Having dedicated and self-managed software teams is an excellent option because their composition is designed according to your specific requirements. The team has control over the development process and can make changes easily as the project evolves. The benefit is not only from the group of engineering professionals with different skills and expertise but also from the tools and practices that come with the service, such as information security considerations, development frameworks, and specialized guidance.
With this service your business gains flexibility, scalability and the ability to directly manage your application and/or feature versions with unlimited technical support from EDSA.
Easy to manage. Once the team is operational, you can stop the service in a planned way without any additional charges.
The client will have direct communication with a project leader. EDSA will propose brief weekly follow-up meetings.
Since you don't have to worry about unpredictable expenses when selecting, screening, and assembling IT specialists into a team: we do trhat for you.
We provide a dedicated project manager who oversees the process and daily workflows, and reports to your project manager (or service owner) as frequently as necessary to ensure process transparency and alignment with your goals. This way, you'll have more time to focus on the core aspects of the project.
Staff turnover entails hidden costs. From the loss of knowledge affecting project speed to recruitment costs, project delay costs, among others.
| Key attributes | EDSA | Traditional models | Value generated |
|---|---|---|---|
| Operating model | Integrated teams + AI + agents | Individual resources or fragmented teams | Greater coordination, efficiency, and focus on outcomes |
| Use of AI agents | Embedded across processes and workflows | Limited or no use | Faster execution, better decisions, and higher quality |
| Approach to value | Continuous value generation | Task or resource-based delivery | Stronger impact on business objectives |
| Ownership & management | End-to-end ownership of delivery and outcomes | Responsibility distributed or client-managed | More control, lower risk |
| Decision-making | Data and AI-assisted | Individual-driven | More accurate and timely decisions |
| Execution speed | Accelerated through AI and shared expertise | Dependent on individual performance | Faster time-to-market |
| Continuous optimization | Ongoing improvement through AI and learning systems | Reactive or client-driven evolution | Sustained performance over time |
| Client integration | Teams embedded in the business | External contributors | Better alignment and execution |
| Security & AI governance | Controlled use of AI and defined processes | No clear standards | Stronger data protection and responsible AI use |
| Team continuity | Stable teams with accumulated knowledge | High turnover | Greater consistency and long-term efficiency |