AI agent development for repetitive office tasks
An AI agent is a software component built on an LLM that decides its own next step toward a goal: it calls tools, reads and writes data, and plans further based on intermediate results. We build agents for repetitive, multi-step office tasks: processing incoming requests, moving data between systems, preparing documents, checking and escalating. Where a process is predictable, we recommend a simpler pipeline; we build an agent where the task requires judgment. Pilot in 2-3 weeks, implementation in 6-12 weeks; delivered by a Budapest-based team.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
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Agents pay back when a task has several steps, touches several systems and is slightly different every time: checking and recording an incoming order, preparing a complaint case, assembling a report from several sources. The agent carries the steps through and hands exceptions to a colleague. For a predictable workflow, a simpler pipeline with conditional logic and human checkpoints is enough; the assessment tells you which one you need.
We build and operate production multi-agent systems: document processing pipelines, customer support triage, quality inspection workflows. What we learned there goes into every new system: checkpoint-based state persistence so a failure resumes from the last step, a review point between agents so a bad intermediate result does not travel further, and a log of every decision. Across our 46+ completed projects, automated processes reach a 40-45% efficiency gain; typical ROI is 6-12 months.
A full team carries the work: a project manager, senior developers, and an AI DevOps engineer. We run the EU AI Act risk classification at the start of every project, and we have experience implementing high-risk AI systems. The agents connect to your existing ERP, CRM and document management systems without ripping and replacing.
What we use AI agents for inside companies
Processing incoming requests
The agent reads the incoming email or form, looks up the related data in your systems, prepares the reply or the record, and waits for your colleague's approval. It closes the frequent cases and hands over the exceptions.
Moving data between systems
What is copying between systems today, the agent carries over: an order into an ERP line, an email into a CRM entry, a document into a database record. Every step is logged, so you can see afterwards what went where and from which source.
Reports and summaries from several sources
The agent collects data from several systems, assembles the report or summary, and marks which figure came from which source. Your colleague checks it and sends it on.
Human checkpoints and escalation
The agent closes on its own only what it has a rule for. When uncertain, it stops and hands the case to a colleague with a summary and a suggestion. We define the escalation rules together during implementation.
How does the AI agent implementation work?
- 1
AI opportunity assessment (from HUF 500,000 + VAT)
We walk through the candidate process step by step: which systems it touches, where the decision points are, what counts as an exception. We tell you whether it needs an agent or a simpler pipeline is enough. The output is a written plan with cost and payback estimates.
- 2
Pilot
We try the agent on your own data, on one bounded process, with human approval at every step. A small proof of concept is ready in 2-3 weeks and shows how many cases the system closes on its own.
- 3
Implementation and operations
Integration with your existing systems, monitoring and logging, training for your team. Most projects go from kickoff to production in 6-12 weeks. Source code and models remain yours; we also offer monthly managed operations.
Why Leventech
We operate production agent systems
We have built multi-agent systems for document processing, customer support triage and quality inspection. What we build, we also operate and maintain.
Our team has built production systems since 2013
46+ completed projects, 96% client satisfaction. A project manager, senior developers and an AI DevOps engineer take the project from assessment to production.
EU AI Act and GDPR built into development
Risk classification at project start, logging and human oversight in the design. We have experience implementing high-risk AI systems as well.
Common questions
A chatbot answers questions; a simple automation executes predefined steps. An AI agent decides its own next step toward a goal: it calls tools, reads and writes data, and plans further based on intermediate results. For a predictable workflow the simpler pipeline is the right choice; an agent is worth building where the task requires judgment.
An AI assistant or integration project is usually €15-40K; the price of an agent system spanning several systems depends on the number of steps and integrations. The entry point is the AI opportunity assessment: from HUF 500,000 + VAT. After the assessment you get an exact quote with no hidden costs.
A small proof of concept is ready in 2-3 weeks. Most projects go from kickoff to production in 6-12 weeks; for agent systems spanning several systems, the number of integrations decides.
The agent closes on its own only what it has a rule for; when uncertain, it stops and hands the case to a colleague. Every step is logged, and we work with checkpoint-based state persistence: after a failure, work resumes from the last successful step. In the pilot, every step goes through human approval.
Over secure APIs, without ripping and replacing: your existing ERP, CRM and document management systems stay, and the agent reads and writes in them. The AI appears where your team already works.
Yes. When needed, we deploy on-premise or on your private cloud, with open-source models running on your servers. Your data never leaves your environment. We run the EU AI Act risk classification at the start of the project.
Still have questions?
Start with a conversation
Tell us which repetitive task takes the most time; we tell you whether it needs an agent or a simpler automation is enough.
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