Manufacturing: an AI-assisted quoting workflow

This anonymized example shows how AI-assisted intake and proposal drafting can support faster bid response without removing expert review.

Challenge

The sales team spent hours manually reviewing PDFs, pulling specs, and drafting quotes.

Manual intake from multiple sources Slow handoffs between sales and engineering Quotes inconsistent across reps

Published goal: shorten quote turnaround by 15%+

Maintain accuracy while increasing throughput on high-volume bids.

Solution

We built an AI-assisted intake workflow and integrated it with the quoting system.

AI parsing of RFQs and specification documents Template-driven quote drafts in the CRM Quality checks before final review

Published result: 18% faster response time

Track median response time, review effort, and correction rates over a defined period before making a performance claim.

This published example does not currently include client attribution, project dates, or a measurement method. Confirm the context before treating the figures as independently verified.

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