{"id":269,"date":"2025-08-13T20:57:58","date_gmt":"2025-08-13T17:57:58","guid":{"rendered":"https:\/\/veridia.com.ua\/shho-kazhe-serednij-biznes-pro-ai-golosovyh-pomichnykiv\/"},"modified":"2026-02-02T20:10:41","modified_gmt":"2026-02-02T18:10:41","slug":"shho-kazhe-serednij-biznes-pro-ai-golosovyh-pomichnykiv","status":"publish","type":"post","link":"https:\/\/veridia.com.ua\/en\/shho-kazhe-serednij-biznes-pro-ai-golosovyh-pomichnykiv\/","title":{"rendered":"How Mid-Sized Businesses View AI Assistants"},"content":{"rendered":"\n

To better understand our audience, we continuously study our potential clients. This time, we focused on mid-sized businesses. Recent in-depth interviews helped us validate some hypotheses about replacing humans in routine customer service tasks – while others were disproven.<\/p>\n\n\n\n

We\u2019re sharing our insights with you because you might also be wondering whether it\u2019s time to introduce an AI Assistant to your business<\/p>\n\n\n\n

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Where Businesses Are Ready to Automate<\/b><\/b><\/b><\/h2>\n\n\n\n

While most respondents still don\u2019t trust bots to handle sales conversations<\/b> – where empathy and objection handling are key – they are open to automating simpler tasks like: <\/p>\n\n\n\n

Outbound reminder calls<\/b> (e.g., appointment confirmations), <\/p>\n\n\n\n

Delivery arrangements<\/b>,<\/p>\n\n\n\n

    Product reservations<\/b> after a human sale,<\/p>\n\n\n\n

Other routine follow-ups.

Phone-based routine tasks still take up 60-80% of managers’ time<\/b>, presenting a great opportunity for CRM integration with voice bots<\/b>.<\/p>\n\n\n\n


Missed Calls = Missed Opportunities<\/b><\/p>\n\n\n\n


Almost every respondent mentioned that missed calls<\/b> often lead to lost business opportunities<\/b>. Common reasons include:<\/p>\n\n\n\n

Peak hours when managers are overloaded,<\/p>\n\n\n\n

Managers juggling calls with other responsibilities.<\/p>\n\n\n\n


Solution:<\/b> A voice bot as a backup on the second line<\/b> can capture basic information, send email or CRM alerts, and ensure no inquiry is left unanswered.<\/p>\n\n\n\n

The Competency Gap – and How to Fix It<\/b><\/h2>\n\n\n\n

Companies where calls occupy up to 60% of staff time often face:<\/p>\n\n\n\n

    Inconsistent or incorrect responses<\/b>,<\/p>\n\n\n\n

    Training gaps<\/b> due to workload pressure.<\/p>\n\n\n\n

This is particularly problematic when:<\/p>\n\n\n\n

There\u2019s no centralized call center<\/b>,<\/p>\n\n\n\n

On-site staff are handling customer calls directly.<\/p>\n\n\n\n

 An AI assistant integrated with a knowledge base or CRM<\/b> can:<\/p>\n\n\n\n

Offload simple inquiries, <\/p>\n\n\n\n

    Free up staff time<\/b> for complex tasks and skill development.<\/p>\n\n\n\n

Is 24\/7 Service Really Necessary?<\/b><\/p>\n\n\n\n

Interestingly, our assumption that clients want 24\/7 support<\/b> was not confirmed<\/b>. For half of the respondents, extended hours were irrelevant, and those offering round-the-clock service reported no overload during off-hours<\/b>.<\/p>\n\n\n\n

Common AI Concerns: Irrelevant Answers<\/b><\/h3>\n\n\n\n

The main concern<\/b> when adopting AI in customer service is receiving irrelevant or “hallucinated” answers<\/b>.<\/p>\n\n\n\n

At Veridia, our bots are designed with\u00a0strict algorithms<\/b>. Their primary AI function is to\u00a0recognize customer intent<\/b>.<\/p>\n\n\n\n

If the bot can\u2019t match the intent to a programmed scenario:<\/p>\n\n\n\n