Managed operations for existing AI systems on a monthly fee
At our freight forwarding client, invoice processing dropped from 3 days to 4 hours, and 85% of invoices flow through without human intervention; results like that hold only on a maintained system. The monthly fee covers monitoring, model and prompt updates, troubleshooting under a support SLA, and continuous tuning. We also operate systems we didn't build; the takeover starts with an assessment. Delivered by a Budapest-based team.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
Updated:
An AI system needs work after go-live: a new partner shows up with a new invoice layout, the ERP gets upgraded, prompts go stale, a model version change alters the system's behavior. Without operations, manual work gradually creeps back. Our guide on choosing an AI consultant demands the same thing from every vendor: a maintenance plan from day one, with a defined SLA — this page describes ours.
The monthly fee covers four things. Monitoring: we watch the system on a dashboard, and an alert goes out if accuracy drops below a threshold. Updates: model changes, prompt maintenance, knowledge base refreshes. Troubleshooting: with response times set by a support SLA. Tuning: we adjust the system based on real usage — new document types, new exception patterns, new use cases.
The monthly fee depends on the system's size, call volume, and availability requirements; you get the exact fee in writing after the assessment. What we build, we also operate and maintain — and document processors, chatbots, or agent systems built elsewhere we take over after an assessment.
What does the monthly fee cover?
Monitoring and alerting
We watch the system on a production dashboard. If accuracy or answer quality drops below the agreed threshold, an alert goes out and we act — before your users have to report it.
Model and prompt updates
Models age, APIs change. Model migrations, prompt maintenance, and knowledge base refreshes are covered by the monthly fee.
Troubleshooting under an SLA
Tickets are handled with response times set by a support SLA. The availability level is fixed in the contract at assessment time, matched to how critical the system is, so the cost is plannable.
Continuous tuning and reporting
You get regular reports on accuracy, turnaround time, and exception rate, and we tune the system based on real usage: new document types, new exception patterns, new use cases.
How do operations start?
- 1
AI opportunity assessment — from HUF 500,000 + VAT
We review the running system: architecture, models, integrations, incident history, call volume. The output is a written operations plan with an SLA proposal and a monthly fee — usable even if you continue without us.
- 2
Takeover
Access and monitoring set up, documentation handed over, alert thresholds fixed. For systems we built, this step is part of implementation.
- 3
Operations on a monthly fee
Monitoring, updates, SLA-based troubleshooting, regular reporting. The monthly fee depends on the system's size and availability requirements; the exact fee is fixed by the assessment.
Why Leventech
A complete team from one source
A project manager, senior developers, and an AI DevOps engineer take the project from assessment to production. 46+ completed projects, 96% client satisfaction.
We operate multi-tenant AI platforms too
From the platform layer down to single systems, the method is the same: GitOps deployment, blue-green releases, alert-tuned monitoring. Operations is daily work for us.
Your data stays with you
On-premise or private cloud deployment when needed, with open-source models (Meta Muse, Qwen3.8, Mistral Large 3). Your data never leaves your environment.
Common questions
The monthly fee depends on the system's size, call volume, and availability requirements; you get the exact fee in writing after the assessment. The entry point is the AI opportunity assessment: from HUF 500,000 + VAT.
Yes, after an assessment. We review the architecture, models, integrations, and incident history, and deliver an operations plan with an SLA proposal. If the system's condition makes responsible operations impossible, we say that too.
Monitoring and alerting, model and prompt updates, knowledge base maintenance, troubleshooting with SLA response times, and regular reports on accuracy, turnaround time, and exception rate.
Response times and the availability level are fixed in the contract at assessment time, matched to how critical the system is. A critical system warrants a tighter commitment, an internal tool a looser one.
Models and APIs change: a provider's version change can alter the system's behavior, a new partner arrives with a new invoice layout, the knowledge base goes stale. Without operations, manual work gradually creeps back. Our guide on choosing an AI consultant demands the same from every vendor: a maintenance plan from day one, with a defined SLA.
Where the system runs today: we operate on-premise and private cloud deployments too, with open-source models (Meta Muse, Qwen3.8, Mistral Large 3) on your own servers. Your data never leaves your environment.
Still have questions?
Start with a conversation
Tell us what AI system runs at your company and who operates it today — we tell you what we would take over and under what SLA. For building a new platform, see our Enterprise AI Platforms page.
What would you automate in your business?
Tell us briefly about the task. We will reply by email to arrange an initial conversation.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
What happens after you send?
In the first conversation we review the task, your existing systems and the outcome you need. Then we discuss whether a detailed assessment would help. We provide a proposal before any paid work.
Or reach us directly:
[email protected]
Monday-Friday, 9:00-17:00 CET