The Enterprise AI Challenge
In industries such as Finance, Healthcare and other services, executives and business managers frequently face intervention decisions, where pattern analysis and correlation predictions alone are not enough. Operations teams, market analysts and executives require AI agents to deliver robust predictions, perform rapid root cause analysis and surface timely improvement options.
Agentic AI today provides automation and exposes "Art of the Possible" insights & inferences. With what-ifs rooted in the logic of business workflows, AUTOMATED CAUSAL REASONING allows PRISM’s AI Agents to expose "Science of the Possible” to decision makers – at industrial scale.
PRISM™: Agentic AI with cause-and-effect reasoning
Causal Reasoning
Reliable prediction based on comprehensive cause and effect relationships. Integrated reasoning across company operations and market conditions
Decision-Ready Insights
Pull insights from multiple sources to auto-generate editable, query-able reports like investment memos & DD reports, within existing workflows
What-If Simulation
Simulate the impact of interventions before deployment. Test strategies risk-free and identify optimal courses of action with confidence.
Explainability & Trust
Build trust with stakeholders through transparent causal reasoning. Understand exactly why predictions and recommendations are made.
Integrated reasoning that covers both internal operations and market trends enables PRISM™ to provide secure, scalable agentic AI solutions that unify enterprise and external data sources to deliver timely, application specific predictions focused on outcomes and their causations.
Through PRISM™ capabilities of Automated Root Cause Analysis & Prediction, Custom Reporting, and Knowledge Management, investment professionals and executive leaders can now go beyond pattern and trend tracking to make business decisions about reliably improving KPIs and future outcomes in existing workflows.
Purpose-Built for Financial Decision-Making
A unified intelligence system that moves information from unstructured to structured to synthesized to predictive to causal investment decision. Secure, compliant, and deployable in private cloud, VPC, or on-prem environments with full auditability.
Causal Engine
- Identifies key causal factors behind borrower stress, E BITDA variance, covenant risk, and cash flow changes.
- Runs scenario and counterfactual analysis such as interest rate shifts, supply chain stress, domino chains in macroeconomic and sectoral risk or capex changes.
- Predicts which actions likely improve outcomes and by how much using underlying cause and effect models.
- Forecasts performance, risk probability, and forward-looking metrics and interprets their why across portfolios and individual borrowers.
Outcome: Teams understand why something is happening, what will likely happen next, and what specific actions improve outcomes.
Synthesis Engine
- Reads and synthesizes financial statements, VDRs, filings, credit agreements, covenants, ESG reports, emails, and market feeds.
- Performs cross-document reasoning to extract borrower signals and link trends.
- Produces clean structured views for underwriting and monitoring.
- Generates credit summaries and templatized reports with institutional consistency.
- Supports natural language questions across internal and external sources.
Outcome: All borrower, deal, and market information becomes instantly accessible, consistent, and ready for use.