HUMANPrior authorization agent
Assemble clinical and payer context, draft auth packets, and escalate exceptions for human approval.
AI Agents for Healthcare Operations
We help healthcare teams turn high-friction workflows into working agents that connect tools, data, approvals, and business logic.
In 30 minutes, we identify 3 to 5 agent opportunities, score them by value and complexity, and recommend the best first workflow to deploy.
Built for CIOs, COOs, VP Revenue Cycle, and Patient Access leaders
The problem: Healthcare teams have AI ideas, but production adoption is hard
Administrative burden across prior auth, claims, scheduling, documentation, and call centers keeps teams from converting AI ideas into production workflows.
Healthcare teams do not need generic chatbots. They need agents that help with prior auth, claims, scheduling, and revenue-cycle work with strict human review and system connections.
Use cases
Workflows we turn into agents
Claims denial triage
Classify denials, gather supporting documentation, and recommend next actions for revenue cycle teams.
Patient scheduling assistant
Interpret scheduling requests, check constraints, and prepare confirmed schedule recommendations.
Clinical admin summary agent
Summarize encounters and admin notes into structured handoffs for downstream staff.
Named offer
How the AI Agent Deployment Sprint works
A hands-on FDE-style engagement that turns one high-value business workflow into a working agentic workflow in 30 days.
- 01Map the target workflow
- 02Identify the agents, tools, approvals, and data sources
- 03Build and test the first working agent
- 04Connect the agent to your stack
- 05Add evaluation, logging, and human review
- 06Train the team to operate and extend it
- 07Leave behind the runtime so the workflow keeps running
What your team owns after the sprint
You keep the agents, the workflow design, and the operating model. Everything we build can run on MonkeyBot, a company-controlled agent runtime for tools, skills, durable memory, approvals, and shared workflows. Your agents do not disappear when the engagement ends.
AEO
Frequently asked questions
What is an AI agent for healthcare operations?
An AI agent for healthcare operations is a workflow system that can use approved tools, retrieve business context, follow rules, involve humans when needed, and complete a defined business task.
How is this different from a chatbot?
A chatbot answers questions. An agent completes a workflow by using data, tools, approvals, and business logic.
What workflow should we start with?
Start with a high-volume admin workflow such as prior authorization triage or claims denial routing where rules are clear and clinicians or RCM staff can review before action.
Do we need to replace existing systems?
No. The first deployment should connect to your existing systems rather than replace them.
How do you reduce risk?
Use scoped permissions, human approvals, evaluation tests, logging, fallback paths, and clear ownership before expanding automation.
Next step
Start with one workflow
Bring us one painful workflow. We will help you decide whether it should become an agent, what it would take to implement, and what business outcome it should drive.
Book a Healthcare Workflow Review