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KILEVEL © 2026

Healthcare

Answer Every Call, Without Ever Giving a Diagnosis

The hard part in healthcare is not the booking. It is the order: identity before any disclosure, consent before the recorder, and a red flag that turns into an action rather than a note.

A Day at the Front Desk

The four expensive moments in a practice always fall in the same places, and none of them is a staffing problem. They are workflows.

08:02

Everybody rings at once

Monday morning is one long busy signal at most practices. Concurrency here is a number you set, so the ninetieth caller at 08:05 is answered at 08:05.

11:40

One of them cannot wait

A live rule re-reads the urgency field every few seconds while the call is still running. When it turns, the call reaches a clinician before it ends.

18:00

Tomorrow's list

A scheduled workflow calls everybody booked for tomorrow. Confirming takes ten seconds, and anyone who cannot come is moved in the same conversation.

09:12

A gap opens

A cancellation is an event. It starts a workflow that works down the waiting list until somebody takes the time, rather than leaving a forty-minute hole.

The One Call That Leaves the Line

Most platforms score a conversation once it is over. For the one call where it mattered, that is too late. Here a rule evaluates the same schema against the conversation in progress, at an interval you choose, and may forward it before anybody hangs up.

RED FLAG, MID-CALLOut of the lineEVERYBODY ELSEAnswered and booked
The gap is the argument. Without it this is two lanes; with it, it is a diversion — somebody was taken out of the line while they were still speaking.
What an auditor checks first
Identity before detail
Consent captured
Scope respected
Protocol followed
Red flag mentioned
Red flag escalated
auto-fail

Five ticks and one cross. The cross is the only one that counts, and the reason "mentioned" and "escalated" must never be one field.

The ladder, and the rung nobody climbed
Routine
Soon
Urgent
Emergency
Mentioned
84%
Escalated
61%

Illustrative values.

Kilevel booking page showing genuine availability for a chosen day in the visitor's timezoneKilevel call detail with the transcript beside the fields extracted from it and the sentence each came fromKilevel widget offering chat, a call, a callback request and an out-of-hours form in one overlay
Enlarge

Real Availability, Not a Callback Promise

The agent reads the same schedule your front desk reads — per practitioner, per room, per service, with capacity per slot for group sessions — and books, moves or cancels on the call. Patients who would have hung up at "we will call you back" leave with a time.

Taking a Message Is Not Giving Advice

This line decides whether an AI agent belongs in a practice at all. It is written into the agent and measured afterwards, rather than hoped for.

It may do this
  • Verify identity and take the presenting issue
  • Ask the documented triage questions
  • Read genuine availability and book
  • Repeat a documented instruction verbatim
  • Start recording once consent is given
It may never do this
  • Interpret or grade a symptom
  • Suggest medication or a dose
  • Disclose anything before identity is established
  • Hear a red flag and carry on with the script
  • Record before anybody was asked
  • Two identifiersBefore any patient detail, not after — and as a field rather than an assumption
  • Scope of practiceClinical advice from a non-clinician becomes visible instead of unnoticed
  • ConsentRecording is a tool the agent controls: ask, then start, and stop again for the sensitive part
  • DisclosureThat an AI system is speaking is an opening the platform enforces, in the language of the call

What It May Look Up, and Do

An agent that can only talk lengthens the path to the front desk rather than replacing it. These run mid-sentence, against your real data.

Identity ×2Take the issueUrgencyRead availabilityCreate appointmentConfirm by SMS
get_patient_infoget_working_hoursget_available_time_slotscreate_appointmentreschedule_appointmentcancel_appointmentrequest_human_supporttransfer_callstart_call_recordingstop_call_recording

And whatever you build yourself alongside them — against any HTTP endpoint, any MCP server, any of your own data stores. A practice management system nobody has integrated yet is an afternoon rather than a project.

What makes an intake complete
Identity ×2
Presenting issue
Duration
Red flags
Medication
Allergies
Consent
Next step

Dashed means: never asked

A missing answer stays empty rather than being filled with something plausible — and so points at the question the script is missing.

Built From Your Protocol, Not Ours

There is no shipped triage logic you have to take on trust. There is yours: described, proposed, and reviewed before a single real call meets it.

Step 01

You describe

How your practice triages, what it would never say, and when somebody has to be pulled out of a treatment room.
Step 02

It proposes

The agent, the schema with its urgency scale, the escalation rule against a field that exists, and the reminder workflows — as a list of individual edits.
Step 03

You approve

Each edit on its own, with the assumptions it had to make listed beside it. Nothing touches a live agent until you have said so.

The same assistance builds flows, agents, state graphs, tools and campaigns across the whole platform — set out in full under Automations & Workflows.

Where the law has something to say

The disclosure that an AI system is speaking is an opening the platform enforces rather than a line somebody remembered. Recording is a tool the agent controls so that, in Germany, it can be asked for before it starts. And an agent does not take an emergency report: it recognises one and routes it on without assessing or delaying it. What is processed and kept where is set out in full in the Trust Center.

Never
Engaged

Concurrency is a number you set

Two
Identifiers first

Before any detail, and as a field rather than an assumption

Live
Escalation mid-call

Urgency is read before anybody hangs up

0
Diagnoses

Scope of practice is written in, and measured

Next step

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FAQ

Frequently Asked Questions

Everything you need to know about Kilevel.

