Turning AI from Hype into Real Value

June 13, 2025

In the latest episode of Microsoft Innovation Podcast, host Mark Smith chats with Chris Hinch, a Microsoft MVP and ANM’s Microsoft Practice Director, about how to get tangible ROI from enterprise-grade AI, specifically Microsoft Copilot. Here are the takeaways you need:

AI
  1. Solve actual business problems, not buzz
    AI isn’t valuable unless it addresses real challenges. As Chris warns: don’t deploy AI just to keep up, and definitely not to chase headlines.
  2. Reclaim time—it’s the easiest ROI metric
    Copilot can shave off 15 hours of drudge work per month per employee—from summarizing meetings to drafting emails and presentations. That alone can shift your operation from firefighting to focused productivity.
  3. Secure data first, build trust later
    Rollouts flounder if employees feel data risks aren’t addressed. Lay the groundwork with compliance guardrails, governance, and visible protections before use expands.
  4. Start small, prove quick wins, scale fast
    AI adoption isn’t an all-in gamble. Begin with pilot teams, show measurable gains, iterate, then scale. Tiny victories—like automating a repetitive task—carry more weight than big-picture promises.
  5. Measure employee transformation, not feature usage
    Shift from “how often they use it” to “how AI helped them finish work.” The goal is not more output, but output that moves the needle—from surviving weeks to thriving weeks.

How to Apply This in Your Team

  1. Map clear use cases—what tasks bog your teams down?
  2. Pilot and document time-savings—start with a small cohort.
  3. Governance first—ensure data classification, access policies, and visibility are in place.
  4. Communicate wins—celebrate time saved and projects unblocked.
  5. Expand thoughtfully—roll out AI functionality in waves based on business needs.

Why It Matters

  1. Employee morale: Automating repetitive tasks frees up energy and creativity.
  2. Business agility: Faster, data-informed decisions translate to real competitive edge.
  3. Risk reduction: Guarding data early protects you from legal, compliance, or reputational missteps.

Wrapping It Up

To drive real ROI from AI, you need more than tech wizardry—you need a clear link between AI and business outcomes: problem-solving, time saved, risks managed, and adoption driven by trust and empathy.

Want more on making AI work for business, not against it? Listen to the full episode of How to Drive Real ROI with Enterprise AI for deeper stories and strategies.

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