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Transforming the Homeowner and Customer Service Experience

Client Partners Transforming the Homeowner and Customer Service Experience

Transforming the Homeowner and Customer Service Experience 

In mortgage servicing, innovation matters most when it shows up in the moments that define the homeowner experience:

When questions arise.
When circumstances change.
When clarity, speed and empathy matter just as much as accuracy.


 Case Study: Government Shutdown 

  • Cenlar’s entry point into homeowner facing genAI began with informational bots.
  • Answering general questions by drawing only from curated, approved content.


In 2025, Cenlar launched
bots focused on:
  • government shutdowns
  • natural disasters
  • deconversion events

Of those affected by Q4 2025
government shutdown,
60 percent did not need further help
72 seconds per conversation


 Case Study: Escrow 

  •  Launched our first authenticated AI bot in February, focused on escrow, a frequent source of homeowner questions and call volume.



 Use Case: Advisor Search – Live AI Support   

Uses AI to interpret the advisor’s question, identify the most relevant document, and deliver a concise, accurate answer while linking back to source material. 


Use Case: 360 Feedback

What It Does

  • Layers AI powered analysis on top of call and chat transcripts

Can ID

  • why homeowners are calling
  • where friction exists
  • what trends are emerging across touchpoints

Enables

  • more proactive issue resolution
  • informed process improvement



Use Case: Live AI Support

Already in place:

Call transcription
Call summarization
Advisor search


Advisor Assist

  • uses real time AI during live calls to provide contextual guidance for advisors

Example:

Homeowner: What are my options if I have an escrow shortage?

AI proactively surfaces relevant procedures and next steps on agent’s screen, without requiring the advisor to search mid call

Advisor Coach

  • Focuses on quality and consistency
  • Monitors
    • sentiment
    • pacing
    • interruptions
    • hold times
  • Advisors receive prompts when interactions drift outside service standards
  • Supervisors can be alerted in real time


The Bottom Line