Key Insights from the 2026 T3 Conference

[The recent T3 WealthTech Conference in New Orleans, organized by Joel Bruckenstein, was an important event bringing together and creating a financial industry ecosystem of fintech leaders, advisors, social media gurus, and industry executives. While there has been very good reporting on the speakers and key themes discussed, we asked Institute Founding member Kristian Borghesan, CMO of FutureVault  –  an award-winning white-label, AI-Powered Client Life Management Digital Vault™ platform and early pioneers of the Intelligent Document Processing solution for financial institutions – to provide us with a conference participant review from his perspective as a fintech principal and leader.]

The 22nd annual T3 Technology Conference — formally known as Technology Tools for Today — returned to New Orleans this past March with a clear message for the wealth management industry: the conversation around technology has crossed a threshold. Held at the Hyatt Regency under the theme “From Noise to Knowledge: The FinTech Playbook for 2026 and Beyond,” T3 drew together financial advisors, enterprise decision-makers, fintech founders and operators, and platform architects for four days of sessions, product launches, and meaningful conversations with the people building the tools shaping the industry.

What distinguished this year’s conference from prior years was not the volume of announcements — though there were many — but the shift in tenor. Where past T3 gatherings debated whether AI belonged in advisor workflows, this year the question was simply: how fast, and how well?

Below are my five top key insights and highlights that emerged at this year’s T3 conference.

1. AI Has Moved from Experimentation to Operating Infrastructure

The single most consistent thread running through the sessions, keynotes, and exhibition hall conversations at T3 2026 was that AI is no longer a feature set or capability firms are evaluating — AI is becoming a core part of the architecture that enable firms to operate and drive the business.

In his opening remarks, T3 founder Joel Bruckenstein framed it plainly: the structure of an advisory firm will look significantly different over the next several years, and the skill sets firms need will change accordingly.

This sentiment was echoed across the exhibit floor and in the general sessions, with advisory firms acknowledging that their firm’s technology is either outdated or in need of meaningful upgrades, with AI implementations and integration of AI technologies being one of the biggest sources of frustration.

At the same time, firms and advisors are now openly expressing confidence that AI will lead to significant outcomes and help drive growth for their business — provided governance and guardrails are in place that give them the control they need with respect to final decision-making.

And lastly, one of the biggest shifts is moving from generative AI (tools used to generate content) to agentic AI — systems that can carry out multi-step tasks across platforms with limited human prompting. For the industry, this means AI has graduated from being considered an add-on and is becoming a major connective tissue of how work gets done.

2. The Debut of AI University Set a New Standard for Practical Education

One of the most talked-about additions to T3 2026 was the inaugural AI University, held on day one of the conference. Rather than a series of vendor pitches or high-level panel discussions, AI University was structured as a full day of hands-on workshops led by industry leaders and working practitioners — what the conference called its “faculty.”

Craig Iskowitz of Ezra Group walked attendees through building custom AI agents using standard large language model (LLM) interfaces, demonstrating live integrations between advisor tools without requiring any prior coding experience.

Victoria Toli of FINNY AI showed how AI can surface money-in-motion signals from publicly available data and build targeted outreach sequences.

John O’Connell of The Oasis Group took attendees through practical AI use cases spanning the full advisor workflow — from prospect portfolio evaluation through annual client review — and was candid about where current tools fall short and how to manage their limitations.

Petar Vukasinovic of Agilno walked through and showed attendees how AI can act as a predictive layer for advisors, surfacing signals from CRM data, monitoring documents inside systems like FutureVault, and highlighting emerging client needs before an advisor walks into a meeting.

3. Platform Foundation and Document Infrastructure Are the Real Competitive Differentiators

Beneath the dozens of announcements and demonstrations, a very significant and consequential conversation took place at this year’s T3: the firms best positioned to capitalize on AI are the ones deliberately investing in getting their platform foundation and architecture right.

This is not a new focal point whatsoever, but it is something that has certainly landed with greater urgency this year. The reality is this: the firms that ignore making an investment in their architecture and foundation will undoubtedly find the gap harder to close.

