What we do
Digital Transformation That Puts Your Company In Charge of Its Future
When it’s time to modernize, Intertech’s experienced consultants guide you through your digital transformation journey, from a detailed evaluation that provides multiple paths forward to a team of experts that melds your talent (in-house or offshore) with proven expertise. We get you across the finish line on budget and schedule.
Planning
Intertech’s software planning & requirement analysis process sets the foundation for the entire software development process.
Architecture
Our software architecture and system design stage lays the groundwork for successful software implementation by providing a clear roadmap for building the system.
Application Development
Intertech experts help you select languages and implement coding standards and development practices that are well-informed & collaborative when updating or creating new web -based and desktop applications.
Quality Assurance
Intertech brings a comprehensive and integrated approach to software quality assurance (QA) and testing that fosters a commitment to delivering software of the highest quality.
Testing
Each type of test serves a specific purpose in the software development process, contributing to the overall quality and reliability of the software. The choice of tests depends on the project’s requirements, goals, and the nature of the software being developed.
Cloud Migration & Integration
Work with a team that understands cloud migration and cloud integration, as well as application architecture and development, so you get the “cloud full stack” experience from your dev-team.
“I was impressed with the caliber of technical resources lntertech provided, and their ability to manage both the technical and business requirements components of the project. I highly recommend lntertech and their talented team.”
Asst. VP of Software Development | Stonegate Mortgage Corporation
Digital Transformation: A Roadmap for Companies
These legacy systems are often patched together with workarounds, creating inefficiencies, increasing maintenance costs, and limiting the ability to innovate. In today’s fast-moving digital landscape, where AI, machine learning, and automation tools are reshaping industries, businesses must consider modernizing these outdated systems to stay competitive.
At Intertech, we are experts in digitally transforming systems to fit your needs and budget. We understand that not everyone can afford to move their entire system to the cloud, and we can help you navigate this process.
There will always be a place for “legacy” technology in a measured hybrid environment, just as not every company needs an entire system based on microservices. Sometimes, a smaller monolith that is more agile does the trick. Digital transformation is not a one-size-fits-all solution, and our team will help you determine what is right for you.
Below, we’ve outlined the key considerations for digital transformation, the benefits of cloud platforms like Azure and AWS in the digital transformation process, the pros and cons of low-code/no-code solutions, and the risks of open-source technology. We also present a step-by-step process for a successful transformation, things to consider if your system is .NET or Java-based, and how Intertech can be a trusted partner throughout this journey.
The Challenges of Aging Monolithic Systems And Why Digital Transformation Is Necessary
An aging software system introduces significant technical challenges that impede a company’s ability to scale and innovate. These legacy systems often accumulate substantial technical debt due to frequent patches, making maintenance more complex and error-prone. Performance bottlenecks and limited scalability become prevalent as monolithic architectures struggle to meet modern demands, while outdated technologies that no longer receive security updates increase vulnerability to attacks.
Integrating modern tools like AI, machine learning, or cloud services is often cumbersome and costly due to architectural incompatibility. The rigidity of legacy systems also leads to increased operational costs, slower release cycles, and difficulty in adapting to new business needs, ultimately putting the company at a competitive disadvantage.
One Example of this is the Monolithic system—the software system built as a single, unified application.
- High Maintenance Costs: Legacy systems require constant workarounds and fixes to stay operational. This results in increased technical debt.
- Scalability Issues: Monolithic architectures struggle to scale effectively with modern cloud or hybrid environments.
- Inflexibility: Adding new features or integrating cutting-edge technologies such as AI or machine learning is difficult.
- Security Vulnerabilities: Aging software may no longer receive security updates, exposing businesses to cyber risks.
With AI, business intelligence (BI), and automated tools now available, businesses need to modernize these systems to enhance operational efficiency, improve customer experience, and maintain their competitive edge.
Thoughtfully Leveraging AI, Machine Learning, and Automation In Digital Transformation
Modernizing your IT infrastructure is no longer just about improving efficiency. It’s about leveraging next-gen tools like AI and machine learning to transform data into actionable insights and to automate manual processes, but integrating AI and machine learning into a monolithic system is challenging, as these technologies thrive in more modular and scalable architectures..
No longer can one ignore new tech in the digital transformation process. The costs of errors and inefficiency is to high with salaries and impatience on the rise. With this in mind, leveraging AI, machine learning, and automation in digital transformation provides significant opportunities to optimize processes, enhance decision-making, and unlock new business insights.
