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Bangalore | Zurich
Who can turn the @openclaw open agent enterprise platform into a system your business can actually run on?
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It needs channels your customers already use, wired properly, with identity, consent and handoff designed in. And it needs someone accountable for keeping it patched, measured and improving after go-live.
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Open infrastructure lowers the cost of starting. It does not lower the cost of getting it wrong. The enterprises that win this wave will be the ones that treat the platform as the foundation and the build as the product.
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What does this week's model race between @Google Gemini 4 Argon and @OpenAI Sol 6 actually mean for the agent running in your business?
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That is why we build the system first and keep the model swappable. The agent checks your live business record, takes only the approved action, logs what happened and hands anything uncertain to a person.
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The question worth asking this week is not which model won. It is whether your operation is ready for whichever one wins next.
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What can a WhatsApp AI agent earn back for a European business? 馃 @Karthikeyan S decodes how to build a WhatsApp AI agent for enterprises: what records it must read, what actions it can perform, and what it returns.聽 Read more here 馃憠 zurl.co/Rohbi
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We're entering an agent-to-agent hospitality era: the guest sends their assistant to book a room, and a hotel agent confirms it. So, who's building your agent?
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That shapes what the assistant should do, whether it is bringing together customer history, sending the rate or helping your team follow up.
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The personal-assistant race gives hotels a reason to have their own AI assistants. Their advantage comes from putting what they already know about each customer to work while the next reservation is still taking shape.
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