At the very center of this conversation are documents and the acknowledged notion that documents are far more than static records. Documents are, in many ways, the lifeblood of the enterprise and where client relationships are often defined, obligations are established, and firm knowledge is maintained.

Investment policy statements, account statements, trust documents, agreements, planning summaries, compliance filings — the data inside these documents is rich with context that power AI systems, provided the underlying document infrastructure is secure, structured, accessible, and governed with the right enterprise permissions and role-based controls.

Firms that have treated document operations and handling as an administrative and compliance function rather than an imperative and strategic growth lever are discovering that this is precisely where AI-driven workflows break down. Getting the document layer right is not a prerequisite for adopting AI in theory; it is a prerequisite for getting real, measurable value from it in practice.

4. Investment Management and Wealth Management Are Converging — and Advisors Are Positioned to Benefit

One of the more substantive business strategy discussions at T3 came from Patrick Shaddow, President and CEO of Syntax Data, who made the case that the traditional separation between investment management and wealth management is dissolving. His argument was pointed: because custodial technology has matured, infrastructure costs have dropped, and fractional share trading is now standard, the technical gap between large asset managers and independent advisors has closed in meaningful ways.

The implication for advisors is significant. Managing assets in-house — rather than outsourcing to third-party managers and absorbing their fees — is now operationally viable for firms that previously lacked the resources to do it. Shaddow characterized this as a “multiplicative” rather than an additive advantage. Advisors who can demonstrate in-house investment capabilities build stronger brand differentiation, reduce fee drag for clients, and are better positioned when managing inherited assets with next-generation clients who are evaluating their options.

Syntax Data also used T3 to launch Saidee, an AI agent built for portfolio development and index creation, designed to give advisors a conversational interface for building rules-based, customized portfolios at a level of accessibility that was previously limited to institutional players.

5. Advisor Caution Around AI Is Legitimate — and the Industry Is Starting to Respond

While the energy around AI at T3 was high, seasoned attendees and practitioners were also clear-eyed about what still needs to be worked out. Advisors’ primary concerns center on data security, client privacy, and governance and compliance — areas where regulatory guidance from the SEC remains limited. Kwanti’s leadership, for instance, described deliberately slowing the rollout of AI-generated portfolio insights to ensure they were being thoughtful about reliability and compliance exposure rather than simply deploying the technology because it was available.

This caution is not resistance to change. It reflects the reality that advisors are fiduciaries, and the stakes of a poorly governed AI output are meaningfully different than in other industries.

The industry’s response at T3 to this caution was encouraging: The Oasis Group launched its AI Readiness Index, a structured assessment built around 70 questions covering governance, data quality, compliance readiness, and technology maturity. The tool is weighted more heavily toward governance than technology capability — a deliberate signal that having the right policies and guardrails in place matters more than which tools a firm has deployed. For firms trying to move from curiosity to committed adoption, that kind of structured framework offers a credible starting point.

Closing Note

T3 2026 made one thing clear: this is no longer an industry deciding whether to engage with AI. It is an industry sorting out how — and the firms that will come out ahead are those investing as seriously in the underlying infrastructure, governance, and document foundations as they are in the tools sitting on top of them.

The conference, as it has for more than two decades, served as the clearest available signal of where the profession is heading and what it takes to stay ahead of the curve.

This article was originally published here and is republished on Wealthtender with permission.

About the Author

Bill Hortz

Founder Institute for Innovation Development

Bill Hortz is an independent business consultant and Founder/Dean of the Institute for Innovation Development- a financial services business innovation platform and network. With over 30 years of experience in the financial services industry including expertise in sales/marketing/branding of asset management firms, as well as, creatively restructuring and developing internal/external sales and strategic account departments for 5 major financial firms, including OppenheimerFunds, Neuberger&Berman and Templeton Funds Distributors. His wide ranging experiences have led Bill to a strong belief, passion and advocation for strategic thinking, innovation creation and strategic account management as the nexus of business skills needed to address a business environment challenged by an accelerating rate of change.