Shift Enterprise IT from Projects to a Product Operating Model That Sticks
Many IT organizations struggle to move beyond traditional project-based approaches, despite recognizing the benefits of product operating models. This article draws on expert perspectives to address two critical success factors: establishing sustainable funding for business capabilities and implementing new working practices that replace outdated methods. These insights provide practical guidance for IT leaders committed to making the transition permanent.
Fund Persistent Business Capabilities
The biggest mistake organizations make when moving from a project mindset to a product operating model is changing the terminology without changing how technology is funded, governed, and measured.
At Jeskell, when we work with clients through infrastructure modernization, we encourage them to think beyond individual projects and instead organize technology investments around persistent business capabilities. A storage modernization, cloud initiative, AI platform, or cyber resilience program should not simply end when the implementation is complete. Those environments continue to evolve as data grows, workloads change, security requirements increase, and new business demands emerge.
The single change that makes this mindset stick is establishing ongoing ownership and funding around the capability rather than the project. Instead of assembling a temporary team, completing an implementation, and moving everyone to the next initiative, organizations assign clear accountability for the performance, cost, resilience, and evolution of that environment over its entire lifecycle.
That does not have to slow delivery. In fact, it can accelerate it because teams no longer have to rebuild context, governance, and funding every time a new requirement emerges.
My advice is to start with one critical technology capability and give a cross-functional team responsibility for its lifecycle, including infrastructure, data, security, cost, and business outcomes. Measure that team on continuous value rather than whether a project was completed on time.
The real transition from project to product happens when technology stops being viewed as something an organization finishes implementing and starts being managed as a capability the business continuously improves.
Replace Old Work With New Rituals
We transitioned without losing momentum by treating the operating model change as a capacity redesign rather than a culture program. In many enterprise IT groups, momentum slows when leaders add new rituals to old obligations. We took the opposite approach and removed old work whenever we added a new product ritual. Fewer steering decks and status meetings gave teams more room to work differently.
The deeper shift was in how people viewed their work. Teams had been rewarded for finishing tasks rather than sustaining outcomes. We reframed success around stewardship and made teams responsible for their choices. That changed priorities because teams discussed technical debt earlier and made clearer trade-offs, which helped us maintain momentum.
Embed Ongoing User Discovery
Customers should be involved throughout product discovery, not only at the start or before launch. Regular interviews, prototype reviews, and feedback sessions reveal needs that planning documents often miss. Product teams can test assumptions early and avoid spending months building the wrong solution.
This ongoing contact also helps customers understand why certain choices are made. Feedback should include people who use the service often, as well as those who struggle with it. Build continuous customer discovery into every product cycle.
Hold Leaders Accountable for Outcomes
A product operating model becomes real when leaders are held accountable for customer results, not just delivery dates. Incentives should measure outcomes such as reduced wait times, higher task completion, or lower service costs. These measures help leaders make better tradeoffs when scope, funding, or priorities change.
Teams will focus less on launching features and more on whether those features solve a real problem. Clear outcome targets also make product ownership easier to understand across the business. Link leadership goals to customer outcomes now.
Invest in Shared Platform Foundations
Shared platforms reduce the repeated work that often slows large IT organizations. Common tools, data services, security patterns, and integration methods allow teams to build on proven foundations. This gives product teams more time to improve customer-facing experiences.
Platform standards should be useful and easy to adopt, rather than heavy rules that create delays. Teams still need room to meet special business needs when a standard does not fit. Invest in a simple, trusted platform foundation today.
Create Evidence-Based Product Roadmaps
A durable product roadmap explains the direction of a product over time instead of acting as a fixed promise of features. Usage data can show which services create value, where users drop off, and what needs improvement. Product teams should combine that data with business goals, customer feedback, and technical health.
The roadmap can then guide funding and staffing decisions across several planning periods. It should be reviewed often because customer needs and market conditions can change. Create roadmaps that follow evidence, not guesses.
Reward Meaningful Adoption and Reliability
A project culture often rewards finishing work, even when nobody uses the result. A product culture should recognize teams that learn quickly, increase meaningful adoption, and keep services dependable. Fast learning means testing ideas early and changing direction when evidence shows a better path.
Adoption measures should focus on valuable use, not simple login counts or downloads. Reliability matters because customers will not trust a service that fails during important work. Reward the behaviors that create lasting value.