We clarify the objective, audience, proposition and technical requirements.
New AI agent
Add digital capacity where work keeps piling up.
An agent creates value only when it accelerates a clearly defined process. We therefore start with recurring work, decision points and desired output, not with a model.
Not a chatbot for the sake of having one, but a digital colleague with a defined responsibility.
01More prepared output02Shorter lead times03Control over exceptions
IncludedEverything you need.
Everything you need.
Nothing for show.
Design and implement an AI agent that performs a specific task, uses relevant company knowledge and remains under human control.
06elements in one route
01Agent use case and task design02Knowledge and data sources03Workflow and approval points04Integrations with existing systems05Test set and quality control06Monitoring through AYS
The rhythmFrom signal
From signal
to live.
AI accelerates analysis and preparation. Webbeukers sets the direction, safeguards quality and decides what goes live.
Data, search demand and customer behaviour reveal the strongest commercial opportunity.
Design, content and technology come together in short, focused iterations.
After launch, we measure what works and identify the next logical step.
Good to knowQuestions before
Questions before
you decide.
What does a first AI agent cost?
The investment depends on its task, knowledge sources, integrations, controls and evaluation method. The concrete arrangement is determined after reviewing your situation and confirmed in writing before delivery starts. This keeps expectations, responsibilities and decision points clear for both teams throughout the collaboration, from intake through final delivery.
How quickly can a new AI agent be operational?
That depends on source readiness, access, workflow complexity and the consequences of incorrect output. The concrete arrangement is determined after reviewing your situation and confirmed in writing before delivery starts. This keeps expectations, responsibilities and decision points clear for both teams throughout the collaboration, from intake through final delivery.
Do we need an ongoing contract for one AI agent?
The required commitment depends on whether monitoring, model usage, hosting and continued improvement are part of the service. The concrete arrangement is determined after reviewing your situation and confirmed in writing before delivery starts. This keeps expectations, responsibilities and decision points clear for both teams throughout the collaboration, from intake through final delivery.
Who owns a newly developed AI agent and its data?
Ownership, licensing and data rights are agreed before development. The concrete arrangement is determined after reviewing your situation and confirmed in writing before delivery starts. This keeps expectations, responsibilities and decision points clear for both teams throughout the collaboration, from intake through final delivery.
What do you need from us to create an AI agent?
We need a process owner, reliable examples, relevant source access and people who can judge output quality. The concrete arrangement is determined after reviewing your situation and confirmed in writing before delivery starts. This keeps expectations, responsibilities and decision points clear for both teams throughout the collaboration, from intake through final delivery.
Can a new AI agent publish or change systems independently?
Yes, when that level of autonomy is appropriate and explicitly configured. Human approval can remain mandatory for budgets, publication, personal data, claims or exceptional cases. We expand permissions only when the process, test results and consequences of an incorrect action support that decision.
Which step will make the greatest difference now?
Start with evidence from your own data.