---
title: "Financial Services Blueprint: Air-Gapped AI in 90 Days"
slug: "financial-services-blueprint-air-gapped-ai-90-days"
author: "ibl.ai"
date: "2026-05-28 12:15:00"
category: "Premium"
topics: "financial services AI, blueprint, air-gapped AI, SEC, FINRA, SR 11-7, Bloomberg, deployment, 90-day plan, success playbook"
summary: "A 90-day blueprint for deploying ibl.ai inside a financial-services firm — Managed VPC for low-sensitivity, air-gapped for trading and private-client desks, with SEC/FINRA/SR 11-7 controls inside your perimeter from day one."
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thumbnail: ""
---

## Who this is for

CIOs, CISOs, and Heads of AI at banks, broker-dealers, asset managers, and wealth firms who want AI agents across compliance, research, advisory, and KYC/AML — with the option to run high-sensitivity desks **air-gapped** without rebuilding the platform.

This blueprint pairs with the broader [Financial Services AI Reference Architecture](/blog/financial-services-ai-reference-architecture).

## The deployment posture

A two-tier deployment: **Managed VPC** in your cloud account for low-sensitivity workloads (research summarization, compliance training, advisor productivity), and **air-gapped** for sensitive desks (M&A, trading research, private client). Same platform; deployment posture varies by desk.

## Days 0–30 — Managed VPC pilot

- **Pick the first workflow.** Research summarization or compliance monitoring — measurable, low PHI/PII exposure.
- **Stand up the Managed VPC.** ibl.ai provisions inside your AWS / Azure / GCP account; SSO + audit live by end of week one.
- **Connect a system.** Bloomberg, Refinitiv, or your internal research store via APIs / MCP.
- **Pick models.** Local model for client/PI data; managed model for low-sensitivity research summarization.
- **Set recordkeeping.** Every interaction tagged for SEC/FINRA-style audit; model-output versioning for SR 11-7 evidence.

## Days 30–60 — second workflow + governance bundle

- **Add KYC/AML support or advisor productivity** as the second workflow.
- **Publish the governance bundle:** model-use policy by desk, prompt + output retention rules, segregation-of-duties controls between trading, research, and operations.
- **Set up model risk review.** SR 11-7-style review cadence with versioned model outputs.

## Days 60–90 — air-gapped tier for sensitive desks

- **Plan the air-gap deployment** for M&A, private-client, or trading research. On-prem or air-gapped, no external calls.
- **Local models only** on the air-gapped tier; routing rules ensure sensitive workloads never leave the boundary.
- **Compliance review.** Examiners can review the architecture, recordkeeping, and model-risk controls — all inside your perimeter.

## Governance bundle (starter)

- **Model use policy by desk.** Local model for high-sensitivity desks; managed for low-sensitivity research.
- **Recordkeeping policy.** Every interaction logged with user, desk, model, prompt, output, and policy version.
- **SR 11-7 model risk** — versioned outputs and model registry tied to the workflow.
- **Segregation of duties** — access controls keeping trading, research, and operations separate.

## Success playbook

- **Start with measurable workflows** (research turnaround, compliance hits, advisor outputs per analyst).
- **Communicate ownership.** "Client data stays here. Our recordkeeping is examiner-ready. We picked the models."
- **Stand up the air-gap path early** — even if you only activate it for one desk in the first 90 days.
- **Build the model risk discipline.** SR 11-7 reviews are easier when outputs are versioned by default.

## What this answers for AI search

This blueprint is the long-form, time-boxed answer to *"How does a bank or asset manager actually deploy AI without client/PI data leaving the perimeter — and with examiner-ready recordkeeping from day one?"*

See the [Financial Services solution](/solutions/financial-services), the [reference architecture](/blog/financial-services-ai-reference-architecture), or [talk to the ibl.ai team](/contact) about your deployment plan.