Most DIY AI projects stall at the proof-of-concept stage. Why? Internal talent shortages, underestimated complexity, compliance hurdles, and soaring maintenance costs.

That’s why more service leaders are rethinking their approach—and turning to purpose-built AI solutions designed for complex service operations.

What’s inside the new guide:

• Why 88% of AI POCs stall before reaching production — and how to break the cycle
• The true cost of building in-house (hint: it’s more than just engineering hours)
• How a blended strategy accelerates results while keeping you in control
• What Gartner and McKinsey recommend for service-specific AI success
  

Considering your next move? Download the new eBook to see which path is right for your organization.