Polarity, Inc. Cuts Manual Work by 75% and Automates 80% of Calls with echowin
Executive Summary
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Agency profile: Polarity, Inc. builds and trains AI solutions for small businesses that lack in‑house technical teams.
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Core challenge: A service‑based client was drowning in repetitive phone and scheduling tasks, yet had no extra staff.
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echowin’s answer: A no‑code voice AI agent co‑built with Polarity that answers FAQs, books appointments, handles various call scenarios and routes complex calls.
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Measured impact: ~75 % of manual workflows automated, ~80 % of inbound calls fully handled by AI, and 5‑15 labor‑hours saved each week.
The Challenge
Jeremy Ryan, CIO at Polarity, had shipped voicebots before, but prior vendors left him without post‑launch support and forced constant tinkering. His client needed something different: a self‑service voice assistant their non‑technical team could run after hand‑off, without sacrificing reliability.
Why echowin
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Discovered via search and quickly impressed by live product demos.
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Personal attention & support: unlike previous providers, echowin paired Polarity with a dedicated success team.
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No‑code ownership: clients can tweak knowledge and workflows without writing code.
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Unified language model: one model powers phone and web chat, ready to extend to social DMs.
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Faster time‑to‑value: Jeremy estimates a 75 % boost in his own build to deploy productivity by cutting down manual tasks and errors.
Building the Solution
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Rapid knowledge ingestion – Business hours, service menus, and booking rules uploaded in minutes.
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Iterative call‑replay tuning – Polarity and echowin refined responses until the agent aced real‑world simulations.
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Hands‑off launch – The client took ownership via echowin’s dashboard while Polarity moved on to new projects.
Results
|
Outcome |
Metric |
|
Manual workflows automated for clients |
≈ 75 % |
|
Incoming calls fully handled by AI |
≈ 80 % |
|
Owner call time reclaimed (peak season) |
≈ 30 % |
|
Weekly labor‑hours saved |
5–15 |
|
Internal rating for reduced manual work & errors |
4 / 5 |
"echowin helped us simplify the complex and gave my clients something they can actually use every day."
— Jeremy Ryan, CIO, Polarity, Inc.
Favorite Feature
Single Language Model (SLM) across channels - once the voice agent was live, rollout to web chat (and soon social DMs) became plug‑and‑play.
Next Steps
Polarity is expanding the same automation blueprint to chat, text, and social DMs for this client and replicating it for new accounts.
Ready to Automate Your Calls?
Put 80 % of repetitive phone traffic on autopilot in weeks, not months. Request a demo to see how you can build real world solutions with echowin.
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