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.
AI reputation workflows
Listen After the Visit.
Follow Through With Care.
Listen to customer feedback, coordinate review requests, and give service concerns a clear next step.
Connect post-service calls to your approved review, recovery, and CRM workflows.
- Post-service feedback
- Approved review requests
- Service recovery handoffs
- Connected customer records
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.
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 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.
How it works
Listen carefully. Give feedback a next step.
01
Ask and listen.
Use an approved follow-up call to understand what went well and what still needs attention.
02
Give the concern an owner.
Capture the concern and service context, then route a callback or recovery task to the right person.
03
Keep the follow-up visible.
Preserve feedback, assigned tasks, and follow-up status in connected records so your team has the context to act.
Example workflow. Actions depend on your connected systems, approved prompts, and configured business rules.
Book a Free 30-Minute Demo →After the visit
Ask. Listen.
Follow through.
Collect feedback, coordinate approved review requests, and act on concerns.
01
Happy-call follow-up
Reach customers after a completed service interaction and capture structured feedback about the experience.
02
Review-request workflows
Trigger an approved review-request action through the connected systems and timing rules your business uses.
03
Service recovery
Route concerns, unresolved issues, or urgent feedback to the right team before the experience is forgotten.
Across your operation
Give every issue an owner.
Keep locations, managers, and customer records aligned.
01
Manager alerts
Notify the responsible employee, location, or department when a conversation needs human attention.
02
Multi-location routing
Apply brand, location, service area, team, and operating rules to each follow-up outcome.
03
Structured reporting
Preserve feedback themes, dispositions, follow-up status, and operational outcomes in connected records.
Make listening visible
A real concern.
A human follow-up.
Give the customer’s question a clear route to someone who can help.
Service recovery
01Concern captured
02Callback assigned
03Human response pending
Illustrative service follow-up
Next action · Assign a callback to the service team
A configured recovery task keeps the concern visible until the team can respond.
Connected systems
One conversation.
A connected path.
- 01
Completed interaction
Service visit, booked job, support case, delivery, or appointment.
- 02
Happy call
AI Phone Agent requests feedback using the approved conversation path.
- 03
Outcome classified
Feedback, issue type, urgency, and disposition become structured data.
- 04
Workflow triggered
Review request, recovery task, alert, or follow-up action runs.
- 05
Record updated
CRM, campaign, task, and reporting context stays connected.
Customer context
Keep the details with the request.
✓Customer, account, and verified contact details
✓Service type, appointment, job, or support interaction
✓Location, technician, team, campaign, or lead source
✓Feedback theme, disposition, and requested resolution
✓Urgency, escalation owner, and callback requirement
✓Review-request, recovery, and follow-up status
From the call to your team
Reputation insight can improve operations
When feedback becomes structured data, the same conversation can inform service recovery, coaching, campaign segmentation, workflow optimization, and customer-experience reporting.
From feedback to insight
01Feedback theme
02Service context
03Follow-up status
Responsible workflow design
Consistent prompts.
Responsible follow-up.
Review and feedback practices should follow the policies, platform rules, and requirements that apply to the business. Lacy.ai helps operationalize the workflow the customer approves; it does not decide those obligations for the customer.
01
Approved prompts
Use consistent happy-call, feedback, review-request, and escalation language that reflects the brand.
02
Timing rules
Apply service completion, business hours, delay windows, campaign status, and contact preferences.
03
Auditable outcomes
Keep call summaries, structured fields, workflow actions, and human follow-up connected for review.
Implementation support
Build around your service process.
Lacy.ai helps map the happy call, qualification fields, review-request path, service-recovery route, CRM updates, campaign logic, exceptions, testing, and reporting before launch.
01
Map the journey
Define when feedback is requested, which outcomes matter, and which path each outcome should trigger.
02
Connect the systems
Configure CRM records, tasks, messaging, campaigns, notifications, and approved review-request actions.
03
Test and optimize
Validate prompts, dispositions, routing, exceptions, handoffs, and reporting using real operating scenarios.
Questions, answered
Reputation workflow FAQs.
What is an AI reputation workflow?
It is a connected process that uses AI Phone Agent conversations and structured outcomes to support happy calls, approved review requests, service recovery, team alerts, CRM updates, and reporting.
Does Lacy.ai monitor and respond to public reviews natively?
This page does not claim native review-platform monitoring or public-response management. Lacy.ai coordinates calls, structured feedback, workflow logic, and connected actions; review-platform activity depends on the systems and processes configured for the deployment.
Can Lacy.ai request feedback after a completed service call?
Yes. A configured happy-call or follow-up campaign can collect feedback, classify the outcome, and trigger the approved next step for the customer and the team.
What happens when a customer reports a problem?
The workflow can capture the issue, urgency, service context, and requested resolution, then create a task, notify the right team, update the CRM, or trigger another approved recovery step.
Can reputation workflows support multiple locations?
Yes. Deployments can apply location, brand, service area, department, campaign, and escalation rules so each outcome reaches the correct team and system record.
Turn customer feedback into a better next action
See how Lacy.ai can connect happy calls, review requests, service recovery, CRM updates, and reputation workflows for your service business.