Enterprise AI - Governance
to Harness its Power.

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

Rules are distilled out of applications and paths, and enforced at the commit point. All paths inherit the same governance — MCP requests, AI agents, Vibe apps, workflows.

The result: AI proposes. Deterministic rules decide what persists.

From intent to governed system - in minutes.

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)

New execution paths multiply faster than you can govern them — agents, Vibe apps, workflows, events. The only stable control point is commit.

But commit alone isn't enough.

AI distills path-dependent intent into reusable path-independent rules.

Rules live on data — not paths — so every current and future agent, app, or workflow inherits governance automatically. Dependencies and ordering are computed by the runtime — not inferred from procedural paths or guessed by pattern-based AI.

Critically, intent is preserved. AI-generated procedural code buries logic in 200 lines nobody can read or audit — debugging compiler output.

Rules remain the executable artifact: readable by humans, debuggable in your IDE, and readable by AI...a single prompt generates a complete test suite and Business Rules Report, tracing every requirement to the rule that governs it.

Design Once. Govern All Paths. Correct By Construction.

$5 Logic Arch

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

Rules are enforced once — at transaction commit — regardless of whether the change came from an app, service, MCP client, or agent

Reuse and Ordering are unavoidable architectural consequences of Rule distillation.

They cannot be engineered per-path - they must be architectural.

Use Case 1: AI Rules, Also Enforced on Commit
(Leverage AI Probabilistic Reasoning -- with Deterministic Governance)

Rules can Include Reasoning

For example, here is an AI Rule:

Use AI to Set Item field unit_price by finding the optimal Product Supplier based on cost, lead time, and world conditions

This logic (from GenAI-Logic Context Engineering):

Calls LLM with list of suppliers for a product
LLM chooses optimal
That compute the price
Which is then used - and governed - by other rules

For example, if the Suez Canal is blocked, choose higher-priced suppliers other than Cairo

Governance

AI can make mistakes, so governance is mandatory:

Results subjected to deterministic logic, automatically
Results audited to database (see slides

$2 Plus AI Rules

Leverage the Reasoning Power of AI at runtime

Harness with Deterministic Rules

Rules are enforced by the runtime at transaction commit — including AI-Rules

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 →

Configure your appliance with logic, just as you configure
a DBMS with DDL, or Security with a Users and Roles.

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 2: Governed MCP Server

Create Backend directly from existing database

Run created system:

• JSON:API, MCP Discovery

• Admin UI

• ORM Configuration

Declare business logic in NL or Python
- Declare underlying services (e.g., send email, honoring opt-out)
- Build Apps for Business Users to make MCP requests (send email to overdue orders)
- MCP requests are governed (eg, email opt-out)

Business Users Enabled
- Use an App to make NL requests:
  - Read / update the database (e.g. find customers)
  - Send email

All subject to governing business rules

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 Business Logic

For details,

Create basic logic and an email services - see here
Create MCP client - see here.

4. Business Users Create New Orchestrations with NL

$1 MCP

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 3: Vibe Development Backend

Enterprise AI Automation

Vibe tools generate beautiful UIs but need enterprise-class backends.

GenAI-Logic and your favorite Vibe tools are the dream team:

GenAI-Logic creates backends instantly, for data access with governance
Vibe your Apps with your favorite Vibe tools using the standard JSON:API

Logic Inherited

The API encapsulates the logic, so it's inherited - automatically.

This simplifies Vibe:

App Dev is not delayed waiting for APIs.
Logic is factored out of each app - where it never should have been in the first place. Sharing across apps - and services - is automatic.

Parallel Development

Once logic is factored out of the UI, logic and app dev can proceed in parallel.

Logic changes are inherited in all existing apps, automatically.

Standard tooling

AI scaffolds full applications that developers can refine using familiar tools, backed by the deterministic rules engine.

1. Create Backend for Existing Database:

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

2. Vibe App (e.g. Cursor.ai):

$9 Vibe Cursor

Use Popular Vibe Tools with GenAI-Logic for Custom Apps
Inherit Logic, Automatically

3. Make It Great

Try It Now

Install GenAI-Logic and run any use case above as a 10-minute, start-from-scratch evaluation:

one command → a few Copilot prompts → running system (API + Admin UI + governed rules).

Your AI assistant guides you through creation, rule authoring, and debugging, and can answer evaluator questions like:

“Is this a black box?” “Where do rules execute?” “How do I extend logic?”

[Install and Start →]

Install and Start - Choose a Demo

Use Case 4: Business Users

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.

Use Case 1: AI Rules, Also Enforced on Commit(Leverage AI Probabilistic Reasoning -- with Deterministic Governance)

Rules can Include Reasoning

Governance

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 2: Governed MCP Server

All subject to governing business rules

1. Create Backend for Existing Database:

2. Run:

3. Declare Business Logic

4. Business Users Create New Orchestrations with NL

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 3: Vibe Development Backend

Enterprise AI Automation

Vibe tools generate beautiful UIs but need enterprise-class backends.

GenAI-Logic and your favorite Vibe tools are the dream team:

Logic Inherited

Parallel Development

Standard tooling

1. Create Backend for Existing Database:

2. Vibe App (e.g. Cursor.ai):

3. Make It Great

Try It Now

Use Case 4: Business Users

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.

Use Case 1: AI Rules, Also Enforced on Commit
(Leverage AI Probabilistic Reasoning -- with Deterministic Governance)

Commit Time Enforcement
(The Unavoidable Commit Funnel)