Which companies benefit from our approach - and which do not.
Operationally Complex: Companies where "it's not so easy"
We work with mid-market companies that need to coordinate different entities, resources, projects, orders, or tasks. Companies for whom standard software is no longer sufficient. Companies whose everyday operations are more complex than the systems they control. These companies have many moving parts – orders, projects, personnel, vehicles, machines, warehouses, schedules – that need to be continuously coordinated. Often even in real-time.
The challenge rarely lies in a single process
But in coordinating the entire system.
Our goal: To transform these companies into tech companies.
With clear data, integrated systems, and AI that reduces operational burdens – instead of relying on Excel, coordination rounds, and workarounds. Data first. Systems work for people – not the other way around.
How We Recognize Operational Complexity
Operationally complex companies often identify with at least one of these points:
| 📊 | Decisions take time because data must first be compiled |
| 🖥️ | Different systems contain different truths |
| 📋 | Excel has become the central control instrument |
| 🔄 | Departments must constantly coordinate instead of relying on a single system |
| 👤 | Processes depend on individuals |
| 📈 | Growth creates stress instead of more freedom |
Many executives sense: Our everyday operations have become more complex than our systems. And most suspect: A new tool will not solve it.
Complexity Is Not a Matter of Size
A company with 80 employees can be operationally simple.
Another with 30 can be extremely complex. The difference lies in three factors:
- Number of moving parts – What all needs to be coordinated?
- Number of interfaces – How many systems, handovers, coordination points are there?
- Dynamics of processes – How often do plans, priorities, and requirements change?
The more these factors come together, the more important system architecture becomes. And the greater the gap between what could be possible – and how the company operates today.
Industries We Often Work With
We are not industry specialists. But we see patterns. Operational complexity arises wherever coordination is at the core of value creation.
| Type | Typical Reality | Examples |
|---|---|---|
| Service Providers | Resource planning, scheduling, capacity management, last-minute adjustments | Service organizations, technical field services, maintenance, facility services |
| Logistics & Fleet | Fleet scheduling, route planning, driver and vehicle coordination, real-time order management | Freight companies, fleet operators, leasing providers, logistics service providers |
| Trade & Distribution | Large variety of items, complex warehouse logic, many interfaces, variants | Technical wholesale, spare parts trade, specialized distribution |
| Project Companies | Quote → Order → Project → Billing, many handovers, resource planning | Plant engineering, B2B project organizations, technical project service providers |
When Our Approach Is Not Meaningful
Not every company needs an AI-powered Operating System. Our approach is not right for:
- Pure knowledge or consulting firms – Complexity lies in content, not in operational coordination
- Creative and marketing agencies – Project management yes, but standard tools usually cover that
- SaaS startups and tech companies – Are already tech companies. Don’t need us for that
- Small local service providers – operationally not particularly complex
- Pure e-commerce companies – Shopify, Shopware & Co. handle most tasks
The Core
We work with companies that are operationally complex, technologically underperforming, and willing to change that. Companies that don’t simply want a new tool – but a system that reflects their real processes. Those who don’t just want to work faster, but freer.
LVIT develops AI-powered Operating Systems for mid-market companies with operational complexity – enabling them to operate like tech companies.