Secure by design
Protected data, signed integrations, and local AI options are considered as part of the system—not added later.
Building dependable automation
AI business automation, built for the real world.
I build practical AI automation projects focused on secure workflows, reliable integrations, and business operations.
Automation system Operational
Workflow corevalidated · recoverable
Webhooks
Local AI
PostgreSQL
How I build
Automation is only useful when it can be trusted.
Built to recover
Backups, restore drills, health checks, and rollback procedures make failure a scenario to plan for.
Focused on operations
Each project starts with the business process: the people, handoffs, data, and repeated work behind it.
Selected work
Systems, not demos.
Projects are documented around the operational problem, the decisions behind the build, and how the system behaves when things go wrong.
AI Business Automation Platform ABAP
The problem
Small business processes often depend on disconnected tools, repetitive manual work, and automation that is difficult to monitor or recover. ABAP explores how those workflows can be managed securely from one platform.
What I built
A Docker-based platform bringing employee management, CRM, invoices, protected documents, scheduled workflows, background workers, signed integrations, provider-independent AI, and operational recovery into one system.
Build progressMilestone 8 in progress
Cloud deployment and HTTPS work are now underway.
Technology
- Python
- FastAPI
- PostgreSQL
- Docker Compose
- n8n
- HMAC webhooks
- llama.cpp
- Qwen
- Automated testing
- Encrypted backups
Project siteComing soonabap.dennisbasadre.com
Live applicationComing soonapp.dennisbasadre.com
Product view coming soon
This reserved space will hold a real ABAP screenshot after the public deployment.
Next in the workshop
More projects in development.
New AI automation case studies will be added here as they are ready to document—without placeholders masquerading as finished work.
About
Building the practical layer between AI and business work.
I build practical AI automation projects focused on secure workflows, reliable integrations, and business operations.
My current work uses Python, FastAPI, PostgreSQL, Docker, webhooks, and local AI to turn business processes into tested, recoverable systems. This portfolio documents what I build and what I learn along the way.
Follow the work on GitHub