Software development & AI automation
EITS builds custom software, connects the systems you already use and automates routine processes with AI. We start with one process, show it working on your real data, and only then build further.
Services
A focused set of services that often work together: an automation usually needs an integration, and an integration sometimes needs a small app around it.
Take repetitive, rule-heavy work off your team: documents, emails and requests are read, checked and passed to the right system or person.
Assistants that answer from your own documents and systems, show where each answer comes from, and hand over to a person when they are not sure.
Web applications and internal tools built around how your company actually works, not around the limits of a generic product.
Connect the systems you already pay for, so data is entered once and the same numbers appear everywhere.
How we work
Each stage has a written scope and price before it starts. You can stop after any stage and keep everything built so far.
We talk through the process, the systems involved and what a good result looks like for you.
A written proposal: what we build, what we don't, timeline, cost and how we will measure the result.
One process or one feature, working on your data in a limited scope. You decide whether to continue.
Full implementation, testing, documentation and onboarding for the people who will use it.
Monitoring, fixes and changes as your process evolves, or a clean handover to your own team.
What you can expect
Code repositories, infrastructure and service accounts are set up in your company's name.
We agree with you which hosting and AI providers may process your data. Self-hosted models are an option where required.
Automations send unclear or high-risk cases to a person instead of guessing.
Every stage starts with a written scope. Changes are discussed and agreed before they are made.
Each delivery comes with documentation your team can read without us in the room.
Not sure which process to start with? That is what the intro call is for.
Book an intro callExamples
Typical scenarios for the kind of work we do. Each one is shaped to your systems during the proposal stage.
Your team reviews exceptions instead of typing every invoice.
Every request reaches the right person with context, the same day.
Agents spend their time on the cases that need a person.
Illustrative scenarios, not client case studies.
FAQ
No. Checking what data exists and how reliable it is is part of the first stage. If a process is not ready for automation, we will tell you and suggest what to fix first.
It depends on scope. After the intro call we send a written estimate for each stage. The pilot is kept deliberately small, so you can judge the result before committing to more.
Usually yes, if the system has an API, an export or another reliable way to read and write data. We confirm this during the first stage, before any build work.
We agree in advance which providers may process your data and use plans whose terms exclude training on it. Sensitive fields can be masked, and where needed models can run on your own infrastructure.
We choose per project and prefer widely used, well-supported tools, so your team or another contractor can maintain the result later.
Either we continue with a support agreement, or we hand the system over to your team with documentation and access to everything.
Contact
A few sentences are enough. We'll reply by email to arrange an intro call.