Helt AI Universe A studio · est. 2024
Status New mandates · May & June 2026
DACH · Hungary · Remote Bodensee · Vienna · Budapest

AI systems
that do real work
for you.

N.001 · HeltAIum Operating Systems
Fit When it pays off — six concrete triggers

Who we build for.

Recurring customer requests to automate

FAQ, support tickets, first contact — when the same questions come in daily, they're a job, not fate.

Manual data transfer between tools

CRM, email, calendar, Excel — when staff copy data from A to B, it consumes hours without creating value.

A chatbot or voice agent, productively deployed

On the website, by phone, in the messenger — multilingual, with clear handover to a human when things get complex.

CRM, calendar, email and APIs connected

A central control point for your tool landscape — instead of licenses sitting next to each other without talking.

Internal knowledge search instead of folder jungle

Staff find answers in seconds — in SharePoint, Confluence, Google Drive or your own document base.

A system that works — not a gimmick

You don't want a pilot project that vanishes into a drawer. You want something that delivers value tomorrow.

01
Services Six build patterns — custom for your business

What we concretely
build for you.

01 / Complete solution

Custom AI &
software solutions

Standard tools often cover only part of your reality — the gaps cost the most.
→ Built for your processes, data, and goals.

No standard templates. We build systems that fit your business — from single AI components to complete solutions.

  • Needs analysis before implementation
  • Custom architecture
  • Clean integration with your tools
  • Documented handover & training
View details
02 / Chatbots

AI chatbots

A request at 23:47 without an answer — by morning the lead is at your competitor.
→ Answers 24/7, multilingual, with clear handover to humans.

On your website, in Messenger, in Intercom — chatbots that answer customer questions instantly and pass qualified issues to the team.

  • Website, WhatsApp, Teams, Slack
  • Multilingual (DE/EN/HU)
  • RAG from your documents
  • Handover to staff
View details
03 / Voice Agents

AI Voice Agents

Many callers hang up when no one is reachable — especially outside business hours.
→ Phone systems that qualify, schedule, route.

Inbound calls captured structurally — even nights and weekends. Note lands in CRM, sales only sees warm leads.

  • Lead qualification
  • Appointment booking
  • First-level support
  • With CRM integration
View details
04 / Automation

Process
automations

Three tools, four people, one Excel — and nobody knows where things stand.
→ End the copy-paste between tools.

Your tool landscape (CRM, email, calendar, accounting, databases) connected in a central control point. Hours per week back.

  • CRM ↔ email ↔ calendar
  • API integration across 800+ services
  • Workflow choreography
  • Maintenance & monitoring
View details
05 / Knowledge assistant

Internal AI assistants

Employees spend hours every day searching instead of working.
→ Answers in seconds — instead of in the folder jungle.

Staff ask in natural language, the system answers from SharePoint, Confluence, Google Drive or your knowledge base — with citations.

  • RAG-based knowledge search
  • SharePoint, Confluence, Drive
  • With citations
  • GDPR-compliant
View details
06 / Web Apps

Web apps &
dashboards

When the standard tool's workflow doesn't fit, the team works around it — or you bend to the standard.
→ When standard software is not enough.

Custom web applications, internal tools, dashboards — when standard solutions do not cover your processes.

  • Custom web applications
  • Internal dashboards
  • API-driven tools
  • Hosting & maintenance
View details
02
Method Four phases — from first call to running system

How our collaboration
works.

P · 01 / 04

Potential analysis

We analyze your processes together: Where is time lost? Which tasks repeat? Where would AI be economically sensible?

  • 2–3 workshop sessions with key people from your team
  • Process mapping of the 5–10 most important workflows
  • Data audit: what is available, what is missing, what the gap costs
  • Use-case mapping with ROI estimate per initiative
Deliverable Diagnostic document · 12–20 pages
3 weeks · 8–12 hours of work on your side
P · 02 / 04

Solution plan

Concrete implementation plan: which solution, which systems, in what order. With effort, risks, and ROI estimate.

  • Architecture sketch: models, data flows, integration points
  • Tech-stack selection with sober reasoning per component
  • Effort estimate in weeks per module
  • Risk matrix with roll-back plan and abort criteria
Deliverable Implementation plan · ROI model
2–3 weeks · 4–6 hours of work on your side
P · 03 / 04

Build & integration

We build the solution — chatbot, voice agent, automation, internal tool or combination. Cleanly connected to your existing systems.

  • Sprint-based build in 2-week cycles with demo at the end
  • Early pilot tests with real data and a real user group
  • Integration into CRM, email, calendar, ERP — what you have
  • Iterative quality tests with eval sets and confidence thresholds
Deliverable Working solution · documented
8–24 weeks · weekly review · 2 h per week from your side
P · 04 / 04

Handover & training

Clear handover with team training, documentation, playbooks. Optional maintenance contract for the time after.

