AI and data help The Doctors Company sharpen its edge

COO Deepika Srivastava on disciplined AI, 50 years of claims data, and keeping humans in the loop

AI and data help The Doctors Company sharpen its edge

Transformation

By Chris Davis

Deepika Srivastava (pictured), chief operating officer at The Doctors Company in Napa, California, doesn’t talk about artificial intelligence (AI) the way most insurance executives do. There are no sweeping promises about transformation and no breathless pivots toward the latest vendor platform. What she describes instead is a decade-long program of purposeful, disciplined innovation, built on the conviction that data is the foundation of everything, and that human expertise is not optional.

“Innovation at The Doctors Company isn’t about technology for its own sake,” Srivastava said. “We work towards touching every lever that drives business performance. It is integral to how we operate.”

The Doctors Company is the largest physician-owned medical malpractice insurer in the United States, serving more than 100,000 members. In medical professional liability insurance, where claims can take years to resolve and a single verdict can run into the tens of millions, the margin for error in underwriting and claims management is exceptionally slim. That context shapes everything Srivastava’s team does. For a closer look at how the country’s top carriers are deploying technology, see IBA’s ranking of top medical malpractice insurance companies by market share.

Re-engineering the underwriting process

Srivastava’s first focus area is risk selection. The company launched a program called Technology Assisted Underwriting (TAU), and the word choice is deliberate. “We purposefully chose the word ‘assisted,’” she said. The program predates the generative AI boom by years and has been running for three, with AI now augmenting its capabilities further.

The problem it was designed to solve was a familiar one in high-volume insurance operations: submission overload. The Doctors Company leads the market in submission volume, and its agent partners were pressing for faster turnaround times. Rather than expanding headcount, the company re-engineered the workflow from the ground up, reducing a process that once required a few dozen steps down to a handful.. The broader industry push toward this kind of streamlined automation is explored in IBA’s recent feature on how AI is accelerating across the insurance industry.

“We didn’t just digitize what existed; we re-engineered it,” Srivastava said. “If a submission doesn’t meet our appetite, we don’t waste underwriting time on it. If it’s something we’ll write all day, every day, we fast-track it. That frees our underwriters to focus on complex, subjective submissions that require their expertise.””

The result is a meaningful reduction in unintended variability in underwriting outcomes, a problem that compounds at scale when straightforward submissions consume the same attention as genuinely complex ones. For brokers and agents placing medical professional liability coverage, faster and more consistent turnaround on submissions directly impacts their ability to book business. Srivastava noted that insurance brokers working in complex specialty lines face similar pressures across other markets, and the appetite for streamlined, tech-enabled workflows is industry-wide.

Fifty years of claims data as a competitive asset

If TAU addresses the front end of the insurance value chain, The Doctors Company’s Augmented Intelligence Data Experience (AIDE),  the company’s proprietary platform, targets the back end: claims, patient safety, and risk management.

The Doctors Company has been in operation for 50 years, and for a medical malpractice insurer, that means something specific: the richest claims dataset in the industry. Srivastava described the company’s data integration philosophy as a deliberate competitive strategy. When The Doctors Company acquires another insurer,  and it has acquired several over the years,  it collapses the acquired company’s technology systems and consolidates all data into a single database.

“Having 50 years of claims data is like a gold mine,” Srivastava said. “When you apply the models we’ve been able to develop, the insights, trends, and patterns that emerge have been remarkable.”

TDC AIDE has now gone live. According to Srivastava, the platform replaces external vendor partnerships, is projected by the company to save millions.  and cuts processing times by 50 percent. It converts unstructured, scanned claims documents into structured information, enabling risk professionals to identify severity drivers earlier in the claims’ lifecycle, critical in a long-tail line of business where claims can take four to seven years to resolve.

“We’re not changing the nature of the business,” Srivastava said. “We’re recognizing severity earlier.” Professionals review, approve, or adjust the AI’s output, and the model learns from their feedback over time. The approach reflects a broader philosophy that Srivastava returns to repeatedly: humans must remain in the loop, as expert judgment matters.

Discipline over noise

Beyond the headline platforms, The Doctors Company has deployed Microsoft Copilot broadly across the enterprise, seeing process step reductions of up to 90 percent in some workflows. But Srivastava is clear that productivity tools are only as useful as the people who know how to use them. The company launched a digital literacy program, grounded in practical skills like prompt engineering, to bring the entire workforce along, from new talent to long-tenured employees.

The discipline she applies to internal initiatives extends to how the company evaluates external partners. With the market saturated by vendors claiming AI capability, Srivastava said domain expertise is her first filter.

“My biggest concern when evaluating partnerships is this: generic AI can lead to wrong answers to the right questions,” she said. “And if a vendor is supremely confident, they have it figured out, how do we even differentiate that we’re getting wrong answers? That’s why domain expertise is non-negotiable.”

She is equally clear that not every idea should be pursued. “It’s not about how many projects you can run; it’s also about how many ideas you can stop. Too many initiatives without focus don’t get you anywhere.” The company sets clear key performance indicators for every initiative. If something is not working, not repeatable, and not governable, it does not advance.

That approach has earned external recognition. The Doctors Company received a Datos Insights 2025 Impact Award for innovation, and AM Best has rated its innovation  as “Significant” for multiple consecutive years. The company has also retained AM Best’s highest possible rating for innovation culture in recent years. Its disciplined use of AI aligns with the broader shift in carrier strategy.

For Srivastava, the challenge facing the industry is not a technology problem, it is a focus problem. Nuclear verdicts, social inflation, structural shifts in medical malpractice, and the increasingly complex healthcare landscape are raising the stakes for every insurer in the market. In this environment, she believes the companies that will lead are those that can convert complexity into a disciplined, measurable advantage.

“There’s so much noise right now that it’s very easy to get lost,” she said. “We are building an enterprise where data, AI, and deep expertise come together to redefine how risk is understood.”

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