What makes our approach different?
Beyond ChatGPT, into your business DNA
Find Hidden Processes
We map your repetitive and time-consuming tasks. From email handling to report generation: where do employees lose hours that AI could reclaim?
Unlock Your Data
Your CRM, documents, and knowledge bases contain valuable context. We show how to connect this data to AI for output that truly fits your business.
Unlimited Possibilities
Our AI platform offers endless automation options: from customer service to content creation, from data analysis to document processing.
Measurable Productivity
This is not about playing with tools. This is about making your team measurably more productive by automating what slows them down.
From prompting to real business automation
ChatGPT is just the beginning
Most companies have experimented with ChatGPT, but the results stay superficial. Why? Because generic prompts on generic models produce generic output. The real power of AI emerges when you connect it to your own data, your own processes, your own context.
Your data is the differentiator
During this workshop we dive deep into your organisation. What emails get answered repeatedly? Which reports take hours to compile? Where does knowledge get lost between departments? These pain points become automation opportunities.
Map repetitive business processes
Connect AI to your internal data sources
Generate output that matches your brand and context
Create AI agents that truly understand your business
Measure productivity gains, not just experiments
Our 5-step approach.
From process discovery to working AI automation: here is how we unlock maximum value from your company data.
Step 1: Process Discovery.
We start by mapping your business processes. Where do employees spend hours on repetitive tasks? Email handling, document creation, data entry, report generation? These are your automation goldmines.
Step 2: Data Inventory.
What data do you already have? CRM records, support tickets, product catalogues, internal documentation? We identify which data sources can feed AI to produce contextually relevant output.
Step 3: Platform Capabilities.
We demonstrate our AI platform and its unlimited possibilities: from intelligent chatbots to automated content creation, from email triage to document generation. All connected to your data.
Step 4: Build AI Agents.
Participants build a working AI agent that connects to internal knowledge. This is not a toy: it is a digital colleague that handles real tasks using your actual company data.
Step 5: Automation Roadmap.
We leave you with a prioritised list of automation opportunities, a working prototype, and a clear path forward. No abstract strategy documents, but concrete next steps.
Why data-driven AI beats generic tools
The quality gap
There is a massive difference between asking ChatGPT a generic question and asking an AI agent that knows your products, your customers, and your processes. The first gives you a starting point. The second gives you production-ready output.
From hours to minutes
When AI understands your context, it can draft customer emails that sound like you, create proposals based on your actual offerings, and answer support questions using your documentation. Tasks that took hours now take minutes.
Employees as AI supervisors
The goal is not to replace people, but to elevate them. Your team becomes supervisors of intelligent automation, focusing their expertise on what truly matters while AI handles the repetitive groundwork.
Automation opportunities we typically uncover
Where is your hidden productivity?
During workshops, we consistently find automation gold in these areas:
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 you how to keep sensitive information secure while still unlocking AI capabilities, using private deployments and smart anonymisation.
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 discover your automation potential?
Schedule a no-obligation call to discuss your processes and data. We will show you concrete examples of how companies like yours have made their teams dramatically more productive with our AI platform.
How is this different from ChatGPT training?
Standard AI training teaches prompt techniques. We go further: we analyse your business processes, connect AI to your data, and build actual automation. Participants leave with working solutions, not just knowledge.
How long does the workshop take?
Typically half a day for the core workshop. We often extend with a prototype afternoon where teams build their first automation using real company data.
Do we need technical staff to participate?
Not at all. Our platform is designed for business users. Marketing, HR, sales, and operations teams often find the biggest automation opportunities because they know their processes best.
Is our data safe?
Yes. We demonstrate secure approaches including private AI deployments, data anonymisation, and strict access controls. Your sensitive information stays protected.
What do we take away from the workshop?
A map of automation opportunities, a working AI prototype connected to your data, and a prioritised roadmap for implementation. Concrete deliverables, not abstract insights.
How do we measure success?
We define KPIs upfront: time saved, tasks automated, quality improvements. After implementation we track these metrics 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?
Absolutely. We run parallel tracks with additional AI experts to maintain quality. Cross-team workshops often uncover company-wide automation opportunities.