Did you know that “by 2025, the global artificial intelligence (AI) market in the insurance
industry is expected to reach a whopping $10.8 billion?” This comes as no surprise as insurance
companies are always on the lookout for ways to streamline their operations, reduce costs, and
improve customer experience. And AI and machine learning (ML) are proving to be game-changers in
achieving these goals
The AI/ML-driven insurance companies can:
- Automate their underwriting and claims processes
- Detect and prevent fraud
- Personalize their offerings to customers
This not only saves time and money but also improves accuracy and efficiency, leading to better
customer satisfaction and retention. But how do you target these insurance companies that are
already using Al and ML? This is where a BFSI-focused org chart comes in handy.
The actionable insights of the org chart map out:
- Organizational structure and solutions
- Key decision-makers and influencers
- Hierarchical order and reporting lines
- Their requirements & buying preferences
- Multi-channel sales path within the organization
By understanding the organizational structure of these companies, you can identify who to
approach and how to pitch your Al and ML solutions.
For example, if you're offering an Al-powered fraud detection system, you can target the fraud
investigation team or the chief risk officer. If you're offering a chatbot for customer service,
you
can target the customer experience team or the chief marketing officer. By having a clear
understanding of the organizational structure, you can tailor your messaging and approach to
each decision-maker, increasing your chances of success.
In conclusion, targeting insurance companies that leverage Al and ML is a smart business move.
With a BFSI-focused actionable org chart, you
can effectively navigate the organizational
structure of these companies and pitch your solutions to the right decision-makers. So, what
are you waiting for? Start targeting these companies today and reap the benefits of Al and ML
in the insurance industry.