NAARU

AI Quote Ops Demo

Automate contractor research without replacing your customer-facing team.

This pitch flow shows how a call center keeps customer conversations human while NAARU AI researches local contractors, calls for quotes, logs every conversation, and prepares quote options for the business to finalize.

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Slide 02

Before and After: Contractor Quote Operations

Before, every customer call creates manual research, quote gathering, and follow-up documentation. After, your team owns the customer relationship while AI researches contractors, calls for quotes, and prepares the options.

Before: Manual Bottleneck

Human intake turns into contractor searches, outbound calls, scattered notes, missed callbacks, and quote details that are hard to retrieve later.

After: AI-Assisted Quote Ops

The human team captures the customer job. AI researches local contractors, calls for quotes, logs every attempt, saves transcripts, and prepares options for business review.

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Slide 04

Contractor Research + Quote Comparison

Compare local contractors by trade, distance, reputation, quote, timing, and notes before the business decides.

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Slide 06

Operational Analytics

Measure research workload, quote coverage, contractor response speed, call volume, and lookup history.

Slide 07

Scale Quote Operations Without Scaling Headcount

More contractor options gathered. Fewer manual calls. Same human customer experience.

Not an AI receptionist.A contractor-calling automation layer.

The human team captures the customer job, then the AI performs structured outbound contractor calls, logs every attempt, confirms availability, and updates the dispatch board. AI is not trying to replace the high-trust customer interaction. It is replacing the repetitive contractor-calling loop.