OmniVista partners with leading financial institutions to deliver a support framework that adapts to each client’s unique operating model. By combining deep business expertise with secure, internally hosted AI systems, OmniVista has transformed how financial institutions manage complex workflows across Risk Management, Operations, Treasury, Compliance, Reporting, and Trading.

To meet the demands of 24/7 global support, OmniVista implemented a confidential AI-powered knowledge and ticketing system that automates categorization, accelerates triage, and safeguards institutional data. This initiative redefined how internal teams and client institutions collaborate, learn, and scale securely.

Every financial institution operates differently, especially when it comes to post-trade workflows, reporting requirements, and integration with external data providers:
• Unique Support Needs: Each client’s environment has its own logic, reports, and configurations, making requests highly specific and difficult to standardize.

• Complex Environments: Institutions rely on multiple external systems for pricing, data feeds, compliance, and reconciliation—creating large volumes of confidential information that must remain protected within strict data-governance boundaries.

• Manual Resolution Processes: Without AI assistance, ticket triage and root-cause identification were time-consuming and inconsistent.

• Scaling Risks: Growing institutions needed faster, more intelligent ways to share institutional knowledge without compromising data privacy.

OmniVista needed a solution that could analyze diverse environments securely, adapt dynamically to each client’s logic, and learn continuously—without exposing confidential data to external models or cloud-based AI services.

OmniVista adopted a hybrid human-AI approach, combining institutional expertise with an internally deployed AI framework hosted on its secure infrastructure.
1. In-Depth Environment Analysis
• Conducted full assessments of mappings, services, alerts, and scheduled jobs across client systems.

• Leveraged an internal AI model trained exclusively on de-identified support tickets and knowledge articles to detect recurring incident patterns and optimize escalation logic.

• Ensured data never left the internal environment, maintaining full confidentiality and regulatory compliance.

2. Tailored AI-Assisted Support Framework
• Integrated AI classifiers into the ticketing system to auto-tag incoming incidents by category (e.g., Pricing, FIX, Compliance, Connectivity).

• Used natural language understanding (NLU) to summarize issues, identify duplicates, and recommend related KB articles in real time.

• Applied AI-driven similarity search to map new issues to historical resolutions, improving mean-time-to-resolve (MTTR) across all client environments.

3. Confidential Knowledge Base & Continuous Learning
• Established an internal AI knowledge layer that continuously learns from approved tickets and documentation without accessing external data sources.

• Created institution-specific KBs enriched by AI summarization for quick reference, ensuring teams have accurate insights without exposing private data.

• Implemented strict role-based access controls and data encryption to safeguard sensitive trading, pricing, and operational information.

• Operational Intelligence: The AI-enhanced ticketing system automatically classifies, summarizes, and routes issues—reducing triage time by over 40%.

• Confidentiality by Design: All AI processing is executed within OmniVista’s private infrastructure, ensuring zero data exposure to external models.

• Scalability & Adaptability: The AI system learns from new cases and adapts
documentation recommendations based on evolving institutional workflows.

• Empowered Analysts: Support teams can focus on resolution and client engagement instead of manual categorization or repetitive searches.

• Knowledge Retention: Every resolved issue feeds the AI-driven knowledge base, creating a living repository that evolves securely over time.

“By embedding AI directly within our internal instance, OmniVista preserved the confidentiality of financial data while accelerating response times. Our AI models learn securely from our own history, never from external sources.”
— Mike Aghbabian, Technical Analyst