Customer story
LIZY is building agent-first operations on Qontext
LIZY is making business car leasing faster, simpler and more affordable. Based in Brussels, the company gives SMEs and freelancers across Belgium, France and the Netherlands a fully digital, multi-cycle leasing offer for quality vehicles. It now serves more than 6,000 customers. Running that service means coordinating vehicle deliveries, contract changes and service partners across markets. As LIZY brings agents into that work, each one needs to understand the company’s processes and apply them consistently. The team also needs to keep those agents aligned as the business changes, without maintaining a separate version of its knowledge for every workflow. LIZY started that journey with Qontext a few months ago, and the first results already confirm the choice.
The shared knowledge behind LIZY’s operations
Qontext is the company knowledge infrastructure LIZY chose to centralise that knowledge and power its move to agent-first operations. It gives agents the processes, business rules and communication guidance they need to do work on LIZY’s behalf, and gives the team one place to develop that expertise.
That expertise stays independent of any individual agent or workflow. LIZY can maintain it as company expertise that stays useful when a new agent is built or a process changes. The work put into one use can become part of the foundation for the next.
Powering a new way of running LIZY
Qontext puts LIZY’s expertise to work in both employees’ own AI tasks and operational agents. In Claude, colleagues can bring company context into their tasks and refine guidance for others to use. The knowledge they develop remains available beyond the conversation in which it was created.
Across Belgium, France and the Netherlands, an agent in LIZY’s customer operations team draws on the company’s business rules and expertise in Qontext to write customer replies in the right language and tone. Ready-to-send replies save the team time on writing and corrections. Qontext makes improving the agent as simple as editing a page: one update can improve how it handles an entire topic. The team can rapidly refine responses and expand what the agent handles, without changing the workflow.
Beyond this, Qontext also supports work in other operational departments, such as Finance. An agent uses LIZY’s assessment guidance to prepare credit prechecks, bringing together findings and identifying information the team still needs. This reduces the preparation around each assessment while keeping the decision with Finance.
Improving an agent starts with its knowledge
LIZY can improve agent behavior by updating process documentation, business rules, agent instructions or communication guidelines in Qontext. For the email agent, the team refines replies and adds topic coverage through that knowledge, while the workflow stays in place.
Topic experts own the knowledge in their respective areas, while everyone at LIZY can consult it. This keeps information under clear control and makes it easy to share across the company. Each agent can have its own API key, restricting access to the files and folders it needs.
The team also uses Qontext’s AI to update content and link related information across files. It can maintain information in one place and connect it to the guidance around it. Where several people or agents use that knowledge, an improvement becomes available across those uses.
Building an AI-native company
As agents take on more operational work, the knowledge guiding them becomes part of how the company runs. Qontext lets LIZY develop that knowledge as a shared company asset: useful across existing work and ready for the next agent. Expertise put into one process can keep paying off elsewhere in the business.
The ambition is for people and agents to keep strengthening that shared foundation through their work. People can refine what the company knows, agents can contribute findings for review, and useful improvements can become context for the next task. That is how the value compounds: each new use can benefit from the knowledge already developed and add something back for the rest of the business.