Enterprise AI - Governance
to Harness its Power.

GenAI-Logic - Infrastructure that governs business logic for agentic AI.

AI proposes. Deterministic rules decide what persists.

Rules are partitioned out of applications and enforced at the commit point. All paths inherit the same governance.

Business agility becomes automatic.

You can't govern paths
You can only govern commits

Correct By Construction →

Distilled Rules, Enforced on Commit

1. AI Distills NL Intent into Rules
Rules live on data - not in execution paths. Reuse is an architectural consequence, not a feature - every path inherits the rules automatically, with no bypass.

2. Commit-Time Enforcement: Unavoidable
All transaction sources converge on a single deterministic commit.

Because all changes flow through this funnel, rules - not paths - decide what persists. This makes correctness and governance inevitable by architecture, not discipline.

Distilled Rules, Enforced on Commit
(Path-independent Invariants, Correct By Construction)

AI distills intent into reusable rules.

Because rules are declarative and data-bound, they apply to all sources and paths - automatic reuse.

Dependencies and ordering are computed by the runtime — not guessed by pattern-based AI.

Rules may include agentic logic (probabilistic), but all outcomes are governed by the same deterministic rules at commit.

Intent is preserved: humans read and debug rules, not generated code.

Governance is inspectable: rules generate executable tests, with requirements traceable to rules in a Business Rules Report.

Consequences:

New paths inherit behavior automatically, without added complexity.
Design Once. Govern All Paths.
Correct By Construction.

All changes flow through a single commit-time control point, where rules—not execution paths—decide what persists, causing every current and future path (apps, services, and agents) to inherit the same behavior automatically.

$5 Logic Arch

Intent is distilled into rules, then enforced once—at commit—across every path.

Rules are enforced by the runtime at transaction commit — independent of the Use Case, or how the transaction was initiated.

Reuse and Ordering are unavoidable architectural consequences of Rule distillation.

Commit Time Enforcement
(The Unavoidable Commit Funnel)

Mandatory for Agentic. Essential for All Systems.

Logic Executes on Commit -

All transaction sources converge on one deterministic control point, where Reuse and Ordering are unavoidable architectural consequences.

All paths obey the rules - enforced by infrastructure.

You can't govern paths.

You can govern the commit.

$4 Agentic

Agentic reasoning proposes.

Deterministic rules decide.

. See how it works →

The Business Logic Appliance

Your backend becomes a Business Logic Appliance — ready to plug into your enterprise architecture.

A Business Logic Appliance is a deployable runtime that enforces business rules at transaction commit, governing what may persist across APIs, services, and agents.

It plugs under your orchestration backplane (MCP, workflow): you keep your tools and flows — GenAI-Logic governs what may commit.

All writes pass through it. None bypass it — apps, services, messages.

Clarifications:

Complements existing infrastructure - workflows, databases, Cloud, AI:
GenAI-Logic governs what may commit, not how systems are orchestrated or data is stored.
Not an external rules or policy layer or agent:
business logic executes inside the commit runtime, not as callbacks, interceptors, or agent-side enforcement
Not a RETE engine:
Highly optimized for transaction processing

This is infrastructure: a runtime you deploy and operate as the commit control point.

$8 Ent Appliance

Logic as Infrastructure: Deploying the Business Logic Appliance makes
path-independent governance an unavoidable architectural consequence

See the 8-minute creation demo →

Why Procedural GenAI Fails at Business Logic

AI can generate procedural code, using pattern matching. Great for pages, etc.

But pattern matching breaks down on long dependency chains -- the core of business logic.

In our own A/B test:

Five business rules became ~200 lines of generated code
Two correctness bugs emerged
After the second bug, the AI explained why it failed:

“The issue arises from transitive dependencies that cannot be reliably inferred from procedural control flow.”

— AI self-analysis (read it here)

$4 Why Proc GenAI Fails

This is not a prompt problem.

It is a structural limitation.

