www.actava.ai/
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Agents should not begin with silent execution. A visible plan lets the operator inspect the steps, confirm assumptions, and catch an unsafe path before tools are called. In this ACTAVA Agentic Workforce concept, the plan becomes an approval surface: the agent says what it intends to do, which systems it will use, and where it will pause. Show the plan. Then do the work. Learn more about ACTAVA: https://www.actava.ai/
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Most operational work should not make a person wait. When an agent runs in the background, it can gather evidence, check every case, batch work efficiently, and stop at a real approval gate without holding a chat window open. In this ACTAVA Agentic Workforce concept, the workflow starts from an event or schedule, runs independently, and returns a result when it is ready. Design the work around the operation—not the spinner. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
Most operational work has nobody waiting on a spinner, so agents don't need to answer in two seconds. Running in the background lets an agent retrieve more, check more, batch the work, and stop at a real approval gate before anything moves.
VideosWatch video
A surprising amount of agent work is invisible—not because it is secret, but because it happened inside somebody's private browser session. In this ACTAVA Agentic Workforce concept, shared workspaces, live monitoring, shared threads, and open run history make the work legible to the team. That creates three practical advantages: handover, review, and reuse. Someone else can pick up the work, colleagues can inspect what happened without screenshots, and strong runs can become examples instead of disappearing with the tab. Shared thread beats private tab. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
A governed workflow makes responsibility visible from intake through completion. In this ACTAVA Agentic Workforce concept, each step has a defined input, output, owner, tool boundary, and approval point. The workflow can move across agents and systems without losing context, while run history preserves what happened and why. One workflow. Clear gates. Traceable execution. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
The quietest compliance failure in an agent pipeline is data ending up somewhere nobody planned for it to be. Ordinary engineering convenience creates uncontrolled copies: full records pasted into prompts, generated documents that replicate source content, and handoffs that pass data instead of references. Each copy creates another set of logs, caches, traces, permissions, and retention rules to govern. Reference it. Don’t relocate it. Every copy is a new thing to govern. Make fewer of them.
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A claims review backlog grows because qualified reviewers don't scale, and every decision still has to survive an audit. This walkthrough shows a review agent grounded in your own uploaded policy documents, gated by named approver groups before any payment-changing step, with live citations and a benchmarked accuracy score.
Bring one workflow your team still runs by hand. We'll show you the agent that runs it.
Research, engineering, and ideas from Actava.ai.
Research
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch
How evaluation failures guide training data for a healthcare foundation model.
Read the storyProduct
How verified workflow experience supports training and checkpoint selection.
Read the story117 videos
VideosWatch video
A diff shows what moved in an agent. Only the version note explains why it moved, what evidence backed it, and what risk it was controlling. This ACTAVA video makes the case for writing change notes the next person can actually act on.
VideosWatch video
This ACTAVA Voice Agent demo shows a post-discharge follow-up call as part of a governed healthcare workflow. The agent speaks with the patient, captures structured responses, follows the approved conversation path, and escalates to designated staff when a person is needed. The call is one controlled step connected to scheduling, documentation, and follow-up inside ACTAVA KORA. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
Agents should not begin with silent execution. A visible plan lets the operator inspect the steps, confirm assumptions, and catch an unsafe path before tools are called. In this ACTAVA Agentic Workforce concept, the plan becomes an approval surface: the agent says what it intends to do, which systems it will use, and where it will pause. Show the plan. Then do the work. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
Most operational work should not make a person wait. When an agent runs in the background, it can gather evidence, check every case, batch work efficiently, and stop at a real approval gate without holding a chat window open. In this ACTAVA Agentic Workforce concept, the workflow starts from an event or schedule, runs independently, and returns a result when it is ready. Design the work around the operation—not the spinner. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
Most operational work has nobody waiting on a spinner, so agents don't need to answer in two seconds. Running in the background lets an agent retrieve more, check more, batch the work, and stop at a real approval gate before anything moves.
VideosWatch video
A surprising amount of agent work is invisible—not because it is secret, but because it happened inside somebody's private browser session. In this ACTAVA Agentic Workforce concept, shared workspaces, live monitoring, shared threads, and open run history make the work legible to the team. That creates three practical advantages: handover, review, and reuse. Someone else can pick up the work, colleagues can inspect what happened without screenshots, and strong runs can become examples instead of disappearing with the tab. Shared thread beats private tab. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
A governed workflow makes responsibility visible from intake through completion. In this ACTAVA Agentic Workforce concept, each step has a defined input, output, owner, tool boundary, and approval point. The workflow can move across agents and systems without losing context, while run history preserves what happened and why. One workflow. Clear gates. Traceable execution. Learn more about ACTAVA: https://www.actava.ai/
VideosWatch video
The quietest compliance failure in an agent pipeline is data ending up somewhere nobody planned for it to be. Ordinary engineering convenience creates uncontrolled copies: full records pasted into prompts, generated documents that replicate source content, and handoffs that pass data instead of references. Each copy creates another set of logs, caches, traces, permissions, and retention rules to govern. Reference it. Don’t relocate it. Every copy is a new thing to govern. Make fewer of them.
VideosWatch video
A claims review backlog grows because qualified reviewers don't scale, and every decision still has to survive an audit. This walkthrough shows a review agent grounded in your own uploaded policy documents, gated by named approver groups before any payment-changing step, with live citations and a benchmarked accuracy score.