What is Agentic OS and how does it differ from a traditional data warehouse?

Agentic OS is an AI operating system that creates a secure, per-learner memory layer by unifying data from SIS, LMS, CRM, and ERP systems. Unlike traditional data warehouses, it provides policy-aware retrieval with fine-grained consent controls, enabling AI agents to access contextual student data while maintaining FERPA compliance.

Can we deploy Agentic OS in our own infrastructure?

Yes. Agentic OS can be deployed on-premise or in your cloud (AWS, Azure, GCP) using your VPC, KMS, and IAM. You receive full source code access to connectors, policy engine, and agent interfaces—no vendor lock-in.

What systems does Agentic OS integrate with?

Agentic OS connects to major campus systems including SIS (Ellucian Banner, PeopleSoft, Colleague), LMS (Canvas, Blackboard, Brightspace, Moodle), CRM (Salesforce, Slate), ERP (Workday, Oracle, Dynamics), and identity providers (Azure AD, Okta, Google Workspace).

How does Agentic OS handle student privacy and FERPA compliance?

Agentic OS includes privacy by design with field-level permissions, PII redaction, consent receipts, and selective disclosure. Students can control what data is shared with AI agents, and all access is logged for audit purposes.

What AI agents can run on Agentic OS?

Agentic OS powers three primary agent types: Tutors for students (personalized academic support), Teaching Assistants for instructors (workflow automation and course support), and Digital Assistants for administrators (operational intelligence). All agents are LLM-agnostic and can use OpenAI, Claude, Gemini, or local models.

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Agentic OS (Operating System)

Unify institutional data into a secure client memory layer—powering advisory agents, compliance assistants, and risk tools with an ownable AI operating system. No need to choose build vs. buy — you get both.

Sector:Higher Education Corporate Small Business K-12 Government Legal Financial Services Healthcare

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceAir-gapped or any cloud provider's

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

1.6M+Platform Users

400+Organizations

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 Guide

Runs on

Air-Gapped AI Anthropic Claude Google Gemini Microsoft Copilot Amazon Bedrock OpenAI GPT NVIDIA NemoClaw OpenClaw

1 / 5

Compliance AgentSEC/FINRA monitoring, regulatory reporting

Risk Assessment AgentPortfolio risk analysis, stress testing, alerts

Client Advisory AgentInvestment research, market insights, recommendations

Regulatory Reporting AgentSOX, PCI DSS, and audit report generation

Portfolio Analysis AgentPerformance attribution, benchmarking, analytics

Employee Training AgentCompliance training, certification prep, onboarding

KYC/AML AgentCustomer verification, sanctions screening, SAR filing

Fraud Detection AgentTransaction monitoring, anomaly detection, alerts

Client Onboarding AgentAccount opening, document collection, KYC workflow

Knowledge Management AgentPolicy search, procedure lookup, institutional memory

IT Help Desk AgentTechnical support and system access

Operations AgentTrade settlement, reconciliation, workflow automation

How ibl.ai compares

ibl.ai

Model choice

Any LLM — Claude, GPT, Gemini, Llama or open-source. Switch anytime.

Locked to Anthropic Claude models

Autonomous agents

Production-ready agents out of the box — plus the tools to build your own.

Chat assistant — you build & host your own agents

Privacy & ownership

100% self-hosted — private LLMs included. You own all the code, data & models.

Runs on Anthropic's cloud — your data leaves your walls

Cost at scale

Up to 85% lower — intelligent routing across providers, no per-seat lock-in.

Per-seat & per-token SaaS pricing

Delivery & services

Our engineers work with you to connect your data sources and build your agents.

Self-serve docs & standard support tiers

Want the full breakdown?Self-hosted & private LLM →See build vs. buy →Book a 30-min demo →

OS (Operating System) — Unify institutional data into a secure client memory layer

An Ownable AI Operating System for Financial Services.

OS by ibl.ai connects core banking, trading, CRM, and compliance systems over an MCP-based interoperability layer to assemble a secure, per-client memory.

That memory gives your AI agents the right context—so every advisor gets a portfolio assistant, every compliance officer an intelligent monitor, and every IT leader a regulation-ready platform.

