AI Workshop
From Data to Action.
Your CRM, documents and systems contain valuable knowledge. In this AI workshop we show how turns that data into working automation. No generic prompts, but AI agents that understand your processes, language and business rules. The result: tasks that take hours now get completed in minutes, with full traceability.
What makes our approach different?
Practical AI automation with your own data
Map processes
Together we map which tasks take time: email handling, reports, data entry, support queries. Where is the most repetition? That is where the automation opportunities lie.
Connect data
Your CRM, documents and knowledge bases contain valuable context. We show how to connect those sources to AI, so the output matches your language, products and workflow.
Broadly applicable
From customer service to reporting, from HR queries to proposals: we show concrete automation examples that match your situation.
Measurable results
No experiments, but working automation. Your team stays in control via an Audit Trail that makes every step transparent.
From prompting to real business automation
ChatGPT is just the beginning
Many companies have experimented with ChatGPT, but the results remain limited. Generic prompts produce generic output. The value lies in connecting AI to your own data, processes and business rules, so it knows what fits your organisation.
Your data is the differentiator
In the workshop we analyse your work processes. Which emails get answered repeatedly? Which reports take hours? Where does knowledge get lost between departments? Those pain points become concrete automation opportunities.
Mapping repetitive processes
Connecting AI to your data sources
Generating output that matches your brand and context
Building AI agents that follow your business logic
Measuring results via an Audit Trail
Our 5-step approach.
From process analysis to working AI automation: this is how we turn your company data into concrete time savings.
Step 1: Process Discovery.
We map your business processes. Where do employees spend hours on repetitive tasks? Email handling, document creation, data entry, reports? That is where the best automation opportunities lie.
Step 2: Data Inventory.
What data do you already have? CRM records, support tickets, product catalogues, internal documentation? We inventory which sources are suitable for feeding AI agents.
Step 3: Platform Capabilities.
We show the #MIND platform in action: from chatbots to content creation, from email triage to document generation. All connected to your own data and business rules.
Step 4: Build AI Agents.
Participants build a working AI agent that connects to your internal knowledge. An agent that handles real tasks using your own data and business logic.
Step 5: Automation Roadmap.
After the workshop you have a prioritised list of automation opportunities, a working prototype and concrete next steps. No strategy documents, but a clear implementation path.
Why data-driven AI beats generic tools
The quality gap
There is a big difference between asking ChatGPT a generic question and deploying an AI agent that knows your products, customers and processes. The first gives you a starting point. The second gives you directly usable output.
From hours to minutes
When AI knows your context, it drafts customer emails in your tone of voice, creates proposals based on your offerings, and answers support questions using your documentation. What took hours now takes minutes.
Employees as AI supervisors
The goal is not to replace people, but to make their work smarter. Your team stays in control of the automation and focuses on what truly matters, while AI handles the repetitive work.
Automation opportunities we typically uncover
Where is your hidden productivity?
In workshops we see the same opportunities return:
Email and communication
Automatic drafting of responses, smart routing of inquiries, personalised follow-ups based on customer history.
Document creation
Proposals, reports, contracts, and summaries generated from templates and data, ready for human review.
Customer service automation
Internal knowledge search
Data entry and extraction
Content creation and translation
The right approach matters
Data quality drives output quality
AI is only as good as the data it works with. We help you identify which data sources are ready for AI and which need cleaning or restructuring first.
Security first
Not all data should flow to external AI models. We show how to keep sensitive information secure with private deployments, anonymisation and EU data sovereignty.
Human oversight remains essential
Our platform is designed for human-in-the-loop workflows. AI drafts, humans approve. AI suggests, humans decide. This ensures quality and maintains accountability.
Ready to explore your automation opportunities?
Schedule a no-obligation call to discuss your processes and data. We will show you concrete examples of how organisations have automated repetitive tasks with #MIND.
How is this different from ChatGPT training?
Standard AI training teaches prompt techniques. We go further: we analyse your processes, connect AI to your data and build working automation. Participants leave with solutions, not just knowledge.
How long does the workshop take?
Usually half a day for the core workshop. Often followed by a prototype afternoon where teams build their first automation using real company data.
Do we need technical staff to participate?
No. The platform is designed for business users. Marketing, HR, sales and operations teams often find the best opportunities because they know their processes best.
Is our data safe?
Yes. The platform supports private deployments, automatic anonymisation and strict access controls. Your sensitive information stays protected.
What do we take away from the workshop?
An overview of automation opportunities, a working AI prototype connected to your data, and a prioritised roadmap for implementation.
How do we measure success?
We define KPIs upfront: time saved, tasks automated, quality improvement. After implementation we track these metrics via the Audit Trail and fine-tune the automation.
What does the workshop cost?
Pricing depends on group size, scope, and follow-up requirements. During an intake call we explore your situation and provide a tailored proposal.
Can we train multiple teams?
Yes, we run parallel tracks with additional AI experts. Cross-team workshops often uncover company-wide automation opportunities.