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AI in the Digital Workplace: Separating Hype from Reality

AI is transforming how we work—but not all AI is created equal. In a market crowded with bold claims, it's easy to get swept up in the promise of intelligent automation without considering what actually drives value. At Akumina, we believe the future of the digital workplace starts with clarity and ends with outcomes. Here’s how we're separating hype from reality when it comes to AI.

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Cutting Through the Noise

From predictive analytics to virtual assistants, AI is often presented as a magic wand for workplace transformation. The truth? Some tools increase complexity more than productivity. The real question is not "Can we use AI?" but "Where will AI actually help our employees work better?"

Where AI Works: Real-World Impact

At Akumina, we focus on purposeful AI that supports real business outcomes. Our AI capabilities are built into the heart of our employee experience platform, helping organizations:

  • Find content faster with AI-powered semantic search.
  • Deliver personalized experiences based on role, location, and behavior.
  • Automate workflows using intelligent triggers.
  • Support employees in real time through AI-driven chatbots and guided help.

AI in Action: From Promise to Performance

Take our AI-enhanced search, for example. Users can retrieve results from Microsoft 365, ServiceNow, Jira, Box, and more—all within a single, unified search experience. Admins can dynamically manage search sources, promoted results, and metadata filters with instant front-end updates.

We also support AI-assisted automation, enabling intelligent workflows that push relevant data and alerts to users in the flow of work.

Lessons from the Field

We’ve seen customers:

  • Improve intranet search efficiency by 48% through smart content tagging.
  • Cut onboarding time by 35% with role-based personalization.
  • Maintain more accurate knowledge bases using AI-suggested content updates.

Avoid the Pitfalls

While AI has massive potential, there are common traps to avoid:

  • Overpromising features that don’t deliver real results.
  • Relying on bad data that limits AI effectiveness.
  • Deploying AI in silos, leading to fragmented experiences.
  • Ignoring employee trust, which can hinder adoption.

Akumina's Approach: Practical, Integrated, Microsoft-Aligned

Akumina's AI capabilities are secure, scalable, and built for the Microsoft ecosystem. With multilingual content support, adaptive UX, and governance controls, we make AI useful—not burdensome.

Take the Next Step

Ready to see real AI in action?

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