Conversations & calling
Voice and digital requests become structured workflow inputs.
Home / Platform
Platform architecture
Claire orchestrates work across AI, systems and people.
A configurable platform for conversations, calling, workers, workflow logic, system actions, human handoffs, runtime operations and quality.
RequestUnderstand the person, context and desired outcome
CoordinateApply rules, maintain state and involve the right systems
ActExecute only permitted actions and communications
GovernEscalate exceptions and preserve human control
Platform architecture
Built for operational depth.
Claire orchestrates work across AI, systems, communications, business rules and people.
Agent builder
Configure bounded roles, tools, knowledge and behavior.
Workflow builder
Branching, waits, variables, time checks, messages, API calls and handoffs.
Runtime & operations
Observe conversations, actions, workflow state and exceptions.
Quality & governance
Review outcomes, recordings, permissions and operating boundaries.
Multi-tenant administration
Separate configuration and operations across customer environments.
Human control
Automation with explicit boundaries.
Decide where Claire executes, where a person approves, and which exceptions require takeover.
Claire coordinates
Configured retrieval, preparation, communication and actions.
People remain accountable
Judgment, approval, relationships and consequential decisions.
From signal to resolution
Build the work between an incoming request and a finished outcome.
A Claire workflow can begin with a call, message, schedule, webhook or other configured trigger. It can collect structured information, remember variables, route on conditions, wait for the right time, call an authorized API, send a message, run work in parallel and bring a person in when judgment is required.
Start from the event
Phone calls, messages, scheduled activity, email, chat and webhooks can become workflow triggers. The workflow begins with the context that caused the work—not a blank chat window.
Collect usable context
Collect Info, Options and Keypad steps turn unstructured requests into fields the next step can use: identity, location, urgency, dates, load number, unit, equipment or claim details.
Decide with rules
If/Then branches, decision routing, keyword and pattern checks, number comparisons and time checks make the operating policy visible instead of burying it inside a prompt.
Act across channels
Send voice or digital responses, SMS and email; call authorized APIs; update workflow variables; launch a configured sub-workflow or campaign; and coordinate several actions in parallel.
Keep people in the loop
Human and agent handoffs move the request, collected context and exception forward. Teams decide which conditions Claire handles and which conditions belong to a person.
Operate what you build
Conversations, recordings, runtime, operations and quality surfaces give teams places to inspect behavior and outcomes without publishing private customer data as marketing proof.
A platform, not a single-purpose bot
One set of primitives. Different operational outcomes.
The same orchestration foundation can qualify an HVAC emergency, chase a freight ETA, coordinate a maintenance vendor, capture a restoration loss, assemble an FNOL file or process an equipment off-rent request.
What changes by customer
- The words people use and information the workflow must collect
- The business rules, schedules and exception thresholds
- The systems and authorized actions involved
- The point where a human approves, takes over or follows up
- The definition of a completed outcome
Show us the workflow.
Bring the request, systems, policies and handoff points.
From primitives to production
Configure a bounded workflow before expanding autonomy.
Product capability does not make every customer workflow production-ready on day one. Deployment maps the trigger, required context, system access, business rules, communication, human checkpoints, failure behavior, completion definition, and operating owner. Teams can begin with collection and preparation, then enable system actions after the connection and exception paths are proven.
Build
Compose collection, options, messaging, API calls, variables, waits, branches, decision routes, sub-workflows, parallel work, and handoffs.
Test
Exercise normal requests, missing context, ambiguous identity, policy boundaries, unavailable systems, failed communications, and human takeover.
Operate
Use conversations, recordings, runtime, operations, and quality surfaces to inspect behavior and find repeated exceptions.
Expand
Add request types, channels, integrations, and permitted actions only after the team can verify outcomes and retain control.
The platform is horizontal, but deployments are specific. The same primitives can coordinate a service call, driver delay, maintenance request, policy intake, or rental extension only after the customer’s data, permissions, rules, and people are mapped.
Buyers should be able to trace a request across the platform: conversation, state, branch, action, wait, communication, human handoff, final disposition, and quality review. That trace is the practical difference between a standalone response generator and an orchestration system that coordinates accountable work.