AI Economics Get Awkward in the Contact Center
Despite the hype, AI agents aren’t always cheaper than humans. This means brands may need to rethink their agentic approach.
Recent Posts
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Beyond the Bot: Verint’s Architecture for Scalable Agentic CX
The release of Agent Factory and Desktop Intelligence expands Verint’s automation portfolio and emphasizes an outcome-oriented go-to-market approach.
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The AI AGENT Act Assumes One Future for AI Agents. What If We Get Another?
Warner’s draft AI agent legislation addresses real challenges around trust and platform access, but bets on one narrow vision of how the agent market will evolve.
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Claude Tag Offers a Glimpse Into the Next Generation of Human AI Collaboration
Anthropic’s Claude Tag offers a glimpse into how humans and AI may collaborate as teammates, and what that means for the future of hybrid contact center workforces.
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AI Agents Enter the Workforce: Takeaways from NiCE World 2026
NiCE isn’t bolting AI agents onto CXone, it’s building the control plane underneath and a new operating model for the hybrid workforce.
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Microsoft Build 2026 Highlights a New Phase for Conversational AI
Microsoft Build 2026 showcased new speech models, agent-first devices, and a vision for the future of ambient AI.
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Opus Research Report: Why Customer Experience Needs an AI Agent Control Plane
New Opus Research report defines the five layers of a complete AI agent control plane, and why no single vendor will deliver it.
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Zendesk’s Big Bet on Owning the Resolution Layer
At the Zendesk Relate 2026 conference, the phrase “Autonomous Service Workforce” not only served as a marketing slogan but also shows how far Zendesk intends to go.
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What Production-Grade Agentic CX Actually Looks Like
Join Opus Research, SESTEK, and Zorlu Energy to learn how orchestrating AI agents, human teams, backend systems, and workflows actually resolve customer issues.
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Beyond AI Agents: Building the CX Control Plane
Join Opus Research and Cyara (June 17th) to talk about the agentic control plane and what it takes to evaluate, govern, and continuously improve AI agents in real CX deployments.