Enterprise innovation today doesn’t lack ambition — it lacks proof. The strategic and cultural conditions for innovation are well developed in most organizations, but the infrastructure that would turn intent into measurable outcomes consistently lags behind. The distance between what enterprises invest in innovation and what they can demonstrate is the impact gap.
In this session, Qmarkets shares findings from a recent study of innovation maturity across enterprise organizations, including three patterns that explain why so many programs feel busy but can’t show results: the strategy-execution split, the broken impact chain (76% of programs leak value between intent and outcome), and the infrastructure deficit (69% can’t report on their impact in real time). Ilona Gochman and Elliott Wilkins of Qmarkets discuss the structural shifts that close the gap — and why infrastructure has to come first before AI or any intelligence layer can do useful work.
Slides from this webcast are available in PPT and PDF form below. They also referred webcast participants to this assessment on innovation maturity and AI readiness.
Here are five tips that Ilona Gochman and Elliott Wilkins of Qmarkets shared during the webcast.
1. Connect Innovation Strategy to Day-to-Day Execution
A strong innovation strategy only creates value if it is translated into clear execution plans. Organizations should define how they will structure portfolios, measure success, and track impact before launching initiatives.
2. Build and Protect the Entire Impact Chain
Innovation leaders should focus on the entire journey from strategy to implementation and scaling — not just idea generation. Every stage should be connected so that promising ideas can consistently produce business results.
3. Measure Impact Continuously — and Tell the Story
“We have dozens of ideas that turned into projects…[but] the teams did not own the story, so they could not tell it.” – Ilona Gochman
Teams should track meaningful outcomes throughout the innovation process rather than waiting until the end to prove value. Ongoing measurement makes it easier to demonstrate results and communicate innovation’s impact to stakeholders.
4. Strengthen the Innovation Infrastructure Before Adding AI
“If you just skip straight to the AI, then you’re just accelerating what’s already broken.” – Elliott Wilkins
AI is most effective when it builds on strong processes, integrated systems, and reliable data. Organizations should fix fragmented workflows and infrastructure first, then use AI to amplify—not compensate for them.
5. Continuously Reassess Your Portfolio as Business Priorities Change
Innovation portfolios should be managed as dynamic strategic assets that evolve with changing business priorities. Regularly reviewing projects ensures they remain aligned with organizational goals and continue creating value.
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