Data that decides, not just reports.
Editorial hub on the operational layer of AI in the enterprise: how to build a data foundation models can rely on, how to turn dashboards from reports into action recommendations, and how to automate market monitoring. Three pillar studies, each with verifiable figures and primary sources — Gartner, McKinsey, Deloitte.
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Data Foundation
AI-ready data architecture: versioned ETL, a central warehouse, vector stores and embeddings on your critical sources, exposed to agents via MCP. Without it, 60% of AI projects fail (Gartner).
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Decision Hub
Real-time decision intelligence: dashboards that recommend actions, predictive scoring and integrated alerting. The difference between seeing a chart and knowing what to do with it.
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Market Command
Automated market intelligence: competitors, prices, trends and LLM visibility monitored continuously. Daily refresh, weekly reports, signals that matter filtered from the noise.
Studies
Three pillar pieces, one per product line. Quality over volume — we publish when we have data and a clear angle.Data Foundation: why 6 in 10 AI projects fail on data, not the model
AI-ready data architecture, step by step: versioned ETL, central warehouse, vector stores, embeddings and the MCP layer that exposes data to agents. A 4-step framework + the Websem standard for a data foundation AI can actually use.
Read the study12 min read · 12.06.2026
SourcesDecision Hub: from a dashboard that reports to a system that recommends actions
Real-time decision intelligence — predictive scoring, alerting and actions straight into the CRM. Why only 20% of organizations excel at decisions (McKinsey) and what the architecture that closes the data-to-action loop looks like.
Read the study11 min read · 12.06.2026
SourcesMarket Command: automated market intelligence for prices, competitors and LLM visibility
How to build a system that watches hundreds of market signals and reports only what matters. Prices, launches, sentiment, plus the new layer: how often ChatGPT, Perplexity and Gemini recommend you. With the real ROI of automation.
Read the study11 min read · 12.06.2026
SourcesERP + CRM as a single source of truth — connecting systems without a new silo
in the pipelineB2B compliance and the EU AI Act — what to log in an AI decision system
in the pipelineMCP in production — how to safely expose internal data to AI agents
in the pipeline