What Is an AI Agent in 2026?
Artificial intelligence reached a decisive turning point in 2025 and 2026. After years of chatbots capable of…...
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We build custom chatbots connected to your knowledge and tools: a clear scope, tested answers and human handoff whenever a request requires it.
You receive the source code, chatbot rules and documentation required for another team to take over.
The estimate follows the scoping phase; any change in scope is priced and agreed with you.
A workshop covers the sources, limitations, monitoring and maintenance actions.
We analyze uncovered requests and prioritize improvements with your designated owner.
A chatbot is useful when your customers or teams ask recurring questions and the answers exist in reliable sources. We first assess demand volume, the available reference documents and FAQs, the business owner and the intended outcome.
It is not always the right tool. If the documents are outdated, the need is too infrequent or the decision is sensitive, we recommend strengthening the process or keeping human validation in place before automating it.
“Because we bring product, development and operations together: a bounded use case, controlled integrations, repeatable tests and a team equipped to work independently.”
From scoping to operations, every deliverable makes the chatbot measurable, controllable and maintainable.
We map the questions, users, accessible data and situations to exclude. The brief sets the pilot criteria: task completion, out-of-scope requests, appropriate handoffs and the intended business outcome.
We prepare the knowledge base, its access rights and its update rules. The chatbot searches approved content, cites a source when that helps the user and flags missing information.
We write useful flows, clarification questions and refusal rules. Users know they are interacting with AI and can be directed to the right person with the necessary context, without hiding the system's limitations.
CRM, support platform, calendar, catalog or internal application: each connection is limited to the required actions. When several tools need orchestrating, our n8n agency builds observable, reversible automations.
We test normal, ambiguous and off-topic requests, along with attempts to steer the chatbot away from its purpose. A question set checks answers, refusals, permissions and handoffs before launch and after every significant change.
Delivery includes documentation, training, useful alerts and monitoring of uncovered questions. Answers evolve after analysis and approval: the chatbot does not train itself on every conversation.
The tool you built isn't just for one thing. I can use it for other documents. You built a tool that could answer one document need, but I realize I can use it for other documents too. That's PeakLab's added value.
Modern and proven stack for high-performance apps
Use case, users, limitations, metrics and the decision to launch the pilot
Documents, access rights, conversation flows, refusal rules and human handoff
Conversational interface, knowledge retrieval and initial integrations
Business testing, security, corrections, training and deployment plan
Uncovered questions, costs, answer quality and approved improvements
Use case, users, limitations, metrics and the decision to launch the pilot
Documents, access rights, conversation flows, refusal rules and human handoff
Conversational interface, knowledge retrieval and initial integrations
Business testing, security, corrections, training and deployment plan
Uncovered questions, costs, answer quality and approved improvements
Quality does not depend on the model alone. It comes from an explicit scope, maintained sources, minimum access rights, a test suite and a person responsible for the service. We also document what the chatbot must not do.
For SYLA Project Conseil, PeakLab built a conversational assistant that collects a consultant's answers and prepares a first draft of a Qualiopi certification file. This demonstrates a bounded business use case: AI structures preparatory work, then a professional reviews it.
A broader requirement may be better suited to our generative AI agency. You can also explore all our digital expertise before choosing an approach.
Understand AI agents and prepare an adoption plan suited to SMEs
Artificial intelligence reached a decisive turning point in 2025 and 2026. After years of chatbots capable of…...
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30 minutes to understand your needs and give you a clear roadmap. No commitment.
Budget, data, reliability, integrations and operations: the decisions to make before a pilot.
In one call, we tell you what's feasible, at what price, and in what timeframe. With full transparency.
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