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What we learn deploying software into regulated businesses: hosting, compliance, voice, agents and the arithmetic behind build or buy.
A carrier can commit a shipment and lose its reply. How Replan recovers approved transfers without a second dispatch or releasing held stock too early.
Every month we check GDPR, AI Act, ePrivacy and accessibility law. The runner has internet but no model, the AI routine has a model but no internet, and git sits between them.
What sits behind one call to a voice agent at a golf club near Vienna: booking-API middleware, a post-call webhook, evaluation criteria, extracted fields and a callback queue.
We rebuilt a live practice chatbot by recording the running deployment and listing its gaps. The new build keeps its knowledge in a file regenerated from the site and stores chats in sessionStorage.
How we run AI agents with nobody watching: hard limits on time, tokens, money and disk, a kill that reaches every process, and councils that challenge each answer.
How Jotunn tests a forecast: cross-validation that cannot leak, calibration checks, and a hash-chained record of every prediction written before the outcome is known.
Five merged fixes in ioredis, jose, js-base64, colord and jsdiff, and what each taught us about reproducing, scoping and explaining a fix for clients.
How Model Context Protocol is changing how AI connects to business systems. Architecture, security, and what CTOs need to know about the shift from chatbots to agents.
Hardware requirements, software stacks, performance benchmarks, and 12-month cost comparisons for deploying open-source LLMs on your own infrastructure.
The 5 highest-ROI automations for small businesses, realistic costs, and what you can actually achieve with a modest budget in the DACH market.
Red flags, discovery call questions, pricing models, and technical due diligence criteria. Everything you need to evaluate before signing with an AI agency.
TCO breakdown with real numbers for 3 company sizes. Data sovereignty, latency, and when each approach makes sense under GDPR.
Beyond chatbots: the 4 types of AI agents, real use cases per industry, implementation costs, and the mistakes companies make when deploying them.
Enforcement milestones, risk classifications, documentation requirements, and penalties up to €35M. A practical compliance guide for Austrian companies.
How AI document processing transforms Letter of Credit validation. ROI math, UCP 600 compliance, and implementation timeline for trading companies.
The STT-LLM-TTS pipeline explained. Latency benchmarks, cost comparisons vs human agents, and 5 use cases transforming how companies handle calls.
PewDiePie built a 10-GPU AI council that runs completely offline. Here's why this approach, self-hosted, private, and continuously learning, is exactly what we implement for enterprise clients.
A comprehensive security analysis comparing messaging platforms for deploying private AI assistants. Blockchain encryption, data sovereignty, and compliance compared.
Step-by-step guide to implementing a custom AI assistant that learns your business without sharing data with external platforms. From architecture to deployment.
Navigate EU AI Act and GDPR requirements for business AI. Data residency, consent management, and compliance frameworks explained for Austrian companies.
ROI analysis comparing custom AI development to SaaS platforms. Decision framework for enterprise buyers evaluating build vs. buy options.
How AI transforms Letter of Credit validation for trading companies. Reduce compliance errors by 95% and eliminate demurrage fees with automation.