​AI-Native Expert Services: The Business of Continuous Expertise

​AI is creating an opportunity to build expert service businesses with deeper customer relationships, higher revenue per customer, and an advantage that strengthens over time.

​The opportunity starts with high-value work that customers already pay specialists to perform—work where technical depth, judgment, and accountability matter.

​Consider two examples:

​- Continuous V&V for medical device companies. A startup combines AI with domain experts to provide ongoing verification and validation, becoming embedded in a critical function while developing a deeper understanding of each customer’s products, requirements, and development history.

​- Integrated financial advisory for families with $1 million–$5 million in net worth. A neo-financial startup combines wealth, tax, estate, and insurance advisory into an ongoing service. As the relationship develops, it builds a richer understanding of the family’s finances, goals, and decisions; creating opportunities to deliver increasingly valuable advice.

​Both illustrate a compelling business model: customer-specific data improves the service; a better service earns a broader role; that broader role generates more context and makes the relationship harder to replace.

​AI-native expert services bring together specialist expertise, continuous delivery, and learning within each customer relationship. For founders and investors, the questions are where this model works best—and what makes it commercially durable.

​In this webinar, we’ll explore:

​- Where the opportunity lies: Which high-value expert services are suited to this model?
- What drives customer retention: How does a service become deeply embedded in a customer’s operations or consequential decisions?
- How the improvement flywheel develops: When does customer-specific data translate into better performance and a defensible advantage?
- Why revenue per customer can grow: What supports larger contracts and an expanding scope of responsibility?
- What it takes to deliver: How should AI and human experts share responsibility for quality, judgment, and outcomes?

​We’ll examine the thesis through concrete examples and discuss what distinguishes a promising concept from a business customers will trust with consequential work.

​Presenter:

​Akash Saraf, Founder and CEO of TheAgentic and Sanscritic

​Who should attend

​For founders, investors, and leaders of expert service firms exploring how to build the next generation of high-value service businesses.

​Agenda:

​11:00AM - 11:30AM: presentation

​11:30AM - 11:45AM: Q&A