Reimagining Insurance with AI: Insights from StitchStudio Advisor Bram Spector
In a recent StitchStudio Advisor Series conversation, we sat down with a seasoned insurance executive to unpack how AI is evolving across underwriting, claims, and the broader insurance value chain—and what it will take to move from experimentation to real operational impact.
A Strategic Perspective on the Future of Insurance Operations
As AI adoption accelerates across the insurance industry, many organizations are still navigating where and how it creates real value.
To bring clarity to that conversation, StitchStudio is working closely with industry leaders who have operated at the highest levels of insurance. One of those leaders is Bram Spector, a strategic advisor to StitchStudio with over two decades of experience across group insurance, employee benefits, and carrier operations.
His perspective reflects a consistent theme:
The opportunity for AI in insurance is real—but it must be grounded in how work actually gets done.
Why Bram Spector Joined StitchStudio
Bram’s career spans carriers, consulting, and executive leadership roles, with a focus on improving how insurance businesses operate and deliver value.
What drew him to StitchStudio was a shared belief:
The biggest opportunity in insurance is not just adopting AI—but applying it in a way that improves real workflows and customer experience.
He specifically highlights the importance of combining:
- Deep insurance domain expertise
- Practical understanding of workflows
- The ability to apply AI to real operational challenges
This alignment between technology and business context is what he sees as critical—and often missing—in the current AI landscape.
Looking Ahead: The Role of Advisors in Shaping the Future
As a strategic advisor, Bram plays a key role in helping shape how StitchStudio approaches the market.
His focus is not just on technology—but on ensuring that:
- Solutions are practical
- Workflows are accurately represented
- Outcomes align with real business needs
This type of guidance is critical as the industry moves from:
- Experimentation
> To execution
>> To scale
FAQ: AI in Insurance (Advisor Perspective)
What is the biggest challenge with AI in insurance?
The biggest challenge is applying AI within real workflows. Many solutions fail because they don’t align with how work is actually performed.
What is the “last mile” problem in insurance?
It refers to the gap between systems and execution—where manual processes and data movement still dominate.
Where does AI deliver the most value in insurance?
In workflows that are manual, repetitive, and span multiple systems—such as underwriting and claims.
How should insurers start using AI?
Start with a small, high-impact use case, validate results, and expand incrementally.
Why is domain expertise important for AI in insurance?
Because insurance workflows are complex, and AI must reflect real processes, rules, and decision-making environments to be effective.
Closing
Bram Spector’s perspective reinforces a critical point:
AI will not transform insurance through experimentation alone.
It will transform insurance when it is applied to the work itself—
connecting systems, reducing manual effort, and enabling teams to focus on what matters most.
