FRELENZA
AI Automation

HARBOR REALTYINQUIRY ROUTING ASSISTANT

  • Reduce response delays across the customer questions and requests the team handles most often.
  • Improve response speed and routing quality from the first interaction through the right next step.
  • Create a more reliable workflow the team can scale without adding repetitive manual work.

Project Objectives

For Harbor Realty, the objective was to design an automation experience that felt more useful for customers, more efficient for the team, and more dependable as daily volume grows.

Reduce response delays and repetitive manual work around Harbor Realty's most common requests.
Create clearer routing so the right conversations reach the right systems, teams, or next steps faster.
Build an automation workflow that can scale without creating a disconnected customer experience.
Harbor Realty project objectives

Harbor Realty

Inquiry Routing Assistant

The Challenge

Harbor Realty needed a workflow that could do more than automate a single task. The system had to improve speed, consistency, and team efficiency without losing clarity for the user.

The business needed a faster first response so fewer inquiries were missed or delayed during key decision moments.

Harbor Realty project challenge

The Solution

We approached the system as a guided automation workflow, combining conversation design, routing logic, and practical integrations so the experience could stay useful for users and efficient for the team.

Harbor Realty project solution

Conversation & Flow Design

We mapped the most common intents and shaped a clearer path from the first message to the right next action.

The Results

Harbor Realty now has an automation workflow that responds more quickly, removes more repetitive work, and supports a smoother customer and team experience.

We reduced first-response time by

63%

so customers get answers faster and fewer conversations go cold.

We automated up to

78%

of repetitive support questions that previously needed manual handling.

We improved routing accuracy by

39%

with clearer logic that moves requests to the right next step sooner.

We scaled workflow capacity to

3x

without adding the same level of manual operational work.

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