Why “Time-To-Value” Is Becoming the Key Metric of Digital Transformation

Digital transformation is now a key strategic priority in virtually every organisation. CIOs, CDOs, Heads of AI and CAIOs are driving initiatives to automate business processes, enable data-driven decision-making and integrate artificial intelligence into operational value creation. Yet regardless of industry or company size, the same pattern emerges time and again: the number of ideas and initiatives is growing faster than the organisation’s ability to implement them.

 

 

The growing digitalisation backlog

Many organisations now have an extensive backlog of initiatives:

• Process automation
• AI initiatives
• Data platforms
• Integration projects
• Internal applications for business departments
• Modernisation of existing systems

 

Every department recognises the potential of digital technologies to accelerate processes or unlock new opportunities. The problem is not a lack of vision. The problem is implementation capacity.

 

Digitalisation teams today are under significant pressure. At the same time, they must:

• Operate existing systems
• Evaluate new technologies
• Enable AI initiatives
• Ensure governance and compliance
• Build trust across the organisation
• Implement projects requested by business departments

 

Newly established digitalisation teams in particular operate in a challenging environment. They are expected to deliver results while simultaneously building the organisational foundation for digital transformation.

 

The result is a structural bottleneck. The backlog continues to grow, while expectations for faster implementation keep increasing.

 

 

The new reality of software development

At the same time, a technological development is fundamentally changing the playing field. Large language models specifically trained for code generation are evolving rapidly.

 

Today they are capable of:

• Generating complete services
• Creating integrations
• Developing user interfaces
• Writing test cases
• Supporting deployment pipelines

 

With the same resources, organisations can now implement significantly more solutions than just a few years ago. The barrier to entry for software development is decreasing. But this is exactly where a dangerous misconception emerges. Because building software is not the same as running enterprise software sustainably.

 

 

Sustainable software is strategic infrastructure

Anyone who has operated an application in production for several years knows: The first release is only the beginning.

 

Enterprise software must continuously:

• Be extended
• Be maintained
• Be connected to new systems
• Meet compliance requirements
• Run reliably
• Scale

 

A prototype can solve a problem quickly. But without a solid architecture, it quickly becomes a long-term burden. In many organisations, this creates a new problem: Maintenance effort eventually exceeds the original development effort.

 

 

Software investments are strategic investments

Companies often still treat software projects like traditional IT projects. But software has long since become strategic infrastructure. The comparison with industry is fitting.

 

When a manufacturing company purchases a new production machine, several key questions are asked:

• Can the machine increase production output?
• Does it improve quality?
• Can it open up new customers or markets?
• Will the investment pay off in the long term?

 

The same questions must also be asked when investing in software. The real ROI is not created by prototypes. It is created by stable, productive systemsthat continuously deliver value.

 

 

The missing platform layer

Many organisations are currently trying to address their backlog solely by accelerating software development. However, speed alone is not enough. What is missing is a platform that orchestrates the entire digital transformation.

 

Such a platform must cover several dimensions:

• AI-assisted development
• Integration of existing systems
• Process automation
• Orchestration of AI agents
• Governance and compliance
• Operations and monitoring

 

Only when these elements work together can organisations sustainably implement their digital initiatives.

 

 

Time-to-value becomes the key metric

The central question is therefore no longer: “Can we build this solution?” With modern AI tools, the answer is almost always: yes. The crucial question is: How quickly can we turn an idea into real business value?

 

In many organisations, the journey from: Idea → Prototype → Productive software → Business impact still takes months or even years.

 

In a world of exponential technological development, that is simply too slow. Companies that reduce their time-to-value gain a significant competitive advantage.

 

 

Agentic Process Orchestration as an approach

Agentic Process Orchestration combines several crucial elements:

• AI-assisted development
• Enterprise integration
• Process automation
• Orchestration of intelligent agents

Instead of building isolated solutions, this approach creates a platform that enables organisations to systematically implement digital initiatives.

 

 

How Scheer PAS Supports Companies

At Scheer PAS, we support organisations exactly in this scenario. Companies face the challenge of implementing a large number of automation and digitalisation initiatives.

 

Our platform enables organisations to:

• Develop solutions faster
• Seamlessly integrate existing systems
• Orchestrate processes across system boundaries
• Deploy AI-driven automation productively

The key effect is clearly measurable: Time-to-value decreases dramatically.

 

 

Conclusion

Digital transformation is no longer a question of ideas. There are plenty of ideas. The decisive factor is execution speed. Companies that can turn their backlogs into productive solutions will be the winners of the next decade. Digital leadership today therefore means one thing above all:

 

Consistently reducing time-to-value.

 

More information about using Scheer PAS AI Agents can be found here.