Fortytwo AI Universe

Build AI business apps, securely in your own Azure

AI Universe lets the people closest to a problem describe the app they need in plain words and have it built for them. Every app runs in your own Azure, behind your company sign-in, with the security and cost control your IT team needs to say yes.

Imagine what your teams could build

Your next app, built in your own Azure.

If you can explain it to a colleague, you can describe it to AI Universe, and it runs in your company’s Azure from the very first version. These are a few sparks to get you thinking, and the best idea is usually the one only your team would think of.

Describe the app you wish you had Example ideas: An app that shows which customers we have not spoken to in three months, and suggests a friendly reason to get in touch. An app that checks every expense claim against our travel policy before it reaches my desk. An app where new starters see their first two weeks, with everything they need to read and sign. An app that picks up supplier delays from email and shows which orders are at risk. An app that answers questions about our HR policies and shows where the answer came from. An app that turns the weekly project updates into one status report for the steering group.
  • FinanceExpense reviewChecks each claim against your expense policy and flags missing receipts before anyone approves it.Useful for: Finance teams who chase receipts by hand every month.
  • IT and customer serviceTicketing systemTurns emails, forms and chat messages into tickets, routes them to the right team and tracks each one until it is solved.Useful for: Service desks, IT support and customer service.
  • SalesCRM systemKeeps customers, contacts, deals and follow-ups in one place, shaped around how your team actually sells.Useful for: Sales teams who have outgrown spreadsheets or a CRM that does not fit.
  • MarketingMarketing platformPlans campaigns, sends emails and shows which channels bring in leads, all from your own data.Useful for: Marketing teams who want one tool instead of five.
  • SalesQuotes and forecastBuilds quotes from your price list, flags discounts outside your rules and keeps the forecast current as deals move.Useful for: Sales teams, sales ops and finance.
  • MarketingCampaign managerShows what is planned, who owns each piece, what waits for approval and what has gone live.Useful for: Marketing teams juggling decks, spreadsheets and email threads.
  • People and HROnboardingGives every new starter a checklist for equipment, access, training and the first weeks, with owners for each step.Useful for: HR, managers and the new colleague.
  • OperationsStock levelsShows stock across sites and warns before something runs out.Useful for: Warehouse and purchasing teams.
  • ProjectsProject trackerKeeps milestones, owners and risks for every project in one view.Useful for: Project leads and steering groups.
  • Customer serviceCase managementCollects customer cases from email and forms, assigns them and tracks them to a solution.Useful for: Support and service desks.
  • Your team’s idea
  • IT and securityAccess requestsLets people ask for access to systems, with the right approver and a record of who said yes.Useful for: IT, security and managers.
  • LeadershipManagement dashboardPuts the numbers leadership asks for on one page that updates by itself.Useful for: CEOs and management teams.
  • Customer serviceAnswer assistantSuggests answers to customer questions from your own manuals and earlier cases.Useful for: Support agents, especially new ones.
  • People and HRRecruitment pipelineTracks candidates from application to offer, with interview notes in one place.Useful for: Hiring managers and HR.
  • OperationsField service logLets technicians log visits, parts and photos from their phone.Useful for: Service teams working on site.
  • FinanceMonth-end checklistKeeps every closing task, owner and deadline on one page, with status everyone can see.Useful for: Finance teams that close the books under time pressure.
  • LeadershipKnowledge assistantAnswers questions from your own documents and SharePoint, and shows where the answer came from.Useful for: Everyone who looks for information across folders.
  • LeadershipDecision logRecords what was decided, by whom and why, so it can be found later.Useful for: Leadership teams and project boards.
  • + your next idea

The list stops here. What your teams can build does not.

Have a specific use case? Try AI Universe
01 · Everyone can build

The people closest to the problem build the fix.

The finance lead who chases receipts knows exactly what the expense app should do, so she is the right person to describe it. Nobody has to be a developer, and developers who want to can work on the same app in their own tools.

  1. Name it. Give the app a name and say in one sentence what it is for.
  2. Shape it. Change it by describing what you want, the way you would explain it to a colleague, and watch the preview update.
  3. Share it. Publish, and colleagues open it with the work account they already use.
AI Universe overview: your control plane and galaxies, hosted and run by Microsoft Azure services in your own tenant.

Built in your Azure tenant

Deployed inside your Azure subscription using your own resources, repositories, identities, secrets and data. Fortytwo provides the framework and delivery model. You keep ownership and control.

Your Azure subscription, your resources
All secrets and keys stay in your Key Vault
Customer-owned GitHub repositories

Governed through one AI gateway

AI Universe is designed to route approved AI traffic through a governed gateway built on Azure API Management, with policy controls, usage logging and model access management in place from day one.

Azure APIM as the controlled front gate for AI traffic
Token-rate limits and Azure Content Safety pre-wired
Usage tracking through Application Insights

Ready to build from a working foundation

AI Universe provisions a working application environment including repository, codebase, infrastructure and CI/CD. Teams start from a governed baseline and focus on the use-case-specific logic.

Bicep IaC aligned with Microsoft Cloud Adoption Framework
CI/CD with secret scanning, SAST and dependency audit
Shared design system and reusable UI components

Built to scale across use cases

The platform supports multiple customer-specific application environments with shared governance and repeatable delivery. One governed core, many isolated application environments.

