AI workers that understand people, coordinate across your systems, and complete real operational work—while your team keeps the judgment, relationships, and control that should stay human.
The value is what happens after Claire understands the request. She maintains workflow state, coordinates the tools and people involved, and keeps the next step moving without turning every exception into another administrative task.
Interpret intent, context, language, and the job the person needs completed.
Access only the authorized information relevant to the current workflow.
Move work across calendars, records, documents, teams, and connected tools.
Complete permitted actions and route exceptions or approvals to people.
Preserve workflow state, decisions, handoffs, and operational visibility.
Claire does not replace the professional relationship. She removes the coordination burden that surrounds it, so staff can focus on the moments requiring expertise, reassurance, negotiation, care, or accountability.
Coordinate scheduling, intake, insurance work, referrals, and follow-up while access teams handle judgment and exceptions.
Explore patient access →
Structure intake, collect documents, support conflicts workflows, flag urgency, and route the right context to the right person.
Explore legal intake →
Coordinate onboarding, servicing, document collection, policy checks, and approvals without obscuring human accountability.
Explore customer servicing →Claire is not a fixed receptionist script or a generic chatbot. Her workers, access, rules, tools, escalation paths, and channels are configured around the workflow you choose.
Companies often begin with a familiar search: an AI receptionist, a voice AI agent, customer service automation, or appointment scheduling software. Claire can serve that front door, but the product is built for the operational work that follows. A request becomes a governed workflow that can collect information, retain useful state, call an authorized API, apply a business rule, wait for an external event, send an SMS or email, and involve a person when the situation requires judgment.
That makes Claire an AI workflow automation and orchestration platform rather than a standalone chatbot. AI workers handle bounded responsibilities inside a larger process. Your systems remain the source of record. Your team defines permissions, exceptions, approval points, and the work that should never be automated.
Phone calls, messages, forms, campaigns, and other events can begin or continue work. Claire can collect structured information, present options, use keypad input, obtain consent, and communicate the next step through the channel appropriate to the workflow.
Workflow Builder primitives—including API calls, variables, If/Then branches, decision routing, time checks, delays, and human handoff—coordinate the sequence between a request and its outcome. The workflow can be configured around real operating rules instead of a generic script.
Runtime, Operations, Recordings, Quality, Vault, documents, tenant administration, and customer management provide the operating context around deployed workers. Teams can inspect what happened and decide where Claire acts, pauses, or routes work to a person.
Claire is most useful when interaction volume is high, the workflow repeats, information lives in one or more systems, and the business has clear rules for normal work and exceptions. The platform is horizontal; each deployment is configured around the language, policies, systems, and human roles of the operation.
Understand why someone is contacting you, gather the required facts, retrieve permitted context, answer bounded questions, create the next record, and route sensitive or unusual requests with a useful summary.
Check hours, service area, resource rules, appointment type, and permitted availability. Confirm, reschedule, or cancel when authorized, and involve staff when coverage, urgency, capacity, or policy creates an exception.
Turn a request into structured work, apply priority and assignment rules, notify the appropriate team or vendor, record acknowledgement, and escalate when an emergency or missed response needs human attention.
Retrieve the relevant job, load, claim, case, order, or appointment; communicate the current state; schedule the next touchpoint; and keep the system and people aligned when conditions change.
Collect the facts that determine fit, urgency, location, service type, and next action. Claire can prepare a complete handoff so sales or intake staff begin with context instead of repeating the first conversation.
Ask for missing information, explain what is required, send secure instructions, track the workflow state, and follow up. A person retains responsibility for professional, regulated, or high-impact review.
Respond outside business hours using the same configured rules as the daytime operation. Routine requests can move forward; emergencies and exceptions can reach the correct on-call person with the facts already gathered.
Campaigns and communications can support reminders, check calls, confirmations, missed-call recovery, document follow-up, and status outreach—subject to consent, policy, and the deployment’s configured boundaries.
“AI receptionist” is useful buyer language because many workflows begin with a call. The difference is what the product can do once the caller’s intent is understood.
