In today’s fast-paced financial software landscape, advisors are drowning in data but starving for insights. The sheer volume of market trends, economic indicators, and client information can be overwhelming, making it difficult to extract actionable ideas. As artificial intelligence advances, these challenges are now being turned into unique opportunities. With the help of developers, AI will allow financial advisors to shift their focus from cumbersome data wrangling, number-crunching, and administrative tasks to what truly matters - building strong client relationships and delivering results. In an effort to further explore what the future holds for tooling supported by AI, we’re discussing recent advancements while using our unique perspective and expertise to uncover what could be next.
AI’s Industry Impact: Here and Now
It’s a central theme in every corner of business: how do we make our workflows more efficient? Can artificial intelligence provide us with a solution? How do we keep up with an innovation that is constantly evolving? It can be challenging to address every concern but the constant stream of data isn't slowing down.
As it currently stands, advisors are spending valuable time sorting through the data just to get snippets of what is really needed. They rely on multiple sources, from financial reports and earnings calls to real-time market sentiment and alternative data, to triangulate the value of a stock, portfolio, or other financial instruments. This fragmented approach requires extensive manual effort, leaving professionals with less time to focus on high-value decision-making and client engagement.
Even after this process is complete, it may still feel like advisors don’t have the actionable data they need. Because of the time it takes to gather the meaningful insights, advisors and clients are forced to use price as the proxy. True analysts rely on additional metrics. With AI and automation, the advisor is now empowered to draw those sophisticated insights across the whole portfolio of holdings within a few clicks.
AI has become a gamechanger in a multitude of industries. Teams are using it as a resource tool that can help fuel efficiency.
Algorithmic tools can continuously learn from new data, refining their models to iteratively improve their performance. This ability to adapt to evolving market conditions ensures that businesses can stay ahead in environments where agility is paramount.
While other industries have seen these advancements in AI, tooling is just starting to catch up.
New tools are designed to not only aggregate and analyze data but also provide contextualized insights and suggest potential strategies. Additionally, AI is making financial workflows more dynamic and responsive. Traditional financial models often struggle to adapt to sudden market shifts, but AI-driven models continuously refine themselves based on real-time data, allowing businesses to react swiftly to changing conditions.
We are actively seeing the creation of new tools that can take daily operations to the next level.
The Crossroads of Our Insights
The 28Stone team has dedicated time and resources to understanding the true impact of AI and the multitude of possibilities at which it could be used for new and impactful software. While the abilities of AI and other algorithmic tools are constantly evolving, there are some insights that we found to be quite compelling.
One key challenge lies in the inherently non-deterministic nature of LLMs, where outputs can vary even with identical inputs. To instill confidence in the system, we reimagined traditional quality assurance by combining automated scoring metrics, such as factual accuracy and adherence to financial terminology, with iterative human expert reviews. This dual-layered approach allowed us to refine prompts, adjust thresholds, and ensure outputs like portfolio summaries and client communications consistently met the high standards demanded by financial advisors.
Equally critical was architecting the solution for adaptability. By leveraging tools like AWS Bedrock and LlamaIndex, we ensured the platform could seamlessly transition between LLM providers, from Anthropic’s Claude to Meta's Llama, without disrupting workflows. This modularity not only future-proofs the system against rapid advancements in AI but also optimizes costs and performance. Data security remained paramount: by using base LLM models without additional layers that risk exposure.
There are also tasks that will be more suitable candidates for automation. These typically include tasks involving unstructured data processing, such as summarization of financial reports, extraction of key insights from legal documents, and automated response generation for customer support. Conversely, high-stakes decision-making processes, regulatory reporting, and risk assessment often require human oversight, necessitating hybrid workflows where AI augments rather than replaces manual expertise.
A New Wave in AI Tooling
As we examine what’s next for AI tooling solutions, we are looking at solutions that can take data and turn it into timely actionable insights, and not just for advisors. Solutions that are addressing the needs of the entire team. Insights that can be personalized based on what a team member's daily tasks are and what they need to get out of the data.
Some tasks like generating a letter that can be sent to the client can be achieved through the use of Generative AI. With the right prompt and grounding in facts, a team member can have something prepared in minutes.Some tasks like generating a letter that can be sent to the client can be achieved through the use of Generative AI. With the right prompt and grounding in facts, a team member can have something prepared in minutes.
While this is transformative for an entire team, this transformation is particularly impactful for advisors.
Rather than spending countless hours compiling data, searching for patterns, and drafting reports, they can redirect their focus toward what truly matters - building client relationships and delivering tangible results. Instead of getting bogged down in administrative tasks, advisors can concentrate on strategic planning, personalized recommendations, and fostering trust with their clients.
We are also dedicated to making the integration effort as efficient as possible.To assist in increased productivity, we have ensured that our solution can immediately add value as it is complimentary to systems that are already in place, allowing you to see results right away.
What’s Next For AI-Driven Tools?
Ultimately, we will see various tooling solutions come to market. Due to this, tooling will quickly catch up with the rest of the global industries that have already invested so much into emergent technologies.
However, one critical factor that will determine the success or failure of these AI-driven tools is how organizations manage, structure, and secure data. Poor data practices, such as inconsistent formatting, siloed systems, lack of governance, or outdated infrastructure, can significantly hinder the effectiveness of AI applications. No matter how advanced the tooling, its output is only as good as the data it receives. Enterprises that don’t prioritize efficient data practices will find themselves at a disadvantage, struggling to generate meaningful insights or scale solutions effectively.
The industry will learn, evolve, and innovate through trial and error. Creating more tools will benefit us all as we learn the strengths and weaknesses that AI can offer us. But there are a few things we can be sure of.
As AI-powered tooling continues to evolve, financial advisors are poised to benefit from a new era of efficiency and insight-driven decision making. By transforming overwhelming data into digestible, actionable insights, these solutions empower advisors of all skill levels to focus on what truly adds value - building client relationships and delivering results.
As we watch developments be made, our team remains committed to keeping its finger on the pulse of new AI software, actively exploring innovations and creating opportunities that drive the financial industry forward. At 28Stone, we marry deep capital markets industry expertise with custom software development capabilities, ensuring that the solutions we build are not only technologically advanced but also tailored to the nuanced needs of financial institutions. By leveraging the newest technologies, including AI, we help clients unlock smarter workflows and turn complex data sets into actionable insights. As we do so, we keep in mind that the future of financial advisory isn’t just about having more data, it’s about making that data work smarter.
Stay tuned as we continue to explore the next wave of AI-driven transformation in financial software.
