Make every call count

No. While Engage AI is popular in call centers, it’s also ideal for any professional who talks to customers by phone – such as financial advisors, sales teams, or support staff.

Yes. Engage AI’s tone analysis model has been rigorously tested across a wide range of languages and accents, ensuring reliable performance in most cultural contexts. Engage AI’s speech-to-text model works across most languages . If you’d like details about a specific language or region, just contact us.

Engage AI works with any Jabra headset – not just the Engage series. While optimized for Jabra devices, we also support other headset brands but some might require custom integration.

ClearSpeech is not available on its own. It’s included exclusively as part of the Engage AI package.

No problem. Engage AI comes in two plans: Core and Compete. If you want just tone insights and don’t need speech-to-text, the Core plan is the one for you. It gives you both real-time and post-call tone analysis without transcribing calls.

Engage AI software runs in the cloud and is managed by Jabra. To get started, you simply install a lightweight app on each user’s device which can be easily managed using an MSI package.

Engage AI is primarily cloud-based. Some on-premises storage options may be available. Contact our support team to explore what’s possible.

Call data is captured locally while the call is happening and securely stored in compliance with data protection regulations. By default, data can be stored in either Microsoft Azure data centers in The Netherlands or Deutsche Telekom’s Open Telekom Cloud in Germany. If you prefer, you can store the data in your own cloud environment instead.

Yes. While Engage AI includes rich built-in reporting, it also provides a simple API that allows you to export data for use in your own BI or analytics tools. Contact our support team for access and documentation.

We offer ready-to-use connectors for many popular platforms. If you need something custom, our API makes it easy to build your own integration.

Speech-to-text captures what was said and is valuable for automation, analytics, and customer insights. Tone analysis focuses on how things are said - providing real-time insights into energy, sentiment, and engagement, even across languages.

Engage AI boosts agent motivation by recognizing standout performance in real time – especially valuable for remote work. It also nudges agents when tone dips - such as after lunch - helping them re-engage. Plus, real-time avatars visually reflect conversational tone, so agents gain instant feedback, helping them connect better with customers.

No. Engage AI does not record calls. It analyzes and transcribes them in real time but does not store the call transcriptions. It only stores call summaries, call reasons, call topics, and other key info.

Agents get helpful nudges about things like speaking too fast or slow, long pauses, interruptions, energy levels, or sounding monotoneous?.

Supervisors are notified about patterns in agent performance, call quality issues, audio problems (like background noise), and when coaching might be helpful. These can be based on live calls or trends over time.