MARTIAN & MACHINE FRAMEWORK

The execution framework for enterprise AI operations

Agentic Factory enables enterprises to deploy and operate AI agents across real business operations.

ENTERPRISE AI REALITY

AI experiments are everywhere. AI operations are rare.

Most companies have already launched AI 
pilots - copilots, chatbots, and internal tools.

But very few have built the infrastructure and operating model required to run AI inside real operations. Without an execution framework, pilots remain fragmented and rarely scale.

Agentic Factory was designed to close that gap.

Mission

Scalable AI Operations

Agentic Factory provides the infrastructure and execution model needed to move from experimental AI to production AI.

01

Deploy AI

Launch AI agents directly inside operational workflows

02

Connect Systems

Integrate AI with enterprise applications and data

03

Govern AI

Monitor, control, and manage AI performance in production

04

Scale AI

Expand AI across teams without rebuilding infrastructure

ARCHITECTURE

New layer of operations

Agentic Factory sits between your interfaces, business applications, and your systems of record, orchestrating AI agents across enterprise workflows.

Interaction Layer
Instant Messaging Apps
AI Assistant / Agentic Dashboard
Business Applications
Interaction Layer
Agents Building Infrastructure
Custom Agents
External Agents
System Of Record
This architecture manages:
Agent orchestration
AI agents executing operational tasks
Workflow execution
Automated processes across systems and teams.
System integrations
Connections to ERP, CRM, APIs, and internal tools.
Governance and permissions
Audit trails, compliance controls, and human oversight.
Monitoring and observability
Visibility into performance, reliability, and operational impact.

Deployment

A structured deployment model designed to move organizations from scoping to live AI operations quickly

Nr.
Phase
Objective
Output

01

Operational Discovery
We map your existing workflows, identify the highest-ROI automation opportunities, and define a deployment plan tied to specific business outcomes - not generic AI potential.
Operations map + ROI model

02

Agent Deployment
We deploy the Agentic Factory infrastructure layer and configure pre-built agents to your specific workflows, data sources, and compliance requirements. No templates - battle-tested components.
Configured agent layer

03

AI Operations
We go live with full governance rails from day one - audit trails, human-in-the-loop escalation, performance monitoring, and compliance reporting built in, not retrofitted.
Live governed AI operation

04

Expansion
We expand the agent layer across additional workflows, continuously optimise performance, and manage the operation on your behalf - or hand over to your team with full documentation and support.
Scaled AI operations layer

Outcomes

Production AI operations

01

Production AI in weeks

Pre-built agent infrastructure means configuration, not construction. Most deployments go live in 4-8 weeks from scoping to production.

02

Governance by default

Audit trails, compliance controls, and human escalation paths are built into the framework - not added later. Enterprise-grade from day one.

03

Measured ROI

Every deployment is scoped against specific business outcomes. We track performance against those outcomes and report on them continuously.

04

Built to scale

Adding new agents and workflows never requires a rebuild. The infrastructure layer expands - your investment compounds, not resets.

04

Fully operated

We don't just build and leave. We monitor, optimise, and operate the agent layer on your behalf - or train your team to take over on their terms.

Stop running AI pilots.
Start running AI operations.

Offices

Where we operate

Berlin

Saarbrücker Str. 19
10405 Berlin
Germany

Zagreb

Ul. kneza Branimira 41,
10000, Zagreb

Croatia

Riyadh

(Coming soon)