Practical AI automation for SMEs — clear, hands-on, no hype
We help you find and automate the business processes where too much time is still lost on emails, PDFs, spreadsheets and repetitive admin work.
- No off-the-shelf chatbot
- We build on your existing workflows
- Small steps, measurable outcomes
Document processed
rfq_2026_05.pdf
- TypeRequest for quote
- Tasks3
- Missing fielddelivery deadline
- Suggested replydrafted
Where does time leak in most SMEs?
Email chaos
Quote requests, follow-ups, deadlines and customer replies all get tangled in daily inbox traffic.
PDF and Excel copying
Data from invoices, orders, contracts and spreadsheets ends up moved by hand from one system to another.
Slow quoting
The customer waits, information lives in many places, and previous quotes are hard to find.
No clear process
Tasks live in heads, emails or scattered spreadsheets — easy to forget or duplicate work.
What kind of AI solutions do we build?
Not generic "AI magic" — concrete, usable tools: document processing, searchable knowledge bases, task generation, quote drafting and internal assistants.
Document processing
- PDFs, contracts, invoices, quotes
- extract key data fields
- searchable document library
AI assistants
- search internal company knowledge
- draft replies and quote outlines
- support staff with repetitive questions
Workflow automation
- organize incoming requests
- auto-create tasks
- status, audit logs and reports
Custom integrations
- connect to existing systems
- APIs, databases, file storage
- cloud or your own infrastructure
Examples where AI delivers value quickly
Construction
Organize RFQs, contracts, completion certificates and invoices. Retrieve previous documents and prepare quote drafts.
Accounting and admin
Sort incoming documents, flag missing fields, prepare client communication and track deadlines.
Manufacturing and trade
Process, export and validate orders, SKUs, quantities, deadlines and supplier documents.
Most projects start with a small, well-defined process. You do not need to change everything at once.
How does an AI automation project start?
Short assessment
We look at where time is lost, what repeats often, and where the tangible upside lies.
Mini demo or prototype
We show a working example on a concrete process — not a long study document.
Roll out in small steps
We automate one part first, measure the impact, then build out from there.
Operate and tune
The system is not a science project: logging, fixes, extensions and support are part of the work.
Why Dendora?
- Decades of software engineering experience
- Backend, frontend and infrastructure under one roof
- We do not just glue AI tools together — we build a working business system
- Hungary-based, available for on-site discussions in the region
- Custom builds, not one-size-fits-all templates
What can we show in a short demo?
PDF to task
Upload a document — the system detects the type, extracts key data and suggests tasks.
Company document search
Ask natural-language questions across past quotes, contracts or descriptions.
Quote drafting
An incoming request becomes a draft, checklist or reply email.
Frequently asked questions
Not necessarily. We usually start from a specific process, but we work with building blocks that can be customized quickly.
That is not the goal. In most cases we add a smarter layer next to existing email, files, spreadsheets or internal systems.
It always depends on the specific solution. Already at design time we consider what data goes where, what logging and access control is needed. On request we can deploy on your own or an isolated infrastructure.
For a well-chosen sub-process, a working prototype can be ready in a short time. The goal is not a big promise — it is a small, measurable first step.
No. We work internationally and remotely; for local clients we can also meet in person to walk through processes.
Let us see where AI could save you time
A short conversation is usually enough to tell whether AI automation makes sense for you, and if so — which process to start with.
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