The World Economic Forum
Partnering with global leaders to help shape the responsible and purposeful use of AI.
CCC and the AI Governance Alliance
CCC is a member of the World Economic Forum’s AI Governance Alliance (AIGA), part of the Forum’s Centre for AI Excellence. AIGA brings together leaders from business, government, academia, and civil society to ensure AI innovation is transparent, accountable, and aligned with human and societal values.
Through AIGA, CCC contributes its industry perspective and gains insights that help shape frameworks, policies, and technical standards for responsible AI.
The company also participates in DRIVE-A (Delivering Responsible and Intelligent Vehicle Ecosystems and Autonomy), an initiative of the Forum’s Centre for Frontier Technologies and Innovation (CFTI), exploring the future of vehicle autonomy and the transformation of software-defined vehicles.
Key Initiatives We’re Involved In
AI Transformation of Industries
Accelerating AI-driven transformation to reshape value chains, unlock new business and operating models, and drive innovation, efficiency, and growth.
Safe Systems and Technologies
Advancing safety protocols and shared technical standards to support the deployment of advanced AI systems and agents.
DRIVE-A
Addressing vehicle autonomy and the broader transformation of software-defined vehicles, helping leaders shape technology in ways that are human-centered and society-serving.
Meet Our Participants
Andreas Hecht
SVP, Mobility
Andreas leads the company’s mobility segment and growth strategy, applying CCC’s cloud-based SaaS platform to deliver new value across mobility and transportation. He contributes to the DRIVE-A initiative, focused on the downstream implications of vehicle autonomy.
Reza Rooholamini, Ph.D.
Chief Scientific Officer, Group VP
Reza leads the company’s Innovation and AI organization, directing a diverse team of data scientists, developers, and engineers focused on designing AI-driven solutions that optimize claims, repairs, and customer experiences. He contributes to the AIGA’s Safe Systems and Technologies working group, helping inform standards for safe and trustworthy AI systems.
Kristyn Emenecker
VP, Product Management
Kristyn guides CCC's product strategy and innovation efforts. She participates in the Forum’s AI in Financial Services initiative, which explores how AI is transforming business models and risk management in the financial sector, including insurance.
CCC's Commitment to Responsible AI
CCC's participation in the World Economic Forum reflects its commitment to shaping the future of responsible AI. It also reinforces CCC’s role as a trusted partner to customers and the broader industry, navigating AI transformation — ensuring innovation is not only accelerated but thoughtfully applied, to deliver measurable value.
For more than a decade, CCC has led the development and deployment of AI solutions that help people do their best work. CCC’s work spans predictive, deep learning, and generative AI, with exploration efforts underway for agentic use cases. Today, CCC’s AI-powered solutions help predict vehicle damage and costs, convert damage photos into line-by-line estimates, generate subrogation demands, identify potential injuries, automate total loss predictions, and deliver data-driven insights earlier in the claims and repair process.
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AI Has Moved from Experimentation to Necessity
AI has quickly shifted from curiosity to a core driver of business transformation. This white paper explores how AI is impacting the P&C insurance and collision repair industry today and the governance practices needed to ensure responsible adoption and lasting value.
Amplify Human Potential with AI
In the increasingly complex world of auto claims and repair, AI is a strategic lever for progress.
Advances in vehicle technology and skilled labor shortages are putting tremendous pressure on the industry. Costs are increasing as customer expectations continue to grow and change. On top of all this, the industry is flooded with data. Humans alone cannot sustain the mental load that comes with today’s complexity.