A leading global property and casualty insurer sought to modernize underwriting and submission workflows across its Business Insurance operations. LTM implemented a unified orchestration platform on ServiceNow FSO, integrating custom applications, AI-assisted operational workspaces, and advanced analytics to streamline exception management, strengthen workflow resilience, and improve operational visibility across complex insurance processes.
Key Benefits
Faster exception and AI agent error resolution: AI-assisted operational workspaces accelerated troubleshooting and remediation across complex BI workflows.
Reduced manual effort in orchestration workflows: Automated exception routing, SLA tracking, and guided resolution minimized operational overhead.
Improved workflow resilience and process continuity: Automated workflow recovery and data integrity safeguards prevented disruptions, duplication, and data loss.
About The Client
The client is a leading global provider of property casualty insurance, serving auto, home, and business customers across multiple markets. As part of a strategic business insurance (BI) transformation initiative, the organization embarked on a journey to modernize underwriting and submission processing across the enterprise. A key component of this program was adopting ServiceNow Financial Services Operations (FSO) as a unified orchestration platform to support scalable, resilient, and intelligent business workflows.
Key Challenges
As BI operations expanded, work orchestration became a shared dependency across underwriting teams, operational units, technology teams, and partner ecosystems. Fragmented workflows and limited operational visibility created inefficiencies in exception handling, process continuity, and issue resolution. Key challenges included:
- Fragmented exception handling across BI workflows
Exception scenarios were managed through siloed and manual processes, leading to delays, inconsistent outcomes, and poor visibility across underwriting models.
- Limited process resilience and continuity
Workflow interruptions and system failures often required manual restarts, increasing operational effort and risking process delays across critical insurance workflows.
- Operational blind spots in AI agent failures
Errors generated by customer-facing AI agents lacked centralized monitoring and structured resolution processes, making troubleshooting slow and reducing confidence in AI-assisted interactions.
- High operational overhead and manual effort
Exception triage, routing, SLA tracking, and resolution required significant human intervention, limiting operational scalability as service volumes increased.
- Limited predictive insights and operational analytics
The absence of real-time dashboards and analytics made it difficult to identify bottlenecks, analyze root causes, and proactively optimize workflows.
- Lack of a scalable, conformant BI-wide architecture
As BI workflows expanded, the platform struggled to maintain architectural consistency and governance, increasing the risk of excessive customization, platform health issues, and scalability constraints.
LTM's Solution
To address fragmented exception handling, limited workflow resilience, and growing operational complexity across Business Insurance workflows, the client partnered with LTM to design and implement a strategic work orchestration solution built on ServiceNow Financial Services Operations (FSO).
- LTM combined sThese tailored experiences aligned with the client’s BI operating model while adhering to platform conformance and health standards.
- The solution introduced a unified orchestration framework designed to centralize exception management, improve workflow visibility, and enable structured resolution of operational and AI-agent–driven errors. AI-assisted operational workspaces provided contextual insights, automated routing, and guided troubleshooting to support faster issue diagnosis and resolution.
- Custom workspaces were designed to provide a single operational cockpit for monitoring exceptions, analyzing AI agent failures, and managing workflow interruptions. The platform also incorporated advanced analytics and process mining capabilities to improve operational visibility and support continuous workflow optimization.
- The program followed an incremental delivery approach using two-week sprint cycles, enabling rapid capability rollout through dark releases for early production validation, followed by structured business releases aligned with user readiness and training.
Key Capabilities Delivered
- Intelligent exception orchestration
Automated routing and SLA-driven handling of exceptions across Business Insurance workflows, supported by contextual resolution guidance and real-time orchestration visibility.
- Unified exception management experience
A centralized operational interface built using ServiceNow UI Builder enabled teams to monitor exceptions, collaborate on resolutions, and manage workflows through a single, intuitive workspace.
- AI‑assisted error resolution for AI agents
A dedicated ServiceNow workspace was designed to manage errors generated by customer-facing AI agents. The workspace provided real-time visibility into AI agent failures, contextual insights, AI-generated summaries, and guided resolution steps to accelerate troubleshooting and cross-team collaboration.
- Seamless workflow continuation
Automated recovery mechanisms enabled workflows to resume from failure points while built‑in data integrity controls prevented loss or duplication of critical operational data.
- Advanced analytics and process mining
Real‑time dashboards and process mining capabilities enabled teams to analyze exception trends, identify bottlenecks, and continuously optimize workflow performance.
- Scalable platform architecture
An AI‑first architecture aligned with ServiceNow conformance standards incorporated reusable frameworks, accelerators, and governance controls, supported by continuous DevOps practices and in‑sprint platform health scans.
Business Benefits
The transformation delivered measurable improvements in operational resilience, efficiency, and scalability.
- Improved operational resilience
Automated exception handling and AI agent error recovery reduced workflow disruptions. - Faster error resolution
AI-assisted operational workspaces accelerated identification and resolution of workflow and AI-agent issues. - Reduced manual effort
Automated routing, SLA tracking, and AI-assisted troubleshooting significantly lowered operational overhead. - Greater scalability
The orchestration framework enabled the organization to absorb growing Business Insurance workloads and AI interactions without proportional staffing increases. - Stronger governance and platform health
Conformant custom application design ensured long-term maintainability and platform stability. - Improved agent and customer experience
Role-based UI Builder workspaces improved usability, operational productivity, and service outcomes.
Conclusion
By implementing a unified work orchestration platform on ServiceNow Financial Services Operations, enhanced with custom applications and AI-assisted operational workspaces, the organization successfully transformed Business Insurance operations.
Fragmented, manual processes evolved into a resilient and intelligent operating model, enabling faster decision-making, improved trust in AI-driven services, and a scalable foundation for continued innovation across enterprise insurance workflows.