Mid-market e-commerce manufacturer • Sales, support, and training calls at scale
Total Media Processed
2,182 hrs
Meetings, phone calls, and training centralized.
Time Saved
3,700+ hrs
Versus manual review for meetings & summaries.
Est.Labor Savings
$185K+
Modeled at $50/hr blended rate.
Key Takeaways
- Massive time and cost savings: Automated transcription and analysis saved over 3,700 hours and $185K in labor.
- Instant visibility: Speaker-labeled transcripts and structured AI summaries give leadership real-time clarity on customer conversations.
- Scalable insight delivery: Google Drive and Zapier automations distribute insights across departments without manual work.
- Consistent data quality: Saved prompts standardize summaries and field extraction for accurate trend tracking.
- Partnership over software: Speak AI worked closely with the client to fine-tune workflows, integrations, and cost governance for sustainable scaling.
Overview
US Door & More (anonymized) needed every customer conversation—sales calls, support tickets, and internal trainings—captured, searchable, and translated into reliable, structured data their team could act on. Manual note-taking and inconsistent follow-ups were slowing response times and hiding valuable signals like objections, pricing sensitivity, and product interest by SKU.
With Speak AI, the company centralized more than two thousand hours of calls into a single evidence hub. Accurate transcripts arrive in minutes, standardized summaries are generated with saved prompts, and custom fields map directly to the team’s CRM and BI dashboards. Bulk tagging, advanced filters, and re-analysis allow high-volume upkeep without administrative overhead. Integrations with Google Drive and Zapier automate routing so the right stakeholders get the right context at the right time.
The result: faster coaching loops, consistent follow-ups, and a living library of searchable conversations that compounds in value as it grows—without adding headcount.
The Challenge
- High call volume made manual review, note-taking, and tagging slow and inconsistent.
- Important details (intent, objections, SKUs, next steps) were buried in recordings and ad-hoc notes.
- Routing, organizing, and re-analyzing thousands of files strained existing tools and workflows.
- Leaders needed consistent, shareable summaries and structured fields for coaching and forecasting.
Solution and Workflow
- Centralized conversation hub: Meetings, phone calls, and trainings land in organized folders for instant search.
- Transcripts in minutes: Speaker-labeled, time-stamped transcripts enable same-day follow-ups.
- Saved AI prompts: Repeatable summaries and extraction of fields (e.g., product/SKU, competitor mentions, next steps).
- Bulk control at scale: Advanced filters, batch edits, and one-click re-analysis maintain a clean, consistent library.
- Automated routing: Google Drive and Zapier flows distribute outputs to CRM, support, and leadership dashboards.
- Cost governance: Prompt tuning and file filters keep AI character usage predictable for high-volume operations.
Results
| Metric | Before Speak AI | After Speak AI | Improvement |
|---|---|---|---|
| Review time per recorded hour | ~2.0 hrs of manual note-taking & summarization | ~0.3 hrs of guided QA per hour | ≈85% faster |
| Transcript turnaround | Hours to receive and prep | Minutes with timestamps & speakers | Same-day readiness |
| Analyst capacity | Bottlenecked by repetitive processing | 3,700+ hours freed for coaching & follow-ups | Focus on revenue tasks |
| Estimated labor savings | Labor-heavy manual workflow | $185K+ saved to date | Compounds as library grows |
Methodology: For enterprise meetings and internal summaries we model a manual baseline of 2.0 hours per recorded hour vs. 0.3 hours of AI-assisted oversight. Blended hourly rate $50. Savings per recorded hour ≈ $85. Applied to 2,182 recorded hours to date. Figures are rounded and update as usage grows.
Implementation & Governance Details
- Include/exclude keyword controls ensure outputs align to sales taxonomy.
- Saved prompts standardize summaries and field extraction across teams.
- Bulk actions and re-analysis keep large libraries consistent without manual rework.
- Integrations reduce handoffs and deliver evidence to the right systems automatically.
See the Workflow
Want to evaluate this setup for your team? Book a 30-minute walkthrough or create a free Speak AI account to test with your own calls.
