Private AI for Banking, Financial Services, and Insurance

Direct formulas like `=INSO.TICKER()`, `=INSO.BLACK_SCHOLES()`, `=INSO.OPTION_DELTA()`, and `=INSO.PORTFOLIO_VAR()` query real-time agent metrics directly inside active Excel workbooks.

Task pane sidebar interface to adjust LBO model assumptions (Debt/EBITDA, exit multiples), manage write-back parameters, and run portfolio rebalancing algorithms.

Interactive chat bots query specialized agents, utilizing responsive Adaptive Cards to execute human-in-the-loop trade escrow approval decisions directly inside Teams.

Task pane scans emails and attachments, parsing financial metrics and critical deal parameters directly into target analyst transaction pipelines in one click.

Automated ingestion pipelines for SharePoint folders sync critical CIMs and compliance documents without caching persistent tenant credentials inside the vault.

Bi-directional OneDrive file sync parses incoming investor decks, diligence spreadsheets, and regulatory memos securely stored in Garnet RESP memory cache.

Apply native Microsoft Sensitivity Labels (e.g. Highly Confidential) to exported PDF research reports and Excel financial models programmatically under SEC 17a-4.

Enforce granular corporate single sign-on with multi-factor authentication, mapping Azure AD tenant security groups to agent execution permissions.

Synthesize complex multi-page Investment Committee deal memos, credit agreements, and legal summaries directly into branded Microsoft Word formats.

Generate complete 20-slide M&A pitchbooks and quarterly investor updates in `.pptx` XML format based on live agent swarm analysis and LIDA visualizations.

Extend Microsoft 365 Copilot with sovereign BFSI execution plugins, allowing bankers to trigger financial models from within Word, Excel, or Teams.

Sync high-net-worth client interaction logs, portfolio updates, and advisory meeting summaries automatically into Microsoft Dynamics 365 CRM.

Ingest transaction databases and unstructured compliance data directly into Microsoft Fabric OneLake to build comprehensive Spark-powered models.

Stream agent consensus actions, system logins, and data transfers natively into Microsoft Sentinel to satisfy strict regulatory FINRA compliance rules.

Embed real-time risk heatmaps, CCAR stress test scenarios, and portfolio capital ratios directly into active Microsoft Power BI executive dashboards.

Perform mathematical operations, Black-Scholes options pricing, and VaR calculations on encrypted banking data without decrypting it in memory.

Multi-party confidential ledger executing inside hardware Intel SGX / TEE enclaves for zero-trust interbank settlement.

Code-first autonomous agent framework executing sandboxed Python code to calculate rolling Sharpe ratios and portfolio tail-risk metrics.

Billion-scale vector search index returning sub-millisecond document retrieval across millions of ISDA credit agreements and SEC filings.

Hardware Root-of-Trust module locking PCR registers to guarantee agent execution code has not been tampered with at the firmware level.

Causal machine learning framework utilizing Double Machine Learning (DML) to estimate commercial real estate default rates under Federal Reserve rate hikes.

Hardware-aware model optimizer compiling small language models (Phi-3) into low-latency TensorRT FP16 execution providers.

Translates unstructured trader prompts into strongly-typed TypeScript financial intent schemas with zero syntax or parameter error rate.

Machine learning OS optimizer dynamically tuning database buffer pools, lock strategies, and memory parameters under heavy market volatility.

Real-time collaborative data structures (SharedMap & SharedString) enabling instantaneous co-authoring of financial models across deal teams.

Constructs structured entity-relation knowledge graphs across M&A deals, legal ownership hierarchies, and corporate SEC filings.

Scans and sanitizes sensitive trader communications, SSNs, credit card numbers, and confidential PII before routing to LLM execution.