AI consultants in Hungary since 2021. Conversational AI, automation and AI features, scoped against your real processes by a Budapest team in your timezone. Awarded AI Solutions Company of the Year.

Source: https://easifytechnologies.com/ai-consulting-in-hungary/

Budapest, Hungary

AI consulting in Hungary.

We have been building software from Budapest since 2021, and AI work is now most of what clients ask us to scope. As AI consultants our first job is conversational AI, automation and AI features inside products people already use, assessed against your actual processes rather than against a demo.

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Corporate LiveWire named us AI Solutions Company of the Year in 2023. Our other awards are for web, WordPress, React and SEO, and we do not dress those up as AI ones.

What we are asked for

Four jobs, and one of them is saying no.

• Where AI is worth using, and where it is not

  The first output is usually a shorter list than the one you arrived with. Most processes that look like AI problems are reporting problems, and we would rather tell you that in week one than bill you for a model that automates a bad process faster.

  AI consulting

• Conversational AI that can hand over

  A chatbot or voice assistant that answers from your own documentation, and reaches a person with the transcript attached when it cannot finish. A bot with no exit is a customer service problem wearing a technology costume.

  Custom chatbots

• Automation and AI agents for the work nobody should be doing

  The handoffs between systems that a person currently does by copying between tabs, and the multi-step jobs an agent can now run end to end, with a person approving the step that matters. We size it against your real volumes before you commit, not after your first bill.

  AI automation

• Prototypes finished properly

  If something already exists out of Lovable, v0, Bolt or Cursor, that is a specific job with a specific shape: server-side authorisation, a real data model, tests on the paths that cost money if they break.

  Prototype to production

Why a team here

AI scoping is a conversation, and conversations have a timezone.

• Central European Time

  A question at ten in the morning gets an answer before lunch, not overnight. For a discovery phase that runs on conversations rather than tickets, that is most of the value.

• English or Hungarian

  Briefs, workshops and calls in either. The people you talk to are here; the engineering team is in India, and we tell you that at the start rather than letting you work it out from an invoice.

• A team you can meet

  In person, in Budapest, before you commit budget to something you cannot yet see. AI scoping in particular goes badly over email.

• Your data stays yours

  We will tell you what leaves your systems, where it goes and what it is used for, before anything is connected. If the honest answer is that a use case needs data you cannot send to a third-party model, that is a finding, not an obstacle to talk around.

How it runs

Five stages, and you can stop at any of them.

1. Stage 1

   A conversation about the process, not the model

   What the work is now, who does it, how often, and what going wrong costs. No tooling is chosen at this stage.

2. Stage 2

   A written assessment

   Which use cases are worth doing, in what order, with an estimate against each and an explicit list of what we recommend not doing. Fixed price, and yours whether or not we build it.

3. Stage 3

   One narrow thing, in production

   The smallest use case that produces a real result, running against real data with a person still in the loop. This is where assumptions meet reality cheaply.

4. Stage 4

   Measure it against the old way

   Time, error rate, cost per item. If it did not beat the process it replaced, that is the finding and we say so.

5. Stage 5

   Widen it, or stop

   Extend to the next use case, hand it to your team with documentation, or stop. All three are acceptable outcomes and the second is common.

Shipped

AI work that is in production, not in a deck.

• SaaS Platform Development for a Home Services Agency

  Rostavo

• Product Design and Build for a Social Discovery App

  Meetlyr

• AI MVP Development for a Database Querying SaaS

  Easify AI

Questions

The things people ask first.

What does AI consulting cost in Hungary?

Our rate is €25 to €45 per hour with a €1,000 minimum. A custom chatbot typically runs €3,000 to €10,500 depending on how much of your content needs preparing and how many systems it has to reach. An assessment is fixed-price and quoted after the first conversation, and it is yours whether or not we build anything. Every band is published on our pricing page.

Are you actually in Hungary?

Yes. The company has been operating from Budapest since 2021, and the people you would work with are here on Central European Time. The engineering team is in India. We would rather state that plainly than have you discover it after signing.

Do you have an AI track record or just a web one?

Both, and they are separable. Corporate LiveWire named us AI Solutions Company of the Year in 2023. Our other awards are for web development, WordPress, React and SEO, and we do not present those as AI credentials. The AI work we can point at is shipped product: an AI MVP for a database-querying SaaS, and SaaS platforms with AI features in them.

We are not sure AI is the answer. Is that a wasted conversation?

No, and it is the most useful version of the conversation. A good assessment often concludes that two of five candidate use cases are worth doing and the other three are reporting or process problems wearing an AI costume. You get that in writing, with the reasoning, which is worth more than a proof of concept nobody can deploy.

Are you an AI consultancy or a development agency?

Both, and that is the point. Plenty of AI consultants in Hungary will hand you an assessment and leave; plenty of agencies will build whatever you ask for without telling you it is the wrong thing. We do the assessment because we then have to live with what it recommends, and we say no to use cases we could have billed for.

Will this lock us into one model vendor?

We design so the model is a replaceable part, because pricing and capability in this category move faster than any other software cost. Where a use case genuinely depends on one vendor, we say so before you commit rather than after.

Can our own team run it afterwards?

Yes, and that is a real option rather than a courtesy. It is documented for people who have not seen it before, and clients have taken builds in house after launch. The alternative is that we run it monthly, and we will tell you which we think fits.

Tell us the process. We will tell you whether AI is the answer.

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