Innovation leaders are under more pressure than ever to deliver real, measurable returns. AI is enabling teams to move faster and operate with fewer resources, but at the same time, it’s becoming harder to show clear, strategic impact.
We’ve all seen the patterns. Programs launch with a splash, generate hundreds of ideas, maybe run a pilot or two… and then stall. Or they drift into “innovation theatre” – bold, high-visibility projects that put on a good show but are often misaligned, under-resourced, and nearly impossible to scale.
Eventually, the same thing happens: stakeholders lose confidence, budgets get pulled, and someone new is brought in to start over. It’s a frustrating cycle, and it wastes time, money, and talent.
So why does this keep happening?
To answer the question, it helps to look at how corporate innovation has evolved and what’s been missing from the picture until now.
How Corporate Innovation Got Here
Over the last 20 years, I’ve seen the innovation function inside large organizations go through several major shifts.
In the beginning, it was all about ideation. Companies were focused on surfacing as many ideas as possible – from employees, customers, anyone with a good suggestion. The tools changed over time, from physical suggestion boxes to digital platforms and hackathons, but the basic premise stayed the same: collect ideas, and hope some of them lead somewhere.
For many teams, this phase was also about building a long term process of culture of innovation – encouraging creativity, breaking down silos, and signaling that new thinking was valued.
That led to the next phase: structure. Dedicated teams were set up, pipelines were introduced, and processes were formalized. Companies started to run targeted challenges, evaluate ideas more rigorously, and bring more discipline to how initiatives were selected and managed.
There was also a growing recognition that you can’t just look inward, so we saw a rise in open innovation, startup engagement, and tech scouting. External signals began to shape where and how companies invested – and this was also the beginning of more deliberate foresight work and early efforts to manage innovation as a portfolio, not just a collection of isolated projects.
Alongside this came heavy investment in long term strategic projects, “moon-shots”. These are high risk but high potential investments, that in most cases focused on breakthrough innovations that could take >5 years to mature.
But as innovation programs became more mature, they also became more complex. The expectations grew, and so did the pressure. It was no longer enough to generate ideas or employee engagements, or even run pilots internally or with open innovation. Leaders were expected to deliver outcomes that aligned with strategy, and to do it faster, with fewer resources, and clearer ROI.
This pressure only intensified in the face of economic uncertainty. As markets became more volatile, the tolerance for innovation without visible, near-term impact began to shrink, and innovation leaders are under pressure to show short term results.
Now, with AI and automation accelerating discovery and evaluation, the bar is even higher. Innovation is expected to be smarter, more connected, and more accountable – all while operating under tighter timelines and shrinking budgets.
The tools and the language have evolved, but many of the core challenges remain. Innovation is still too often fragmented, disconnected from outcomes, and difficult to scale. That’s why a different approach is needed.
Putting Impact at the Center
If there’s one thing most innovation leaders agree on, it’s that impact matters. Everyone wants to see tangible outcomes. Not just ideas or startups to partner with in a pipeline, and only building collaborative innovation knowledge bases – but showing real results that move the business forward.
The problem is, while many companies say they want innovation with impact, most don’t have the structure to support it. They treat impact as a bonus rather than a guiding principle. It shows up in retrospectives and board slides, but rarely in the day-to-day decisions that shape how innovation actually happens.
To make innovation truly deliver, impact has to be at the center of your strategy. Every stage of the process – from where you focus your efforts, to how you evaluate opportunities, to how you scale success – needs to be aligned toward a clear set of outcomes. That’s easier said than done. Most organizations are still facing the same roadblocks:
- Teams pulling in different directions, without shared priorities
- Disconnected systems, data, and processes that make collaboration difficult
- No consistent way to track ROI or understand what’s working
What’s needed is a different kind of setup. One that brings together the right people at the right time, and aligns them around shared outcomes. A framework that connects business needs, external insights, and emerging opportunities through a clear, structured process, so that innovation efforts actually build toward something measurable.
We call this approach Impact-Driven Innovation, and it’s where we’ve been focusing our work at Qmarkets. It’s not just about better engaging with startups, collecting interesting trends,  sourcing better ideas or even running innovation pilots – it’s about creating the conditions for innovation to consistently support business goals, across teams, technologies, and timeframes.
Impact doesn’t happen by accident. It requires focus, coordination, and a clear understanding of what success looks like. That means identifying real business needs, engaging with the right people inside and outside the organization, evaluating all innovation activities consistently, and being able to track what’s actually delivering value.
At Qmarkets, our products and roadmap have always been shaped in close collaboration with some of the world’s most forward-thinking innovation teams. While many vendors have focused heavily on the front-end – collecting trends, ideas & startups, or encouraging participation and knowledge sharing – we’ve made impact a core part of our approach from the beginning. The tools we’ve built are designed not just to capture input, but to ensure alignment with business needs and to support the execution of real, scalable solutions.
As the innovation landscape evolves, we’re doubling down on this focus – making sure our platform and services are always built to support one thing above all: delivering measurable, meaningful impact.
We believe this is the direction innovation needs to move in, and we’re committed to helping our customers get there. You can learn more about our approach here.