In addition, AI-driven solutions can automate complex workflows, enabling real-time data processing and reducing manual intervention. Machine learning models offer predictive analytics and can adapt over time, improving operational efficiency and better resource allocation.
- Optimize Decision-Making: Machine learning algorithms can process large volumes of data, providing insights for better business decisions.
- Enhance Customer Experience: AI-powered chatbots and virtual assistants can offer personalized services, improving user engagement.
- Increase Efficiency: Automation can eliminate manual, repetitive tasks, freeing up human resources for more strategic work.
- Improve Forecasting: BI tools integrated with AI provide businesses with predictive analytics, enabling better demand forecasting and resource management.
For software leaders, deploying these technologies is not just about improving efficiency but also building scalable, adaptive systems that can respond to changing business requirements dynamically.
Find out more about the various AI models available here.
Combining Digital Transformation and Cloud Migration In a Meaningful Way
Digital transformation and cloud migration go hand-in-hand because, in most cases, cloud platforms are central to the success of digital transformation, offering unparalleled flexibility, scalability, and access to cutting-edge technologies such as AI, machine learning, and big data analytics. Platforms like Azure, AWS, and Google Cloud Platform enable businesses to shift from rigid, on-premise infrastructures to agile, cloud-native architectures that can be scaled on demand. This allows companies to respond more quickly to changing market conditions, implement microservices architectures, and integrate advanced AI models for real-time decision-making.
However, while the benefits of cloud adoption are substantial, organizations must approach it with a measured strategy. Moving everything to the cloud without proper cost analysis can lead to unexpected and significant monthly expenses, especially when dealing with complex workloads, data storage, or high-availability requirements.
Cloud services often charge based on usage, which includes not just compute and storage but also data transfers, API calls, and resource scaling—costs that can quickly escalate if not monitored and optimized. It’s essential to conduct a thorough cost-benefit analysis and consider hybrid cloud or multi-cloud strategies that balance cloud resources with on-premise solutions for non-critical workloads. By carefully selecting what to migrate and implementing tools to manage and optimize cloud usage, businesses can leverage cloud platforms effectively, harnessing the power of AI and automation while maintaining cost control.
The Low-Code/No-Code Trap And Solutions That Provide Similar Development Efficiencies When Implement Digital Transformation
While these platforms are effective for quickly adding functionality or automating small, isolated workflows, they present several limitations when addressing broader transformation goals:
- Lack of Customization: Low-code/no-code platforms often offer limited customization. When your system needs to grow beyond these constraints, you’ll find yourself boxed in by the platform’s limitations.
- Scalability Issues: These platforms are typically built for small applications. As your business grows, scaling a low-code/no-code solution to meet enterprise-level needs can become problematic.
- Technical Debt: While you can quickly deploy solutions with these platforms, they often introduce hidden technical debt that can limit flexibility in the future.
For these reasons, low-code/no-code solutions are better suited for addressing specific, limited needs rather than forming the foundation of a comprehensive digital transformation.
Key challenges include vendor lock-in, where reliance on proprietary platforms makes switching or extending capabilities difficult without incurring additional licensing fees or needing external plugins. These platforms often abstract away core functionality, leading to unexpected performance bottlenecks or constraints when handling complex logic or scaling requirements.
Furthermore, many low-code/no-code tools offer limited control over customization and extensibility, making it difficult to integrate them into a sophisticated custom environment without third-party tools, which adds complexity and cost.
That said, these platforms can be useful for automating simple workflows, building quick prototypes, or enhancing non-critical business processes within a custom system. However, even in these cases, integration fees or the need for additional tools to bridge gaps with custom solutions may surprise teams, increasing the total cost of ownership.
In contrast, platforms like .NET/Azure and Java offer rich ecosystems of libraries and frameworks that enable similar development efficiencies while maintaining flexibility and control. For example, in .NET, Blazor and Power Apps can provide low-code-like experiences for specific use cases without sacrificing the ability to fully customize or scale when needed. Similarly, Spring Boot in the Java ecosystem simplifies microservice development, acting like a low-code platform in terms of speed while preserving full control over the underlying architecture.
Both Java and .NET also provide cloud-native tools like Azure Logic Apps, AWS Step Functions, and Google Cloud Workflows, which offer workflow automation similar to low-code platforms but within a fully customizable cloud infrastructure. These tools strike a balance between development efficiency and the need for flexibility, making them superior choices for organizations with more complex or custom-built systems.
