AI for Financial Services
Deploy AI agents for compliance, risk, advisory, and operations — on your own servers with air-gapped deployment and full code ownership. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
MCP Architecture Guide for Financial Services
How to connect your financial systems (core banking, CRM, compliance, trading) to AI agents — with regulatory compliance.
Read the GuideAI Agents for Financial Services
AI Courses for Financial Services
Practitioner training grounded in primary sources. Each course publishes its full design — module outline, learning outcomes, assessment, and the regulations it cites. Request access to run one with your cohort.
AI Model Risk Management for Financial Institutions
Extend model risk governance to generative AI — inventory, validation, challenger testing, and the documentation examiners expect for a non-deterministic model.
KYC and AML with AI: Screening, Alerts, and SAR Support
Apply AI across the BSA/AML program — name screening, alert triage, and narrative drafting — without weakening the audit trail a regulator will examine.
AI Supervision Under FINRA and SEC Recordkeeping Rules
Supervise AI in a broker-dealer or RIA — communications review, books and records obligations, and what happens when an agent talks to a client.
Fraud Detection with AI: Anomalies, Alerts, and False Positives
Build AI-assisted fraud detection where a false positive is a blocked customer — anomaly detection, adaptive fraud, and fair-lending exposure.
AI for Client Advisory Without the Compliance Risk
Research and client content generation inside a regulated advisory business — sourcing, review workflow, disclosure, and the line before personalized advice.
Regulatory Reporting Automation: SOX, PCI DSS, and Audit Trails
Automate regulatory reporting and control testing with AI — evidence collection, narrative drafting, and a control environment that keeps the automation auditable.
How ibl.ai compares
Agentic AI Operating System for Financial Services
ibl.ai gives financial institutions their own Agentic AI Operating System — deploy, customize, and control AI agents across your organization without vendor lock-in.
Your client data, trading intelligence, and proprietary models stay on your servers — air-gapped from the internet if needed. Every employee gets AI tools trained on your policies, procedures, and institutional knowledge, with zero third-party data access.
Compliance & Risk Management Agents
SEC, FINRA, and SOX regulatory monitoring, automated filing assistance, and audit trail generation — all on your servers.
Ensure consistent, accurate compliance guidance across every office and time zone.
Portfolio risk analysis, VaR calculations, stress testing, and exposure alerts.
Your proprietary risk models stay in your environment. No third party ever sees your positions or strategies.
Customer verification, sanctions screening, SAR filing, and ongoing due diligence.
Client identity data never leaves your infrastructure. Process thousands of checks without exposing PII to external systems.
Client Advisory & Wealth Management Agents
Investment research, market insights, and portfolio recommendations grounded in your firm's research and methodology.
Equip every advisor with the expertise of your top performers — on your servers.
Account opening, document collection, suitability assessment, and KYC workflow automation.
Get new clients onboarded faster while maintaining full regulatory compliance.
Performance attribution, benchmarking, rebalancing analysis, and client reporting.
Generate comprehensive portfolio reviews in minutes instead of hours — all within your environment.
Operations & Employee Development Agents
Trade settlement, reconciliation, exception handling, and workflow automation.
Resolve operational issues faster while maintaining complete audit trails on your servers.
Compliance certification, product training, onboarding, and continuing education tracking.
Ensure every employee meets regulatory training requirements across all locations.
Policy search, procedure lookup, and institutional memory preservation.
Stop losing expertise when employees leave — capture and distribute knowledge across the firm.
24/7 technical support, system access management, and troubleshooting.
Resolve common IT issues instantly while freeing your team for complex infrastructure work.
Key Benefits
Integrations
Pricing & Ownership
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What our partners say about us
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Frequently Asked Questions
It is a complete AI infrastructure that lets financial institutions deploy, customize, and control AI agents across every function — compliance, risk, advisory, trading operations, and employee development.
Unlike closed SaaS tools, you own the entire codebase and deploy on your own servers. Client data and trading intelligence never leave your infrastructure.
ibl.ai deploys entirely on your infrastructure — air-gapped if needed. Every agent interaction is logged and auditable for SEC, FINRA, SOX, and PCI DSS requirements.
You own the full source code, control all data flows, and can demonstrate to regulators exactly how AI decisions are made.
ibl.ai integrates with Bloomberg, Refinitiv, and market data feeds. It connects to CRM platforms like Salesforce Financial Cloud, core banking systems like FIS and Fiserv, and risk platforms like SS&C.
SSO is supported via Okta, Azure AD, SAML, and smart card authentication.
Bloomberg AI and similar tools are cloud-based — your proprietary models and client data flow through their servers. ibl.ai runs entirely on your infrastructure with full code ownership.
You control the AI models, the data, and the deployment. No vendor lock-in, no per-seat pricing, and no third-party access to your trading strategies or client information.
Yes. ibl.ai is LLM-agnostic and supports models from OpenAI, Google, Anthropic, and others. You can run models locally on your own GPUs for maximum data sovereignty, or use cloud APIs where compliance allows.
Compliance agents monitor regulatory changes, generate reporting, track certifications, and prepare audit documentation — 24/7 across all offices.
KYC/AML agents automate customer verification, sanctions screening, suspicious activity reporting, and ongoing due diligence — all within your own infrastructure.
A typical pilot deploys agents in one division within a few weeks to demonstrate ROI and regulatory compliance. Firm-wide deployment scales from there.
We start with a free 30-minute assessment to identify the highest-impact opportunities for your organization.
Private AI you own — for financial services
Run a self-hosted, private LLM platform on your own servers — on-premise or air-gapped. You own the code, data, and models, with no per-seat fees.