Financial Narrative Special Report: AI Roadmap for Financial Marketers

A new report from Financial Narrative members and creators of the upcoming AI Certificate Course for Financial Marcomms, in partnership with Boston University's Questrom School of Business, is setting the tone for how financial marketers should approach the era of generative AI—with structure, stakeholder savvy, and strategic depth.

Titled AI Roadmap for Financial Marketers: Where to Start and How to Proceed, the piece draws on perspectives from across the FN community and frames AI not as a novelty but a necessity. The report argues that while many teams have experimented with tools like ChatGPT or Gemini, few have moved beyond surface-level use cases into long-term, integrated strategy. And that, the authors say, is where the opportunity lies.

“The question isn’t whether to use AI—it’s how to use it without compromising brand, compliance, or competitiveness” 

The report introduces a three-tier AI adoption model, moving from basic productivity tools to customized, feedback-driven systems embedded into the heart of financial operations. But getting there, as contributor Dave Blackburn notes, means tackling organizational friction head-on.

“New tech without new workflows just breaks things faster,” Blackburn warns in his article, Getting to ‘Yes’ Within Your Organization. Drawing from both change management frameworks and Noah Brier’s BrXnd AI event keynote, Blackburn urges leaders to look for “friction points” between teams and systems—where humans are stuck copying, pasting, and translating. That’s where GenAI will have the most impact.

Former Assurant exec Linda Recupero adds another layer with a call for inclusive and strategic AI governance. Her framework—anchored in the “Three I’s” of Inclusion, Innovation, and Impact—urges firms to build cross-functional governance committees, draft policy early, and integrate GenAI in ways that support innovation without losing oversight.

And for those wondering whether to build or buy? Zeev Wexler brings the practical playbook. His section outlines how financial institutions can leverage feedback-driven AI systems like Retrieval-Augmented Generation (RAG) to deliver personalized customer experiences, enhance compliance, and build real-time intelligence into every layer of the Martech stack.

The report’s tone is clear: AI is no longer at the periphery of financial comms—it’s the glue. The firms that treat it as a strategic asset, not a side project, will be the ones leading the sector into its next era.

Click here to download the full report

Find out more about the AI Certificate Course for Financial Marcomms, in partnership with Boston University's Questrom School of Business