Had a fascinating conversation with a tech leader last week at the Amazon Web Services (AWS) AWS Data and Ai Day excitedly experimenting / implementing AI across their business while still using lifecycle management frameworks literally designed in 1962. We are all familiar with that lifecycle graph from 62. The disconnect was painful to witness.
Here's the uncomfortable truth most AI vendors won't tell you: Bolting AI onto outdated lifecycle governance processes isn't innovation – it's expensive decoration. Your competitors making the same mistake are burning through budgets while wondering why their AI initiatives aren't delivering transformative results.
The data is clear: Companies trying to implement AI without modernising their lifecycle frameworks first are experiencing higher implementation costs and taking longer to reach production. Most never achieve the promised business outcomes and end up being phased projects over many years of transformation.
At Skyjed, we've completely reimagined the fundamental lifecycle framework before adding intelligence layers. The result? AI implementation that's 3x faster, substantially more cost-effective, and delivers on business case promises.
The sequence matters: Modernise your lifecycle approach first, then add AI. Do it backward, and you'll join the growing club of executives with impressive AI pilot programs that mysteriously get phased from the original intent and never scale to meaningful business impact.
A truly modern lifecycle governance framework isn't just a digital version of decades-old processes—it's a fundamental reimagining of how products and services evolve in today's dynamic market. Unlike traditional frameworks that follow rigid sequential phases, modern approaches like Skyjed's embrace continuous feedback loops, real-time risk assessment, and adaptive decision-making processes that respond to market shifts in hours rather than quarters.
The key differentiator? Integration of governance throughout the entire lifecycle—not as checkpoints to pass, but as an intelligence layer that continuously informs strategic decisions. This means embedding compliance, risk management, and performance optimisation as living components rather than after-the-fact considerations.
Advanced AI governance frameworks automate regulatory monitoring, predict potential issues before they emerge, and provide contextual decision support that factors in both short-term gains and long-term sustainability.
The companies we're engaging with implementing these modern frameworks are seeing governance transform from a cost area to a strategic advantage embedded in the commercial teams not a Risk function, reducing time-to-market by up to 40% while simultaneously strengthening risk management. In essence, modern lifecycle governance isn't about controlling innovation—it's about accelerating it by removing the uncertainty, silos and friction that typically slow organisations down when scaling.
That might explain those disappointing ROI numbers and why your board is asking increasingly uncomfortable questions about AI investments.
Want to learn more about modern lifecycle management best practices or how Skyjed can transform your approach? Reach out directly – I'm sharing our framework with forward-thinking leaders who are ready to stop decorating outdated processes and start building a true competitive advantage.
Cheers and until next edition!
Leica
Contact Skyjed today for a personalised demonstration.
About Skyjed
Watch our 30 second Skyjed Overview video here
Skyjed’s AI-powered end-to-end lifecycle and governance platform is mission control for lifecycle management and governance. Bringing together every data point across your portfolio and lifecycle into a single source of truth, it gives our clients a new perspective to make more strategic lifecycle decisions to launch, monitor, optimise, and win.
Our industry-leading platform has received numerous awards and recognition from clients and industry bodies, demonstrating our commitment to innovation and excellence.