June 30, 2026
6 min read
Sales Manager, Comsys
Over the past few years, sitting across the table from business owners, Chief Information Officers, and operations leaders, I have noticed a recurring pattern.
The industry changes. The company size changes. The level of technology maturity changes. But the core challenge often sounds the same.
Organizations want to automate approval workflows, create customer portals, modernize internal applications, improve reporting, connect scattered systems, and give teams better tools for daily work.
But they have a serious problem with execution.
As one Chief Information Officer recently put it to me: “We don’t lack good ideas. We have lots of them; but we have a problem executing them.”
That sentence captures one of the most important technology challenges I see in the market today.
The Hidden Cost of Waiting
When the distance between identifying an operational need and delivering a working application becomes too long, the backlog stops being only an IT issue. It becomes a business constraint.
We see it in everyday workarounds.
Departments run business-critical processes through spreadsheets because the reporting tool they need is still waiting for development capacity. Customer service teams manage requests through manual email threads. Operations teams duplicate information across systems because the proper integration has not been prioritised. Managers wait for visibility that should already be available.
None of these examples may look dramatic on their own. But together, they slow the organization down.
Data becomes fragmented. Teams lose time. Processes become harder to control. Customers and employees feel the impact. And IT teams are asked to do more with resources that are already stretched.
It is easy, and unfair, to treat IT as the bottleneck. Most internal technology teams are not blocking progress. They are overloaded.
They have to maintain core systems, protect security, support users, manage integrations, respond to incidents, and deliver new business requests at the same time. The demand for applications has grown faster than the traditional delivery model can realistically absorb.
AI Raises the Pressure Further
This pressure is now amplified by the growing expectation that artificial intelligence should deliver practical value across operations.
But experienced technology leaders know the reality: AI cannot create meaningful business impact when workflows are still manual, data is fragmented, and processes depend on informal workarounds.
Before an organization can become truly AI-ready, it must first understand and structure the way work actually happens.
That means digitizing workflows, connecting data, reducing manual steps, and creating applications that reflect real operational needs.
In other words, application delivery and AI readiness are now closely connected. Clearing the backlog is about moving faster. It is also about building the digital foundation that allows intelligence, automation, and better decision-making to work in practice.
Business Teams Are Becoming More Precise
One of the most interesting changes I see in client conversations is that business teams are no longer bringing only abstract problems.
● They often bring the shape of the solution.
● They know the approval steps.
● They know which data fields matter.
● They know where the process breaks.
● They know what should be automated and where human oversight is still required.
This changes the discussion. The question is no longer only, “How do we build this single project?” It becomes, “How do we deliver this kind of application repeatedly, faster, with the right governance, and without creating more technical debt?”
This is where Low-code becomes strategically relevant. Not as a shortcut. Not as a way to bypass IT. And certainly not as a free-for-all.
Low-code matters because it changes the delivery model. It helps bring business knowledge closer to execution, while keeping technical teams in control of architecture, integration, security, and long-term maintainability.
The Real Value Is Sustainable Application Generation
The strongest value of Low-code is not “easy development.”
Serious business applications are never trivial. They need clear requirements, secure architecture, reliable integrations, testing, user adoption, and support after go-live.
The real value is sustainable application generation.
A mature Low-code approach reduces repetitive development effort, shortens delivery cycles, and gives organizations a more structured way to turn business requirements into working applications.
It also addresses what happens after launch.
Building an application is only part of the challenge. The real test comes later: when requirements change, systems evolve, integrations need to be maintained, and security or compliance expectations increase.
A governed application generation model helps applications scale and evolve with less risk, less rework, and stronger long-term control.
Speed Without Governance Creates New Problems
Of course, speed alone is not enough.
If Low-code is introduced without clear use cases, architectural rules, ownership, and governance, it can create a new form of fragmentation. Organizations may end up with disconnected applications, duplicated data, unmanaged workflows, and shadow systems that are difficult to secure or maintain.
The same risk is now appearing with unmanaged AI experimentation.
Without architecture, speed can simply make risk appear faster.
That is why the right starting point is not the platform conversation. It is the use case conversation.
● Where are teams losing the most time today?
● Which process is still handled through email or spreadsheets?
● Which application request has been delayed for months?
● Which workflow would create immediate operational value if delivered faster?
A service request workflow. A contract approval process. A customer complaint management tool. A field operations interface. A reporting application for management teams.
These are the kinds of use cases that show where the backlog is hurting the business, and where a more repeatable delivery model can make a visible difference.
From Backlog to Business Execution
This is exactly the realization behind Jaggle.eu, our AI-powered, Low-code platform.
Jaggle.eu is designed to help organizations move from application backlog to business execution, allowing business teams to co-author workflows while giving IT centralized governance over security, data, integration, deployment, and long-term maintainability.
Traditional development will always have its place, especially for core systems and highly specialized requirements. But it cannot absorb the full volume of modern business demand on its own.
Organizations need a more repeatable way to deliver the applications that keep operations moving.
Because moving forward, the market leaders will not simply be the companies with the best ideas.
They will be the ones with the governed execution engine to deliver them.
About the Author
Kostas Bithimitris is an information technology executive with more than 25 years of experience in Digital Transformation, Customer Experience and Conversational AI solutions.
He studied Electronics and during his 25-year career, he has served in Sales Management roles in several technology companies, achieving strong customer relations and sales growth.
He is the Sales Manager of Comsys, responsible for the sales outreach throughout the entire solution portfolio of the company.
