Thorsten Jänichen | Modernization & AI
Legacy Modernization · AI Orchestration

I modernize the systems
you can't afford to break

Twenty-year-old .NET and SQL platforms, migrated incrementally with AI orchestration—validated against production behavior, without the big-bang rewrite. Then I help you turn AI from a line-item cost into real delivery gains.

25+ Years Enterprise Experience .NET · Cloud · Enterprise Data AI · Agentic Workflows · MCP
What I do Bring me a problem →
Your code & data

The first question on a modernization engagement is never "which model" — it's how AI touches your proprietary code and production data without leaking or breaking anything.

I work inside your environment and access controls—scoped permissions, audit trails, and human review on every change. Governance is the starting point of the engagement, not a clause at the end.

Services

What
I do

I work two ways—advisory that de-risks the decision, and hands-on delivery on scoped pieces. Either way, every engagement is scoped to a concrete outcome, not open-ended hours.

01

AI Integration Assessment

I evaluate where AI fits in your existing stack—auditing workflows, identifying high-impact integration points, and delivering a concrete adoption roadmap covering LLM selection, tool architecture, and agentic automation patterns.

02

Legacy Modernization — Roadmap & Delivery

I de-risk the migration of legacy .NET and SQL Server systems—defining modular architectures and incremental migration paths, then executing scoped migrations with AI orchestration so you modernize without disrupting what already works.

03

Architecture Review & Advisory

Independent technical due diligence for teams evaluating AI tools, planning cloud migrations, or navigating architectural decisions. Vendor-neutral guidance grounded in decades of enterprise delivery.

04

Agentic AI & Tooling Development

Custom tool APIs, MCP servers, and data connectors that let AI assistants work with your proprietary systems—databases, internal APIs, and existing workflows. AI that takes action in your actual environment.

Deep Specialization

Agentic AI for
enterprise systems

I connect AI to the systems your business actually runs on—building the full integration layer (tool APIs, data connectors, orchestration logic, safety guardrails, and governance controls) so AI assistants can work with your proprietary databases, internal APIs, and existing workflows.

Tool & API Integration
MCP, REST, internal systems
Multi-Agent Orchestration
Coordinated AI workflows
Safety & Governance
Access controls, audit trails
Enterprise Data
.NET, SQL Server, Azure
Approach

How I
work

Every engagement follows the same structured path—built to minimize risk and leave you with no black boxes.

01

Assess

Understand your current systems, team capabilities, and business objectives. Identify where AI integration or modernization will have the highest impact.

02

Architect

Design a concrete implementation plan with clear milestones, technology choices, and risk mitigation strategies. No black boxes.

03

Implement

Build and integrate incrementally. Deliver working prototypes early, validate against real data, and iterate based on feedback.

04

Support

I make sure your team can own and evolve what I've built—knowledge transfer, documentation, and ongoing advisory as needed.

Work

Representative
engagements

Selected work reflecting the depth and range of my practice.

Enterprise AI · Full Case Study →

AI-Assisted Development Workflows for a Legacy Platform

Context
A two-decade-old .NET/SQL platform with critical business logic locked in legacy stored procedures needed to accelerate modernization without disrupting daily operations.
Approach
Built a custom MCP server ecosystem connecting AI assistants to the codebase, database schema, and internal documentation. Designed agentic workflows for code analysis, migration planning, and automated test generation.
Outcome
Delivery velocity rose roughly an order of magnitude while reverts stayed well under 1%—with AI-assisted analysis replacing weeks of manual discovery on each module.
Modernization

GPU Analytics Engine & Cloud Migration

Context
A geospatial technology company needed real-time daylight and visibility simulations for urban planning—replacing analysis workflows that previously took weeks.
Approach
Architected a high-performance GPU analytics engine using NVIDIA OptiX, migrated desktop applications to Blazor WebAssembly, and introduced Azure-based CI/CD for continuous deployment.
Outcome
Analysis turnaround went from weeks to real-time. The platform scaled from desktop-only to cloud-delivered, serving engineering teams across multiple countries.
Visualization

VR Infrastructure Planning System

Context
A major port authority needed a way for 150+ engineers to visualize and plan temporal infrastructure changes in 3D, replacing static planning documents.
Approach
Led development of a Unity-based VR visualization system with temporal simulation capabilities, integrated with existing enterprise MVC systems for cost estimation and project management.
Outcome
Delivered a system used daily by engineers for infrastructure planning, reducing miscommunication and enabling spatial decision-making that was previously impossible with 2D documents.
About

About
the practice

I'm Thorsten Jänichen, a software engineer and architect with over 25 years building and modernizing enterprise systems across Europe and North America—now working independently, by design.

I pair deep enterprise engineering—multi-terabyte SQL Server environments, high-performance GPU analytics, cloud-native Azure—with hands-on AI orchestration: agentic migration pipelines, MCP server development, and spec-driven delivery. The person you talk to is the person who does the work.

I take the engagements where senior depth is the difference between a modernization that works and one that quietly fails—and where AI has to work within your existing systems, not despite them.

C# / .NET SQL Server Azure Claude / MCP Blazor Unity DevOps
Thorsten Jänichen

Thorsten Jänichen

Principal Engineer · Montreal

B.S. Computer Science
University of Applied Sciences Rapperswil, Switzerland
Production AI orchestration
MCP server ecosystems, agentic migration & verification pipelines — shipped to production
25+ years across
Switzerland, Germany, UK, and Canada
View LinkedIn Profile
Contact

Start with the hard part

If you're sitting on a legacy system you're afraid to touch, or AI spend that isn't paying off—that's the conversation I have. Tell me the problem, and I'll tell you straight whether I can move the needle.

info@jaenichen.ca LinkedIn

Montreal, Canada · Select engagements · Remote & on-site