From data foundations to intelligent systems: we design, build and run the systems that put your data and AI to work, always under human control. Below, our work by domain; each page tells the problem, the approach and the result.
AI agents that take on business tasks: orchestrated 24/7, grounded in your data through sourced RAG, with persistent memory and human guardrails.
We connect the tools, automate the data flows and deliver the reporting: API integrations, ETL pipelines, data models and BI dashboards.
Before moving anything, we audit: agentic workflows scan an entire system read-only (volumes, duplicates, permissions, ages, metadata) and deliver a complete, repeatable inventory where manual sampling only estimates. The same layer then drives the migration: sorting, tagging, OCR, so SharePoint and Microsoft Copilot work on content they can find and trust.
A weekly agentic loop that monitors Search Console, Core Web Vitals and AI-crawler citability (ChatGPT, Perplexity, Google AI Overviews), detects regressions and proposes prioritized actions. Being indexed is no longer enough: your content must be retrievable and citable by AI.
Since 2 February 2025, Article 4 of the EU AI Act requires every organization deploying AI (including Copilot, ChatGPT or Claude) to ensure a sufficient level of AI literacy of its staff. eaQbe delivers hands-on AI literacy and Copilot 365 sessions for European federations and organizations. Also delivered: Power BI, Claude Code and Microsoft Fabric trainings.
An agentic workflow is a system where AI agents execute multi-step business tasks autonomously: they read your data, use tools through APIs, follow rules, and escalate to a human at defined guardrails. Unlike a chatbot, it works continuously and acts on your systems, under human control.
Yes when needed. Several of the cases above run on a dedicated private server owned by the client, with OAuth2 read-only connectors to business tools, Git-versioned code, and guardrails such as: no automatic email sending, no action without a source.
By default we describe the work, not the client: several operate in confidential sectors. Client names are published only with prior written approval, as our terms require. Each case study remains factual and verifiable in scope, stack and results.
Yes. Article 4 of the EU AI Act, in force since 2 February 2025, requires providers and deployers of AI systems to ensure a sufficient level of AI literacy of their staff. Using Copilot, ChatGPT or Claude at work makes your organization a deployer.
GEO is the discipline of making your content retrievable and citable by AI answer engines such as ChatGPT, Perplexity and Google AI Overviews. It complements SEO: structured data, question-shaped passages, llms.txt, and monitoring AI crawler access.
