Case Study·Oct 15, 2025·8 min read

Case Study: AI Agents in Healthcare Triage

How a leading telehealth provider reduced wait times by 60% using a BotHive swarm.

Solutions Engineering
Engineering team at Bothive. Building the future of AI agent orchestration.

AI in Healthcare

Disclaimer: BotHive is HIPAA compliant when configured with the Healthcare Enterprise Pack.

The Challenge

Our client, a major telehealth provider, had a 4-hour wait time for nurse triage. Patients were frustrated, and nurses were burnt out handling routine questions.

The Solution

They deployed a Triage Swarm.

  1. Intake Agent: Collects symptoms and history in natural language.
  2. Risk Agent: Analyzes data against clinical protocols (Red/Yellow/Green).
  3. Scheduling Agent: Books an appointment with the appropriate specialist.

The Results

  • Wait Time: Reduced from 4 hours to <5 minutes.
  • Nurse Satisfaction: Improved by 40% as they focused on high-acuity cases.
  • Accuracy: 99.2% alignment with human triage protocols during the pilot.

We are proud to power the future of care.

How to apply this inside Bothive

The practical move is to turn the idea into an agent contract: what the agent can see, what it can do, where it should ask for approval, and how the team will inspect the result. A good Bothive workflow is not just a prompt. It has memory, tools, channels, traces, and a clear boundary between autonomous work and human judgment.

Define the boundary

For case study work, decide which decisions the agent can make alone and which actions need a teammate in the loop.

Attach real context

Connect docs, customer data, repositories, tickets, calendars, or APIs so the agent works from grounded information.

Ship through a channel

Expose the agent through web chat, API, Slack, WhatsApp, schedules, or internal workflows depending on where the work starts.

Watch the run

Use traces, tool-call history, usage, and failure logs to improve the agent after it meets real users.

01

Build

Turn the idea into a readable agent contract, workflow, or builder graph.

02

Deploy

Run it through Bothive channels, schedules, integrations, and API calls.

03

Observe

Use traces, usage, memory, and tool logs to improve the system over time.

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Case Study: AI Agents in Healthcare Triage