For years, artificial intelligence (AI) was treated as a pilot project – a promising technology to explore at the edges of business. That era is over. Today, AI has become a necessity for insurers, repairers, and the broader claims and repair ecosystem.
Cycle times, loss costs, and customer expectations are all moving faster than traditional processes can handle. The question is no longer "Should we use AI?" but "How do we apply AI responsibly, at scale, and in ways that drive measurable results?"
CCC's latest white paper, AI Has Moved from Experimentation to Necessity, explores how AI is reshaping the auto claims and repair industry. What once lived on the edge of innovation is now a boardroom priority and a driver of competitive advantage.
Drawing from real-world use cases across estimating, total loss, casualty, and subrogation, it explores how AI is transforming claims and repair workflows today, and what leaders must do to focus their investments to deliver both ROI and trust.
Inside the report, you'll learn:
- Why AI is no longer optional – with data, customer expectations, and productivity demands making adoption imperative.
- How AI is delivering value today – from accelerating claims and repair resolution to capturing smarter insights and delivering more intelligent customer experiences.
- Where the opportunities lie – including productivity, proficiency, insight generation, customer experience, and innovation.
- What responsible AI requires – with governance frameworks that balance speed and safety, supporting responsible AI adoption at scale.
The pace of AI innovation will never be slower than it is today. Don't risk being left behind.
Download the full white paper now to see how AI is moving from promise to practice in the auto insurance and collision repair industry.
For years, artificial intelligence (AI) was treated as a pilot project – a promising technology to explore at the edges of business. That era is over. Today, AI has become a necessity for insurers, repairers, and the broader claims and repair ecosystem.
Cycle times, loss costs, and customer expectations are all moving faster than traditional processes can handle. The question is no longer "Should we use AI?" but "How do we apply AI responsibly, at scale, and in ways that drive measurable results?"
CCC's latest white paper, AI Has Moved from Experimentation to Necessity, explores how AI is reshaping the auto claims and repair industry. What once lived on the edge of innovation is now a boardroom priority and a driver of competitive advantage.
Drawing from real-world use cases across estimating, total loss, casualty, and subrogation, it explores how AI is transforming claims and repair workflows today, and what leaders must do to focus their investments to deliver both ROI and trust.
Inside the report, you'll learn:
- Why AI is no longer optional – with data, customer expectations, and productivity demands making adoption imperative.
- How AI is delivering value today – from accelerating claims and repair resolution to capturing smarter insights and delivering more intelligent customer experiences.
- Where the opportunities lie – including productivity, proficiency, insight generation, customer experience, and innovation.
- What responsible AI requires – with governance frameworks that balance speed and safety, supporting responsible AI adoption at scale.
The pace of AI innovation will never be slower than it is today. Don't risk being left behind.
Download the full white paper now to see how AI is moving from promise to practice in the auto insurance and collision repair industry.