Sales Manager, Comsys
Over the past few years, sitting across the table from business owners, Chief Information Officers, and operations leaders, I have noticed a recurring pattern.
The industry changes. The company size changes. The level of technology maturity changes. But the core challenge often sounds the same.
Organizations want to automate approval workflows, create customer portals, modernize internal applications, improve reporting, connect scattered systems, and give teams better tools for daily work.
But they have a serious problem with execution.
As one Chief Information Officer recently put it to me: “We don’t lack good ideas. We have lots of them; but we have a problem executing them.”
That sentence captures one of the most important technology challenges I see in the market today.
The Hidden Cost of Waiting
When the distance between identifying an operational need and delivering a working application becomes too long, the backlog stops being only an IT issue. It becomes a business constraint.
We see it in everyday workarounds.
Departments run business-critical processes through spreadsheets because the reporting tool they need is still waiting for development capacity. Customer service teams manage requests through manual email threads. Operations teams duplicate information across systems because the proper integration has not been prioritised. Managers wait for visibility that should already be available.
None of these examples may look dramatic on their own. But together, they slow the organization down.
Data becomes fragmented. Teams lose time. Processes become harder to control. Customers and employees feel the impact. And IT teams are asked to do more with resources that are already stretched.
It is easy, and unfair, to treat IT as the bottleneck. Most internal technology teams are not blocking progress. They are overloaded.
They have to maintain core systems, protect security, support users, manage integrations, respond to incidents, and deliver new business requests at the same time. The demand for applications has grown faster than the traditional delivery model can realistically absorb.
AI Raises the Pressure Further
This pressure is now amplified by the growing expectation that artificial intelligence should deliver practical value across operations.
But experienced technology leaders know the reality: AI cannot create meaningful business impact when workflows are still manual, data is fragmented, and processes depend on informal workarounds.
Before an organization can become truly AI-ready, it must first understand and structure the way work actually happens.
That means digitizing workflows, connecting data, reducing manual steps, and creating applications that reflect real operational needs.
In other words, application delivery and AI readiness are now closely connected. Clearing the backlog is about moving faster. It is also about building the digital foundation that allows intelligence, automation, and better decision-making to work in practice.
Business Teams Are Becoming More Precise
One of the most interesting changes I see in client conversations is that business teams are no longer bringing only abstract problems.
● They often bring the shape of the solution.
● They know the approval steps.
● They know which data fields matter.
● They know where the process breaks.
● They know what should be automated and where human oversight is still required.
This changes the discussion. The question is no longer only, “How do we build this single project?” It becomes, “How do we deliver this kind of application repeatedly, faster, with the right governance, and without creating more technical debt?”
This is where Low-code becomes strategically relevant. Not as a shortcut. Not as a way to bypass IT. And certainly not as a free-for-all.
Low-code matters because it changes the delivery model. It helps bring business knowledge closer to execution, while keeping technical teams in control of architecture, integration, security, and long-term maintainability.
The Real Value Is Sustainable Application Generation
The strongest value of Low-code is not “easy development.”
Serious business applications are never trivial. They need clear requirements, secure architecture, reliable integrations, testing, user adoption, and support after go-live.
The real value is sustainable application generation.
A mature Low-code approach reduces repetitive development effort, shortens delivery cycles, and gives organizations a more structured way to turn business requirements into working applications.
It also addresses what happens after launch.
Building an application is only part of the challenge. The real test comes later: when requirements change, systems evolve, integrations need to be maintained, and security or compliance expectations increase.
A governed application generation model helps applications scale and evolve with less risk, less rework, and stronger long-term control.
Speed Without Governance Creates New Problems
Of course, speed alone is not enough.
If Low-code is introduced without clear use cases, architectural rules, ownership, and governance, it can create a new form of fragmentation. Organizations may end up with disconnected applications, duplicated data, unmanaged workflows, and shadow systems that are difficult to secure or maintain.
The same risk is now appearing with unmanaged AI experimentation.
Without architecture, speed can simply make risk appear faster.
That is why the right starting point is not the platform conversation. It is the use case conversation.
● Where are teams losing the most time today?
● Which process is still handled through email or spreadsheets?
● Which application request has been delayed for months?
● Which workflow would create immediate operational value if delivered faster?
A service request workflow. A contract approval process. A customer complaint management tool. A field operations interface. A reporting application for management teams.
These are the kinds of use cases that show where the backlog is hurting the business, and where a more repeatable delivery model can make a visible difference.
From Backlog to Business Execution
This is exactly the realization behind Jaggle.eu, our AI-powered, Low-code platform.
Jaggle.eu is designed to help organizations move from application backlog to business execution, allowing business teams to co-author workflows while giving IT centralized governance over security, data, integration, deployment, and long-term maintainability.
Traditional development will always have its place, especially for core systems and highly specialized requirements. But it cannot absorb the full volume of modern business demand on its own.
Organizations need a more repeatable way to deliver the applications that keep operations moving.
Because moving forward, the market leaders will not simply be the companies with the best ideas.
They will be the ones with the governed execution engine to deliver them.
About the Author
Kostas Bithimitris is an information technology executive with more than 25 years of experience in Digital Transformation, Customer Experience and Conversational AI solutions.
He studied Electronics and during his 25-year career, he has served in Sales Management roles in several technology companies, achieving strong customer relations and sales growth.
He is the Sales Manager of Comsys, responsible for the sales outreach throughout the entire solution portfolio of the company.
