Salesforce Summer ’26 expands AI, workflow automation, analytics, and connected data capabilities across the platform at a time when insurance organizations are under pressure to improve responsiveness and reduce complexity. Carriers, MGAs, MGUs, brokers, and reinsurers are balancing rising customer expectations with fragmented technology environments, evolving regulatory demands, and increasingly interconnected workflows across claims, underwriting, billing, and servicing operations.

Salesforce continues investing in Agentforce, Flow, Data 360, and workflow intelligence because insurers are relying more heavily on Salesforce to coordinate operational processes that span multiple systems and teams. Policy administration systems, claims platforms, billing environments, producer management tools, and document repositories have often evolved independently over many years. As a result, employees frequently spend time navigating disconnected systems and manually coordinating information between departments.

Summer ’26 reinforces the importance of alignment across insurance workflows. Organizations preparing to expand automation or AI initiatives should first understand how work currently moves through the business and where friction is slowing responsiveness, servicing, or decision-making.

How should insurers use AI in claims operations?

Claims organizations continue searching for ways to improve responsiveness while supporting adjusters handling growing claim volumes and increasingly complex servicing requirements. Salesforce’s investments in workflow intelligence and connected data create opportunities to improve coordination across intake, escalation management, vendor communication, and servicing workflows.

Many claims operations still depend on significant manual coordination between systems and teams. Adjusters often gather information from claims platforms, policy systems, billing environments, repair vendors, TPAs, customer communications, and document repositories before resolving a claim or escalating an issue. During catastrophe events, these challenges intensify quickly as claim volumes surge across regions and servicing teams.

We frequently see claims organizations struggling with:

• FNOL intake consistency
• Escalation routing
• Vendor coordination
• Reserve adjustment workflows
• Subrogation management
• Litigation support processes
• Workload balancing across adjusters

These processes often involve multiple handoffs and disconnected data sources, which can slow servicing timelines and create inefficiencies.

For many insurers, the greatest opportunity is improving workflow coordination before expanding AI-enabled servicing initiatives. Claims teams benefit from clearer escalation ownership, stronger integration visibility, and more consistent access to policy and servicing information throughout the claims lifecycle.

What slows underwriting workflows?

Underwriting operations continue growing more complex as insurers respond to changing market conditions, delegated authority relationships, evolving appetite guidelines, pricing pressures, and broker servicing expectations.

Many underwriting organizations still manage submission intake through shared inboxes, spreadsheets, and manual triage processes. A commercial submission may move between intake teams, underwriting assistants, pricing specialists, referral authorities, broker communications, and management approvals before a quote is finalized.

Slowdowns often emerge when underwriting data, servicing notes, referral requirements, and pricing information exist across multiple systems and communication channels. These conditions can affect quote turnaround times, workload balancing, broker responsiveness, and submission prioritization.

We regularly encounter underwriting environments where:

• Referral workflows vary between business units
• Submission prioritization depends heavily on manual review
• Approval thresholds are applied inconsistently
• Workflow ownership changes throughout the quote-to-bind process
• Appetite and pricing guidance exist across multiple repositories

Summer ’26 highlights the importance of strengthening underwriting workflow management and operational consistency. Organizations that improve submission visibility, referral management, and workflow coordination will be in a stronger position to support future automation and AI-assisted underwriting initiatives.

Why does insurance data consistency matter more now?

Billing, pricing, claims, and servicing workflows are increasingly interconnected. Salesforce investments in connected data and analytics reinforce the importance of consistent information across policy, billing, claims, and customer environments.

Despite this fact, many insurance organizations continue managing policy data, commission structures, billing schedules, and servicing information across multiple systems that have evolved independently over time. This often creates challenges involving:

• Premium reconciliation
• Installment billing exceptions
• Policy change impacts on billing
• Producer compensation dependencies
• Inconsistent insured records
• Bordereaux reporting complexity
• Delegated authority data aggregation

These issues affect reporting accuracy, servicing responsiveness, workflow execution, and coordination across departments.

Insurance organizations preparing for expanded automation should evaluate whether their data environments support consistent workflows across the value chain. Clear ownership standards, reliable integrations, and shared reporting definitions create a stronger foundation for future AI and automation initiatives.

Insurance workflow governance is a competitive advantage

As Salesforce environments mature, insurers accumulate increasing workflow complexity across all aspects of the business. Flows, approvals, integrations, routing logic, and notifications continue evolving in response to acquisitions, regulatory requirements, product expansion, and operational demands.

Many insurance organizations now operate environments where a single action can trigger multiple downstream automations and servicing actions across several systems and teams.

One pattern we frequently observe is that workflows become critical before governance standards fully mature around them. Over time, this can make troubleshooting, testing, and workflow ownership increasingly difficult to manage.

Strong workflow governance includes:

• Clear ownership structures
• Documentation standards
• Integration monitoring
• Testing discipline
• Dependency awareness
• Exception management processes
• Release readiness planning

Organizations with mature governance practices are able to modernize more efficiently because they have greater visibility into how processes function across the business.

Insurance modernization depends on strong coordination

Salesforce Summer ’26 reflects a broader industry shift toward connected workflows, AI-assisted servicing, and more intelligent workflow orchestration across the insurance lifecycle.

Insurance organizations that improve workflow coordination, strengthen governance, and establish more reliable data environments will be better positioned to scale future modernization initiatives confidently.

At Sikich, we help insurance organizations modernize Salesforce operations, improve workflow orchestration, strengthen governance, and build scalable operational foundations across claims, underwriting, billing, and servicing processes.

Review your insurance workflow modernization roadmap before expanding AI and automation initiatives.