Home Services
Service intake and dispatch
Conversation → context → rules → system action → communication → human exception.
Home / Industries
Demand-driven industry architecture
Operational work, configured by industry.
Claire is horizontal infrastructure configured around the language, systems, rules and human roles of each operation. These six markets earned Wave-1 priority through commercial intent, workflow fit and visible SERP opportunity.
ConversationVoice, SMS, email, chat, forms and events
OrchestrationState, branching, waits, rules, actions and follow-up
SystemsAuthorized APIs, records, schedules and documents
PeopleApprovals, exceptions, takeovers and judgment
Wave 1
Specific enough to acquire. Deep enough to convert.
No thin vertical swaps. Each page uses the operation’s own language and shows a distinct request-to-resolution workflow.
Freight Brokerage / 3PL
Check calls and track-and-trace
Conversation → context → rules → system action → communication → human exception.
Property Management
Maintenance coordination
Conversation → context → rules → system action → communication → human exception.
Restoration
Emergency loss intake
Conversation → context → rules → system action → communication → human exception.
Insurance
FNOL and service intake
Conversation → context → rules → system action → communication → human exception.
Equipment Rental
Inquiry and reservation coordination
Conversation → context → rules → system action → communication → human exception.
Not limited to six markets
A horizontal platform with a disciplined go-to-market.
Other markets remain under evaluation. We publish a commercial page only when the buyer intent, workflow depth and Claire fit justify it.
What earns a page
- Clear commercial search intent
- A workflow Claire can explain truthfully
- Meaningful system and human coordination
- A page that teaches more than a keyword substitution
How work changes by operation
The same platform coordinates different facts, rules, systems, and people.
Industry depth is not a label. A credible workflow must understand what the person is trying to accomplish, which record matters, what the business permits, which system owns the next action, and who is accountable when the normal path breaks.
Home services: protect the service day
A homeowner says “no heat,” “the basement is flooding,” “I need an estimate,” or “where is my technician?” Claire can collect job-specific facts, check territory and after-hours policy, retrieve permitted customer context, offer an allowed next step, update the appropriate system, and escalate safety or capacity exceptions to dispatch.
Property management: keep maintenance owned
A resident, manager, vendor, owner, and on-call technician need different information. Claire can turn an unstructured request into a property- and unit-specific work item, apply emergency rules, coordinate an approved vendor, follow up on silence, and keep the resident informed while a manager retains control of risk and spend.
What buyers should evaluate
Look beyond whether an AI can answer the first question.
The commercial test is whether the workflow can move safely from request to owned outcome.
Operational vocabulary
Does it distinguish a load from a carrier, a unit from a property, a loss from a policy, an off-rent request from an extension, or an estimate from an emergency call?
System truth
Can it identify the source of truth, retrieve authorized context, and perform a tested action without pretending every named platform is integrated?
Exception design
What happens when data is missing, a system is unavailable, no vendor accepts, capacity is full, a policy conflicts, or judgment is required?
Human ownership
Who approves, decides, takes over, and receives the assembled context? Human involvement should be visible instead of treated as failure.
A disciplined starting point
Start with a workflow that has repeated volume and a visible owner.
A strong first deployment has recognizable requests, required facts, written operating rules, available system access, a person who owns exceptions, and a completion state the team can verify. Search language may describe the entry point as an AI receptionist, answering service, maintenance coordinator, dispatch assistant, or check-call tool. Claire should meet that intent, then demonstrate deeper coordination across messages, systems, waits, decisions, approvals, follow-up, and human takeover.
Expansion comes after the workflow is observable. Review incomplete records, incorrect routing, system failures, overrides, customer recontacts, and human escalations before adding more call types or allowing higher-impact actions.
Bring us the work between the call and the outcome.
We will map what Claire can coordinate and where people stay in control.