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05 M&A Turnaround · AI Product

4 years. Zero output.

9 months. Product live.

European industrial leader · AI platform · Post-acquisition turnaround

4 yr
Failed development
9 mo
To live product
Millions+
Previously invested
Coatings
Industry
The Challenge

One of Europe's leading industrial players in coatings and surface solutions — global production facilities, decades of manufacturing expertise, strong footprint across multiple international markets. A corporate heavyweight thinking in long-term strategic positioning.

The vision was bold: build a digital, AI-enabled platform to simplify complex surface and material decisions across industries. A system that could translate technical requirements into solutions, support decision-making, and digitize parts of a traditionally expert-driven business.

After more than four years of development and millions in investment, the outcome was sobering — no clear product-market fit, no defined core use case, no scalable business model, no meaningful adoption. The platform existed technically. Commercially, it had no traction.

This is not an exception. It reflects a broader pattern across corporate AI initiatives:

85%
of AI initiatives fail to deliver measurable business value
of AI projects ever reach real scale beyond pilots
95%
fail to create measurable P&L impact
McKinsey 2024 · Gartner 2024 · BCG AI Report

The failure was not technical. It was systemic.

Three worlds — one product — no alignment
Each group acted rationally. Collectively, they failed.
Corporate Board
Focus: ROI, scale, strategic positioning

Invest heavily → build a product → generate impact within a predictable timeframe.

Expected faster returns. Increased pressure.

Venture Team
Focus: Experimentation, iteration, exploration

This is a venture — it may work or not. We need to test, learn, adapt.

Continued exploring. Delayed commitments.

Product & Execution
Focus: Delivery, features, implementation

Build what's requested. Ship what's specified.

Operated without unified strategy. Added complexity.

Different languages. Different expectations. Different definitions of success. Over time, mutual blame replaced shared progress.

What we changed
No product strategy
Market-validated roadmap in 6 weeks
Feature-driven development
Value-driven — solve something specific
AI as concept, not capability
AI-powered decision & matching engine
No monetization logic
Clear SaaS / service-oriented model
No go-to-market
Positioning, messaging, sales narrative
Misalignment across all levels
Clarity, realism, shared direction
4 years, zero output
9 months to live product
The Approach

We started with a complete reset — not the technology, but the thinking. The first step was strategic translation: aligning corporate expectations, venture thinking, and product reality. Turning assumptions into clarity, opinions into decisions, complexity into focus.

Then we rebuilt the product from first principles. Instead of adding features, we reduced. Identified real user problems, concrete use cases, measurable value. AI was repositioned from a concept to a capability — an AI-powered decision and matching engine that translates complex requirements into solutions.

We established a clear SaaS business model where none existed. Built a go-to-market with defined positioning and a structured sales narrative. In a traditional industry with low tech awareness, adoption comes from proximity — showing up, listening, proving value directly.

The biggest change wasn't technical. It was replacing pressure and confusion with clarity and shared direction.

The problem is never the technology. The problem is building something nobody asked for —

and calling it innovation.

The Result

Within nine months: product live in real-world usage. Growing adoption across initial user segments. Clearly defined use cases and positioning. Foundation for scalable revenue. Stakeholders aligned across board, management, and product for the first time in four years.

But the deeper impact was organizational. The company moved from internal misalignment to a shared understanding of how to build and scale digital products. What millions of investment couldn't deliver, product thinking did.

From misalignment to momentum. From investment to impact.

Service used
Fractional C-Suite + Company Building → 01 + 03
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