Addressed with Logic --> DSL --> Engine

Disambiguate (Item.Price: Copy vs Reference)
Human In Loop
Offloads Dependencies:

Not Pattern-Based AI...
But Deterministic Rules Engine

Use Case 1: Governed MCP Server - Running in 4 Prompts

Create Backend directly from existing database

Run created system:

• JSON:API, MCP Discovery

• Admin UI

• ORM Configuration

Declare business logic in NL or Python
- Enforced on commit
- Governs all Paths, all Transaction sources

Test, Extend, Iterate -
- More logic
- Python logic events, custom endpoints
- Vibe Custom Apps, etc

1. Create Backend for Existing Database:

genai-logic create --project_name=basic_demo --db_url=sqlite:///samples/dbs/basic_demo.sqlite

2. Run:

cd basic_demo

sh run.sh

3. Declare Governing Business Logic

$1 MCP

4. Test in Copilot:

On Alice's first order, update the widget quantity to 100

Explore - How It Works

Fits Your Workflow

Use standard Python, your preferred IDE, and existing CI/CD.

No proprietary lock-in.

Supercharges Vibe Development

Use AI to generate code and workflows.

GenAI-Logic enforces business rules at commit time—so AI can move fast without breaking correctness.

Logic as Infrastructure

Rules are enforced automatically at commit across all paths—

apps, services, and agents—ensuring deterministic outcomes.

Standard Deployment

Container-based and cloud-agnostic. Includes automated Azure scripts for a seamless, production-grade setup right out of the box.

$3 Explore

Watch the 8-minute creation demo

Run in Browser with Codespaces

Docs - see how to create it

✅ Free and Open Source - Simple Install, Tutorial with Vibe

Use Case 2: Vibe Development Backend

Ideal Vibe Companion

Vibe tools generate beautiful UIs but need enterprise-class backends. GenAI-Logic delivers production-ready APIs in seconds—with pagination, filtering, security, and governed logic—so you can focus on the UI.

With declarative business logic, creating a system can finally match the way we think about it.

Full-Stack Vibe becomes real.

With backend logic governed and deterministic, WebGenAI can generate UI, API, data, and logic from natural language.

Business + IT Harmony

Business users prototype in WebGenAI.
IT receives a standard, extensible backend — not a low-code black box.

Custom UI Vibe

AI scaffolds full React applications that developers can refine using familiar tools, powered by a deterministic rules engine.

$9 Vibe Vision

WebGenAI - Complete System From Browser Prompt

No Screen Painting, No Database Design

With Business Logic

Business Benefits

The rules govern everything. So the real benefit isn't just technical — it's what it means for your organization.

Speed — Existing systems become governed APIs in minutes. Business users prototype new ideas directly. Vibe accelerates custom UIs. No dev queue.
Agility — New use cases inherit the rules automatically. No rework, no archaeology.
Alignment — Business and IT read the same rules. One source of truth.
Governance — Correctness is built into the architecture. Not bolted on after.

The Same Rules -- Governance and Agility.

$9 Implications

What you don't have to build, maintain or study.

Partners

Fernando Vazquez Nuñez

CEO | Director General

(Strategic Partner)

GenAI Logic allows us to further accelerate the development of innovative software solutions that respond to the growing need for digitalization and process automation. Ontimize Web, our low-code web application framework, allows developers to declaratively implement powerful user interfaces for complex business applications. By integrating Ontimize Web with GenAI Logic, we automatically obtain a robust rules-based backend that fully supports the needs of our frontend and a fully documented API.

Furthermore, the generative capabilities of GenAI Logic allow us to automatically generate 90% of the application from a prompt. That’s really impressive! Most importantly, it means that our developers no longer have to manually declare hundreds of user screens, with their corresponding CRUDs, business logic and API endpoints. They can now focus on understanding the business requirements and designing a user experience that customers will love.

Mark McLellan Director

(Partner)

Rowbot is a new breed of data management platform that enables a true Data Mesh architecture. It allows non-technical business users to integrate data from multiple disparate databases and create a unified view of activity across the organization.

We output a unified dataset and pass that to GenAI Logic. In 2 minutes we have a fully functional application, allowing an analyst to see customer activity across all participating systems.

