How can you effectively transition from AI experimentation to industrial-scale deployment without technical expertise and without sacrificing your data sovereignty? That’s the question addressed by Alban Costa (CEO) and Christophe Bouvard (CTO), co-founders of Wikit, in this webinar. On the agenda: an overview of key AI trends for 2026, a presentation of Wikit Semantics (the no-code, data-sovereign SaaS platform for creating and orchestrating AI applications and agents), and concrete use cases to help you take action.
Key Takeaways from This Webinar
- Agent-based AI is gaining traction: AI agents now execute complete end-to-end business workflows, with proven ROI in customer support, HR, and operations.
- Multi-agent orchestration is becoming the standard: an orchestrator agent controls specialized sub-agents coordinated via the Model Context Protocol (MCP).
- The EU AI Act will take effect in August 2026 for high-risk systems (HR, credit, healthcare, public services): traceability, automatic logs, and human oversight will become mandatory.
- RAG is now a critical infrastructure for ensuring the reliability of LLM responses, reducing hallucinations, and guaranteeing the traceability required by regulations.
- The Wikit Semanticsplatform lets you create AI apps and agents without coding, with complete freedom to choose LLMs, hosting in France with OVHcloud, and more than 30 native connectors to business tools.
- The three priority initiatives for 2026: systematically apply RAG to all company data, make controlled AI assistants available to all employees, and deploy customized agent-based workflows.
Agent-Based AI, RAG, EU AI Act: Trends Redefining AI in 2026
From Assistant to AI Agent: A Major Shift
By 2026, AI will no longer just respond—it will take action. AI agents will autonomously plan and execute complex business processes. Multi-agent orchestration, driven by the Model Context Protocol (MCP), is becoming the dominant architectural pattern for automating high-value-added processes. At the same time, the EU AI Act requires organizations to design their AI systems with built-in governance from the outset: traceability, explainability, and human oversight are no longer optional.
RAG: The Backbone of Enterprise AI
Retrieval-Augmented Generation has established itself as a critical infrastructure: it connects large language models (LLMs) to internal databases without the need for retraining, reduces hallucinations, and ensures source traceability. It directly addresses the requirements of the EU AI Act and now extends to structured data (BI, reporting, databases) as well as documents.
Wikit Semantics: The Sovereign AI Platform for Creating and Orchestrating Your AI Agents
Wikit Semantics is a multi-LLM, no-code SaaS platform hosted in France, designed to enable any organization to create, deploy, and orchestrate its AI applications and agents. It covers a wide range of use cases: IT and HR support, document analysis, autonomous personal assistants, customer relations, and agent-based workflow automation. Thanks to Wikit Connect and its more than 30 native connectors (EDM, ITSM, Digital Workplace, collaboration tools), it integrates into the existing ecosystem without requiring any specific development.
Listed by UGAP, CAIH, and RESAH, Wikit has been supporting more than 170 organizations across all sectors since 2018.
Corporate AI Strategy: Three Priorities for Deploying AI at Scale in 2026
Three key areas of focus emerge for organizations that want to scale up:
- Systematize RAG across all internal data (documents, databases, BI tools) to ensure reliable and traceable results;
- Make AI assistants available to all employees, with centralized management of access, costs, and data security;
- Design integrated agent-based workflows to automate complex business processes specific to each organization.