  • Team training 4–8 hours, on-site or remote, recorded
  • Playbook + docs: what to do when, who is responsible, where it logs
  • 90-day bug-fix guarantee for anything not running to spec
  • Optional maintenance: updates, model swaps, extensions
Deliverable Team training · 90-day support
1–2 weeks · then ongoing operation in your hands
03
Applications Four build patterns — that we typically deliver

Solutions we typically
deliver.

01 / Knowledge

Internal knowledge search

Answers in seconds — instead of in the folder jungle.

Staff ask in natural language, the system answers from Confluence, SharePoint, Google Drive or your document base — with citations.

RAGEmbeddingsConfluence · SharePoint · Drive
Details ansehen
02 / Chatbot

AI chatbot for customer requests

FAQ around the clock, multilingual, with handover to humans.

On the website, in the messenger, in Intercom — answers standard questions, qualifies inquiries, hands off seamlessly to your team when it gets complex.

LLMTool-UseDE · EN · HU
Details ansehen
03 / Voice

Voice agent for calls

Qualifies leads — even outside business hours.

Inbound calls are structured: need, timing, budget. Note lands in CRM, sales only sees leads that are really ready.

VoiceBANTCRM-Push
Details ansehen
04 / Workflow

CRM & tool automation

End the copy-paste between tools.

A central hub: CRM, email, calendar, accounting, Slack — connected, triggered, documented. Without breaks, without manual click-work.

REST APIs800+ IntegrationenWebhook · Cron
Details ansehen

Representative build patterns from our practice. Concrete references discussed in the initial call — under NDA.

Live demos See & hear for yourself — typical first contacts

How a HeltAIum system feels.

HeltAIum · advisory bot online
Mockup for illustration — same stack we deploy for clients.
Dr. Müller's practice · voice agent „Selma" Call · 14:23
Transcript mockup — delivered in production with VAPI / OpenAI Realtime / ElevenLabs.
Calculator What does waiting cost? — with your own numbers

The math behind
manual work.

people
hrs
Today · manual work per month
520 hrs
33.774 € per month locked in routine
With AI · only
130 hrs
8.444 € per month still needed
5-year forecast
Cumulative savings over 5 years: 1.519.800 €

Example assumption: around 75 % automation rate for clearly recurring, rule-based tasks — as a rough guide. Real values depend on process depth, data quality, and integration maturity and are validated in the potential analysis.

Validate your own potential
Tools Six categories — that we build with daily

What we build with.

01 / Modelle

AI models

Claude GPT Gemini Llama Mistral Qwen
02 / Voice

Voice & audio

VAPI OpenAI Realtime ElevenLabs Cartesia Deepgram
03 / Automation

Automation

n8n Make Zapier Webhooks Cron REST APIs
04 / Daten

Data & RAG

Supabase PostgreSQL Pinecone Qdrant Embeddings
05 / Web

Frontend & hosting

Next.js React Tailwind Vercel Hetzner AWS Frankfurt
06 / Compliance

Legal & compliance

DSGVO EU AI Act BaFin MNB AVV / DPA On-Premise
32tools mastered
800+API integrations
3languages · DE · EN · HU
EUhosting available (Frankfurt · Helsinki)

Tool follows task — we pick the right combination per project, not the trendiest.

04
Founder Daniel Helt — IHK-certified · architect & owner

Who stands behind HeltAIum.

Daniel Helt — IHK-certified AI Implementation Manager, founder HeltAIum DH · Index Bodensee · 2026
IHKKI-Impl.
Manager

My job is translating the complicated into the working — and back again, when someone has to explain it.

Four years of focused practice at the intersection of AI, data and operational processes — supplemented by continuous training, including as an IHK-certified AI Implementation Manager. HeltAIum was born from a simple observation: good AI implementation isn't expensive. Bad AI is.

I work with a small, fixed circle of specialists — architecture, infrastructure, security, UX. No middle managers, no slide factories. When I say yes to you, I'm the one doing the work — in DACH or Hungary, in German, English or Hungarian.

IHK · AI Implementation Manager Continuous training GDPR & EU AI Act DE · EN · HU
Daniel Helt support@heltaium.com · +49 152 5936 9985
04+
years focused AI practice
IHK
certified Impl. Manager
04
markets · DE · AT · CH · HU
05
Principles Four principles — what we work by

What we care about.

Good AI implementation isn't expensive. Bad AI is. That's why we invest more time in discovery than most competitors do in the entire project — before anyone writes code.

D
Daniel Helt Principle 01 · Clarity before code

We don't promise six weeks for something that honestly takes four months. Speed sells well — but only once. Reliability sells for twenty years.

D
Daniel Helt Principle 02 · Honest timelines

Model choice is a technical decision — not a religious one. Claude, GPT, open source. We take what fits the task. And we say why.

