Webinar on What to Check Before Implementing AI Operators for Call Centers with 6+ Seats

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Despite progress in automating phone responses, many report inbound calls aren't decreasing as expected Driven by labor shortages and the need to maintain service quality, the adoption of AI voice response systems (AI operators / voice bots) in call centers is rapidly increasing. Efforts to automate inquiry handling to achieve both cost reduction and consistent service quality are expanding across industries. In call center operations specifically, expectations for AI operators as a solution to staffing shortages—without compromising service—are rising year by year.

However, companies that have already implemented AI systems often report that 'automation rates aren't increasing as expected' or 'operator workloads haven't actually decreased.' Despite setting up automated systems, many organizations find little real-world change in call volume or handling effort.

The root cause lies in the selection criteria Most of these gaps stem not from the product's technical performance, but from overlooking critical evaluation points before implementation. The approach of 'let's just try automation first' often hides pitfalls that only become apparent later.

To maximize AI effectiveness within limited resources, several key considerations must be addressed before selecting a product. Proceeding with implementation without clarifying foundational questions—such as what outcomes are targeted or how much of actual inbound call content can realistically be handled by AI—often results in ongoing operations that fail to meet expected outcomes.

We'll also share case studies of unsuccessful implementations This seminar will present real examples where AI operator implementations failed to deliver results.

Functionally possible responses don't always align with what customers truly need. Misjudging this can not only prevent the expected reduction in call volume but may even lead to an increase in calls.

Through these real-world examples, we'll explain the three key points to verify before implementing an AI operator.

Additionally, we'll introduce the latest evolution of PKSHA VoiceAgent into a full 'AI operator,' including its new 'multi-turn response' capability—identifying complex customer needs through conversational dialogue that cannot be resolved in a single interaction.

Recommended for - Professionals involved in the operation and management of call centers or customer support - Those considering implementing AI operators (voice bots) or IVR systems - Organizations that have already implemented AI but see lower-than-expected automation rates - Those facing challenges with staffing shortages and recruitment in phone support - Those comparing multiple AI voice response services and seeking clear selection criteria

Organizer PKSHA Technology Inc.

Cooperation Majisemi Inc.

For details and registration, click here.

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Majisemi Inc.

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