Not a presentation about AI. Not a pilot that goes nowhere. We implement practical AI solutions in the businesses we acquire and operate, with our own capital on the line.
The opportunity
There is a lot of noise around AI. Most of it is aimed at large enterprises with dedicated technology teams and seven-figure budgets. The reality for SMEs is different, and in many ways, more interesting.
An SME with 30 to 200 employees typically has significant untapped efficiency. Proposals are written from scratch every time. Customer enquiries pile up. Knowledge lives in the heads of a few key people. Financial reporting takes days of manual work. These are exactly the problems that AI solves well, and the impact is proportionally much larger than in a large corporation.
AI does not replace your people. It frees them to focus on the work that actually requires them: building relationships, solving complex problems, and making the decisions that drive the business forward.
Applications
Every business is different, but we consistently find the highest-value AI opportunities in these areas.
Proposals and documents
AI generates first drafts of proposals, contracts, and reports in minutes. Your team reviews and refines instead of starting from scratch. Typical result: proposal turnaround from two weeks to two days.
Customer service
An AI assistant handles routine enquiries, FAQs, and follow-ups around the clock. Complex issues escalate to your team automatically. Typical result: 70% of routine enquiries handled without human intervention.
Sales and pipeline
AI analyses your pipeline, identifies the highest-value opportunities, and drafts personalised outreach. Your sales team focuses on closing. Typical result: 30% increase in qualified pipeline.
Internal knowledge
An AI assistant trained on your company's own knowledge: manuals, processes, past projects. New employees get up to speed in days, not months. Typical result: onboarding time reduced by half.
Operations and maintenance
For businesses with physical assets, AI predicts maintenance needs before failures happen, reducing downtime and costs. Typical result: 25% reduction in unplanned downtime.
Finance and reporting
Automated financial reporting, variance analysis, and forecasting. The insights you need without the hours of manual work. Typical result: monthly close time reduced by 40%.
Our approach
A traditional consultancy advises on AI and sends a bill. A technology vendor sells software and moves on. We do neither.
We invest our own capital in the business, we take an operational role, and we implement the AI ourselves. If it does not work, we lose money. That alignment changes everything. It means we only implement solutions that genuinely create value, and we stay to make sure they work.
Through our partnership with Waimakers, we bring real AI implementation expertise. We have deployed AI solutions across private equity portfolio companies and SMEs in the Netherlands. This is not theoretical. It is what we do every day.
Examples
Based on real implementations across similar businesses.
B2B Services
Challenge
A professional services firm was spending two weeks per proposal, with senior staff doing most of the drafting work.
Solution
We built an AI proposal generator trained on their past work. Senior staff now review and refine instead of writing from scratch.
Result
Proposal turnaround reduced from two weeks to two days. Senior staff freed up for client relationships.
Distribution
Challenge
A specialist distributor was handling 200+ customer enquiries per week, most of them routine questions about stock, pricing, and delivery.
Solution
We deployed an AI customer service assistant integrated with their inventory system. Complex issues automatically escalate to the team.
Result
70% of routine enquiries handled automatically. Customer service team refocused on complex accounts.
Technical Services
Challenge
A technical services company was experiencing unpredictable equipment failures, leading to costly emergency repairs and customer downtime.
Solution
We implemented AI-driven predictive maintenance using sensor data and historical maintenance records.
Result
Unplanned downtime reduced by 25%. Maintenance costs down 20%. Customer satisfaction significantly improved.