Systems engineered to run real operations.
Four ways to work with Arvanord, from complete custom engineering to systems deployed this month. Every layer shares the same architecture discipline.
Custom AI Systems Engineering
Large custom systems engineered around complex workflows, proprietary knowledge and unusual software.
Productized Systems
Repeatable, configurable architectures for small, medium and large companies.
Ready-Made Systems
Focused systems deployed quickly for teams and small businesses.
Arvanord Academy
Professional education that teaches the method behind the systems.
Established architectures, adapted to you.
Systems with proven architectures adapted to your environment — substantial enough to run departments, faster to purchase than fully custom engineering.
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.
Finished foundations, configured quickly.
Focused systems for teams and small businesses — real systems, deployed and supported, not downloadable 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.
Systems that keep living.
Every system can be covered by Arvanord Ops: monitoring, updates, evaluation and evolution 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.
Answered plainly.
- What are the Arvanord systems?
- Arvanord offers six productized systems: Company AI OS, AI Sales Engine, AI Document Engine, AI Operations Engine, AI Support Engine and Engineering Intelligence. Each is an established architecture configured to your environment, with published starting points from $5,000 and typical ranges reaching $40,000.
- How much do the productized systems cost?
- Starting points are $5,000 for the AI Sales Engine, AI Document Engine and AI Support Engine, and $7,500 for Company AI OS and the AI Operations Engine. Engineering Intelligence is priced as a custom configuration, scoped per environment and toolchain rather than a published range.
- How long does implementation take?
- Implementation runs 3–10 weeks depending on scope: the AI Sales Engine and AI Support Engine take 3–8 weeks, Company AI OS and the AI Operations Engine 4–10 weeks, the AI Document Engine 3–10 weeks, and Engineering Intelligence is scoped per environment.
- Do the systems replace our existing software?
- Arvanord systems connect to the software you already run instead of replacing it. Company AI OS covers eight departments — Sales, Operations, Management, Support, Finance, HR, Engineering and Marketing — on one governed knowledge layer linked to SharePoint, Microsoft 365, Slack, Teams, CRM, ERP, databases and internal APIs.
Not sure which layer fits? Start with the problem.
Describe the workflow. We will tell you honestly whether it is a ready-made system, a productized architecture, or custom engineering.