The challenge:

A market-leading B2B home solutions provider in Europe sat on a goldmine they didn't know they had: years of customer data, product specifications, installation records, and usage patterns scattered across systems and gathering digital dust. Meanwhile, their customers (contractors, installers, housing cooperatives) were making decisions blind, leading to inefficiencies, delays, and frustration.

Our approach:

We ran a 3 month discovery and prototyping sprint. Interviewed 15 customers to understand their jobs-to-be-done and real pain points.

Using our design thinking approach, we:

• Mapped jobs-to-be-done across the entire customer journey.

• Ideated new value propositions centered on data transparency.

• Created two validated prototypes that turned their data into customer-facing insights.
  
  

The vision: A platform that gives contractors, homeowners, and service teams full transparency into installations, appliance performance, maintenance schedules, and predictive insights creating a new revenue stream from data they already owned.

The outcome:

Both prototypes validated with customers who said, "This solves a problem we didn't know we could solve." Now building full-scale integrated platforms with a roadmap for AI-powered predictive analytics. What started as an internal efficiency project became a new business model.

[this case is anonymized for privacy reason]

The challenge:

The Dutch healthcare system was breaking. Aging population, personnel shortages, rising costs, and skyrocketing waiting times created a massive "care gap." The traditional model organized care around institutions and professionals, not around patients and their actual needs.

A healthcare provider CEO had a vision: flip the model. Put patients in the driver's seat. Let them arrange their own care when and how they need it. Connect them directly to the right healthcare providers based on personal needs, not organizational boundaries.

The problem? Turning that vision into reality required building an entirely new platform from scratch.

Our approach:

Business Models Inc. co-founded VIEF as a joint venture to make this vision real.

We started with discovery, interviewing patients, nurses, doctors, and suppliers to map the entire value chain. Then we designed the patient experience: customer journey maps, service blueprints, and the platform dynamics that would make personalized care possible.

Working with a digital partner, we:

• Built wireframes and low-fidelity prototypes.

• Ran in-market experiments with patients and home care nurses.

• Validated concepts and platform functionality through rapid iteration.

• Launched a pilot in the East of Netherlands with real patients, professionals, and suppliers.
  
  

This was more than just consulting. We co-built the business, the platform, and the go-to-market strategy.

The outcome:

Within two years, the pilot showed promising results. VIEF is now scaling: upgrading technology, onboarding healthcare providers across the country, and building the team to deliver personalized healthcare nationwide.

From vision to working platform to scaling operations, all built on patient-centered design and platform business model thinking.

Most clients see clickable demos within the first sprint and a pilot-ready MVP in 4–8 weeks, depending on scope. We move fast because we focus ruthlessly on one validated concept at a time.

Even better. We'll learn from what didn't work and help you understand why. Often the problem wasn't AI, it was starting with tech instead of value. Most of our best projects come from "second attempts" done right.

A business lead who owns the problem you're solving, a product or process owner who knows the day-to-day reality, and access to 5–10 stakeholders or users for validation. IT joins when we discuss scale and integration, usually Phase 2 or 3.

We work within your policies and approved environments. All IP for deliverables created for you can be contractually assigned to your organization. We're comfortable signing your NDA and security requirements.

Yes. During scaling, we coordinate with your IT team and bring partners as needed to meet enterprise security, compliance, and performance requirements. We've worked with everything from legacy mainframes to modern cloud stacks.

We define measurable success metrics up front: time saved, conversion lift, cost reduction, etc., and track them through pilots. ROI depends on adoption and context, which is why we validate before you invest heavily. If a concept doesn't show promise in pilots, we tell you to stop.

Discovery sprints are fixed-fee engagements designed for corporate innovation budgets. MVP development is scoped based on complexity. Scaling is estimated collaboratively with you and partners after pilot results. We'll give you a clear investment range in your AI Opportunity Scan.

Absolutely. Many clients start with Discovery to build a confident roadmap, then decide whether to proceed. No long-term commitments. No pressure to continue. In fact, about 30% of Discovery clients choose to take learnings in-house, and we're fine with that.

No. That's often the problem, companies think they need AI expertise before starting, so they never start. We bring the AI expertise. You bring the business context. Together we figure out what's worth building.

Developers build what you tell them to build. We help you figure out what's worth building in the first place, and whether AI is even the right solution. Think strategy and validation first, development second.

The fastest way to get answers is a 15-minute conversation. No obligation, just clarity.

Book your free 15min AI opportunity scan here.