Polyaire hears every call
and acts on what it learns.

Adelaide HVAC manufacturer Polyaire connected its contact centre and CRM data with NeonNow. Now it knows why customers call, and every single call is quality checked by AI.

In partnership with
A NeonNow consultant and Polyaire's customer experience manager shake hands in front of a live contact centre dashboard
100%

of calls now quality evaluated by AI, with no manual review

Results at a glance

Results within weeks
of go-live.

100%
Calls quality evaluated

971 AI evaluations in 24 days, averaging 92.92%

2.76%
Call abandonment

Against an industry benchmark of 5 to 8%

<1 min
Average speed to answer

In every one of five queues

953
Contacts handled

Across five queues in the first 24 days

At a glance

Company
Polyaire
Industry
HVAC manufacturing and AirTouch smart home controls
Headquarters
Adelaide, Australia
Use case
AI-powered contact centre insights
NeonNow products
NeonNow CX
AWS services
Amazon Connect
Amazon Quick
Bedrock AgentCore Runtime
Amazon Athena

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01
The challenge

Two systems, and no clear view of why customers called.

Polyaire is an Adelaide-headquartered international HVAC manufacturer and creator of the AirTouch smart home air conditioning control system. Its customer engagement team, the Airmates, supports homeowners, installers and trade customers across wholesale, branch and digital channels.

Around two years ago, Polyaire moved its contact centre to Amazon Connect as the first phase of Resolve, a three-phase programme to build an end-to-end customer engagement centre. The second phase, CX Insights, depended on knowing why customers called.

That was hard to see. Agents took calls in Amazon Connect but kept customer records in HubSpot, so staff had to download call data, review recordings and match calls to HubSpot records by hand. Executives were making decisions without reliable evidence of the recurring themes in calls, from onboarding and product support to lead generation.

02
The solution

Connected data, AI insight and a plain-language way in.

Polyaire's Head of Customer Experience, Martin Mueller-Weichert, assessed potential partners and chose NeonNow to deliver CX Insights.

“The NeonNow team asked the right questions and listened until they understood exactly what we needed to learn from our calls.”

Martin Mueller-Weichert, Head of Customer Experience, Polyaire

NeonNow integrated Amazon Connect call data with HubSpot customer records in provisioned data lakes. The NeonNow CX platform used Amazon Quick to identify recurring themes and customer sentiment across every call automatically, and Polyaire rapidly deployed three custom dashboards, including live agent wallboards.

An MCP server built on Amazon Bedrock AgentCore gives executives conversational access to the data, so they can question it in plain language through Claude Desktop. Agents gained a unified workspace that brings calls and customer records together.

NeonNow also introduced automated AI quality evaluations for every interaction, reviewed Polyaire's playbook, KPIs and service level agreements, and recommended best practice to support performance.

03
The impact

Actionable results within weeks of launch.

CX Insights launched on 14 September 2026. In its first 24 days, the contact centre handled 953 contacts across five queues, with average speed to answer under one minute in every queue, compared with roughly 6 to 9 minutes per call before.

NeonNow orchestrated AI completed 971 quality evaluations without supervisors reviewing calls by hand, with an average evaluation score of 92.92%. Call abandonment is now 2.76%, well below the 5 to 8% industry benchmark (ContactBabel, 2025).

“It's not just about what happens before the sale. It's after the sale that customers truly remember you.”

Mike Powrie, CEO, NeonNow

Early in the pilot, connectivity issues rose from around 10% to 45% of early cases. Using the AI logging and testing tools in the NeonNow CX platform, NeonNow and Polyaire traced most of the increase to unstructured product reference material and some confusion during user adoption. Together they updated knowledge base articles and expanded frontline agents' query catalogues, resolving the problem in near real time and avoiding a major escalation.

Polyaire team leads now monitor performance in real time, and executives have greater confidence in customer insights.

”

“For the first time we could conduct detailed per queue agent evaluations for 100% of calls. This was a real game changer.”

Martin Mueller-Weichert
Head of Customer Experience, Polyaire
What changed

From manual matching
to answers on demand.

Before NeonNow
✕

Calls in Amazon Connect and customer records in HubSpot, with nothing joining them

✕

Staff downloaded call data and listened to recordings by hand

✕

Executives decided without reliable evidence of why customers called

✕

Agent evaluations could not cover every call

With NeonNow
✓

Call data and CRM records connected, with themes and sentiment found automatically

✓

Three custom dashboards, including live agent wallboards

✓

Executives question the data in plain language through Claude Desktop

✓

100% of calls quality evaluated by AI, with speed to answer under a minute

Results in detail

Every queue,
measured.

The first 24 days of CX Insights, from 14 September to 7 October 2026, across all five queues.

Metric
Pre AI tooling / CX Quick
Post AI tooling / CX Quick
Improvement
Average handle time, all queues
Baseline
Measured
19% faster
Average handle time, Homeowner queue
Baseline
Measured
13% faster
Average hold time, Homeowner queue
Baseline
Measured
10% shorter
Average queue wait, inbound
Baseline
Measured
33% shorter
Average speed to answer, inbound
Baseline
Measured
36% faster
Call abandonment rate
Baseline
Measured
32% lower
Engagement evaluations
Manual
100% automated
Manual to fully automated
Customer sentiment tracking
Not available
Live on every analysed call
New capability
What's next

Phase two:
AI agents in the IVR.

Polyaire plans to partner with NeonNow on phase two, using Amazon Connect Customer AI Agents to automate repeatable service calls, then looking at long horizon tasks across its manufacturing business.

Phase two scope

✓

Automate repeatable service call drivers in the IVR

✓

Amazon Connect Customer AI Agents

✓

Long horizon tasks to improve cohesion and efficiency across manufacturing

Customer stories

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