How can financial services teams scale Salesforce AI effectively?

Much of the discussion surrounding AI focuses on what the technology can do, but the more important question for financial services leaders is whether the organization is prepared to support it.

Salesforce’s Summer ’26 release expands AI capabilities across customer service, workflow automation, analytics, and data management; financial institutions are evaluating where these capabilities can improve service delivery, increase operational efficiency, and strengthen customer relationships.

Financial institutions have spent years modernizing customer experiences. Digital account opening, online lending applications, self-service portals, mobile banking, advisor portals, and omnichannel service models have become standard across much of the industry. However, now AI is bringing attention to a different challenge.

It is revealing how much operational work still happens behind those experiences.

When a customer submits a request through a digital channel, fulfilling that request often requires information from multiple systems, documents stored across different repositories, reviews performed by several teams, and workflows shaped by regulatory requirements. While employees bridge those gaps every day, AI initiatives make those dependencies easier to see because the effectiveness of AI-enabled experiences depends on the operational environment supporting them.

This is why the next phase of modernization in financial services is increasingly focused on operational transformation, with customer experiences, servicing workflows, document management practices, compliance obligations, and information stewardship becoming part of the same conversation.

Salesforce Summer ’26 reinforces this shift.

The hidden work behind the customer experience

Financial institutions have become highly effective at improving how customers interact with the organization. However, the “behind-the-scenes” processes supporting those interactions often evolve more gradually.

A mortgage application may begin through a digital channel, then move through underwriting reviews, document collection, compliance checks, servicing teams, and approval workflows. A relationship manager preparing for a client meeting may gather information from CRM records, investment systems, suitability documentation, prior communications, and servicing history before the conversation begins. An account servicing representative may review multiple systems before responding to what appears to be a straightforward customer inquiry.

While these activities are rarely visible to the customer, they do influence what the customer experiences.

One pattern we see repeatedly is that employees become the connective tissue between systems that were implemented at different times to support different business needs. Information moves because people know where to find it, how to validate it, and who needs it next. This expertise is valuable and critical, but it also highlights opportunities for improvement.

AI readiness often becomes a useful lens for understanding how work moves through your organization.

Information management has become a business-critical operation

One thing financial institutions have never lacked is information.

Customer records, account data, transaction histories, disclosures, communications, servicing interactions, compliance records, lending documents, and advisory materials exist throughout the enterprise. The challenge with all this data involves organizing, governing, and accessing that information effectively.

Consider a servicing workflow: A representative assisting a customer may need account details from one platform, prior interactions from another, supporting documents from a repository, and compliance records maintained elsewhere. The customer experiences a single interaction, but the employee navigates a far more complex environment behind the scenes.

This affects:

• Service responsiveness
• Employee productivity
• Operational consistency
• Customer satisfaction
• Workflow efficiency

Information management is increasingly becoming an operational discipline rather than a technology initiative. The institutions making the most progress with AI have a strong understanding of who owns critical information, how it is maintained, and how it moves across the business.

Document workflows influence more than most leaders realize

Financial services remains one of the most document-intensive industries in the economy.

Many institutions have accumulated document management practices over decades of growth, acquisitions, product expansion, and regulatory change. Records often reside across multiple repositories with different ownership structures, retention requirements, and operating procedures.

The decision itself takes only a small portion of the overall process. Gathering supporting documentation, validating information, locating approvals, and assembling a complete record is what is consuming the most time.

This observation is applicable across:

• Lending operations
• Wealth management
• Customer servicing
• Compliance reviews
• Account maintenance

AI conversations often begin with automation opportunities, but financial services leadership should take a step back before diving in. In most cases, document-intensive workflows reveal some of the most meaningful opportunities to improve operational performance before fully automating a process.

Compliance and operations are closely connected

As one of the most regulated industries in the market, financial services organizations know that these compliance responsibilities exist within operational workflows rather than around them.

A lending review is simultaneously a customer process, a documentation process, and a compliance process. An onboarding workflow supports customer acquisition, regulatory obligations, and information management requirements. Servicing activities frequently involve operational, legal, and customer experience considerations at the same time.

Organizations that scale AI successfully have a clear understanding of these connections.

Building customer trust in financial services

Trust is built through experience.

Customers evaluate financial institutions through thousands of interactions across the relationship lifecycle: account updates, servicing requests, lending decisions, financial guidance, dispute resolution, and document exchanges all contribute.

Many institutions think about trust in terms of security, privacy, or compliance—which is certainly of high importance—but customers also experience trust through responsiveness, consistency, and confidence in the information they receive.

Your employees are influencing those experiences when service teams have access to complete customer context, when workflows support timely decisions, and when information is reliable, customers benefit directly.

This relationship between operations and trust is becoming increasingly important as AI capabilities become part of customer-facing and employee-facing experiences.

Questions financial services leaders should be asking

Salesforce Summer ’26 provides a valuable opportunity to examine the operational environment supporting future AI initiatives.

Leadership teams should consider:

• How much employee effort is spent locating information before work can begin?
• Which customer processes rely on information from multiple systems?
• Where do document-intensive activities create delays?
• How is accountability established throughout key workflows?
• Can critical decisions be traced across the customer lifecycle?
• Which operational dependencies rely primarily on employee knowledge?

The answers to these questions will reveal opportunities that influence service quality, efficiency, governance maturity, and AI readiness simultaneously.

Your ability to scale AI depends on operational transformation

Salesforce Summer ’26 further expands the possibilities for AI-enabled customer experiences and operational efficiency in financial services.

Those that capture the greatest value from these investments are increasingly focused on the operational environments supporting customer interactions every day:

• Information stewardship
• Document management
• Servicing workflows
• Compliance responsibilities
• Employee experiences

Each of these influences how effectively AI can be applied across your business.

Financial services organizations have spent years transforming customer experiences, but the next stage of modernization is centered on the systems, processes, and responsibilities that support those experiences.

At Sikich, we help financial services organizations assess AI readiness, strengthen information governance, modernize Salesforce operations, and build strategies that support growth, compliance, and customer trust.

Assess your AI and data governance readiness before scaling Salesforce AI initiatives.