https://mh-applied-ai.com/en/insights/ Company news, founder perspective, and field notes for deploying enterprise AI. en https://mh-applied-ai.com/en/insights/why-work-with-mh-applied-ai/ https://mh-applied-ai.com/en/insights/why-work-with-mh-applied-ai/ A practical answer for enterprise leaders choosing between global AI vendor teams and a neutral, local-market deployment partner. News Mon, 27 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/agents-to-embodied-ai/ https://mh-applied-ai.com/en/insights/agents-to-embodied-ai/ A staged path from assistive workflows to bounded agents and physical systems, with governance and human control increasing at every step. Field note Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/cloud-vs-private-ai/ https://mh-applied-ai.com/en/insights/cloud-vs-private-ai/ An executive framework for deciding where enterprise AI should run across cloud, private infrastructure, local devices, and hybrid systems. Field note Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/forward-deployed-ai-engineering/ https://mh-applied-ai.com/en/insights/forward-deployed-ai-engineering/ A practical operating model for moving AI from a promising demonstration into an owned, measurable production system. Field note Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/open-source-first-enterprise-ai/ https://mh-applied-ai.com/en/insights/open-source-first-enterprise-ai/ How enterprises can preserve choice and inspectability while assigning real ownership for models, serving, security, and lifecycle operations. Field note Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/token-efficient-enterprise-ai/ https://mh-applied-ai.com/en/insights/token-efficient-enterprise-ai/ Reduce AI operating cost and latency by improving context, routing, model choice, caching, and evaluation—not by blindly shortening prompts. Field note Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/why-mh-applied-ai-exists/ https://mh-applied-ai.com/en/insights/why-mh-applied-ai-exists/ AI delivery breaks when strategy, engineering, operations, and adoption are separated. MH – Applied AI was created to keep them in one mission. News Sun, 26 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/marcel-haas-ai-journey/ https://mh-applied-ai.com/en/insights/marcel-haas-ai-journey/ More than 20 years of platform transitions shaped Marcel Haas’s view that AI needs operational depth, not a separate innovation theater. News Sat, 25 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/people-ai-delivery-model/ https://mh-applied-ai.com/en/insights/people-ai-delivery-model/ MH – Applied AI combines senior engineering and agentic execution under a visible commercial model instead of treating AI usage as an opaque surcharge. News Fri, 24 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/strategy-to-deployment-partnership/ https://mh-applied-ai.com/en/insights/strategy-to-deployment-partnership/ The MH – Applied AI partner model connects executive direction, organizational readiness, and accountable engineering without turning platforms into strategy. News Thu, 23 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/robotics-operations-to-embodied-ai/ https://mh-applied-ai.com/en/insights/robotics-operations-to-embodied-ai/ Marcel Haas’s robotics context connects high-availability AutoStore operations with today’s open social-robotics and enterprise AI systems. News Wed, 22 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/foundry-local-hybrid-ai/ https://mh-applied-ai.com/en/insights/foundry-local-hybrid-ai/ How to decide between on-device Foundry Local, managed cloud models, private serving, and a hybrid architecture using evidence instead of deployment ideology. Field note Tue, 21 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/foundry-private-networking-data-boundaries/ https://mh-applied-ai.com/en/insights/foundry-private-networking-data-boundaries/ An enterprise architecture guide to inbound access, outbound dependencies, DNS, identity, agent networking, and validation for a private Microsoft Foundry deployment. Field note Mon, 20 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/foundry-evaluation-production-gates/ https://mh-applied-ai.com/en/insights/foundry-evaluation-production-gates/ A practical evaluation system for Microsoft Foundry applications—from representative datasets and task metrics to traces, release gates, and production monitoring. Field note Sun, 19 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/foundry-agent-service-production-controls/ https://mh-applied-ai.com/en/insights/foundry-agent-service-production-controls/ How to choose between prompt agents, hosted agents, or an external runtime—and place identity, tools, limits, and human control around each. Field note Sat, 18 Jul 2026 00:00:00 GMT Marcel Haas https://mh-applied-ai.com/en/insights/microsoft-foundry-enterprise-platform/ https://mh-applied-ai.com/en/insights/microsoft-foundry-enterprise-platform/ A practical executive guide to deciding where Microsoft Foundry belongs in an enterprise AI architecture—and what the platform cannot decide for you. Field note Fri, 17 Jul 2026 00:00:00 GMT Marcel Haas