Resources / Field notes

Strategy · 4 min read

The safe platform choice is the expensive one

Nobody gets fired for buying the big legacy platform. The cost shows up later, in every seam.

EK
Eric KadesCEO and founder, Palera

The most common mistake I see in contact center technology is not bad intent. It is playing it safe.

The decision nobody gets fired for

Most teams buy the big, established platform. It feels safe. It checks the boxes in the RFP. And for a while, it works.

Then the business changes. Customers move to messaging. AI agents arrive. Clients want reporting the platform cannot produce. Every change now needs an add-on, a services project or another vendor.

Legacy platforms cornered themselves

Most contact center platforms were built decades ago around voice. That made sense then. But they were not designed to keep a customer's full journey across channels, and they price by the seat. So you live with fragmented history, channels that do not talk to each other, AI that guesses instead of knows and margins squeezed by seat-based pricing.

Approximate is not the same as good

Every vendor will say they handle customer experience. Technically true, if you accept extra layers, extra integrations, extra charges and extra fragility. Out of the box, most only approximate it.

What a better foundation looks like

  • Messaging and voice on one platform, with one record per customer.
  • Your own AI agents and live agents running side by side, scored on one rubric.
  • Pricing tied to conversations, not seats, so cost follows the work.
  • No third layer to buy, integrate or break.

That is the foundation we built Palera on: the AI agent layer and the contact center layer in one, priced per conversation.

The takeaway

Safe is not the platform with the biggest logo. Safe is the platform that still works the day your customers, your channels and your AI change.

EK
Eric KadesEric ran a 2,000-seat contact center and managed more than 10,000 agents before founding Palera, the contact center platform for AI agents and live agents.

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