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    AI strategy, intelligent automation & digital engineering for the DACH mid-market

    AI strategy, intelligent automation and software engineering. From assessment to production system.

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    WHAT WE DO
    01 / 03
    AI strategy, intelligent automation and software engineering. From assessment to production system. All from one source.
    FOR WHOM
    02 / 03
    Mid-market and enterprise across Europe who want to see results, not PowerPoint.
    HOW
    03 / 03
    In weeks, not months. We build, debug and ship, without overhead, with direct access to leadership.
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    Services

    Three building blocks, one system.

    We combine analysis, architecture and implementation, with clear outcomes. From a reliable view of potential, through production automation, all the way to complete software solutions.

    01 / 03

    Potential Analysis & AI Readiness

    Identify potential. Assess maturity. Make confident decisions.

    The status assessment is the logical first step of every project, so our collaboration begins exactly here. The goal of this work package is to do all the groundwork needed to plan the implementation of new technologies, features or automations and to reliably estimate their effort and impact.

    Where does real value arise, and is the foundation for it already in place? Not every problem needs AI, and no AI project delivers ROI on unclear processes or patchy data.

    That is why we assess two levels in a single pass: your digital maturity as the foundation and your AI readiness as the next step. Our approach draws on recognised models: the acatech Industrie 4.0 Maturity Index¹ for digital maturity, and established AI-readiness frameworks² for the AI part.

    • Process and data analysis with maturity assessment
    • AI readiness check incl. governance and risk review
    • Prioritised potential matrix with effort-value scoring
    • Implementation roadmap with clear recommendations
    DURATION2–4 weeks
    FORMATWorkshops · interviews · data & process analysis
    OUTPUTMaturity report · potential matrix · roadmap
    IMPACT-EFFORT MATRIX · EXAMPLEvalue vs. effort
    QUICK WINSSTRATEGICOPTIONALAVOIDhigh valuelow value
    low efforthigh effort
    Demand forecasting (AI)
    Central data platform
    Digitise documents
    Invoice intake
    FAQ chatbot
    Fully autonomous agent
    AutomationAI · AgenticDigitisation · Data
    02 / 03

    Intelligent Automation

    Automate processes. Reduce effort. Run autonomously.

    We automate business processes where manual work costs time and creates unnecessary complexity. The focus is relief in daily operations, from processing incoming documents through system integration to decisions that are currently made manually. AI Agents increasingly become the standard tool, helping to understand information and advance tasks independently while maintaining control.

    • End-to-end automation of business processes
    • AI Agents for decision logic and process orchestration
    • Document processing with OCR and AI
    • Integration into ERP, CRM and specialist systems
    • Human-in-the-loop for controlled approvals
    • Scalable rollout of successful use cases
    STACKWorkflows · Integration · Automation · AI Agents
    LOGICDocuments · Data · Decisions · Rules · LLMs
    DEPLOYEU cloud · on-prem · hybrid · securely integrated
    AUTOMATION WORKFLOW · EXAMPLEproduction
    INPUT
    invoice.pdf
    request.msg
    purchase-order.xlsx
    PROCESSING
    ⚡ AI
    OCR + Classificationok
    AI Agent: Extractok
    Validate & Routerun
    HANDOVER
    Human Approval
    Post to ERP
    Audit Trail
    Typical use casesProcess incoming documents · Classify requests · Extract and validate data · Prepare approvals · Automate handovers to ERP and CRM systems
    03 / 03

    Full-Stack Software Engineering

    We build complete digital solutions. From architecture to stable operation.

    Based on your requirements, we design, build and operate modern full-stack applications: user-centred front ends, reliable back ends, APIs, data models, integrations and cloud infrastructure. The focus is secure architecture, clean code, automated testing, CI/CD, observability and a handover that enables your organisation to operate and evolve the solution.

    • Requirements analysis, solution design and technical architecture
    • Front end, back end, APIs and data models
    • Cloud infrastructure, security and identity integration
    • Tests, CI/CD, observability, documentation and handover
    LANGTypeScript · Python · SQL
    INFRACloud · IaC · containers
    HAND-OVERCode · tests · docs · runbooks
    app/api/orders/route.tsmain
    // Full-stack feature with auth, validation and observability
    export async function POST(req: Request) {
    const user = await requireRole(req, "operations")
    const input = OrderSchema.parse(await req.json())
    const order = await service.createOrder(input, user)
    metrics.increment("orders.created")
    return Response.json(order, { status: 201 })
    }
     
    $ npm run test && npm run build
    Plan: tests pass, typed API, zero downtime
    Method

    Four phases. Lean, focused, transparent.

    A typical itereon engagement runs in four phases, each with a clear output and a go/no-go decision. You stay in control, we bring the pace.

    01
    Week 1–2

    Discovery & Assessment

    Deep kick-off, analysis of IT landscape, mapping of data assets and stakeholders. By the end of this phase we know where the biggest potential lives.

    • Kick-off workshop
    • IT & data audit
    • Stakeholder interviews
    • First hypotheses
    02
    Week 3–4

    Strategy & Roadmap

    Prioritisation of use cases, technology recommendations with costs, an actionable roadmap and a go/no-go recommendation per use case.

    • Potential matrix
    • Business cases with ROI
    • Tech roadmap
    • Go/no-go decisions
    03
    Week 5–8

    Prototyping & PoC

    We build the first production-near prototype on your data. Live demo, feedback loop, ROI validation, before the big investment.

