The pilot has stalled
The demo works, but integration, ownership, evaluation and a safe path to production are missing.
Production AI integration · Sofia / Southeast Europe
AI that does
real work.
We integrate AI into real business workflows, data and systems — with clear controls, human oversight and measurable outcomes.
Network fabricOperational
AI orchestrationActive
01 / The problem we solve
From AI idea.
To dependable workflow.
Access to AI is easy. Connecting it safely to the right data, tools and decisions — and proving business value — is the difficult part.
The workflow is manual
Teams lose hours to documents, email, checks and moving context between disconnected systems.
AI use is uncontrolled
People already use AI, but permissions, data, quality and cost remain opaque.
How we work
Start with the workflow.
Not the model.
We select work with clear value, design controls before the build and measure the result against a real baseline.
Explore AI services ↗- 01DISCOVER
AI Readiness & Value Sprint
In two weeks, we assess workflows, data, risk and economics. You leave with a priority use case and a 90-day plan.
- 02BUILD
Production AI Pilot
We deploy one bounded workflow into your real systems with human approval, evaluation, logging and cost controls.
- 03OPERATE
AI Operations & Governance
We monitor quality, adoption, risk and cost, manage changes and improve the system after launch.
03 / SDNiX Production AI Scorecard
Is your workflow ready
for production AI?
We assess six dimensions that determine whether an AI project can move beyond the demonstration.
Assess your first AI workflow ↗- 01Business value
- 02Process clarity
- 03Data readiness
- 04Integration readiness
- 05Control & compliance
- 06Operational readiness
04 / Practical applications
AI where
the work happens.
Knowledge assistant
Reliable access to internal knowledge with citations, roles and access rules.
Document workflow
Document intake, extraction, checking and approval with full traceability.
Operations agent
Actions across email, ERP, CRM, ITSM and approved tools with people in control.
Incident copilot
Context from events, logs and documentation for faster, more consistent response.
05 / Production AI insights
Practical guides to enterprise AI implementation
From AI pilot to production: 7 reasons projects stall
A practical guide to moving from an AI proof of concept to a secure production system with integration, evaluation, controls and measurable outcomes.
Read the article ↗How to choose your first AI workflow for measurable business value
A method for prioritising AI use cases by business value, process, data, integration readiness and risk using a practical production AI scorecard.
Read the article ↗Secure enterprise AI agents: architecture, access and human control
How to design a secure enterprise AI agent with identity, least privilege, tool access, human approval, logging, evaluation and data protection.
Read the article ↗SDNiX / PRODUCTION AI
Have an AI idea
or a stalled pilot?
Start with one workflow. We will help you assess the value, risk and shortest dependable path to production.
Discuss the workflow with an engineer ↗