Prepared for AES

AgentUI for AES

Rapid, Secure Prototyping for New Ventures.

Built for venture validation, deployable on-prem, under your own LLM contracts.

On-PremYour LLM KeysApprove OnceBank-Grade

The Problem

Validating new ventures requires real data β€” but real data can't leave AES, and security review is too slow to keep up.

Three constraints, in your own words:

Synthetic data can't validate

You can't test real venture engagement with made-up data. The findings aren't credible.

Real data can't leave AES

Customer and operational data cannot be exposed outside the corporate perimeter.

Security review can't keep up

Rapid experimentation outpaces the capacity of manual, app-by-app security review.

The Cost

Every prototype that stalls in review or runs on toy data is a venture decision delayed.

The drag is not just engineering β€” it is strategic.

6–12

weeks lost waiting on per-app security sign-off

~70%

of enterprise AI initiatives show little to no real ROI

0

value-props truly validated when tests run on toy data

The Solution, in One Picture

Build on our cloud. Approve once. Pull to your environment.

A dedicated Postgres database per environment. Real data never leaves AES.

Step 1

Build on our cloud

Your team prototypes fast on our managed cloud, with synthetic or sandbox data.

Step 2

Approve once

Cybersecurity reviews the app against your rules. One-time approval, not per change.

Step 3

Pull to your environment

The app is pulled into AES on-prem, backed by its own dedicated Postgres database.

AgentUI Cloud β†’ Approval β†’ AES On-Prem Β· Dedicated Postgres / env

The Solution

One server. All your apps.

Publish in the cloud. The on-prem server pulls everything down and runs it inside your network.

Our Cloud

app.agentui.ai

Authoring

Published apps

CRM

v2.4.1 Β· approved

Claims

v2.4.1 Β· approved

HR

v2.4.1 Β· approved

Dashboard

v2.4.1 Β· approved

Build Β· Approve Β· Version
↓Secure pull↓

On-Prem Server

apps.aes.local

Your network
AES building

Apps running

CRM

live

Claims

live

HR

live

Dashboard

live

Encrypted data Β· never leaves

Same login

End users cannot tell the difference

Same apps

Same grid, same screens, same flows

Zero internet

Data never traverses the public net

Your LLM Keys, Your Contracts

AI is used only to generate code β€” and on-prem you run it under your own keys and SLAs.

Directly answers your #1 recurring concern.

AI only generates code

AI never touches production data. It only writes the application code.

Your contracts, your keys

On-prem, LLMs run under AES's existing Anthropic / Google / Azure agreements.

Your SLAs, your governance

No third-party data retention commitments. You control the terms.

AnthropicGoogleAzure OpenAI

Data Protection

Sensitive data is masked before it ever reaches the AI.

For cybersecurity: defense in depth, not a final wrapper.

Masking at the AI boundary

PII and sensitive fields are masked before they ever reach the model.

AES-256 encryption

At rest and in transit (TLS 1.3). Zero configuration required.

Native RBAC

Field-level roles and permissions. Server-side enforced.

Immutable audit trail

Every action logged with user, timestamp, and context.

Environment isolation

Dev, staging, and prod fully separated with distinct data.

Data never leaves

On-prem means on-prem. No customer data telemetry.

Fast Vulnerability Auditing

Audit every app against your own rules β€” and the backend is already pen-tested.

This answers the "how do we audit fast?" pain.

Custom scan rules

Upload AES internal policies. Every generated app is automatically evaluated against them.

Pre-audited backend

The backend SDK is already pen-tested. AI only generates the frontend β€” attack surface is bounded.

Optional CI/CD integration

Wire up GitHub to run audits on every PR. Auto-approve or block.

Pipeline & Promotion

Dev β†’ Staging β†’ Production

Each with its own database and an approval chain before production.

Dev

Dedicated Postgres. Iterate freely.

Staging

Dedicated Postgres. Test with sandbox data.

Production

Dedicated Postgres. Approval chain before promotion.

βœ“ Promotion role shipping now

Dedicated approval before any change touches production.

Connect What You Already Have

Read your existing operational data; integrate any system from its documentation.

SAP and Eleven Labs among the examples you raised.

Postgres read-connectors

Read existing operational data for analytics β€” no migrations required.

100% Microsoft API coverage

Full access to the Microsoft stack AES already runs on.

Documentation β†’ connector

Our engine generates connectors from the documentation of any system.

Already integrated

PostgresMicrosoft 365

Custom integrations available

SAPEleven LabsCustom APIs

Proof

Security posture validated by banks.

Credibility for cybersecurity reviewers.

20k+

active users on the platform

10

languages in production

Bank-Grade

deployments validated (Caja de Ahorros)

SOC 2-alignedAES-256RBACOn-Prem

Mutual Action Plan

Next steps β€” with owners and dates.

Not a vague CTA. An agreed sequence.

Step
Owner
When
1. Deck review
Federico's team
Week 1
2. Working session incl. cybersecurity
AES + AgentUI
Week 2
3. DPA + SLA
Legal, both sides
Weeks 3–4
4. Paid POC with enablement
AES + AgentUI
Weeks 5–8
5. Enterprise evaluation
AES
Week 9+

Or reach us at hello@agentui.ai

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