CoLAB — AI-powered innovation workspace concept

AI Strategy · Enterprise Innovation · Master Thesis · 2024–2026

Designing AI-assisted innovation
inside a 30,000-person organisation.

Enterprise Client · New Commercial Development · MSc Strategic Design, POLI.DESIGN

AI Strategy · Service Design · Enterprise Innovation · Master Thesis

The Problem

A major European retailer’s New Commercial Development division was responsible for finding the next generation of commercial opportunities — before competitors did. They had a six-stage innovation funnel. But the first stage, the one that frames every decision that follows, had no system at all. No shared workspace. No protocol. No shared language.

The challenge was not to add more AI tools. It was to design a workflow that 50+ people across functions could actually use, trust, and iterate on together.

Four compounding organisational failures in the innovation process

Diagnosis: four interconnected dysfunctions in the innovation process

The Design Challenge

From the diagnosis, four How Might We questions emerged — one for each failure mode. Process, collaboration, knowledge, and capability. The design brief became: how do you build a single coherent system that answers all four simultaneously?

How Might We — four questions, one coherent system

HMW reframe — one design challenge per organisational failure

Process

Phase 1 — Workflow Prototype Design

Designed and built an AI-assisted innovation workflow prototype using rapid prototyping techniques. The goal was to give the division a shared mental model for how AI maps to their existing stages of work: idea exploration, experimentation, and iteration.

Phase 2 — AI Product Co-Development

Led early-stage market research and concept framing for an AI-enabled product being co-developed with an external vendor. Contributed strategic inputs that directly shaped the product roadmap and compressed the vendor's development timeline by 3+ months.

Phase 3 — Trend Detection Tool

Developed prototype logic for an AI-powered trend detection system that enabled the innovation team to act on emerging product signals 6–8 weeks earlier than their existing process allowed.

Phase 4 — Omnichannel Strategy

Contributed to the design of an omnichannel strategy mapping 10–20 customer touchpoints across physical and digital retail channels. Supported pilot rollout across 3–5 stores with iterative refinement.

Key Output

CoLAB — a shared, persistent, process-structured workspace that makes the innovation funnel the environment in which work happens, not a document to consult. The before/after user journey map shows how the system transformed every step of the innovation workflow.

User journey before and after CoLAB — innovation workflow transformation

Before / After CoLAB — the innovation workflow across all 7 stages

Outcomes

Stakeholders aligned50+ across functions
Vendor timeline compression3+ months saved
Earlier signal detection6–8 weeks faster
Touchpoints mapped10–20 across physical + digital
Stores piloted3–5 with iterative refinement
“Working inside a large organisation taught me that the hardest design problem isn’t the product — it’s the people system around it. Clarity of process is itself a strategic asset.”