We're ARXOFT.
We architect, build and integrate AI systems for enterprise and industrial operations.
Our engineering discipline comes from industrial automation and control systems, where interfaces, operating limits and verification are part of the design. We bring that discipline to AI applications, agents and the workflows around them.
Authority
is designed.
Orchestrator · six specialists · human releaseAI gets real room to work. Some things are never delegated. Release stays with people.
Orchestrator
Decomposes the request, assigns the work, keeps it within agreed permissions.

Research
contextEvery answer traces back to a source.

Code
implementationAgents work in a sandbox, with only the tools the task needs.

Test
verificationHeld-out tests in a simulated environment, before anything ships.

Review
quality & limitsStatic analysis, security scan and permission check on every change.

Documentation
traceable outputEvery decision is logged: who asked, which agent acted, what changed.

AI Cost & Delivery
operating modelCost is measured per completed task, with runtime budget limits.
Evidencealongside every step
Evaluation, verification and observability that show what the system actually does, with limits named.
Release approval
The orchestrator coordinates. The agents do the work. A person decides what gets released.
We don't ask how to add AI.
We ask what system must exist around it for the work to run reliably.
Three disciplines, one system
- 01Architecture
- 02Engineering
- 03Evidence
Where we begin
- 01Engineering workflows
- 02Requirements
- 03Systems engineering
- 04Technical documentation
- 05Verification & test
- 06Operation
- 07Software delivery
Three stages. Each ends with something you can use, verify and own.
- 01BlueprintOne workflow, decided and architected.Ends with A decision: build, adjust or stop.
- 02BuildThe workflow, engineered into operation.Ends with A verified system, released by you.
- 03HandoverBuilt to be run by your team.Ends with A verified hand-over. Your team runs it; we do not.
Give AI real work. Engineer what happens next.
Not less AI. AI you can trust with more — because it's clear what it does, what it may do, and who decides.
Bring us a workflow worth engineering
Project Alpha is fictional