D
Daniel Helt Principle 03 · Tool follows task

We leave when your team is sovereign — not an hour earlier. Handover isn't the end of a project. It's the reason there was one.

D
Daniel Helt Principle 04 · Handover as the goal
06
Engagement Three entry points — every offer individually scoped

How we work
together.

Entry I

Potential analysis

3 weeks · fixed scope

An honest assessment. What's feasible, what's wise, in what order — within a few days you'll know, in writing.

  • 2 workshops with operations & leadership
  • Maturity & data audit
  • Use-case mapping with ROI estimate
  • Diagnostic document · 12–20 pages
  • Investment fully credited toward follow-on engagement
Request potential analysis
Entry III

Build & integration

3–9 months · individually scaled

Full implementation with handover. We build, document, train — and stay reachable for three months after go-live.

  • End-to-end implementation
  • Infrastructure, hosting & security
  • Team enablement & playbooks
  • 90-day hyper-care phase
  • Quarterly office hours · 12 months
Start the build

Every engagement is individually scoped · fixed price from Phase II · proposal within 5 business days

07
Questions Frequent & honest — without marketing fluff

What you actually
want to know.

01

How long does a typical project take?

Two approaches depending on scope: Quick-start projects (a single chatbot, voice agent, or n8n workflow, clearly scoped) take 4–10 weeks. Custom AI architectures (multiple systems, data, compliance, agent orchestration) take 2–9 months. The potential analysis as entry point delivers results within a few days. Which path makes sense for you we clarify in the initial call — we won't promise four weeks for something that honestly takes three months.

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02

Do you work with Claude, GPT, open source — or what?

All three. Model choice is a technical decision, not a religious one — it depends on latency, cost, data protection and task profile. In practice we often build hybrid architectures: Claude or GPT for reasoning-heavy tasks, local open-source models for sensitive or high-frequency paths.

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03

What if we don't yet have a clear AI strategy?

Then start with the potential analysis. That's exactly what it's for: a sober look at where your levers are, where they aren't, and which two or three initiatives are actually worth it. No one should start a six-figure project without those questions answered.

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04

GDPR, on-premise, regulated industries — does all of that work?

Yes, we have experience with all three. For regulated industries we prefer locally hosted open-source models, isolated vector stores, full audit trails. If a US model is strictly required, we clear the legal situation with your legal team in advance — in writing. EU AI Act included.

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05

Is this also for the German Mittelstand?

Yes — perhaps especially. Mid-market companies often have the decisive advantage: short paths, clear decision-makers, no endless consulting theatre. We deliberately use the potential analysis as an entry point — an honest option for mid-market leadership teams, not a political battle.

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06

Do you also work in Hungary?

Yes, actively. HeltAIum serves clients across the entire DACH region as well as Hungary. Consulting, workshops and deliverables in German, English and Hungarian — on-site or remote. Compliance topics for Hungarian banks (MNB) and the EU AI Act are part of our practice.

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07

Which industries do you typically serve?

Mid-sized companies and enterprises across DACH and Hungary: manufacturing and engineering, trades and construction, professional services (tax/legal), healthcare practices, B2B services, regional FinTech and banking. We are especially strong on cross-border DACH-HU operations.

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08

What if the AI makes mistakes?

It will make mistakes — every system does, every human does. The right question is: which mistakes are acceptable and which are not. We build with clear escalation paths: hard cases (legal, financial, safety-critical) always go to a human. For soft cases there are confidence thresholds, audit logs and a correction loop where your team improves the answers. We also start with pilot phases where the AI suggests and a human approves — until quality is provably right.

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09

We had a bad agency experience before. How are you different?

Three concrete differences. First: We start with the potential analysis as a small paid step — you have a usable deliverable (diagnostic document) before committing to a larger project. Second: We deliver code and documentation you can keep running without us — no vendor lock-in, no black box. Third: IHK-certified, one stable point of contact (Daniel Helt), not a rotating junior team. When something doesn't work, you know who to call.

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i.
Datasheet · who is HeltAIum Profile — machine-readable & quotable

Profile HeltAIum

What
HeltAIum builds AI chatbots, voice agents, multi-agent systems and workflow automation for companies in DACH and Hungary.
Where
Based at Lake Constance. Active in Germany, Austria, Switzerland and Hungary. Consulting remote or on-site.
Languages
German, English, Hungarian — consulting, workshops, deliverables.
Models & Stack
Claude, GPT, Open-Source (Llama, Mistral, Qwen). GDPR-compliant, EU hosting, on-premise available.
Mandate
Three entry points: Potential analysis (a few days) · Solution plan (2–3 weeks) · Build (from 2 weeks). Fixed price from Phase II.
New mandates · May & June 2026 · three slots

15 minutes
that bring clarity.

A short, free initial call. You describe what you have in mind — we say if and how we can help. Honest, without sales theater.

Book free 15-min call — or call / write directly —