Then we can incrementally introduce business rules. These rules can range from alerts based on the data to propensity flags for marketing. Users cannot believe how quickly a unified view of the data can be presented and then enriched by the GenAI Logic rules engine.

Thomas Peters Founder

Imagery Business Systems, LLC

(Partner)

I can’t say enough about ApiLogicServer. I’ve been using ALS for a number of years now having successfully delivered several solutions that started as an ALS app. ALS provides us an advantage when not only starting new projects, but also when gathering requirements. Including ALS as a tool within the SDLC has been instrumental in several migration projects as well. This is our bread and butter, and we use ALS more than any other framework in our projects.

I am excited to see the evolution of ALS into GenAI Logic using AI as the nexus for new project implementations. Thank you Val, Tyler and Thomas for a promising and powerful solution. ALS's iterative capabilities are especially helpful; driving the requirements process live with business stake holders. Getting the requirements right is very important in todays competitive market by helping us keep the costs down and ensuring customers are delighted with the outcome.

César Quinteiro Rendo

CTO Intergal S.Coop. G.

(Partner)

*“E-Cometa is a platform designed for the front end, enabling you to generate and maintain your forms on the fly, as well as define and manage processes dynamically. For back-end operations, GenAI allows you to define databases using AI and seamlessly integrate them with ApiLogicServer (ALS). ALS then provides the capability to add simple rules, enabling the creation of complex systems that integrate with your data.

By combining both, you will get a very flexible and powerful solution that allows you to create any web and mobile app easily, making it simple to develop and maintain—even if you are not a technical expert.

We also want to thank ALS for making it possible to migrate from the obsolete Live API Creator (a back-end rules engine with RESTful services), ensuring we could continue innovating with a modern and reliable solution.”*

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Enterprise AI - Governance to Harness its Power.

You can't govern pathsYou can only govern commits

Correct By Construction →

Distilled Rules, Enforced on Commit

1. AI Distills NL Intent into RulesRules live on data - not in execution paths. Reuse is an architectural consequence, not a feature - every path inherits the rules automatically, with no bypass.

2. Commit-Time Enforcement: UnavoidableAll transaction sources converge on a single deterministic commit.

Commit Time Enforcement(The Unavoidable Commit Funnel)

Mandatory for Agentic. Essential for All Systems.

The Business Logic Appliance

Your backend becomes a Business Logic Appliance — ready to plug into your enterprise architecture.

Addressed with Logic --> DSL --> Engine

Use Case 1: Governed MCP Server - Running in 4 Prompts

1. Create Backend for Existing Database:

2. Run:

3. Declare Governing Business Logic

4. Test in Copilot:

Explore - How It Works

Fits Your Workflow

Supercharges Vibe Development

Logic as Infrastructure

Standard Deployment

Watch the 8-minute creation demo

Run in Browser with Codespaces

Docs - see how to create it

Use Case 2: Vibe Development Backend

Ideal Vibe Companion

Vibe tools generate beautiful UIs but need enterprise-class backends. GenAI-Logic delivers production-ready APIs in seconds—with pagination, filtering, security, and governed logic—so you can focus on the UI.

Full-Stack Vibe becomes real.

Business + IT Harmony

Custom UI Vibe

Business Benefits

Partners

Fernando Vazquez Nuñez

CEO | Director General

(Strategic Partner)

Mark McLellan Director

(Partner)

Thomas Peters Founder

Imagery Business Systems, LLC

(Partner)

César Quinteiro Rendo

CTO Intergal S.Coop. G.

(Partner)

Enterprise AI - Governance
to Harness its Power.

You can't govern paths
You can only govern commits

1. AI Distills NL Intent into Rules
Rules live on data - not in execution paths. Reuse is an architectural consequence, not a feature - every path inherits the rules automatically, with no bypass.

2. Commit-Time Enforcement: Unavoidable
All transaction sources converge on a single deterministic commit.

Commit Time Enforcement
(The Unavoidable Commit Funnel)