The customer
Name, phone, email, and customer type.
Turn a customer’s explanation into the details your service team needs.
Lacy.ai asks your intake questions, identifies the request, and routes structured context to scheduling, dispatch, or follow-up.
Book a Free 30-Minute Demo →Name, phone, email, and customer type.
Service address, area, and access notes.
Service category, description, and urgency.
Start with the customer’s explanation and identify the service need.
Ask your intake questions to confirm location, access notes, urgency, and other required information.
Organize the details and apply your routing rules so scheduling, dispatch, or follow-up can take the next step.
Example workflow. Actions depend on your connected systems and configured business rules.
Book a Free 30-Minute Demo →Explore six connected views, from call handling to the work that follows.
Track call volume, bookings, lead qualification, and AI phone agent outcomes from one executive performance view.
Build connected workflows that turn phone conversations into CRM updates, follow-ups, alerts, and business actions.
Review every customer conversation with recordings, transcripts, caller context, extracted outcomes, and call-level visibility.
Configure the AI phone agent experience, including voice, model, call handling, behavior, and assistant settings.
Build structured call experiences visually so teams can move faster without custom code for every call path.
Capture structured customer data from every conversation and pass it into prompts, systems, automations, and workflows.
Platform illustrations with sample data. Explore the live platform in your demo.
Listen to real examples of Lacy answering calls, capturing details, recognizing customer needs, and moving each conversation toward the right next action.
Target orders a pallet of ice from SF Ice. The AI Phone Agent naturally confirms the request and applies its trained knowledge of the pallet’s weight and quantity.
Walgreens requests the minimum number of ice bags. The AI Phone Agent uses knowledge base logic to determine the correct quantity and handles the order naturally.
Southwest Airlines orders a pallet of ice and updates the delivery address. The AI Phone Agent reasons through both requests and completes the call in a natural, human-like way.
These are customer calls handled for San Francisco Ice Company. Target, Walgreens, and Southwest Airlines are callers in these examples, not presented as direct Lacy.ai customers or endorsements. Sensitive details may be redacted for privacy.
These are inbound order-handling examples from San Francisco Ice. Your intake and lead workflows are configured around your business and connected systems.
Book a Free 30-Minute Demo →Explore the details that matter to your team.
An illustrative intake record, shaped around the questions your business needs answered.
Lacy.ai asks follow-up questions to complete the request.
Configure required questions, field mapping, and what happens when details are missing.
Appointment interest, callback, or dispatch request.
Give operations the service need, location, urgency, and access notes in one handoff. Apply your routing rules before the work reaches the team.
Available actions depend on your configured systems and business rules.
Keep different intake paths focused and easy for the customer.
Keep the conversation summary and next action with the customer record. Review call outcomes and refine the questions as your operation learns.
Custom intake questions
Service and urgency details
Clear routing rules
Connected customer records
Automated customer intake uses AI Phone Agents to answer customer calls, ask intake questions, collect structured details, classify requests, and move outcomes into workflows.
Lacy.ai automates intake by answering calls, understanding caller intent, asking service-specific questions, capturing structured data, identifying urgency, assigning outcomes, and triggering workflows.
Lacy.ai is built for service businesses and home service companies that rely on phone calls for leads, service requests, appointments, dispatch, support, delivery, and operations.
Yes. Lacy.ai can support intake questions based on your business rules, services, required fields, appointment process, dispatch needs, and CRM structure.
Yes. Lacy.ai can help classify urgency based on the caller’s issue and trigger routing, escalation, dispatch alerts, or callback workflows.
Yes. Lacy.ai can support CRM-connected workflows that sync caller details, call summaries, structured variables, service type, urgency, appointment interest, disposition, and follow-up actions.
Lacy.ai AI Phone Agents can answer customer calls and capture orders while your staff is busy. Configure the required products or service details, quantities, customer information, delivery details and next action. Connected-system actions depend on your implementation; capturing an order request is different from confirming payment, inventory or fulfillment.
The San Francisco Ice recordings on this page show callers placing pallet and ice-bag orders and updating delivery details. These are inbound customer calls handled for San Francisco Ice. Target, Walgreens and Southwest Airlines are callers in these examples, not direct Lacy.ai customers or endorsements.
Define required fields, approved product information, quantity rules, delivery or pickup details and the handoff owner. Test missing information, corrected addresses and unavailable systems. Confirm which actions create an order in your connected system and which send a request for staff review.
Bring your intake questions, routing rules, and systems. We’ll map the details your team needs.
Book a Free 30-Minute Demo →