Our work
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.
Agentic workflows & AI agents for business
AI agents that take on business tasks: orchestrated 24/7, grounded in your data through sourced RAG, with persistent memory and human guardrails.
An agentic room-booking platform and the agents that build it
Meeting-room booking for a coworking network, designed so that an AI agent can book like a member, and built by agents under human sign-off.
A member-care agent, grounded in data
Member requests answered fast and accurately, with drafts in the brand voice and sending left to humans.
An agentic second brain wired to the business
Plain-language questions answered on real business data, with member reply drafts under human control.
An agentic development workflow, with memory
A dedicated agentic foundation with persistent memory, knowledge graph and human guardrails.
Data engineering, automation & BI
We connect the tools, automate the data flows and deliver the reporting: API integrations, ETL pipelines, data models and BI dashboards.
Agentic system audits, migration & Copilot readiness
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.
Agentic SEO & GEO
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.
We also train the humans: AI literacy, Agentic Workflows, Business Intelligence, ETL
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.
Claude & Claude Code
Build production-grade AI agents with Claude Code, from first install to autonomous workflows
Microsoft 365 Copilot
Harness AI-powered efficiency with Microsoft 365 Copilot
Microsoft Copilot Studio
Build, publish and govern no-code AI agents in Microsoft 365 with Copilot Studio
AI Literacy
Understand, question and use AI with confidence, up to agentic AI
Microsoft Fabric
Fabric ETL skills to build and run reliable data pipelines
Power BI
Discover the full potential of data visualization and modeling with Power BI
Qlik Sense Visualization
Train your team to build and own Qlik Sense dashboards end-to-end
Qlik Sense Data Modeling
Explore the full potential of data transformation and modeling with Qlik Sense
Qlik NPrinting
Train your team to generate multi-format reports from Qlik Sense and automate delivery
Machine Learning
End-to-end mastery of machine learning
n8n Automation
End-to-end mastery of workflow automation with n8n
Frequently asked questions
What is an agentic workflow?
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.
Do these AI systems run on our infrastructure?
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.
Is AI literacy training a legal obligation?
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.
What is GEO (Generative Engine Optimization)?
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.
Have a similar problem?
Book a 30-minute discovery call to discuss your challenges and explore how intelligent workflows can streamline your operations.