We’ll Do It If Asked or Required, But You Must Know The Hidden Risks of Open-Source Technology In Digital Transformation
Both the Java and .NET ecosystems benefit from robust open-source communities and corporate backing (Oracle for Java, Microsoft for .NET), which ensures long-term support and innovation. The open-source projects mentioned here are not only widely adopted, but also deeply integrated into enterprise environments, offering strong documentation, active development, and a large contributor base. Their proven track record over years, along with dedicated support from either large enterprises or communities, ensures they will remain key components of these ecosystems for the foreseeable future.
However, many open-source technology, while attractive for its cost-effectiveness and flexibility, carries hidden risks that can impact long-term viability in a production environment.
One key concern is the volatility of community-driven projects, which are often subject to the whims of popularity. Libraries or frameworks that are in vogue today may become obsolete or abandoned as interest fades, leaving critical business systems reliant on unsupported or outdated technology. This can introduce security vulnerabilities and operational risks when patches or updates cease to be released.
Additionally, open-source projects can shift to commercial models once they gain widespread adoption, as was the case with MongoDB. Initially an open-source NoSQL database, MongoDB switched to a Server Side Public License (SSPL), effectively making it proprietary and limiting its use in commercial cloud services without paying licensing fees. This abrupt change can force businesses to either absorb unexpected costs or face the complex and expensive task of migrating to alternative solutions.
These risks make it essential for IT leaders and developers to evaluate the long-term sustainability and support structure of any open-source technology before adopting it for critical systems, ensuring that they are not exposed to future disruptions in both technical and financial terms.
Java & .NET Technologies That Prepare You For Digital Transformation
As companies look to modernize their technology stacks, it’s crucial to assess the state of their existing applications. Many of these technologies, though widely used in the past, have either reached or are nearing end-of-life, leaving organizations with legacy systems that are difficult to maintain, insecure, and lacking in scalability. This presents an opportune moment for digital transformation, where outdated systems can be migrated to modern frameworks and cloud-native architectures.
By upgrading to the latest versions of your existing technology and leveraging cloud services, organizations can not only improve performance and security but also take advantage of modern features like containerization, microservices, and integrated AI/ML capabilities. Below is a list of .NET and Java technologies that are either past or approaching end-of-life and should be considered for upgrading as part of any modernization initiative.
.NET Technologies to Consider for Upgrade:
.NET Framework 4.8
The traditional .NET Framework 4.8 is no longer the focus of new innovations. Microsoft has shifted its attention to the modern .NET platform (.NET 6/7+), which offers cross-platform support, performance improvements, and access to the latest APIs. Migrating to .NET Core/.NET 5+ is recommended.
Visual Basic .NET (VB.NET
While VB.NET is still supported in .NET Framework, Microsoft has stated that new language features will not be added to VB.NET in the future. It’s essentially in a maintenance mode. Companies relying on VB.NET for their applications should consider rewriting critical components in C#, which is now the primary focus of development in the .NET ecosystem.
Windows Forms
Windows Forms (WinForms) is a UI framework used for desktop applications in the .NET Framework. Though it is partially supported in .NET Core and later versions, it is considered legacy and not recommended for new development. WPF (Windows Presentation Foundation) and more modern options like Blazor (for web UI development) or MAUI (Multi-platform App UI) for cross-platform applications should be considered.
ASP.NET Web Forms
ASP.NET Web Forms, a legacy web development framework, is no longer supported in .NET Core/.NET 5+. It has been superseded by ASP.NET Core, which offers better performance, modularity, and scalability. Companies should consider transitioning to ASP.NET Core with modern frontend frameworks like Blazor, Angular, or React.
WCF (Windows Communication Foundation)
WCF, once a popular choice for building service-oriented applications, is not supported in .NET Core or later versions. Companies relying on WCF should consider modern alternatives like gRPC or RESTful APIs built with ASP.NET Core, which offer better performance and are more suited for cloud-native architectures.
Silverlight
Microsoft Silverlight was once used for building rich web applications but has been discontinued since 2021. Any existing Silverlight applications should be rewritten using modern web technologies such as Blazor, Angular, or React.
Enterprise Library
Microsoft's Enterprise Library, which provided a set of reusable components for data access, logging, and other enterprise tasks, has been deprecated for years. Modern alternatives like Microsoft.Extensions.Logging, Entity Framework Core, and Dependency Injection frameworks should be adopted instead.
Java Technologies to Consider for Upgrade:
Java SE 8
Although still in wide use, Java SE 8 is in long-term support (LTS), with newer versions like Java SE 11 and Java SE 17 offering improved performance, security, and modern language features. Upgrading to a more current LTS version is recommended.
