Operational Depth.
Engineered with AI Precision.
I'm an AI Systems Architect designing production-grade automation for B2B sales, voice AI and business operations. I combine 16 years of logistics and B2B leadership with 7 years in the DACH market and hands-on AI implementation — building systems that reduce repetitive work, sharpen lead handling and let teams focus on qualified opportunities.
Most AI implementations fail because they lack business context. I design systems that understand the operational “Why” before automating the “How”.
— Piotr Kaczmarek · AI Systems Architect
Production Voice-AI Engine
A complete AI Voice Sales Engine — not a single tool or dialer, but an orchestrated system designed for real B2B operations. It runs outbound and inbound conversations in EN, DE and PL, qualifies interest, captures structured outcomes and feeds them cleanly into your CRM. Built to support sales teams and amplify their reach, not replace the relationships that actually close deals.
- Multilingual business communication across EN / DE / PL
- Tight integration with leading CRM and pipeline tools
- Conversational flows aligned with your qualification criteria
- Structured call outcomes ready for sales follow-up
End-to-End Sales Pipeline Automation
I design data workflows and AI-driven processes that turn fragmented sales activity into a structured pipeline. Lead intelligence, qualification, follow-up logic and CRM hygiene — engineered as one operating layer so commercial teams stop firefighting and start working only the opportunities that matter.
Python-based automation and AI extraction for turning unstructured operational inputs into structured business workflows.
- Built Python utilities for logistics data processing, document and text extraction, and structured field capture.
- Implemented API-based validation, deduplication and batch processing for operational datasets.
- Created scheduled reporting workflows to monitor data quality, workflow status and business activity.
- ›Built Python-based automation tools for extracting and structuring operational business data.
- ›Designed AI-assisted extraction workflows for text, screenshots and documents.
- ›Implemented API-based address validation and data quality checks for logistics workflows.
- ›Created deduplication and batch-processing utilities for larger operational datasets.
- ›Developed scheduled reporting workflows for automated status and data quality updates.
- ›Connected AI extraction outputs with structured workflow and CRM-ready processes.
16-Year Industrial Backbone
I design AI systems with the discipline of someone who has run real operations. Process, accountability and edge cases are built in from day one — not patched on after launch.
Practical Product Mindset
Beyond pipelines, I think in products: how a sales team will adopt a tool, how a dashboard tells the truth quickly, how an AI workflow earns trust through clear interfaces. Automation that nobody uses is wasted infrastructure.
Built across proven AI and automation platforms.
Built across LLM platforms, voice AI tools, automation platforms, CRM systems, APIs, webhooks and no-code/low-code product builders.
Bring AI in-house with
an architect, not a vendor.
For founders, CTOs and headhunters: a direct line to a practical AI Systems Architect. 16 years of operations, 7 years in DACH, voice AI and sales automation built hands-on with real commercial pressure in mind.