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Agents Skilled in
Every Tedious Task

Calvient's agentic AI agents — purpose-built AI workflow automation agents for healthcare operations — handle the administrative work between task creation and human decision. They trigger on conditions, run defined action sequences, and hand off with full context when judgment is needed.

The Four-Phase Model

How every agent works

Every Calvient agent follows the same four-phase model from detection to handoff.

Trigger

Every agent watches for a specific condition — a new fax, a missed deadline, an unsigned form, or an eligibility mismatch. When the condition is met, the agent activates automatically.

Analyze

The agent evaluates context: patient data, payer rules, workflow state, and prior history. It applies configured logic to determine which action sequence fits the situation.

Act

The agent executes its action sequence — routing a document, sending a follow-up, submitting an authorization, verifying eligibility — completing the repetitive middle work without staff involvement.

Handoff

When a case exceeds its SLA, contains ambiguity, or requires clinical judgment, the agent stops and surfaces the item to staff with the full task history, communications log, and extracted data attached.

Special Agents

Meet the agents

Each agent is designed for a specific workflow — with a defined trigger, a set of autonomous actions, and a clear handoff condition. They handle the repetitive middle so staff can focus on what requires judgment.

Browse by workflow

Front Office Automation

Every Visit, Handled End to End

Agents that handle reminders, intake paperwork, and post-visit follow-up so the front desk can focus on patients in the room.

Reminder Agent

automated appointment reminder and outreach agent

Replaces

Manual phone call reminder lists and voicemail follow-up

Trigger

An appointment is scheduled and the first configured reminder interval is reached based on appointment type and patient risk profile.

Actions

  • Sends an initial reminder via the patient's preferred channel (SMS, phone, or email)
  • Runs follow-up sequences based on appointment-type cadence
  • Detects confirm, cancel, or reschedule responses and updates the schedule accordingly
  • Flags high-risk appointments for enhanced outreach (new patients, complex procedures)

Intake Concierge

digital intake form delivery and completion agent

Replaces

Paper packets handed to patients at the front desk

Trigger

A new appointment is confirmed and digital intake forms are required before the visit.

Actions

  • Sends the intake packet to the patient via their preferred channel
  • Tracks completion status against appointment timing
  • Sends follow-up prompts with a direct link for incomplete forms
  • Flags specific missing items and escalates when forms remain incomplete within 24 hours

Follow-Up Sentinel

post-visit follow-up and care gap closure agent

Replaces

Spreadsheet tracking for no-shows and post-visit tasks

Trigger

An appointment ends as a no-show, or a post-visit follow-up window opens based on the visit type.

Actions

  • Sends post-visit survey to confirmed appointments
  • Initiates no-show outreach with reschedule options
  • Sends lost-to-follow-up notices at configured intervals
  • Records all outreach attempts and responses in the visit history

Frequently Asked Questions

What is agentic AI in healthcare? +

Agentic AI in healthcare refers to AI systems that autonomously execute multi-step administrative workflows in response to defined triggers — without requiring step-by-step human instruction for each action. Unlike chatbots that answer questions, agentic AI agents take action: verifying documents, sending follow-ups, routing tasks, checking eligibility, submitting prior authorizations. They handle the repetitive operational middle of healthcare workflows and hand off to staff only when the situation requires clinical judgment or exception handling.

How is agentic AI different from traditional healthcare automation? +

Traditional automation (RPA, rule-based bots) follows rigid scripts that break when data changes or edge cases appear. Agentic AI applies judgment within defined parameters — it can interpret unstructured documents, adapt to different payer requirements, and decide which action is appropriate based on context. The key difference is that agentic AI handles variability; traditional automation requires near-perfect data conditions to function reliably.

What healthcare workflows can Calvient AI agents automate? +

Calvient's agentic AI agents automate workflows across:

  • Document intake and triage — classifying, extracting, and routing faxes, forms, and messages
  • Referral management — validating completeness, tracking status, and notifying referring providers
  • Prior authorization — building and submitting auth packets, tracking decisions, chasing responses
  • Real-time eligibility verification — contacting patients with coverage mismatches before appointments
  • Patient appointment reminders — multi-channel outreach with risk-based escalation
  • Patient form completion follow-up — nudging unsigned digital intake paperwork
  • Queue management and SLA enforcement — auto-assigning work and escalating stalled items
How do Calvient AI agents know when to hand off to staff? +

Each agent has a defined handoff condition configured for its workflow. Handoffs are triggered when:

  • A case exceeds its SLA threshold despite agent outreach
  • An item contains ambiguous data below the agent's confidence threshold
  • A patient or provider has not responded after the maximum number of outreach attempts
  • The situation requires clinical judgment (e.g., a prior auth denial or clinical escalation)

When an agent hands off, it surfaces the item to the appropriate staff queue with the full task history, communications log, and extracted data attached — so staff can act immediately without reprocessing from scratch.

Do Calvient AI agents work with my existing EHR? +

Yes. Calvient's agents are designed to work alongside existing EHR platforms — including eClinicalWorks, athenahealth (athenaOne), NextGen Healthcare, ModMed, Veradigm (Allscripts), AdvancedMD, CureMD, and Greenway Health — without requiring a full system replacement. The agents read workflow state from the EHR, take actions within Calvient's operational layer, and write back to the EHR at defined handoff points.

What is "the repetitive middle" that Calvient agents handle? +

The "repetitive middle" refers to the operational work that happens between when a task is initiated and when it requires a qualified human decision.

For example: a referral arrives → a staff member manually checks whether it is complete → sends a fax to request missing documents → waits for a response → checks again → routes it to the scheduler. Every step in that loop except the final scheduling decision is the repetitive middle.

Calvient's agents handle those steps automatically, leaving staff to focus on the judgment-requiring endpoints — not the administrative connective tissue between them.

Ready to put agents to work?

See how Calvient's agentic AI agents reduce administrative burden, cut turnaround times, and give your staff their time back — inside the workflows they already use.

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