Say yes to every agent idea. Then govern every one.
actAVA KORA carries agent ideas from prototype to production in one governed platform. Your teams build, including the ones without engineers. Every agent carries a budget, a benchmark, an evaluation, and an owner before it touches a claim, a chart, or a patient.
The workflows that make you different are the ones nobody will sell you.
AI-native vendors chase revenue cycle, patient access, and prescribing. Big problems, big markets, sensible business for them. The rest of your work runs too small, too specific, and too particular to your organization for anyone to package. Your own people have to build it, and most large organizations have no safe way to let them.
The share of your workflows that AI-native vendors actually sell today.
Too small, too specific, too idiosyncratic. You build these or you skip them.
Complex healthcare tasks the best frontier agents finish on the first try in χ-BENCH.
Ninety workflows handed to ninety shadow projects is how an organization loses the thread.
Distributed building works. Distributed building without a budget, a benchmark, and an audit trail leaves you with a hundred agents nobody can account for. Johns Hopkins took the other path. Researchers there ran frontier agents through 77 tools across 25 healthcare applications, with tasks grounded in thousands of pages of managed care policy, before deploying anything. Reliability came first. Financial return comes later, on purpose.
Read the Johns Hopkins interviewPrototype in days, pilot with guardrails, and produce agents your board can defend.
Build and manage every agent in one place
actAVA KORA runs the full agent lifecycle, the ERP for AI agents in healthcare. Prototype against your systems of record, orchestrate agents into longer workflows, and launch from a prebuilt agent library. Role-based access, human-in-the-loop review, and a complete audit trail apply from the first prototype onward.
Explore KORAOpen agent building to the people who know the work
Citizen developer tools put agent building in reach of operations leaders, analysts, and clinicians. Approval workflows route every new agent through the reviewers you name, and an ROI plan attaches before the build starts. Nobody reaches production alone.
Explore Build & AccelerateRun any model, then own the one you build
Point an agent at one model or several, CURA 1T among them, and compare results on a cost, quality, and compliance rubric set for that agent's work. Capture what your agents do, then post-train a small model on it. You finish with specific intelligence that runs cheaper and belongs to you.
Explore CURAFive things every agent gets before it goes to work
Treat agents as Non-Human Resources. You hire them, fund them, measure them, and retire them the way you handle every other resource on the org chart. Speed comes from the guardrails, not despite them.
A budget and an ROI plan
Every agent gets a spend limit and a return plan before it runs a single task. Finance watches consumption per agent in real time, and an ROI dashboard tracks the number the sponsor signed up for. You retire an agent that stops earning its keep.
A benchmark score
χ-BENCH scores your agent on the long-horizon, policy-dense tasks that stop frontier agents cold. First-pass completion sits next to repeat completion, so you find out whether a win holds the second time. A demo that works once tells you nothing.
An individual evaluation
actAVA CHRYSO evaluates each agent against your own policies and the external frameworks you answer to — 85+ regulatory controls spanning NIST AI RMF, HIPAA, CMS HEI, and ONC HT1. An agent registry holds the record, so a reviewer can trace which agent acted, under which policy, and with what result.
A model, or several
Run one model or run a bracket. Each candidate gets scored on a cost, quality, and compliance rubric tuned to that agent's work, with CURA 1T competing alongside frontier models. Swap the model later and your workflow logic stays where it is.
An afterlife
Every trajectory an agent produces becomes training data. Post-train a small model on the work your organization does and reuse it across teams. An agent that started as one team's prototype ends up as institutional IP.
Johns Hopkins is building the AI the market won’t sell, and benchmarking every agent before it deploys.
A $10 million gift from Dr. James Gills, an ophthalmologist and early NVIDIA investor, launched the Gills AI Innovation Center. Dr. Alvin Liu directs it and sits on the Johns Hopkins Medicine AI Oversight Team. He started with a harder question than which workflow to automate. Can frontier agents finish policy-dense, end-to-end work at all? His team put them through χ-BENCH on actAVA before deploying anything, and the results pushed him toward ownership over rental. Hopkins measures reliability first, tracks token consumption and per-agent cost against baselines, and holds off on reporting financial return until the evidence earns it.
“Accountability requires knowing which agent did what, under which policy, and with what result.”
90-day value realization
Three phases carry a first cohort of agents from a roadmap to a return, each one resting on the one before it. Start quickly, run safely, then grow intelligently.
Start quickly.
A roadmap, a budget, and the first agents running against your systems.
Plan your agent roadmap and the digital workforce budget behind it.
Build agents right away, accelerated by an actAVA team beside yours.
Integrate your systems of record and launch from our prebuilt agent library.
Run safely.
The policies, scores, and audit trail that let agents work unattended.
Establish the AI policies, frameworks, and evaluation rubrics you need.
Evaluate how every agent performs, then inspect and improve its behavior.
Govern every agent and orchestrate them across all of your systems.
Grow intelligently.
Cost held down, capacity where the work is, and a return you can show.
Control model costs with real-time consumption monitoring.
Distribute agent resources across functions as business demand shifts.
Measure business impact on an ROI dashboard you configure yourself.
Agent innovation your teams will use and your board will approve.
Open agent building to every team, hold every agent to a budget and a benchmark, and finish owning the intelligence you built. See how a first cohort of agents reaches production.
Master your agentic future.
Don't give your agentic future away to a single model provider. Don't mistake consumer tools in the business for real, safe Enterprise Agentic Tools. Enable your citizen developers to create and manage the AI Agents they need to run their part of your business. actAVA is the AI factory for healthcare.
Connect with us today to discover how actAVA KORA, CHRYSO, and our team of experts can supercharge your pathway to workforce transformation through agentic AI.