Innovative
Enterprise Architecture
Prozess-Automatisierung, KI-Integration und Enterprise Architektur — als Grundlage, um Effizienz zu steigern und innovative Lösungen umzusetzen.
Samuel JanzenEnterprise Architecture Vision 2030
The Starting Point in Larger Enterprises
The Complexity Challenge
1,000s
Organization
- Thousands of Employees
- Dozens of Locations
- Multiple Countries
- Partner Network
100s
Data
- Hundreds of Data Sources
- Dedicated Data Silos
- Data Responsibility Complexity
- Data Strategy Shift
Processes
- Diverse Process Landscape
- Process Variation Complexity
- “As-Is” Process Uncertainty
- Fragmented Process Landscape
100s
Systems
- Hundreds of Applications
- Legacy Interfaces
- Growing number of Technologies
- Central legacy systems
The consequence: decisions take weeks instead of days. There is a lack of transparency. Innovation is slowed down.
Enterprise Architecture Vision 2030
Operating Model for the Future
Intersectional Projects
Product Teams
STRATEGY
enables ↓
enables ↗
Enterprise Architecture
Business Architecture
Data Management
AI & Innovation
Solution Architecture
Integration
Cloud & Infrastructure
Security
↑
Agile Transformation
Demand Management
→
Product Portfolio Management
Project Management Framework
→
Resource Planning
↑
Change Management
Mindset Change
→
Team Change
→
Org Change
Enterprise Architecture Vision 2030
EA Foundation: Constraints of Success
▲
Maturity Level
AI / Automation / Innovation
Team Empowerment
Complexity Reduction
Forward-thinking Architecture
Data Quality & Management
Process Harmonization
Data Orchestration
Efficiency
FOUNDATION
Reality in Enterprises
The Department of Unmade Decisions
“Surprisingly, this is our most expensive department.”
The Key Question
How can we master complexity
instead of being mastered by it?
◎How can we make faster, better architecture decisions?
⌕How can we create transparency across our entire landscape?
↗How can we empower teams to work innovatively?
The answer: a solid EA foundation. — But how do we gain speed?
Today
EA Tied to Human Resources
EA / Process RepoProcesses, Inventory, Technologies
Data LakeData Products, BI, Data Mining
PMO / ProductsProjects, Product Roadmaps, OKRs
StrategyStrategy papers, Guidelines, Principles
all routed
⟶
through
👤
Knowledge, context & coordination live in people's heads.
The bottleneck: every cross-domain decision depends on the availability of a few key people — slow, fragile and hard to scale.
EA in 2030
From Repositories to an Autonomous EA Companion
EA / Process RepoProcesses, Inventory, Technologies
Data LakeData Products, BI, Data Mining
PMO / ProductsProjects, Roadmaps, OKRs
StrategyGuidelines, Principles
⟶
🤖
EA Companion
Autonomous evaluation · proactive analytics · concept & draft creation
HARDENED
OUTPUT
OUTPUT
⟶
👤
Humans decide on hardened, ready-to-use output.
↑ Input via autonomous research agents
OpportunitiesMarket watch · economy · competitors · trends — continuously scanned and fed into the Companion.
Architecture
Technical Outline
EA Companion
Agent Orchestrator
↙ ↓ ↓ ↓ ↘
Strategy Agent
Project Agent
Product Agent
Research Agent
Evaluation Agent
→
Short time memory
→
Task memory
→
General memory
Connectors via MCP / API
↕↕↕↕
Extensions
Process Repo
Data Warehouse
Data Objects
Documents
Portfolio/s
Roadmaps
External Sources
Build on what exists
Making Use of Existing Technologies
AI ModelsGPT, Claude, Gemini
Automationsn8n, make
Third Party ToolsStackgini, Ardoq
Data SourcesSnowflake, Databases
Other AgentsDemand Agent, ITSM, Use Case Finder
AI Adoption PlatformLangdock, Plotdesk, Amber.AI
Indexed DocumentsRAG Storage
Structured DataPostgreSQL, MSSQL
Markdown KnowledgeGitlab, Github
Value Proposition
The Value of a smart EA
70%
Less coordination effortfor coordination, analysis and planning.
10x
Faster decisionsfor architecture, innovation and project decisions.
5x
Better detectionof risks and opportunities.
↗
Data-driven decisionscontinuous value growth across the enterprise.
Transformation
7 Dimensions
👥
People & Organisation
Global digital competence & cross-region collaboration
▣
Business Architecture
Strategic investment, process excellence, transparency
⛁
Data Management
Data as strategic asset, unified platforms
🏭
Applications
Orchestrated integration & smart-factory solutions
☁
Cloud & Infrastructure
Multi-cloud strategies & security by design
⇄
Integrations
API-first & event-driven integration
✦
AI & Innovation
AI-enabled decision intelligence & automation
⟳
EA FoundationEnterprise Architecture Vision 2030
Mission-Aligned · Objective-Driven · Capability-Enabled
🎯Company Vision
↓ Alignment
◎Strategic Objectives
↓ Execution
⚙EA DeliverablesGovernance · Capabilities & Processes · Applications · Data · Integration · AI & Innovation
EA as strategic enabler: delivering business value today, shaping business strategy tomorrow.
SJ