Latest blog posts by Paweł Szczepanik

AI pilot to production: five organizational reasons enterprise AI POCs stall, and the operating model that moves them into production.

An AI factory operating model turns pilots into repeatable delivery: five building blocks, a governed use case pipeline and a phased path to scale.

AI assortment optimization for retail and CPG: data readiness, demand transference, SaaS versus custom build, and proving the result on the P&L.

Data platform modernization for fintech and insurance under DORA: target architecture, migration sequencing and keeping regulatory reporting live.

Nearshore data engineering teams in Poland: staffing or delivery, three engagement models, the EU jurisdiction case and how to vet a partner.

What an Apache Airflow managed service includes, how it differs from MWAA and Cloud Composer, and how providers define, measure and accept data outcomes.

What AI Act compliance consulting covers, which deadlines apply to you, and how Articles 9–15 translate into engineering deliverables you can audit.

When your MLOps stack can't tell if an LLM feature is improving, LLMOps consulting fills the gap. What it covers, six signs you need it, how to choose.

What an enterprise RAG project actually includes: engagement phases, why demos stall before production, custom vs RAG-as-a-Service, and cost drivers.

What AI agent development services include, how the level of autonomy drives cost, typical price ranges, delivery timelines and the ROI metrics to track.