Thought Leadership

AI in Action: How Insurance, Healthcare, and Legal Firms Can Capture Real ROI from Artificial Intelligence: Insights from McKinsey’s 2025 State of AI Report

According to McKinsey’s 2025 State of AI report, 75% of organizations now use AI in at least one business function, but fewer than 20% have achieved enterprise-wide impact. Why? Because AI tools alone don’t drive ROI; redesigned workflows and smarter process automation do.

Key Findings

  • More than three-quarters of organizations say they are using AI in at least one business function.

  • The use of generative AI (gen AI) is rapidly increasing.

  • The biggest factor correlated with bottom-line impact from gen AI is redesigning workflows; i.e., how companies change how they work, not just what tools they deploy.

  • Governance matters: companies where CEOs oversee AI governance (or where governance is elevated) tend to report stronger results.

  • Still early days: despite high adoption, most companies have not yet achieved meaningful enterprise-wide bottom‐line impact from gen AI.

  • Risk management is becoming more important: organizations are increasingly managing risks like inaccuracy, IP infringement, cybersecurity & privacy.

  • Workforce shifts: for companies using AI, many expect more hiring/reskilling of data scientists, prompt engineers, ethicists etc.

Implications for Businesses

  • Scale vs Pilot: Many firms are still in pilot mode. The real value comes when AI is embedded into business processes, not just isolated use cases.

  • Leadership & Governance: Having senior-level accountability (e.g., CEO oversight) for AI helps translate adoption into value.

  • Workflow redesign: Changing how work gets done is critical; simply layering AI on top of existing workflows is less effective.

  • Risk & trust: As AI becomes more central, managing risks (data, IP, accuracy, compliance) and building internal trust is essential.

  • Skills & organization: Businesses need to think about how teams are structured, what roles are needed, and how workflows will change.

  • Be realistic on ROI: Adoption is high, but enterprise-wide ROI is still lagging; the competitive edge will go to those who move from experimentation to scaling.

That insight has profound implications for three service-based sectors:

Medical Practices

Challenge: Staffing shortages, patient no-shows, rising operational costs.

AI in Action:

  • Automate patient intake and reminders via voice + text AI agents

  • Use AI to manage claims follow-up and appointment scheduling

  • Improve patient experience with 24/7 responsiveness

Result: Practices that integrate workflow-level AI (not just bots) reduce no-shows by up to 30% and improve admin efficiency by 40%.

Insurance Agencies

Challenge: Lead leakage, slow response times, poor data visibility.

AI in Action:

  • Use conversational AI to qualify and route inbound leads instantly

  • Automate renewal reminders and upsell workflows

  • Deliver human-like follow-up using personalized voice AI

    Result: Agencies using integrated AI report 25–35% higher lead-to-policy conversion and stronger retention.

Result: Agencies using integrated AI report 25–35% higher lead-to-policy conversion and stronger retention.

Law Firms

Challenge: Missed intake calls, slow follow-up, long case cycles.

AI in Action:

  • Deploy AI agents for 24/7 client intake and case prequalification

  • Use AI-driven scheduling to manage attorney time more efficiently

  • Capture every lead from ads, calls, and web forms

Result: Firms using AI-powered intake automation close up to 40% more viable cases and reclaim thousands of admin hours.

The Big Lesson

AI doesn’t replace your team… it rewires how your business captures value.

Organizations that reimagine workflows - not just deploy tool… are the ones capturing measurable ROI.

Ready to Scale Your Business?

Book a quick 15-minute call to see how our Evolve AI agents can transform your lead generation and operations.

© 2025 Intelligent Voice AI™