Qolaig helps companies deploy custom AI agents that integrate directly into their operational workflows, from support and finance to HR and compliance. The company guides clients through a structured three-step process—workshop, development, and ongoing operation—ensuring AI systems are production-ready and continuously improved. With over 100 clients and 400 projects deployed, Qolaig positions AI as a new operational layer that works alongside human teams rather than replacing them.
Funding
Funding not disclosed
Founders
Product
Problem
Many companies approach AI as isolated experiments—tool licenses, standalone chatbots, or proofs of concept—that fail to translate into sustainable operational gains. This fragmented approach prevents organizations from realizing AI's full potential as a core operational layer, leaving repetitive tasks manual and limiting the ability to scale human expertise.
Solution
Qolaig designs and deploys tailor-made AI agents that integrate directly into existing business workflows across support, finance, HR, sales, legal, and IT. The company follows a structured three-step method: a workshop to understand business needs and validate ROI, a development phase with transparent sprints that puts AI agents into production in weeks, and a continuous run phase where engineers operate and improve the systems. Qolaig's approach treats AI as a new operational layer composed of specialized agents that collaborate with human teams, interact with existing systems, and autonomously manage complete processes. The company emphasizes that AI is not about replacing humans but about automating repetitive tasks so employees can focus on customer relations, decision-making, and innovation.
Target Audience
Primary customers are mid-sized and large enterprises in France, including PMEs and companies with over 200 employees, across sectors such as logistics, industry, finance, insurance, real estate, and agribusiness. The service targets organizations seeking to move beyond AI experimentation and deploy production-ready agents that deliver measurable operational gains.
Features
- AI Brain connected to company systems, enabling centralized knowledge and decision-making
- ERP augmentation and workflow automation tailored to specific business processes
- MCP (Model Context Protocol) and agentic architecture for scalable, interoperable AI deployment
- Process mapping and prioritization tools to identify high-impact use cases
- Transparent code and architecture with continuous improvement by senior AI engineers
- Sector-specific solutions for industry, transport, finance, insurance, and more
- Pre-built agents for email triage, document reconciliation, claims management, lead qualification, meeting summaries, and compliance checks