Morning Briefing
Daily summary of appointments, risks, decisions and relevant documents — directly by email or Teams.
Fuerpass Consulting
We combine enterprise architecture, AI and modern software development to create real business value — secure, scalable and productive.
Enterprise architecture · AI consulting & agents · Cloud & Azure · .NET & Modern Development

Trusted through projects with Austrian Post, ÖBB and BRZ
Fuerpass One
Many organizations already have enough dashboards, reports and tools. The problem is not missing information, but missing prioritization. Fuerpass Consulting connects existing systems and prepares relevant information by role — for executive management, IT leadership, project leadership or specialist teams.
Daily summary of appointments, risks, decisions and relevant documents — directly by email or Teams.
Automatic preparation before important meetings with agenda, SharePoint documents, open items and recommendations.
Condensed signals from Power BI, DevOps, ERP, CRM or inventory data — depending on role, priorities and decision need.
Two pillars, one point of contact
Your personal AI assistant for Outlook, Teams and more. Fuerpass One analyzes existing sources such as Outlook, Teams, SharePoint, OneDrive, Power BI or Azure DevOps and creates personal briefings for executives and teams.
View Fuerpass OneWe support companies in complex IT and AI initiatives — from initial assessment through architecture and implementation to productive rollout.
Consulting offerTrust through Experience
Experience from regulated enterprise and public-sector environments where architecture decisions must carry operations, compliance and delivery at the same time.
Architecture and integration decisions for grown systems in logistics, transport and public sector
Architecture, code, deployment and risks are not split across anonymous roles
ISTQB Certified · IREB Certified · ISAQB Foundation
GDPR, OWASP, audit-readiness and operations are considered from day one
Client references
Problem → Solution
We clarify the technical path, turn risks into decisions and move the first safe steps into delivery.
Consulting & implementation
We support companies in complex IT and AI initiatives — from initial assessment through architecture and implementation to productive rollout.
AI strategy
We assess potential, risks and concrete use cases and translate AI goals into an executable roadmap.
Architecture
We design target architectures, integration paths and technical guardrails for scalable enterprise systems.
Cloud
Azure architectures, operating models and security foundations for modern platforms and AI workloads.
Integration
Implement .NET, APIs, integrations, tests and automation so systems work together reliably.
Operations
Organize rollout, monitoring, governance and ongoing development so solutions remain usable in production.
Resilient Integration Patterns
Enterprise Quality Indicators
Entry packages
Five bounded entry points with outcome, duration and budget range. The first decision stays fundable and the scope stays controlled.
A compact second opinion for one concrete architecture decision or critical system.
Pricefrom EUR 4,900
Assessment of an existing system with a realistic modernization path instead of big-bang promises.
Pricefrom EUR 15,000
From AI ideas to one prioritized, measurable pilot with data, security and operations checks.
Pricefrom EUR 7,500
Ongoing architecture and decision accountability when senior capacity is missing.
Pricefrom EUR 6,400/month
A personal AI assistant for one executive — mail, calendar and documents, on your own infrastructure. Demonstrable live. Four deployment variants from EU cloud through on-prem to agentic, per requirement.
PriceSetup from EUR 9,900, ops EUR 490–1,990/month
Project Proofs
Anonymized project patterns show the artifacts that get delivered: architecture path, CI/CD gates, security baseline, observability and handover.
Critical online service with unstable releases, security risks and missing technical transparency.
Prioritized risks, documented architecture decisions, CI/CD gates, security hardening, observability and operations handover.
Release and operations capability became traceable; detailed metrics and system context remain NDA-bound.
Grown core system with high business dependency, scarce expertise and risky changes.
Strangler approach, interface facade, test strategy, migration path and first safe release cuts.
The program got a modernization path without big bang; technical risks and next releases became decidable.
Many services and interfaces, inconsistent standards, unclear failure causes and growing operations effort.
Defined API governance, gateway/tracing concept, technical standards and responsibility model for operations and future delivery.
Failure causes became easier to narrow down, interface accountability clearer and releases easier to plan.
Grown system landscape, manual documentation and no structured knowledge base for migration and modernization initiatives.
Built a local AI system for anonymized application, source-code and DB analysis, automated documentation and human-in-the-loop review.
Use cases, target pictures, refactoring approaches and prototypes were derived from the existing landscape.
Concrete outcomes and clear accountability — no consulting theater.
Architecture
Public authority with 200,000+ users: unstable releases, outages during peak load (tax filing season), no structured observability. Incident response takes 4+ hours.
Architecture & Delivery
State agency with 15+ year-old legacy system (monolith, on-premise, Oracle DB). Cloud migration without downtime required, business logic must be preserved, no big-bang approach possible.
No confidential client details and no invented metrics: these examples show role, starting point, delivered artifacts and why the approach transfers.
Technical transparency, safer releases and operations handover for a regulated digital service.
Decidable stabilization path with security baseline, observability and clear operations accountability.
Source: docs/02_case_studies.md#case-study-2-stabilization--cloud-modernization-public-sector-at (anonymized).
Unified interfaces, security requirements and operations processes across several systems.
Traceable integration contracts, better diagnosis and clearly governed responsibility for changes.
Source: docs/02_case_studies.md#case-study-4-enterprise-integration-architecture-transport--infrastructure (anonymized).
Local analysis of documentation, applications, source code and database structures, anonymized and human-in-the-loop.
Use cases, target pictures, refactoring approaches and prototypes derived from the existing system landscape.
Source: Anonymized enterprise AI modernization (anonymized).
Approach
You always know who is accountable and what happens next.
Johannes
We identify risks and dependencies — transparently, within one week.
Request assessmentNo big bang — gradual, low-risk transformation
First value delivered in 2 weeks. Not in 2 months.
Short audit with risks and quick wins. Project start typically 1-2 weeks after first contact.
First incremental release with metrics.
Scaled implementation with clear KPIs.
Team & accountability
Johannes owns architecture; Luise leads project management & governance.
No handover gaps · No vendor ping-pong · One accountable owner per topic

Principal architect, AI advisor & technical owner
Architecture and integration decisions, AI architecture and technical ownership. Runs a productive AgentFarm platform with orchestrator, scheduler, signal chains, agent memory, MCP control plane and connectors. Uses AI in enterprise projects for anonymized repository, source-code and database analysis, refactoring, use-case derivation and new applications.

Project management, change management & delivery governance
Planning, prioritization, stakeholder communication, process structuring and documentation—responsible for steering and governance.
Specialists are anonymized and coordinated under the accountable lead; no unmanaged staffing.
Our AI and architecture advice is backed by our own practice — not slides.
Productive agent orchestration with Python orchestrator, scheduler, signal chains, agent memory, MCP control plane, REST API, React dashboard and connectors
Python · Claude Code · Codex · SQLite · MCP · ReactEU tender monitoring for IT freelancers via TED API
Python · TED API v3 · React · TypeScriptFinancial planning & controlling for freelancers
React · .NET 10 · PostgreSQLAI content automation: text, images, reels
Next.js · LLaMA · Stable DiffusionOwnership, not chaos
Contact
We respond within 24 hours with a clear recommendation. Project start typically 1-2 weeks after initial call.