Deployed in your infrastructure with your keys and your controls—including full code access.

For Advisors & Relationship Managers: Context-Rich Client Intelligence

Unified Client MemoryAccount history, portfolio positions, risk profiles, KYC records, and financial goals—federated from your core systems/CRM and made available (with policy guardrails) to the advisor's assistant.

Personalized InsightsProactive portfolio alerts, product suitability checks, and citable answers grounded in your firm's research and regulatory guidelines.

Confidentiality by DesignInformation barriers, need-to-know enforcement, and selective disclosure controls for every interaction.

ResultFaster client responses, better suitability, stronger relationships.

For Compliance & Risk Officers: An Intelligent Monitoring Assistant

Regulatory Context, Not GuessworkPulls transaction logs, client profiles, regulatory filings, and risk metrics to draft surveillance reports, SAR narratives, and audit responses.

Workflow AutomationsKYC renewal alerts, regulatory filing deadlines, and exception monitoring—always citing approved compliance policies and regulations.

Program ControlDivision-level policies, versioned procedures, and risk dashboards.

ResultMore time for risk analysis, less time on manual surveillance and reporting.

For IT & CTO: Own the Stack, Meet Regulatory Standards

Runs in Your EnvironmentDeploy on-prem or in your cloud (AWS, Azure, GCP). Your VPC, your KMS, your IAM—no external data dependencies.

Full Code Access (No One Else Offers This)You receive source access to connectors, policy engine, and agent interfaces—no vendor lock-in.

Governance & ComplianceSEC/FINRA/OCC support, SOX controls, RBAC, audit logs, retention policies, and data residency options.

Observability & Cost ControlUsage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration.

ResultMaximum data security, exam-ready controls, and accelerated AI adoption—under your control.

What OS Connects (Examples)

Core BankingFIS, Fiserv, Temenos, Jack Henry

Trading & MarketsBloomberg, Refinitiv, Charles River, Aladdin

CRMSalesforce Financial Services Cloud, Microsoft Dynamics 365

Compliance & RiskActimize, Compliance.ai, Archer, MetricStream

Identity & StorageAzure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS

What's Inside OS (Architecture Highlights)

MCP Integration LayerNormalizes access to core banking/trading/CRM/compliance via secure adapters

Client Memory LayerPer-client knowledge graph + vector index with regulation-aware retrieval

Policy & Guardrails EngineField-level permissions, PII redaction, information barriers, need-to-know enforcement

Agent InterfacesAdvisor Assistant (RM), Compliance Monitor (officer), Risk Analyst (CRO)

Model Hub (LLM-Agnostic)OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable

Event Bus & AutomationsTriggers for KYC renewals, margin alerts, regulatory filing deadlines

Audit & TelemetryEnd-to-end logs, prompt/response archives, cost and latency meters

Admin ConsoleConnectors, schemas, dataset scopes, memory visibility, and policy editing

Why OS Outperforms Typical Integration Hubs

Client Memory LayerOS: Regulation-aware, per-client context | Typical: No unified memory

Runs in Your InfraOS: Your VPC, keys, IAM | Typical: Vendor cloud only

Full Code AccessOS: Source delivered, extensible | Typical: Black box / SDK limits

LLM-AgnosticOS: Swap models freely (incl. local) | Typical: Single-model dependency

Financial GovernanceOS: SEC/FINRA-ready, information barriers | Typical: Generic role gates

Agent-ReadyOS: Standard advisor/compliance/risk interfaces | Typical: DIY agent plumbing

Benefits That Drive Impact

AdvisorsTimely, contextual client intelligence across products and accounts.

Compliance & RiskA dependable monitoring assistant informed by real transaction and regulatory data.

Leadership & ITA private, ownable AI foundation—no lock-in, full auditability, exam-ready.

ibl.ai

The ibl.ai platform supplies secure memory and connectors, AI advisory and coaching experiences, and compliance training with analytics.

It designs regulation-aligned curricula and issues portable, verifiable proof of certifications — an ownable AI operating system for financial services.