
Platform
To Deploy AI Inside Regulated Business Processes, We Fundamentally Change How AI Interacts With Core Logic. Metiz Enforces A Strict Architectural Boundary Between System Design And System Execution.
We use generative AI for what it is good at — reasoning, structuring, translating intent into specifications. We deny it execution authority entirely.
Platform
Metiz is built on a strict separation of concerns. AI operates only at design time — reasoning, drafting, and refining. Execution is handled by a compiled, deterministic runtime that AI cannot reach.
This isn't a guardrail bolted on after the fact. It's the architecture. Every application built on Metiz inherits audit-readiness, policy enforcement, and behavioural consistency by default.

Layer B
AI-assisted design.
Layer B is the design-time environment. It translates plain-English domain requirements, compliance rules, and business logic into a structured, machine-readable format. AI is used here for what it does well: reasoning through complex workflows and generating a comprehensive application blueprint.

Natural language intent is translated into a versioned, human-readable domain-specific language. No code required. No hidden logic.

Layer B designs. It does not execute. AI cannot trigger operations, access data, or bypass policies. The runtime sits entirely in Layer A.

Every design iteration is versioned. Rollback is instant. Change history is auditable. You always know what ran and when.
Layer A
Governed runtime.
Layer A is the production environment. It takes the versioned blueprints generated by Layer B and executes them through a strict, compiled deterministic engine.
Given the same inputs and the same blueprint, Layer A executes the same operation every time. No room for hallucination, unprompted deviation, or logic drift.
Security, RBAC, and multi-tenancy isolation are enforced at the root of the runtime. AI cannot bypass these rules because it does not have access to the execution layer.
Before a blueprint is allowed to run in Layer A, it undergoes automated schema validation against every structural and security requirement. Failed blueprints never reach production.
Dual Interface
Modern enterprise software must serve both human operators and autonomous systems. From a single Layer B blueprint, the Layer A runtime automatically generates and sustains two interaction surfaces.
A fully responsive, accessible browser interface rendered in real time for human operators to execute tasks, review data, and manage cases.
A governed Model Context Protocol tool surface designed explicitly for AI agents. External or internal autonomous agents call business operations through it securely.
Whether triggered by a human click or an agent tool call, every action runs through the same deterministic logic and is recorded in a single, unified compliance log.
Under the Hood
Metiz's AI-native zero-code platform helps businesses independently design, manage, and scale complex workflows. Built on industrialised standards designed to scale across regulated network boundaries.
User-friendly drag-and-drop interface for quick workflow building or modification.
Deploy AI, machine learning, and data analytics for smarter decisions and automation of complex tasks.
Connect with existing systems or third-party applications for a cohesive technology ecosystem across operations.
Whether small startups or large enterprises, scale without compromising performance or security.
Built into every layer of the platform, ensuring compliance with global standards.
How It Works
Four steps from plain-English requirement to a running, auditable application. No custom code. No drift.
— Design
Use visual modeling tools to map out your processes.
— Automate
Apply rules, set up workflows, and integrate services without code.
— Deploy
Go live in a fraction of the usual time, with zero downtime deployment.
— Manage
Monitor and adjust your processes with real-time analytics and reporting.
A 30-minute walkthrough with a Metiz solutions architect.