Alex Khoroshchak

Alex Khoroshchak

CoSupport AI
CEO at CoSupport AI
136 points

About

CEO at CoSupport Al and its visionary leader, with 10+ years of experience in building tech solutions that scale.

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Maker History

  • CoSupport AIAI support agents that don’t hallucinate, live in 10 mins
    Aug 2025
  • 🎉
    Joined Product HuntSeptember 4th, 2024

Forums

What should your AI do when it doesn’t have the answer?

As a founder, I ve learned this the hard way.

We expect AI in customer support to always know the answer.

Faster replies. Fewer tickets. Lower costs. Reality is different.

At what point does AI in customer support become a necessity rather than a nice-to-have?

For most teams, it stops being optional the moment support volume grows faster than the team can scale. When repetitive questions start taking up the majority of agent time, response times slip, costs rise, and hiring becomes a constant reaction instead of a plan. That s usually the tipping point.

AI becomes a necessity when customers expect instant answers across channels, when agents spend more time copy-pasting than solving real problems, and when managers lose visibility because tickets pile up faster than they can be triaged. At that stage, automation isn t about replacing people, it s about keeping quality and consistency under control as the business grows.

Will AI agents replace support teams by 2026 or simply become their infrastructure?

I don t think AI agents will replace support teams by 2026. What we re seeing across every company we work with is something different. AI becomes the foundation that handles volume, speed, and routine accuracy, while human teams shift into roles that require context, judgment, and empathy.

Most support leaders tell us the same thing: once AI removes the repetitive load, teams finally have the bandwidth to do the work that actually matters. They solve complex cases faster, focus on relationship-building, and deliver a better experience overall.

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