Typically answers common questions, captures a message, routes a call, or books a simple appointment. That can reduce missed calls, but staff may still need to re-enter information, open multiple systems, apply operating rules, send updates, chase follow-up, and manage every exception manually.
Can begin with the same phone conversation, then collect structured data, preserve variables, call permitted APIs, branch on rules, wait, communicate by SMS or email, update the next system step, and hand the workflow to a person with context. Claire is designed around the whole operational sequence—not only the greeting.
Claire is configured to interact with authorized business systems through available APIs and implementation pathways. A system name on this website is not an integration claim. During implementation, the team maps required reads, writes, credentials, permissions, error handling, and ownership before a workflow is allowed to act.
API calls can retrieve context or perform configured actions. Access belongs in the Vault, permissions should be least-privilege, and the workflow should never report completion when a system action fails. Unsupported or unavailable connections are treated as implementation requirements, not marketing fiction.
A handoff can be the correct outcome. Claire can gather context and route the work when a clinical, legal, fiduciary, safety, pricing, credit, coverage, or relationship decision belongs to a person. The objective is a prepared handoff—not artificial autonomy.
Recordings, runtime information, Operations, and Quality capabilities help teams understand how deployed workflows behave. Governance is not a badge strip; it is the practical discipline of permissions, traceability, review, testing, and clear responsibility.
We prioritize industries where customer-facing requests create multi-step administrative work across people and systems. The initial examples are a starting point—not the boundary of the platform.
Scheduling, intake, referral and insurance coordination.
Explore →Qualification, conflicts support, documents, and routing.
Explore →Onboarding, documents, controlled updates, and approvals.
Explore →Service requests, scheduling, routing, and status updates.
Explore →Messaging, service requests, reservations, and follow-up.
Explore →Context gathering, documents, status, and approvals.
Explore →Lead qualification, appointments, CRM updates, and follow-up.
Explore →Property, logistics, staffing, home care, commerce, and beyond.
View industries →Claire Research publishes original analysis on adoption, economics, governance, security, and implementation. Our 2026 medical-practice AI receptionist report includes methodology, source notes, limitations, and citation-ready findings. Research is maintained separately from product claims and links to the commercial workflows it can genuinely inform.
Research is a first-class part of the site. Explore industry benchmarks and operational analysis, then connect the evidence to a workflow your team is evaluating.
Explore Claire ResearchClaire can be configured for AI receptionist workflows such as answering, intake, qualification, and scheduling. The platform goes further by coordinating system actions, business rules, follow-up, workflow state, multichannel communication, and human handoffs.
AI workflow orchestration connects an AI worker’s understanding to a controlled sequence of actions across communications, business systems, rules, and people. It turns a conversation or event into a traceable operational process.
Claire includes API-call and credential-management primitives. Feasibility depends on the target system’s documented access, permissions, data model, and the actions required. We validate each connection rather than claiming universal integrations.
Your team determines the boundary. People should retain professional judgment, approvals, complex exceptions, empathy, accountability, and high-risk decisions. Claire can prepare and route those moments with relevant context.
High-volume, repeatable coordination is the strongest starting point: customer intake, service scheduling, check calls, maintenance requests, document follow-up, status updates, dispatch preparation, after-hours requests, and policy-based routing.
Start with one painful workflow. Map the trigger, required information, systems, rules, normal path, exceptions, human ownership, communications, and measures of success. Then validate the workflow and integrations before expanding.
No. Claire is positioned to reduce administrative drag so people can focus on relationships, judgment, care, negotiation, and accountability. The workflow should make human work more effective, not erase it from the operating model.
Claire provides product capabilities for runtime operations, recordings, quality, administration, workflows, permissions, and human handoff. Specific controls and retention requirements are confirmed during implementation for the customer’s environment.
Show us the request, systems, rules, and handoff points. We will map what Claire can handle and where your people should stay in control.
Claire is one orchestration platform. Regional pages explain the operating language, systems, privacy context and buyer questions that change by market.