AI systems, forged for real work.
We architect and engineer intelligent systems around the way your company actually works — connecting AI, data, documents, software and human judgement into production infrastructure.
AI doesn’t need another window. It needs to become part of the system.
Most AI projects start with a tool and go looking for somewhere to put it. Arvanord starts with the work — what enters the workflow, what should come out, who decides, what the rules are, and what happens when something goes wrong. The architecture is engineered after that.
Documentation that has to agree with itself.
Primary, secondary and network drawing sets for a Nordic grid operator, brought into one revision-aware, register-linked structure — every answer naming the drawing and the revision it came from, with approval left where it belongs: with the engineers.
Systems, not subscriptions.
Technology follows the problem. We assemble agents, retrieval, integrations, interfaces and approvals only where the work demands them.
Company AI infrastructure
The layer your company runs on: knowledge, permissions, integrations and audit — built once, owned by you.
Explore the architecture
Operational systems
Document-heavy work, reporting, coordination and internal operations — re-engineered to run with supervision, not heroics.
Explore operations
Document intelligence
Drawings, schedules, contracts and specifications turned into structured, searchable, checkable data.
Explore documents
AI agents
Agents with real tools, real permissions and a defined escalation path to the person who owns the decision.
Explore agentsEngineering intelligence
CAD, BIM, Revit, AutoCAD and Bluebeam workflows, connected to calculation, rules and documentation through real software integration.
See our engineering
Custom applications
When nothing off-the-shelf fits: agents, retrieval, approvals, audit and monitoring — architected around your actual process.
Discuss a buildEstablished architectures, adapted to your environment.
Substantial systems with proven architectures — faster to purchase than fully custom engineering, deeper than a tool subscription.
Company AI OS
A structured internal AI layer: company knowledge, department assistants, shared agents, permissions and approvals — under one architecture.
AI Sales Engine
From lead to proposal: research, account intelligence, meeting processing, CRM updates and follow-up — engineered as one system.
AI Document Engine
For organizations that process large volumes of PDFs, contracts, reports, specifications, forms and drawings — with validation, approvals and exceptions handled.
AI Operations Engine
Requests, documents, email, data entry, task creation, approvals and reporting — coordinated across the systems your operations already run on.
AI Support Engine
Company knowledge, support inbox, ticketing and customer history connected into one system that prepares answers — with humans in control.
Engineering Intelligence
Systems that interact with Revit, AutoCAD, Bluebeam, CAD/BIM models, technical drawings and engineering documentation.
An AI agent is not a strategy.
Real transformation happens when intelligence becomes part of the system — connected to the right knowledge, tools, permissions, software, workflows and people. That is the difference between experimenting with AI and engineering with it.
AI beyond the chat window.
The hardest systems don’t live inside a chatbot. They read drawings, touch real software, respect business rules and report to a human when the situation changes.
- RevitNative integration
- AutoCADDrawing environments
- BluebeamMarkup workflows
- CAD / BIMModels & geometry
- IFC, DWG, DXFOpen exchange formats
- 3D modelsGeometry and coordination
- Technical drawingsSheets, schedules, revisions
- Engineering calculationsRules, checks, reports
- Design documentationSpecifications and records
- Complex engineering workflowsMulti-party, multi-stage
- DocumentsPDF, Office, drawings
- DatabasesOperational data
- APIsBusiness software
- Business applicationsCRM, ERP, internal tools
How systems get built here.
Seven stages, from the first workflow map to a system your team operates with confidence.
Understand the company.
Map the work exactly as it happens.
Design the system before building it.
Build the production system.
Test against reality, not optimism.
Introduce the system into the real operational environment.
Monitor and improve continuously.
Finished foundations, configured for your company.
Not every business needs a six-month build. Configured, deployed and supported systems that feel like real infrastructure — not downloaded prompts.
Company Knowledge Assistant
Your company's knowledge, answerable.
AI Meeting System
Every meeting, converted into action.
AI Inbox System
A calm inbox, by design.
AI Proposal System
From meeting notes to structured proposal.
AI SOP Builder
Your processes, written down properly.
AI Lead Intelligence System
Know the company before the first call.
AI Document Extractor
Documents in, structured data out.
AI Reporting System
Reports that write themselves.
When the system doesn’t exist, we build it.
Some problems cannot be solved by another SaaS subscription. Arvanord engineers custom systems around complex workflows, proprietary knowledge and operational reality — from the first workflow map to production deployment.
Custom engagements typically start from $15,000 / equivalent.
Intelligent systems are never truly finished.
Production AI needs monitoring, model updates, new business rules and evaluation. Arvanord Ops keeps systems alive after deployment.
Maintain
Monitoring, bug fixes, model updates, minor changes, integration maintenance and a monthly review.
Evolve
Everything in Maintain, plus new workflow improvements, optimisation, evaluation improvements, additional integrations and a monthly development allocation.
AI Department
Arvanord functions as your AI engineering department: architecture, new systems, experimentation, strategy, governance and continuous development.
Learn to think in systems.
Professional education from an engineering company — certificates of completion, early access open.
AI Systems Foundations
Learn what modern AI actually is — and how it fits into a business.
AI Workflows for Business
Map your work, find the opportunities, build the case.
AI Agents & Automation Engineering
Architect agents that survive contact with production.
AI Systems Engineer
The complete journey from business problem to operating system.
Document & Drawing Intelligence
Turn drawings, specifications and tender documents into structured data.
AI in Engineering Practice
Where AI belongs in Revit, AutoCAD, Bluebeam — and the work around them.
AI Governance & Risk
Policy, data boundaries and approvals for AI that has to be accountable.
Building an AI Practice
Turn systems engineering skill into a consultancy that delivers.
Notes from engineering practice.
An AI agent is not a strategy
Real transformation happens when intelligence becomes part of the system — not when a tool arrives.
ReadStart with the workflow, not the model
Model choice is an implementation detail. Workflow understanding is the architecture.
ReadWhen a system should stay small
The most useful thing we have built was not a platform. It removed one recurring evening from two people — and it was still engineering.
ReadWhat we do, in one minute.
The explainer: who Arvanord is, the six disciplines behind every system, and the principle that does not move — the system prepares, your people decide.
Answered plainly.
- What does an AI systems engineering company do?
- Arvanord engineers intelligent systems around the way a company actually works, connecting AI, data, documents, software and human expertise into production infrastructure. The catalogue runs from eight ready-made systems starting at $790, through six productized systems from $5,000, to custom engineering from $15,000.
- What engineering work has Arvanord published?
- Documented Nordic engagements, presented with client details anonymised: grid documentation for an electricity network operator, a tender desk for an engineering consultancy, native BIM handoff with an MEP consultancy, drawing production in CAD environments and industrial technical documentation. Measured figures appear only where a client has agreed to publish them.
- How much does an Arvanord system cost?
- Published starting points are $790 for a ready-made system, $5,000 for a productized system, $15,000 for custom AI systems engineering, and $1,500 per month for Arvanord Ops Maintain. Academy programs cost $65 to $495. Final scope is confirmed before implementation begins.
- Where is Arvanord based, and how does contact work?
- Arvanord is based in the Nordics, with Stockholm named in its credibility line, and works with clients globally across 4 currencies: USD, EUR, SEK and NOK. System briefs go to systems@arvanord.io, general enquiries to hello@arvanord.io, and an engineer replies typically within one business day.
What should your company never have to do manually again?
Your company already has the workflow. We build the intelligence around it.