Conversational AI from first call to completed service

Help customers book service, prepare for the visit, stay informed, resolve questions, and continue the relationship with AI that understands property and service context, follows approved guidance, completes permitted actions, and works alongside office and field teams across every channel.

Request “My furnace is running, but the house still isn’t getting warm. Can someone come take a look?”
Service window Confirmed
Visit Field visit prepared with the context already captured
Follow-up Next step ready once the visit is complete
Property context
  • Service type
  • Known property context
  • Prior service history
  • Customer preference
Field context
  • Visit requirements
  • Approved service guidance
  • Open work context
  • Handoff notes
ALi prepared

Keep the customer request, property context, scheduling state, and field-service handoff together so the visit starts with the information already captured.

Review next step
CRM Scheduling Field Service Knowledge

One service relationship. Every visit stays connected

ALi carries the request, scheduling context, property history, visit details, and follow-up across conversations so customers do not have to restart the story every time service moves to the next stage.

01
Request
“Something isn’t working properly and I need help.”
ALi can
  • Clarify the administrative need
  • Capture the relevant service context
  • Retrieve approved guidance
  • Prepare the next booking action
Context carried
  • Stated issue
  • Property / service context
  • Relationship history
  • Communication preference
Needs intake Move from problem to a clear next step
02
Book
“I need a visit that works with my schedule.”
ALi can
  • Retrieve eligible scheduling options
  • Preserve stated constraints
  • Prepare the approved booking action
  • Confirm what happens next
Context carried
  • Service need
  • Eligibility / coverage context if applicable
  • Scheduling preferences
  • Prior interaction
Ready to book Reduce scheduling friction
03
Visit
“The technician is coming. I don’t want to explain everything again.”
ALi can
  • Preserve visit context
  • Prepare handoff notes
  • Surface approved service guidance
  • Keep the customer informed
Context carried
  • Captured issue
  • Property / equipment context
  • Appointment context
  • Prior troubleshooting / service history
Ready for visit Start the field visit with context
04
Continue
“The visit is complete. What happens next?”
ALi can
  • Retrieve approved follow-up guidance
  • Prepare permitted reminders
  • Open or update service tasks
  • Carry context into the next interaction
Context carried
  • Service outcome
  • Open follow-up
  • Prior history
  • Membership / relationship context
Follow-up open Keep the relationship connected

Turn service conversations into completed work

ALi Workflow connects the conversation to approved home-service systems, moving from a stated customer need to completed work.

Powered by ALi Workflow
Booking & Dispatch
Systems

ALi Assist for every home-service team

ALi Assist works alongside customer care, booking, field, and follow-up teams in real time, surfacing customer context, signals, and the best approved next move while the human stays in control.

Home Services Human agent
Customer

Type a reply…
Send
ALi Assist
Customer context
    Signals
      Knowledge source ALi Knowledge

      Recommended move

      Approved actions

        See where service friction begins

        ALi Analytics analyzes service language across request, booking, visit, and follow-up conversations to reveal where intake, scheduling, field handoff, and follow-up repeatedly fall out of sync.

          Request Booking Visit Follow-up
        Information gap
        Watch
        Low
        Frequent
        Low
        Scheduling friction
        Low
        Frequent
        Low
        Low
        Context loss
        Low
        Watch
        Frequent
        Watch
        Expectation mismatch
        Watch
        Watch
        Low
        Watch
        Repeat contact
        Low
        Low
        Watch
        Frequent
        Ownership gap
        Low
        Low
        Watch
        Frequent
        “I already explained the issue.” “I can’t find a visit time that works.” “Does the technician know what happened last time?” “I’m not sure what happens next.”

        See where intake, scheduling, field handoff, and follow-up repeatedly fall out of sync across service conversations.

        Evaluate every service conversation at scale

        ALi QA compares the customer conversation with the field handoff to confirm that the important context actually survived the transition.

        Customer conversation

        “The problem started again, and the last visit already covered part of this.”

        • Repeat issue identified
        • Prior visit referenced
        • Scheduling preference captured
        Field handoff
        • Prior service context included
        • Current issue summarized
        • Customer preference preserved
        Quality observation

        Strong continuity. The field team receives the relevant history without asking the customer to restart the explanation.

        Improvement opportunity

        Make the unresolved part of the prior visit explicit before the field handoff is finalized.

        Keep the office and field team in sync

        The customer conversation begins before the visit, but service is delivered across office and field teams. ALi helps preserve the same request, scheduling, property, and service context across both sides of the operation.

        Office
        • Customer request
        • Scheduling
        • Customer history
        • Approved guidance
        Shared context
        • Service need
        • Property context
        • Visit requirements
        • Prior history
        • Customer preference
        Field
        • Work order
        • Visit notes
        • Service outcome
        • Next-step context

        The customer should not have to carry the handoff.

        One customer. Every channel

        Chat, Messaging, Voice, and Email share the same service context so the experience continues no matter where the conversation happens.

        Service context
        • Service request
        • Scheduling context
        • Property / relationship history
        • Visit status
        • Open follow-up
        Status Request in progress
        Chat

        “Service need identified”

        Messaging

        “Visit context confirmed”

        Voice

        “Approved action completed”

        Service context carries across channels, AI agents, and human handoffs.

        Run home-service experiences from ALi Console

        Bring Customer Care, Booking & Dispatch, Field Support, and Follow-Up & Membership together in one operating layer for knowledge, analytics, real-time assistance, workflow automation, and quality.

        Overview
        Workflow
        Assist
        Knowledge
        Analytics
        QA
        Channels
        Integrations
        Home Services — Live Monitored
        Governed experiences
        Customer CareActive
        Booking & DispatchActive
        Field SupportActive
        Follow-Up & MembershipActive
        Service controls
        Scheduling rulesActive
        Approved guidance sourcesActive
        Field proceduresActive
        Membership / plan rulesActive
        Servicing & continuity
        Approved booking actionsActive
        Field handoff preparationActive
        Escalation routingActive
        Human handoffEnabled
        Governance
        QA / evaluationActive
        Approval boundariesActive
        Five modules. One operating layer.
        ALi KnowledgeInforms
        ALi AnalyticsUnderstands
        ALi AssistGuides
        ALi WorkflowActs
        ALi QAImproves

        Measure what matters across the service relationship

        Measure the service relationship across booking, resolution, field experience, and loyalty.

        Booking

        • Booking completion
        • Time to scheduled visit
        • Scheduling conversion
        • Escalation rate

        Resolution

        • Resolution rate
        • Repeat contact
        • Time to resolution
        • Containment

        Field Experience

        • Handoff completion
        • Visit-preparation quality
        • Service follow-up completion
        • Context continuity

        Loyalty

        • Membership engagement
        • Repeat-service relationship
        • Retention / save rate
        • Follow-up engagement

        Transform every service visit

        See how Augmented Labs can help home-service teams connect customer care, scheduling, field operations, follow-up, and every conversation around them.

        Get a demo