ZZAN.AI
Platform

Use AI. Keep control.

Teams use AI freely from analysis to testing. Your company sets the limits, sign-offs and standards.

Control

Four safeguards between AI and your systems

We don’t ask AI to behave. The system enforces it.

  1. 01

    One AI gateway

    Every AI call goes through one in-house gateway. API keys never leave the server, and you switch LLMs by configuration.

  2. 02

    Tool limits

    You decide which tools an AI agent may use, per screen, project and role. SAP work is allowed only within 44 operations defined by purpose.

  3. 03

    Human sign-off

    Key results move on only after a person signs off. Skip a check, and the next step stays closed.

  4. 04

    Audit trail

    SAP changes are logged with human and AI work kept apart, and every failed AI call is traced to the user and cause.

Your Standards

AI that works the way your company does

Generic AI doesn’t know your rules. AIFLOW teaches them to the AI — and makes sure it follows them.

Standards agents

Frontend, backend, DB and ABAP standards live in dedicated agents. When a standard changes, the agents update with it and the version history is kept.

FrontendBackendDBSAP ABAP

Enforced by CQG

CQG (Code Quality Gate) checks code at every GitLab push and in CI. Code that breaks a standard isn’t flagged and waved through — it’s blocked.

Code Quality GateGitLabCI

ABAP compliance checks

ABAP code is checked against your development standards. What can be fixed is fixed automatically, exceptions go through approval, and results are exported to Excel for review.

SAP ABAPExcel review

Design system

The AI and the linter share the same design tokens, so new screens follow your design system too.

Design tokensLint
Secure Workspace

A workspace your security team can trust

Even AI-assisted development stays inside your network.

Isolated workspace per user

· Start coding with just a browser· No local installs or admin rights

In-house LLM connection

· Connect or switch by configuration· API keys stay on the server

AI tool limits

· Each agent gets only the tools its job needs· Set per screen, project and role

Confirmed business model (PCM)

· Business processes confirmed by your people· AI can read it, never change it
Workspaces

Two workspaces, one platform

Administrators set the rules. Developers and consultants work with AI inside them.

Admin Console

Administrators

Set standards, control policies, AI models and user permissions in one place.

Studio

Developers & consultants

Analyze, convert and test with AI — all in one browser.

How It Works

Every request passes through your controls

From the browser, each request clears AIFLOW’s controls and the AI gateway before it reaches an LLM.

Your network
  1. 01

    Browser

    Work in Studio, nothing to install

  2. 02

    AIFLOW

    Your rules, applied to every request

    • Tool limits
    • Sign-off
    • Audit trail
  3. 03

    AI gateway

    One path for every AI call

  4. 04

    In-house LLM

    Switch models by configuration

What changes with AIFLOW

  1. 01Logic

    Business logic buried in legacy code

    AI extracts the logic and writes a guide for every screen

  2. 02AS-IS

    Documentation missing or outdated

    Screens rebuilt as they were, so the AS-IS is clear

  3. 03Rebuild

    Manual, screen-by-screen rewrites

    AI conversion with a person signing off at each stage

  4. 04Security

    External AI blocked by security policy

    AI on your in-house LLM, only within the limits you set

  5. 05Code quality

    Inconsistent code across teams

    Standards enforced by dedicated agents and CQG

  6. 06Testing

    Testing done by hand

    AI-generated test cases and nightly regression

Control Roadmap

Control that started in SAP, now for every suite

The controls we built first for the SAP suites are coming to EP and DB.

  • Suite-wide sign-off gates

    Whichever suite you work in, key results get the same human sign-off.

    Planned

  • Approval and audit for every output

    EP and DB results go through approval and audit before they’re applied, just as SAP changes do.

    Planned

  • One audit timeline

    See human and AI work from every suite on a single timeline.

    Planned

  • AI usage and cost dashboard

    See how much AI each project uses and what it costs, at a glance.

    Planned

  • Stricter control defaults

    New projects start with tighter control settings from day one.

    Planned
See the full roadmap →

Start modernizing with AI you can control

Our experts will design a rollout that fits your systems and security environment.