Digital assistants that answer questions and perform tasks within clear boundaries.
Discuss your challengeEmployees answer the same questions or repeatedly take the same next steps. A knowledge assistant can retrieve information; an agent can also prepare or perform defined actions. The right choice depends on the work and the consequences of a wrong action.
A description of the task, permitted sources and actions, and the points at which the assistant hands over to an employee. This makes a first use case specific enough to test.
Build an AI agent that performs defined tasks using your data and systems.
Explore this serviceDetermine which teams need AI agents, which information they may use and who remains responsible for every action and handover.
Explore this serviceGive sales more time for conversations by supporting preparation and administration.
Explore this serviceSupport customer conversations with an agent that uses approved knowledge and knows when to hand over.
Explore this serviceLet a research agent collect and structure information with traceable sources.
Explore this serviceGive employees one entry point to the information they are allowed to use.
Explore this serviceAn AI chatbot designed around your organisation's questions, tone and working methods.
Explore this serviceHelp website visitors find the right answer or next step sooner.
Explore this serviceSupport WhatsApp conversations with AI and your own business information.
Explore this serviceImprove customer service with focused automation and AI assistance.
Explore this serviceMake company knowledge searchable with answers that lead back to the source.
Explore this serviceAsk questions about your documents and find the passages behind each answer.
Explore this serviceDesign an AI environment around your requirements for data access, storage and processing.
Explore this serviceExplore these selected explanations alongside the service guides. Each video links back to its source article, transcript and relevant project tools.
1:45Follow a fictional project assistant as it gathers information and prepares a proposal, with restricted tools, explicit permissions and a clear stopping point.
Source articleAI agent development
1:51Follow a fictional support question from intake to human acceptance and see why a ticket, queue placement and an accepted case are different states.
Source articleAI customer service agent
1:46See how a fictional course enquiry reveals whether a website chatbot uses relevant source pages, preserves conditions and recognises missing information.
Source articleWebsite AI chatbotDefine the question or task, the sources the assistant uses and the boundaries of its authority.
Test correct answers, missing information, unwanted instructions and handover to an employee.
Start with limited permissions and assess use and deviations before adding more actions.
At Eleads, Ricardo worked on interpretation, classification and semantic matching of enquiries. The case describes how decision logic, source information and processing come together in an operational workflow.
Project experience of Ricardo van der Spoel through Van der Spoel Development.
Choose one task from the services above. Describe the current process, the available information and the person who can approve the result. Then compare the requirements and acceptance checks on the relevant service page. The original documentation below helps you investigate the technical choices.
Create your project briefLimiting agent communication and system actions.
Basis for tests of unwanted conversation manipulation.
Example of task-specific assessment using representative conversations.
Technical principles for least privilege and authorization.