Kilevel is a full-stack AI operations platform for businesses that communicate at scale. It unifies phone calls, WhatsApp, SMS, email, and web conversations under a single AI-native operating system, with visual workflow automation, omnichannel inbox, AI conversation analysis, and real-time operational control. From solo operators to enterprise teams, Kilevel runs autonomously across your entire communication stack.

Legacy IVRs follow rigid scripts. Chatbots handle text in isolation. Kilevel is an AI-native operations platform that handles real phone calls, WhatsApp, SMS, email, and web conversations simultaneously, with genuine contextual understanding. Agents adapt mid-conversation, book appointments, trigger follow-up automations, analyze every interaction, and hand off to humans when appropriate. The entire stack runs from a single platform: inbound queue, outbound campaigns, post-call intelligence, and operational reporting.

Yes. You can build and test your AI agent for free using our library of ready-made industry templates or by starting from scratch. Design call flows, configure channels, and connect integrations before going live. When you deploy, you pay a monthly subscription fee, which already includes a bundle of free AI minutes per month. Any usage beyond the included allowance is billed on a pay-as-you-go basis. No seats, no surprise fees.

No seats, no per-user charges. Kilevel combines a monthly subscription with usage-based pricing: each plan includes a pool of free AI minutes per month, and additional usage beyond that is billed at a per-minute rate. Building, testing, and configuring agents is free. Once live, costs scale predictably with your volume. Enterprise customers with high-volume commitments can discuss custom pricing agreements.

Most teams ship their first agent within a day. Kilevel comes with a library of industry-specific templates that cover the most common call flows and channel configurations out of the box. Pick a template, configure your agent's persona and rules, connect your tools, and deploy, no code required. Custom flows are built visually, and the AI flow assistant can generate an entire flow structure from a single descriptive sentence.

Kilevel gives your team leverage, not a replacement. AI agents absorb the volume of after-hours calls, common questions, appointment bookings and multilingual conversations, so your staff can focus on complex cases that genuinely need a human. Built-in sentiment analysis and configurable handoff triggers mean the AI always knows when to step aside.

The platform, the database and your recordings run on Google Cloud in Frankfurt, Germany, and the telephony infrastructure sits in a German data centre. Speech and language providers are used through their EU endpoints wherever the provider offers one. Where a provider processes outside the EU, that transfer runs on Standard Contractual Clauses, and every such provider is named with its processing region in our public Trust Center. An Article 28 data processing agreement applies from day one, with no separate negotiation, and we never use your data to train models.

Yes. Agents can detect a caller's language and respond accordingly, or you can configure language-specific flows per channel. This is particularly relevant for European businesses serving customers in German, French, Spanish, Dutch, and other languages alongside English, all within the same platform, without duplicating your entire agent setup.

No. The platform is designed for operators first. Flow building, agent configuration, channel setup, and integration connections are all no-code. Developers who want deeper control get a full REST API, webhooks, MCP-compatible tool discovery, and prompt-level customization, but none of it is required to run a production deployment. Non-technical teams operate Kilevel every day.

Completely. Every flow, agent behavior, escalation rule, and analysis signal is configurable, visually, without code. You define the tone, language, fallback responses, and handoff conditions. Advanced users can go further with prompt modules, templating parameters, flow templates, and a full REST API. If your workflow is unusual, Kilevel almost certainly supports it.

Complete control. You define tone, language, permitted topics, and response templates using prompt modules and templating parameters, reusable building blocks your agents draw from consistently. Escalation rules trigger human handoff based on sentiment, topic, or conversation outcome. Every configuration is fully testable in a sandbox before it touches a real customer.

You have full control over what your agent says. Define tone, language, and exact response templates. Escalation rules let you specify when a conversation gets transferred to a human, based on topic, negative sentiment, or repeated failed attempts. Everything is testable before it goes live, and you can iterate on agent behavior at any time.

Yes, and often without any setup at all. Kilevel supports MCP (Model Context Protocol), which means it can automatically discover and digest integrations from modern CRMs, ERPs, and data platforms. For everything else, there are webhooks, a REST API, and pre-built connectors. Your data flows in and out on your terms.

Both directions are fully supported. Kilevel uses MCP (Model Context Protocol) to automatically discover and integrate modern CRM and ERP systems, often with zero connector setup. In the other direction, Kilevel's REST API lets your own tech stack trigger calls, campaigns, and automations externally, and pull conversation results, analysis, and outcomes back into your systems on demand.

Yes, automatically. Kilevel scales concurrent lines dynamically, whether you're handling 10 conversations or 10,000, the infrastructure adjusts without manual intervention. The Operations Control Center gives you live visibility into concurrency, queue depth, and agent performance, so you're never operating blind at scale.

Your data sits in Frankfurt, Germany: platform, database and recordings on Google Cloud, telephony in a German data centre. Credentials are encrypted at the column level with AES-256-GCM, every query is scoped to its owning account, sub-users carry project-specific roles, and administrative actions are written to a reviewable audit trail. We process only on your documented instructions and never train models on your data. The full subprocessor list, with the processing region of each, is published in our Trust Center.

Kilevel agents are designed to manage uncertainty without frustrating the caller. They can ask clarifying questions, offer alternate paths, or escalate to a live operator, automatically, based on rules you set. The Attention Suite enables immediate human takeover mid-conversation without any disruption to the customer experience.

Kilevel agents handle uncertainty without derailing the experience. They can ask clarifying questions, reroute the conversation along alternate paths, or escalate to a live operator, all automatically, based on configurable rules. The Attention Suite lets operators intervene instantly mid-call, taking over the conversation without the customer noticing any disruption.