AI-POWERED OMNICHANNEL SERVICE

One Customer Story. Every Next Step Connected.

Connect phone intake to your approved CRM, scheduling, messaging, and service workflows. Available actions depend on your configured systems.

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Real AI Phone Calls

Hear how Lacy handles real service business calls for San Francisco Ice.

Listen to real examples of Lacy answering calls, capturing details, recognizing customer needs, and moving each conversation toward the right next action.

Target logo

Target pallet order

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 logo

Walgreens ice order

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 logo

Southwest Airlines order

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 call and appointment workflows are configured around your business and connected systems.

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CaptureUnderstand the request
ShareCarry the context forward
ContinueConnect the next conversation
WHY IT MATTERS

Keep the details together as the work moves forward.

Customer context

Capture the service need and relevant details during the customer call.

Team handoffs

Send the request and its context to the right team and connected systems.

Connected follow-up

Use available context to help the next conversation start from the right place.

HOW IT WORKS

One request. Context that stays connected.

01 / THE NEXT STEP

Capture the customer story.

Capture the service need and relevant details during the customer call.

02 / THE NEXT STEP

Pass the details forward.

Send the request and its context to the right team and connected systems.

03 / THE NEXT STEP

Keep the next step connected.

Use available context to help the next conversation start from the right place.

Example workflow. Actions depend on your connected systems and configured business rules.

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EXPLORE THE PLATFORM

See the tools behind every conversation.

Explore six connected views, from call handling to the work that follows.

Call Performance

Track call volume, bookings, lead qualification, and AI phone agent outcomes from one executive performance view.

Platform illustrations with sample data. Explore the live platform in your demo.

Platform illustration
DESIGNED AROUND YOUR BUSINESS

Connected systems, ownership and operating rules

Explore the details that matter to your team.

One request. Context that stays connected.

Record the caller’s need and relevant details so the next step starts with useful context.

Connect the request to the right record, workflow, or team through your approved systems.

Help the team follow through with the available context, while configured updates preserve the outcome.

Different tools. A connected conversation.

AI-powered omnichannel service connects customer conversations to the people, systems, and next steps that keep work moving. Instead of treating every call, message, or follow-up as an isolated event, an omnichannel approach preserves useful context and routes the request into an approved workflow.

Capture the request

It uses automation to capture customer intent, organize conversation details, and connect those details with the systems a business already uses. Depending on the approved setup, that may include phone conversations, web inquiries, email follow-up, CRM records, scheduling tools, and internal alerts.

Keep the business in control

The AI layer can help classify the request, capture structured information, and trigger a defined next step. The business remains in control of what the system may do, which data it records, and when a person must review or take over.

Help customers pick up where they left off.

Lost context

A customer should not have to repeat the same request every time a conversation moves between channels or teams.

Inconsistent intake

Structured questions and required fields help teams receive clearer, more complete requests.

The details arrive. The team is ready.

Capture the reason for the call and the information your team needs. A connected handoff helps the next person continue with useful context.

Make the handoff easier to act on.

Delayed handoffs

Approved routing rules can move the right details to scheduling, CRM, alerts, or a person sooner.

Disconnected reporting

When conversations and outcomes connect, teams can evaluate service demand and follow-through with verified data.

Start with the call. Connect what follows.

Lacy.ai helps service businesses connect customer conversations with the workflows that follow. An AI Phone Agent can answer inbound and after-hours calls, capture the purpose of the call, collect structured details, qualify the request, and route the next step into connected business systems.

Keep existing service platforms in place. Configure which actions Lacy.ai may trigger, which systems receive the details, and when a person takes over.

A returning customer. A more informed response.

When the connected records provide the relevant history, your team can carry the request forward with the details already captured.

Use the systems your team already knows.

Connect conversations with approved CRM, scheduling, communications, commerce, and automation workflows. Availability depends on the permissions and configuration of each system.

A repeatable request. A measurable outcome.

Connected conversations can support home-service teams managing new requests and after-hours calls, property and logistics teams routing status or exception requests, B2B service businesses qualifying demand, and support teams that need consistent intake before escalation.

The strongest opportunities have a clear conversation, a repeatable set of required details, an approved destination for the next step, and a measurable outcome the team already cares about.

Define the scope before you connect.

Scope

Which channels and request types should be included first?

Intake

Which details are required before a request can move forward?

Boundaries

What may be automated, and what requires human review?

Make ownership clear from the start.

Escalation

Which situations must move immediately to a person?

Systems

Where should records, bookings, alerts, and outcomes live?

Measurement

Which verified outcomes will show whether the workflow is improving?

Coverage at a glance

Structured phone intake

Connected customer context

Approved system handoffs

Clear human escalation

QUESTIONS, ANSWERED

Frequently asked questions.

Does omnichannel mean every interaction must happen in one app?

No. The important requirement is that approved channels and systems can share the context needed for the next step. Specialized tools may remain in place.

Can AI resolve every customer request?

No. A responsible design includes escalation rules, approval gates, and clear boundaries for situations that need human judgment.

How does an AI Phone Agent support omnichannel service?

It can serve as an intake layer for phone conversations, capturing intent and structured details, then routing the request into an approved workflow.

What should a service business measure?

Depending on the verified data available, teams may review qualified conversations, bookings, completed handoffs, response and follow-up activity, and exceptions that require attention.

SEE LACY.AI IN ACTION

Keep the context. Move the work forward.

Plan a connected customer workflow around your systems, permissions, and operating rules.

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