GLASS PRISM, developed by Ortec Finance, is a next-generation Strategic Asset Allocation (SAA) optimization tool powered by its Scenario-Based Machine Learning (SBML) methodology. It enables insurance asset managers to use market leading technology to provide enhanced services to their insurance clients and drive AuM.
Why It Matters for Insurance Asset Managers
In a world of volatile markets, evolving regulation, and multi-dimensional objectives, insurance asset managers need tools that can handle more than just return and risk for their clients. GLASS PRISM uses thousands of simulated economic scenarios from our GLASS ALM platform to “train” machine learning models to optimize asset portfolios on various objectives and constraints such as:
- Solvency and capital requirements (including complex SCR rules)
- Liquidity, dividend, and surplus
- And any metric that comes out of an ALM tool
How GLASS PRISM Works in Practice
GLASS PRISM is fully integrated with GLASS, Ortec Finance’s leading ALM and balance sheet modelling platform. GLASS generates the high-quality stochastic scenarios and ALM outputs that feed into GLASS PRISM’s AI training, ensuring every optimization reflects realistic market dynamics, liability interactions, and regulatory constraints.
By capturing complex, non-linear interactions between assets, liabilities, and capital requirements, GLASS PRISM can be used to demonstrate deep understanding of an insurer’s balance sheet objectives and provide a clear competitive edge when pitching for new business.
GLASS PRISM turns GLASS from a simulation powerhouse into a complete optimization engine:
- Full Constraint Handling – Models non-linear, regulator-defined constraints without oversimplification.
- Insurer-Specific Objectives – Optimizes SAA based on the metrics that matter the most, from solvency capital to dividend targets to liquidity metrics.
- Rapid Iteration – Once trained, optimization results can be generated immediately.
- Transparency Built-In – Every recommendation backed by GLASS analytics for regulatory and board-level confidence.
Strategic Edge
With GLASS PRISM, insurance asset managers can:
- Directly target the balance sheet metrics that matter most—within the constraints under which they operate
- Handle non-linear objectives and constraints natively, without proxies
- Produce a set of SAAs that best satisfies insurer objectives, rather than approximating them
- Support ALM-driven strategic decision-making
- Deliver results faster, more accurately, and within existing processes
GLASS PRISM doesn’t just improve the portfolio process—it unlocks portfolios that were previously undiscoverable, giving asset managers a measurable advantage in performance, compliance, and speed.
GLASS PRISM – Features & Benefits
Scenario-Based Machine Learning
Optimizes portfolios using thousands of realistic economic and market scenarios, ensuring decisions are grounded in plausible real-world conditions.
Complex Constraint Handling
Naturally incorporates complex capital and regulatory constraints (e.g., solvency capital requirements), avoiding the oversimplifications of traditional optimizers.
Insurer-Specific Objective Functions
Customizes optimization to your exact targets—surplus, solvency, liquidity without forcing you into generic models.
Integrated with GLASS ALM Platform
Seamlessly combines long-term balance sheet simulation with rapid AI-driven optimization in one platform, reducing complexity and speeding execution.
Transparent, Explainable AI
Delivers fully auditable insights so decisions can be clearly justified to boards and stakeholders.
Rapid Turnaround
Runs optimizations in minutes, enabling frequent, agile updates to strategic asset allocation.
GLASS PRISM vs Traditional Tools
| Approach | Traditional Optimization (Mean Variance/CVaR) |
GLASS PRISM with Ortec Finance |
| Objective Flexibility | Narrow & quantitative |
Multi-objective (solvency, PVDE, climate, ESG) |
| Constraints | Linear allocation-based or approximated constraints only |
Same as Traditional Optimization plus flexible constraints based on ALM metrics |
| Scenario Awareness | Static or limited scenarios |
Thousands of simulated future states |
| Efficiency | Slow and impractical for complex objectives (“trial and error”) | Overnight training with optimization in minutes on the exact metrics of interest |
Client Story
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M&G Investments Part 1
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M&G Investments Part 2
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AllianceBernstein
Case Study Title: Optimizing Insurance Portfolios with PRISM: Ortec Finance & M&G Investments
Ortec Finance partnered with M&G Investments to pilot its new GLASS PRISM powered by Scenario-Based Machine Learning (SBML) tool.
From concept to integration-ready insights, the SBML methodology is designed to optimize complex, constraint-driven portfolios within a stochastic modeling framework using the GLASS platform.
PRISM-generated portfolios showed improved solvency and return metrics compared to traditional approaches.
Case Study Title: Unlock the Next Dimension of Portfolio Optimization
Traditional methods can’t keep up with the complexity of today’s investment challenges. That’s why Ortec Finance, in collaboration with M&G Investments, developed a 3D Scenario-Based Machine Learning (SBML) optimization approach within GLASS.
The result? Portfolios that outperform traditional techniques, balance multiple objectives, and deliver transparency in decision-making.
Case Study Title: Balancing Risk Return and Liquidity in a US Insurance Portfolio
Explore how Ortec Finance and AllianceBernstein used GLASS PRISM to optimize a US insurance portfolio across risk, return, and liquidity. This case study shows how SBML overcomes the limits of traditional models, enabling smarter, more flexible portfolio decisions for insurers.
Ready to See GLASS PRISM in Action?
Want to discover how our solutions enhance strategic risk management and investment decision-making?
Insurance GLASS PRISM Related Content
How AI can help manage insurance portfolios
By merging rigorous AI research with practical collaboration, this combined resource equips insurers to optimize portfolios with confidence—and clarity—in the AI era.
WEBINAR: Watch the 2025 webinar, AI in Insurance Strategic Asset Allocation: Are You Ready for the Next Disruption?
Featuring SBML insights and pilot reflections.
REPORT: Read the report, AI in Insurance Strategic Asset Allocation: Are You Ready for the Next Disruption?
Explore how AI can drive smarter, more resilient investment strategies.
Contact
Hamish Bailey
Managing Director UK, Head of Insurance & Investment