    • Production-near PoC
    • Live demo on real data
    • Feedback integration
    • ROI validation
    04
    From week 9

    Implementation & Hand-over

    Production deployment, team training, full documentation and 3-month support. After that the system belongs to your team, no vendor lock-in.

    • Production deploy
    • Team training & docs
    • 3-month support
    • Scaling plan
    AFTER 4 WEEKS

    You know which use cases will deliver ROI, before you invest big.

    Projects

    What we build.

    Selected projects from our service pillars — ongoing and completed. From the first proof of concept to production systems in daily use.

    Full-Stack Software DevelopmentLive · Closed Beta

    4granted.eu

    The AI platform for grant applications that convince.

    For 4granted we built a complete SaaS platform that lets grant consultancies, companies and research institutions write their EU grant applications faster and more structured, from the first briefing to a submission-ready, source-based proposal. Context-aware AI text generation, a single knowledge base and program-aligned templates (FFG, Horizon Europe, EIC, ERC, MSCA) form the core.

    • Context-aware AI right in the editor. Improve, shorten, translate
    • Single knowledge base as the source for all applications
    • Program-aligned templates with versioning (DE / EN)
    • Fully automated, transparently traceable proposal generation
    Our roleConcept · Architecture · Full-stack development · AI integration · Cloud operations
    Stack & scopeTypeScript · React · LLM pipeline · EU cloud · GDPR-compliant
    app.4granted.eu
    Horizon Europe · Proposal100%
    1. Project description100%
    2. Objectives & scope100%
    3. Financing72%
    4. Economic potential40%
    generating · source-based · audit-proof
    Why itereon

    Small enough to be fast.
    Big enough to deliver.

    The big consultancies have wonderful PowerPoints. But fast they are not. We are.

    01

    Fast and focused

    Weeks, not months. No waterfall, no overhead. Agile delivery with direct access to leadership, no telephone-game layers.

    02

    Technical depth

    We're scientists and engineers. Slide production isn't our business. We build, we debug, we ship.

    03

    AI-First

    AI isn't a buzzword for us. It's lived reality. We never had to retrofit our ways of working to AI; it's part of our DNA.

    04

    No vendor lock-in

    Clean code, full documentation, clear handover. After implementation, the system is yours. We stay available for maintenance, but we aren't required.

    05

    EU data residency

    EU cloud by default (Frankfurt, Vienna), on-prem on request. GDPR-compliant by design, never as a workaround.

    06

    Clear phases instead of T&M

    We work in clearly scoped phases with defined deliverables. Before each phase starts you know what you'll get and how success is measured.

    Team

    Who actually
    builds it all.

    Engineers, scientists and business-IT specialists. No subcontractor pyramid. You talk directly to the people working on your project.

    Core Team03 co-founders
    Dr. Johannes Weinberger
    Dr. Johannes Weinberger
    Co-Founder · CEO

    As founder of itereon, Johannes combines over a decade in scientific and commercial leadership with a deep passion for technology. With a PhD in the natural sciences and a track record of scaling deep-tech companies, he turns complex visions into real business solutions. His focus: deploying GenAI and digital transformation in ways that give organisations a decisive edge.

    Christoph Antesner, MSc, MLBT
    Christoph Antesner, MSc, MLBT
    Co-Founder · CTO

    Driving digital transformation, Christoph blends more than 10 years of automotive experience with cutting-edge technology expertise. Master's in mechanical engineering at TU Munich and in law & business at JKU Linz. From cost engineer to agile architect of digital processes. Specialty: fusing classic controlling and process optimisation with data analytics, RPA and agentic engineering.

    Ferdinand Regner, MSc
    Ferdinand Regner, MSc
    Co-Founder · CIO

    As co-founder and software engineer, Ferdinand combines technical depth with an entrepreneurial perspective. A master's in finance & information management at TU Munich, alongside stops as entrepreneur, VC analyst, asset manager, process-mining analyst and product manager, shapes his versatile view. His lead developer role at EY's Blockchain Competence Center and freelance work across DeFi & RWA protocols ultimately shaped his focus on building production-ready applications with deep blockchain integration.

    Partners & Experts03 specialists
    Dipl.-Ing. Alexander Prüller
    Dipl.-Ing. Alexander Prüller
    Partner · Data Science & AI Expert

    As a technical physicist (TU Vienna), Alexander bridges scientific analytics and modern software engineering. Before itereon, he built AI-powered applications and scalable AI platforms at 3BG across a range of industries. His focus: implementing machine-learning models and automating complex data processes, from proof-of-concept to production.

    Simon Stammler, BSc
    Simon Stammler, BSc
    Partner · Senior Consultant

    Simon acts as a bridge between complex business processes and technical excellence, combining strategic thinking with hands-on coding expertise. After completing his studies in Business Informatics at TU Vienna, he has gained extensive experience since 2016 as a Tax Technology expert at EY, where he optimized SAP landscapes for global enterprises. His core strengths lie in project management and a strong passion for hands-on development.

    Ouassim Fari, MSc
    Ouassim Fari, MSc
    Technology Advisor · AI & Architecture

    As an AI and machine-learning engineer, Ouassim helps teams turn messy data into working systems. His focus: practical ML, clustering and segmentation, predictive modelling, and reinforcement-learning-style decision agents, bridging experimentation to production with clean engineering. He also teaches AI with a hands-on, builder mindset, making advanced concepts usable for real products and workflows.

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