AI WorkshopFrom Data to Action

AI Workshop
From Data to Action.

Your CRM, documents and systems contain valuable knowledge. In this AI workshop we show how MIND 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.

Your data, your competitive advantage.

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

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

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

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

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

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?

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.

Hans Lugtenberg

"A deal is a deal"

Yield.inc is a new asset manager in the Netherlands that focuses on excellent customer experience, sustainability and technology. When faced with the question of whether to develop our platform in-house or with a partner, we got in touch with Spartner. We are still 100% behind the choice for Spartner because we own the source code and with Spartner, a deal really is a deal, whether it concerns the delivery date or the agreed budget!

Hans Lugtenberg Partner at Yield Inc.

Norbert Wegter

"A professional software partner since 2010"

Spartner is involved and contributes in our search for innovations and always delivers top-notch work. After the first Huurda.nl version got out-dated, we collaboratively launched a completely new version in 2020.

Custom-built search engine for rental properties

Norbert Wegter Owner of 123wonen and Expat Homes Holland

"Doijer & Kalff"

After transferring our D&K portal to Spartner, we have elevated the further development and continuity to a higher level. Although the D&K platform was originally developed internally, our technical expert can now focus on other innovations within Doijer & Kalff. Spartner provides the quality we need without excessive costs. They have seamlessly taken over the care of our portal, allowing us to benefit from a flexible capacity that perfectly aligns with our future plans and innovation goals.

Reinier van Bergen Managing Director at Doijer & Kalff

Jurjen Terpstra

"Pragmatic and flexible collaboration"

Spartner has created a customized portal for us for the accountability of large-scale collaborative projects. This enables us and our partners to execute and account for their plans in a shared environment that is secure, transparent, and manageable. The pragmatic and flexible collaboration with Spartner has ensured that we have quickly achieved a functional and user-friendly environment.

Jurjen Terpstra Managing Partner at Wecreate Consulting

Marco Caspers

"AI and machine learning as legal tools"

In 2020, we transferred the development of Lynn to Spartner. As a result of their fast development process, the Lynn platform achieves an increasingly central role in the legal world.

Lynn, the smart AI legal robot

Marco Caspers Software Development Manager at Lynn Legal

Bjorn Gubbels

"As a business you must dare to move forward"

Innovation and change are not always welcomed with equal enthusiasm by our employees, man is a creature of habit but as a company you have to dare to move forward and the need for a contemporary drawing program for the realization of various constructions with our Masterbloc bricks was high. For us but also for Spartner, this challenge was a bit of pioneering and together we had to overcome some hurdles to arrive at a beautiful and efficient business tool. A development and learning process for both parties, in which the feedback of questions and desired adjustments by our employees to Spartner was always in good consultation and we could count on quick feedback and targeted solutions. We continue to exchange experiences with Spartner and look back and forward to a successful collaboration.

Powerful 3D construction drawing software

Bjorn Gubbels Owner of Masterbloc

Marco Leenders

"Spartner extends our capabilities and development capacity"

With weekly calls, using our Azure DevOps sprint system, Spartner actively works together with our innovation, communication and software development departments.

Multi-website CMS with Statamic 3

Marco Leenders Head of Automation

Josh Mountain

"Have been using Laravel Excel for years"

We requested custom help to a performance challenge we had in our implementation of Laravel Excel. I was amazed how quickly these Laravel artisans achieved significant performance gains, which saved us a lot of development time.

Open source package for Laravel

Josh Mountain Co-Founder at IncentivePilot.com

Maurice Evers

"Higher occupancy rate thanks to our user-friendly platform"

Throughout the great years that we cooperate with Spartner (previously Maatwebsite, Ed.), our software has been developed continuously. Students and landlords actively work with features like allocation, payments, chat, contract generation and more.

Custom built ERP for all student residences

Maurice Evers Head of Student Housing Department

Maarten Bremer

"Innovating in the digital identification network of The Netherlands and Europe"

The pro-active approach of Spartner was crucial in understanding the complexity of the eHerkenning network.

Development of eHerkenning connection and services

Maarten Bremer CTO / Founder Ensured

Niels Winters

"Innovation in legal technology"

As jurists with knowledge of IT, we highly value quality; within code, but also in process. The high work-level and trustworthiness of Spartner gives us the capacity to continuously create innovative features.

Legal tech platform

Niels Winters Managing Director JuriBlox

Frequently asked questions

Practical answers to the questions we hear most often.

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.

Feel like a cup of coffee?

Whether you have a new idea or an existing system that needs attention?

We are happy to have a conversation with you.

Call, email, or message us on WhatsApp.

Bart Schreurs
Business Development Manager
Bart Schreurs

We have received your message. We will contact you shortly. Something went wrong sending your message. Please check all the fields.