At our recent Enterprise Summit, Addepar CTO Bob Pisani discussed implementing technology at scale with Antoine Amend, Senior Technical Director, Financial Services at Databricks, and Niema Alimohammadi, Managing Director, Industry Advisor and GTM, Financial Services at Salesforce. The panel discussed the power of a unified platform designed for enterprise workflows and client solutions, the importance of partnering to build a best-in-breed tech stack, and why every technology decision should be considered carefully from the lens of solving business or client challenges. Below are the key themes that emerged from the panel:

Transformation aligned with clear value-add

The ultimate goal of technology modernization shouldn't be "tech for tech's sake" according to our Enterprise Summit panelists. Instead, it should be value-driven, focused on solving key business or human challenges. New technology adoption brings clear, measurable impact, whether through increased revenue, operational efficiency or differentiated client experiences.

Accelerating innovation through partnerships

No single company can help enterprises achieve this level of technological transformation or modernization alone. An "ecosystem play" is essential, where large enterprises partner with integrated tech and data companies in a symbiotic relationship to accelerate innovation. This "better together" approach minimizes handoffs and leverages the strengths of different technologies, getting firms "further faster." 

Our vision at Addepar is one of continued growth and success for our clients, powered by a curated and trusted network of strategic partners, including Salesforce and Databricks. Having these deep partnerships ensures we extend and enhance our platform’s capabilities, and generate exponential value for the clients we collectively serve.

Scaling hyperpersonalization with tech and data

Enterprise banks stand out in wealth management when they focus on tailored advice, personalized services and building lasting client relationships This exclusive service model aims to offer a superior level of sophistication and customization that caters to HNW/UHNW individuals and families. 

True scale in private banking is achieved not just through the number of clients served but by applying technology and data to create operating leverage for advisors to deliver exceptional client experiences. Personalization, or "hyperpersonalization," are seen as key differentiators, yet only possible when an enterprise firm can rely on a robust data foundation and unified platform.

Leveraging AI for further customization

With AI now mainstream, its main purpose is to connect to, understand and process an organization’s data. AI can enable process automation, enhance the client experience and improve risk management. That said, AI is only as good as the unified, clean data it’s trained on. Enterprise firms need sound data governance, data quality frameworks and humans in the loop to leverage AI successfully at scale. 

What does AI for private banks look like in the future? Panelists referred to it as the "blank screen that is fully agentic driven,” where advisors have more time to  proactively plan, assist and provide dynamic experiences for clients

Advisors may be able to leverage AI-enabled tools to further customize client accounts, meeting needs and goals, risk tolerances, and liquidity requirements, as well as optimizing tax outcomes. When properly controlled, offloading this type of analysis to machine learning can free advisors to spend more time face-to-face with clients, marketing and prospecting, engaging in more human-driven planning projects such as estate planning and wealth transfer, and deepening existing relationships.

Overcoming organizational hurdles

The biggest challenges to modernization aren't technical, they are organizational involving governance, mindset and culture. Larger organizations may struggle with letting go of old systems and siloed ways of working, in turn missing these innovation cycles. Summit panelists emphasized there is no "finish line" for modernization — it's a process of continuous evolution, not a transactional project. This pace of change, accelerated by AI, means that enterprise firms must embrace agility and a culture of curiosity or risk being left behind.

Integrating workflows with a unified platform

The ultimate goal is to minimize friction between different technologies by creating a unified platform where analytics, operations and AI work together seamlessly. This means modernizing core platforms to activate and make data usable for advisors and clients, moving away from siloed operations and homegrown solutions.

For large private banks, modernization isn’t measured by how quickly firms adopt new technology, but by how well that technology serves both clients and the business. Real transformation results from value-driven innovation, a strong partner ecosystem and a unified platform that unlocks scale and personalization. With data as the foundation and AI as the accelerator, firms can move faster, deliver more meaningful client experiences and stay ahead in a rapidly evolving landscape. At Addepar, we believe the future of wealth management will be built by those who combine innovation with purpose.

To learn more about how Addepar serves enterprises, visit https://addepar.com/private-bank

Reference: 

  1. 77% of Bank Advisors Plan to Incorporate AI into Their Practice, Cerulli Associates, September 2025.