Isolated application environments with independent keys and identities
Policy, galaxies and wisdom managed self-service from one control plane
Platform updates delivered as new container images
THE CHALLENGE

Three possibilities and one clear choice

AI adoption has moved beyond experimentation. Teams want to build custom AI applications inside the enterprise architecture. There are three ways to approach it.

YOU BUILD

Build it yourself

Full control. Designed exactly for your requirements. Engineering teams own every layer of the stack.

Trade-off: months of foundation work across Azure, identity, security, AI services and DevOps before the first use case runs.

YOU BUY

External AI platform

Faster to start. No infrastructure to maintain. Many platforms make AI application development feel accessible.

Trade-off: data, application logic and IP sit outside the customer's Azure tenant. Governance, ownership and maintainability depend on the vendor.

YOU DEPLOY AI UNIVERSE

In your own tenant

A pre-built foundation in your tenant. Teams start from a working, governed baseline and build the use-case-specific features on top.

What you get: the speed of a managed platform, the ownership of a self-built environment, and governance from day one.

AI Governance: Build or buy?

Dig deeper into how it works

One AI gateway

Every AI call from every application passes through one gateway built on Azure API Management. Model access, token limits, Content Safety and usage logging are set once for the whole organization, instead of per app.

Governed AI gateway: AI traffic from every application passes through Azure API Management before it reaches the models.

Vibe coding needs a floor

SEE IT IN ACTION

From idea to production, in one loop

From a name in the control plane to a live application in your own tenant. The environment is provisioned automatically, your team builds with Claude Code or the AI tool they prefer, and every release goes through the governed pipeline. This is the loop your teams get.

WHAT YOU GET

Everything you need to start building

AI gateway and model access

Azure API Management configured as the governed entry point for all AI traffic. Token-rate limits, Azure Content Safety and model-access policies apply across all applications from the start.

Per-application identity

Each application environment has its own Microsoft Entra App Registration and Key Vault secrets. No shared service accounts. Contained blast radius. Independent revocation.

Security-gated CI/CD

Every build runs secret scanning, static analysis and dependency auditing before deployment. Applies to AI-generated code as well as hand-written code. Enforced, not optional.

Infrastructure as code

Bicep IaC aligned with the Microsoft Cloud Adoption Framework. Every environment is reproducible, reviewable and rebuildable from source. No snowflake infrastructure.

Observability and cost visibility

Structured AI call logs, token usage, cost and policy events per application stored in Azure Log Analytics inside your tenant. Queryable from day one.

Enforced code quality

Cyclomatic-complexity ceiling applied to all code. Functions blocked above threshold 15, flagged from threshold 10. Keeps the codebase maintainable as it grows with AI-assisted development.

Shared design system

Reusable UI component library and application templates. Teams start with consistent, reviewed components and focus on the features that differentiate the use case.

Three-tier wisdom system

Curated AI guidance at three levels: Fortytwo baseline, organization and application. AI tools produce architecture-aligned, reviewed output from the first line of code.

THE FORTYTWO DIFFERENCE

We are the experts who
wire it all up

Fortytwo has made the decisions and wired the entire setup together: identity, model access, governance, delivery and code quality, built on the vast ecosystem of AI features in Azure. You start from our decisions, not a blank subscription. And you run it yourself: one control plane gives you self-service over policy, governance, galaxies and wisdom, instead of switching between a dozen Azure portals.

Cartoon astronaut with number 42.
One self-service control plane for policy, governance, galaxies and wisdom, no juggling ten Azure portals
We wire APIM, AI Foundry, Content Safety and Key Vault into one governed gateway, so you don't have to
We build on the vast ecosystem of AI features in Azure, not just AI agents
Per-application identity, isolation and kill-switch are designed in, not bolted on
Security-gated CI/CD and enforced code quality apply to AI-generated code too
You get a repeatable platform you own, not a one-off project

We provide the governed foundation you can build from.

MADE FOR

Built for the teams that move things forward

CIO / CTO

A governed platform model, not more scattered tools

Consolidate AI development into one owned, controlled environment. Teams contribute their domain knowledge without bypassing IT controls or creating a new shadow AI estate. Day-to-day management is self-service in one control plane, not spread across Azure portals.

CISO / COMPLIANCE

Data stays in your tenant. Governance is built in.

AI traffic routed through a governed gateway. Logging through Application Insights and Log Analytics. Per-application identity. Policy controls in place from deployment. Designed to support SOC 2 and EU AI Act readiness.

ARCHITECTS / DEVELOPERS

Start from a working foundation, not blank infrastructure

Repository, server, client, Bicep IaC and CI/CD in place from day one. One governed gateway for model access. Enforced code quality applies to AI-generated code. Modular architecture that stays maintainable.

PLATFORM TEAMS

One foundation. Many use cases. No rebuild for each.

Repeatable delivery without rebuilding identity, model access, logging and deployment for every new application. Isolated environments with shared governance. Platform updates delivered as container images.

GET STARTED

Ready to build governed AI applications?

Deploy AI Universe in your tenant and start building.

FAQ

CONTACT US

Let's talk about AI in your company

If you want more information about AI Universe, or want a live demo, don't hesitate to contact us.

Remi Vandemir, Fortytwo
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