Financial Services, AI-Enablement

How to scale AI in financial services with the right governance foundation

By John Rivers — On July 30, 2026

The pressure is on for financial services firms to embed AI directly into their day-to-day operations. Firms are investing in tools to boost productivity, sharpen client engagement, and accelerate growth. A recent CCAF report shows that 81% of financial services firms are already adopting AI in some capacity, and 52% are actively moving into agentic AI.

Yet despite the rise in AI adoption, firms are still struggling to deploy AI in a way that's trustworthy, accurate, and scalable. In a highly regulated industry with zero tolerance for hallucinations, getting this wrong can create errors in compliance, reputation, and client experience.

Let's unpack why standalone AI often falls short in financial services, and how to build a governed foundation that scales.

Why AI without governance falls short

Most financial services firms already have access to powerful AI models and tools, but struggle to deploy AI across the content, controls, workflows, and business rules that govern how the firm operates.

Deloitte's 2026 State of AI in the Enterprise report found that 84% of companies have not redesigned jobs or the nature of work itself around AI capabilities — most are focused on training people to use new tools, not on rebuilding the workflows those tools sit inside.

Faulty workflows lead to faulty behaviors. When teams are forced to navigate disconnected systems, they can't deliver effective client experiences at scale.

While standalone AI can generate answers quickly, it lacks the business context needed to operate within the policies, disclosures, permissions, and supervisory requirements that govern client interactions. It also doesn't provide visibility into client engagement, or which interactions, recommendations, and actions drive meaningful business outcomes.

According to the CCAF report, more than half of financial services firms (55%) say they struggle to measure the value of AI deployment, highlighting the need to connect AI initiatives directly to business outcomes and execution.

Without proper governance, AI creates operational risk across client-facing workflows, and even small inconsistencies can escalate to compliance exposure, inconsistent messaging, and execution gaps across teams. And when teams can't trust AI outputs, they stop trusting the tools altogether.

How to establish proper AI governance

AI is inevitable across financial services, but will it be properly managed?

Deloitte research found that while 74% of companies plan to deploy agentic AI within two years, only 21% have a mature model for governing those systems.

Firms that layer proper guardrails around their AI — clear content ownership, defined permissions, real-time oversight of what AI can and cannot do — see the strongest, most consistent results.

"Financial services has been operating at the intersection of trust, governance, and human judgment since well before AI came on the scene,"

Dave Myron

SVP of Financial Services and Solutions, Seismic

Regulated content, compliant messaging, approved materials, and audit trails aren't new constraints created by AI, as firms already govern these at scale. The task now is applying that same discipline to AI itself. Here's how:

Treat compliance as a foundation. Before rolling out any new AI tool, test it against four questions: can you capture it, archive it, supervise it, and discover it? Build your governance layer directly into core workflows rather than around them, and use AI-powered pre-checks to help your compliance team focus where it matters most — while keeping human reviewers firmly in control.

Let AI handle the busywork. Allow AI to handle the more tedious parts of the content creation process, while your governed content frameworks continue to supply the structure and controls you depend on. Don't chase speed without that structure, it just moves compliance risk downstream.

Stop managing digital outreach as a patchwork of tools. If social publishing, email, content sourcing, analytics, and compliance review all live in separate systems, connect them. You need all the channels working together, so compliance and personalization are lockstep with each other.

Together, these practices create the governance foundation needed to scale AI confidently across the firm.

Leading firms connect AI with workflows and governance

The firms seeing the most success with AI are moving away from disconnected point solutions. They're shifting toward coordinated execution models that bring together approved content, client context, workflows, and performance signals so teams can act with more consistency and confidence.

“The future of AI-powered financial services will be built on trusted intelligence and delivered through governed, unified, and integrated workflows at enterprise scale.”

Kerry Ryan

Senior Director, Global Financial Services Industry and Product Marketing, Seismic

Seismic Aura AI is driving more effective execution by connecting AI to content, workflows, and governance directly within the flow of work. And because of this:

  • •Client-facing professionals spend less time searching for information and more time preparing for conversations, engaging clients, and following up consistently and compliantly.
  • •Marketing, enablement, and practice mgmt. teams reinforce approved messaging while gaining clearer visibility into what content and engagement are driving results.
  • •Technology leaders can better support AI adoption while maintaining governance, permissions, privacy, and integration with existing systems.
  • •Executive leaders gain confidence that teams are operating consistently across channels and in alignment with firm strategy and compliance requirements.
“Aura AI transforms compliant content and controlled workflows into a strategic growth engine for financial institutions.”

Kerry Ryan

Senior Director, Global Financial Services Industry and Product Marketing, Seismic

To learn more about how Seismic Aura AI helps teams execute effectively before, during, and after every client interaction, visit the Aura AI hub.