What does Fuerpass Consulting help with?

Fuerpass Consulting helps enterprise teams modernize legacy software, stabilize delivery, design Azure architectures and introduce AI-assisted development with named accountability.

Who is accountable for architecture decisions?

Johannes Fuerpass is the accountable solution architect and technical lead for architecture decisions, risk assessment and technical delivery leadership.

Which role does Luise Span cover?

Luise Span supports project management, requirements structuring, stakeholder coordination, delivery governance, process topics and change management.

Which regions and languages are supported?

Fuerpass Consulting supports projects in Austria, Germany and the European Union, with communication in German and English.

AI Architect / AI Ambassador

Operational AI delivery, not strategy theater

We bring AI agents, Claude Code, automation and enterprise architecture into real business processes: hands-on, traceable and accountable.

Relevant for projects involving Claude, Claude Code, ERP/data processes, reporting, enablement and on-site adoption.

Deutsche Version: AI-Architect-Seite

Project fit

Tech stack: Claude, Claude Code, VS Code, APIs
Practice: Productive AgentFarm and enterprise AI use cases
Delivery: Architecture, coding, automation, enablement
Team: Johannes Fürpaß + Luise Span available on site

Why we fit AI Architect mandates

Hands-on AI architecture

We do not only describe target states. We build AI-supported workflows, integrations, agents and automations for productive use.

Enterprise modernization

20+ years in critical systems at Austrian Post, ÖBB and BRZ: architecture, interfaces, cloud, CI/CD and governance.

Operational adoption

Luise Span complements technical delivery with process, purchasing, ERP, master data and change-management experience.

Enterprise AI in practice

Anonymized AI analysis at Austrian Post

At Austrian Post, Johannes Fürpaß uses AI not as a demo but for concrete architecture and modernization work in grown enterprise landscapes.

Analysis of existing documentation, applications, source code and database structures
Anonymized preparation of code, DB and system information for secure AI use
Repository analysis, refactoring approaches and modernization proposals with human-in-the-loop
Derivation of use cases, target pictures, implementation proposals and new applications/prototypes

Own platform

AgentFarm as productive proof

Our AgentFarm is an internally productive orchestration platform for specialized AI and automation agents. It shows that we do not only explain agents; we operate, monitor and integrate them into workflows.

Python orchestratorSchedulerSignal chainsAgent memoryMCP control planeREST APIReact dashboardTelegram/Teams connectorsAudit logsRetry/backoff

Typical outcomes in a mandate

AI-supported workflows

Automation of manual tasks, data preparation, order intake, analysis processes and reporting support.

Data and ERP proximity

Master-data harmonization, data migration, interfaces, system transfers and clean data flows as the basis for AI use.

Enablement and governance

Training internal teams, human-in-the-loop rules, tool guidelines, review processes and management-ready transparency.

Two-person team for technology and adoption

AI Architect / Solution Architect

Johannes Fürpaß

AI architecture, agents, Claude Code, integration, APIs, coding, cloud, enterprise architecture and technical ownership.

Operations / Change / Processes

Luise Span

Certified Purchasing Manager, change-management certified, experience with ERP-adjacent processes, master data, purchasing, administration and stakeholder communication.

Make AI processes concrete

For mandates where AI needs to be brought productively into operations, teams and data structures.

Remote + on-site

Enterprise-experienced

Governance-aware

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