AI
We focus on the AI initiatives that matter most—deal evaluation, surveillance, client intelligence, operational efficiency, risk, and compliance—and turn them into production‑grade solutions built on strong data foundations, disciplined governance, and clear accountability.
Strategy & Vision
Governance, Risk, & Compliance
Product & Use Case Delivery
Operations & Value Realization
AI Readiness
AI Opportunity Discovery & Prioritization
Business Case & Investment Modeling
Strategy Design & Roadmap Development
Change Management & Stakeholder Engagement
AI Governance Framework Design
AI Risk Management & Controls
Regulatory & Ethical Compliance Readiness
Model Governance & Documentation Standards
Trust, Transparency & Explainability Mechanisms
AI Use Case Design & Feasibility Analysis
User-Centric Design & Agile Delivery Governance
Solution Integration & Deployment
Change Adoption & Business Enablement
AI Operations & Lifecycle Management
AI Performance Monitoring & Value Realization
AI Workforce & Capability Enablement
AI Process & Governance Automation
Eclipse’s AI practice works hand in hand with our Data Management teams to modernize how organizations govern, control, and activate their data. We use AI to unlock insights that create a more resilient and scalable data foundation.
Eclipse integrates AI into enterprise risk programs to improve how institutions identify, measure, monitor, and mitigate risk. AI augments traditional risk frameworks with predictive insights, automated control testing, intelligent monitoring, and adaptive risk signals that help leaders make faster, more informed decisions.
Eclipse applies AI to streamline the end-to-end regulatory lifecycle, from interpretation to execution. Our approach accelerates requirements analysis, enhances impact assessments, automates mapping and evidence gathering, and supports sustainable compliance operations, reducing both cost and effort across regulatory change programs.
Eclipse embeds AI into transformation initiatives to drive efficiency, accuracy, and scale. We use AI to accelerate process discovery, inform operating model design, enhance change management activities, and support technology adoption, enabling organizations to achieve faster transformation with higher quality and measurable value.
