VDW / AUTOMATIC / AI ADOPTION
Turn AI into a professional way of working.
ChatGPT and Claude can do more than generate isolated texts. VDW configures practical AI workplaces, trains people around their own responsibilities and creates repeatable ways of working that fit the organisation.
✓ Role-specific✓ Practical setup✓ Human review
VDW / AI WORKPLACE● READY
WORK CONTEXTCommercial consultantOrganisation · audience · quality criteria
01
Role & objectivesWhat does good output mean?
SET02
Knowledge & contextRelevant documents and guidelines
SET03
Repeatable workflowsResearch · analysis · preparation
SET04
Review & responsibilitySources · facts · final decision
HUMANCHATGPTCLAUDECONTEXTWORKFLOWSREVIEWADOPTION
Using AI well
An AI tool is not yet an AI way of working.
Many people already use AI, but individually and without shared standards. A loose prompt can produce a useful answer. A configured workplace can also account for role, organisation, audience, tone of voice, documentation and quality criteria.
The objective is not to write more prompts. It is to make AI fit the work people actually perform.
Recognisable situation
AI is available. Structure is missing.
When everyone develops their own approach, quality depends on coincidence and useful organisational knowledge remains unused.
What VDW does
From first scan to sustained adoption.
The programme is modular. We select the components that match the organisation, team and maturity level.
AI Quickscan
We analyse current usage, roles, tasks, opportunities, information needs and practical risks.
AI Workplace Setup
We configure suitable projects, instructions, context, files and role-specific environments in tools such as ChatGPT or Claude.
Practical AI training
People learn to instruct AI, provide context, iterate, analyse information and critically improve results.
Role-specific workflows
Exercises and working methods are based on real responsibilities, documents and recurring tasks.
AI Playbook
Shared templates, examples, quality standards, review procedures and practical do’s and don’ts.
Ongoing optimisation
Optional follow-up for new use cases, capabilities, refresher training and improved ways of working.
Different work, different AI
Use cases that fit the role.
Generic demonstrations rarely change daily work. We train teams with examples from their own responsibilities.
Sales
Prospect research · meeting preparation · account analysis · proposal drafts · objections · follow-up
Marketing
Research · content ideas · copy · SEO · campaigns · competitor analysis · repurposing
Management
Document analysis · summaries · scenario comparison · strategic preparation · decision support
Operations
Procedures · information structuring · internal communication · document analysis · planning support
HR
Vacancy copy · onboarding · internal communication · learning materials · meeting preparation
Every organisation and every role requires a different combination of context, working methods and review.
A professional AI workplace
From isolated prompts to structural adoption.
Better AI use is built in layers. Each layer makes the result more relevant, repeatable and controllable.
- 01Loose prompt
- 02Clear instructions
- 03Relevant context
- 04Projects & workplaces
- 05Repeatable workflows
- 06Role-specific use
- 07Structural AI adoption
Critical and responsible
Knowing when not to trust AI is part of the skill.
AI can make mistakes, omit nuance or present incorrect information convincingly. Faster work only adds value when people remain responsible for facts, sources and decisions.
Check facts and sourcesProtect confidential informationSet practical privacy agreementsRecognise unsuitable use casesKeep human responsibility explicit
The approach
Concrete from the first conversation.
We start with work, people and information—not with a standard presentation.
Introduction
Goals, teams and current AI use.
Quickscan
Tasks, opportunities and risks.
Setup
Instructions, context and workplaces.
Training
Practice with real work.
Playbook & growth
Document, evaluate and improve.
Two routes within AUTOMATIC
Enable people first. Automate where it makes sense.
Adoption and automation solve different questions, but can reinforce each other.
People use existing AI tools better.
Focus on setup, context, skills, shared practices and critical review.
AI and software execute process steps.
When the same AI-supported task is repeated at scale, automation may be the logical next step.
Explore AI automation →Flexible engagement
Start where the organisation is now.
A focused scan, one team training or a wider adoption programme: the scope follows the actual need.
AI Quickscan
Understand opportunities, current practices and priorities.
AI Team Training
Practical training for one team or department.
Workplace Setup + Training
Configured environments combined with hands-on learning.
AI Adoption Program
Multiple teams, playbook and ongoing optimisation.
Custom scope is possible. If a use case later requires integrations or a dedicated application, VDW can connect the route to custom software.
Practical AI adoption
Discover what AI can practically add to your organisation.
No generic AI demonstration, but an honest exploration of how people can use ChatGPT, Claude and other AI tools more effectively in their daily work.
Plan an introduction →