Use case selection
We identify a task with observable inputs and outcomes, and assess whether AI or conventional automation is the better fit.
Deliverable
Pilot scope, test examples and evaluation criteria.
VDD / VDD AI
AI with a clear task. Useful in everyday work.
We design assistants and automations that consult company knowledge and support specific tasks. We start with a bounded use case, evaluate the outputs and define where human decisions are needed.
Explore the serviceThe starting point
Repetitive work still requires reading, searching and interpreting.
- Answers exist, but they are scattered across documents and take time to find.
- Requests and documents must be read and classified before anyone can act.
- You have tried a chatbot, but it lacks context, evaluation and connections to your workflows.
How we can help
From a defined use case to an integrated assistant.
Knowledge assistants
We organise permitted sources and context, with rules for referencing information and recognising when an answer is unavailable.
Deliverable
Assistant connected to agreed sources with access rules.
Triage and drafting
We apply AI to request classification, information extraction and draft responses. Sensitive actions can require approval.
Deliverable
Integrated workflow with validation and review routing.
Evaluation and control
We test representative situations, incorrect outputs and missing information. We define usage limits and cost monitoring.
Deliverable
Evaluation set, operational limits and monitoring plan.
Application example · illustrative scenario
A first response draft, with the sources at hand.
The problem
A support request arrives. The team searches manuals and past records before drafting a reply.
The proposed solution
An assistant searches authorised sources and prepares a referenced draft. It routes requests onwards when information is missing.
What changes
The responsible person reviews the content and decides what to send. Evaluation checks draft usefulness and reference accuracy.
The project approach
How we put this work into practice.
- 01
Define the pilot
Choose one task, permitted sources and quality measures.
- 02
Test realistic situations
Evaluate representative examples, exceptions and unsupported answers.
- 03
Integrate with limits
Define approvals, access, costs and the conditions for expanding usage.
Before you begin
Questions about this service.
Can the assistant give incorrect answers?
Yes. We therefore define sources, evaluate examples and provide human review and escalation. The level of autonomy depends on the task and the consequences of an error.
What happens to company data?
Before implementation, we define which data can be used, who can access it and which provider processes it. Retention and processing terms are assessed for the selected solution.
How do we decide whether the pilot is worthwhile?
We agree criteria before building: answer quality, corrections needed, task time and usage cost. The decision to proceed depends on pilot results.
Let’s talk about VDD AI
Which task does your team repeat every day?
Bring an example request, the available information sources and the outcome you need.