Java EE
Java EE has been renamed and rebranded as Jakarta EE under the Eclipse Foundation. While still functional, migrating to Jakarta EE ensures continued support, modern cloud-native features, and better integration with modern microservices architectures.
EJBs (Enterprise JavaBeans)
EJBs, once foundational for building enterprise applications, are now largely considered outdated due to their complexity. Modern alternatives like Spring Boot, Micronaut, or Quarkus offer more lightweight and flexible microservice architectures.
JSP/JSF (JavaServer Pages/JavaServer Faces)
These technologies are still in use but are generally considered outdated for modern web development. Transitioning to newer front-end frameworks like Thymeleaf, Spring MVC, or JavaScript-based frameworks like Angular and React is recommended.
Struts 1.x
Struts 1.x is considered obsolete, and even Struts 2 has largely been replaced by Spring MVC and other more modern MVC frameworks. Migration is essential to avoid security vulnerabilities and technical debt.
Apache Ant
Ant is an old build tool that has largely been replaced by Maven or Gradle in modern Java development due to their superior dependency management and easier configuration. Migrating to Maven or Gradle will streamline build processes and improve maintainability.
JAXB
JAXB, once used for XML data binding, has been deprecated in the JDK. Alternatives like Jackson (for JSON) or Jakarta XML Binding are recommended to ensure compatibility and support.
GlassFish and Older Application Servers
Older versions of application servers like GlassFish and JBoss are becoming obsolete. Modern alternatives like Payara, WildFly, or lightweight options such as Spring Boot and Quarkus provide better support for cloud-native architectures.
Log4j 1.x
With the discovery of critical vulnerabilities in older versions of Log4j, it’s essential to upgrade to Log4j 2 or consider alternatives like SLF4J with Logback for secure and modern logging practices.
By initiating a digital transformation as your system nears end-of-life and addressing these outdated technologies now—at a time when critical advancements are taking center stage—organizations can future-proof their systems, enhance operational efficiency, and position themselves to capitalize on modern cloud and AI-driven innovations.
Digital Transformation Roadmap & Strategy Template
By following this structured process, a company can clarify its goals, prioritize modernization needs, and ensure the chosen solution aligns with budget constraints and business objectives. The framework addresses potential challenges, such as technical debt, security vulnerabilities, and system inflexibility, while emphasizing a balanced evaluation of feasible options. Engaging an outside expert for an unbiased assessment is crucial; it brings fresh insight, experience in cutting-edge technology, and a clear, objective analysis of the system’s strengths and weaknesses.
This external perspective helps to illuminate issues that may be overlooked internally, enabling the company to make informed decisions with a long-term view of growth, efficiency, and innovation.
Identify the Need for Modernization
- Assess Current Pain Points: Document operational inefficiencies, performance bottlenecks, security vulnerabilities, and maintenance issues with the existing system.
- Benchmark Against Competitors: Compare with industry standards and competitors' technology, noting areas where the current system limits scalability or innovation.
- Review Business Goals and Future Needs: Identify if the system aligns with future business goals, scalability requirements, and anticipated technology trends (e.g., AI, machine learning, cloud integration).
Conduct a Feasibility Study
- Evaluate Technical Debt: Quantify technical debt by assessing outdated code, unsupported dependencies, and frequent patch requirements.
- Identify System Incompatibility: Examine areas where the current system cannot integrate with modern tools, limiting flexibility.
- Determine Stakeholder Impact: Interview key stakeholders (executives, IT, end-users) to understand how system issues affect business operations, customer satisfaction, and employee productivity.
Set Clear Objectives for Modernization
- Define Success Metrics: Establish metrics like improved system performance, reduced maintenance costs, faster release cycles, and enhanced security.
- Prioritize Needs: Based on business goals, determine which areas (e.g., scalability, performance, compliance) are most critical.
- Align with Budget Constraints: Set a preliminary budget range based on expected ROI and the available modernization budget.
Analyze Available Modernization Options
- Evaluate Different Approaches:
- Assess Tool Integration Feasibility: Determine if tools like AI, machine learning, or cloud services can integrate effectively with each modernization option.
- Consider a Phased Approach: Identify if modernization can occur incrementally to minimize disruption and spread out costs.
-
– Replatforming: Moving existing applications to new infrastructure with minimal code changes.
– Rearchitecting: Redesigning the system for improved performance and scalability.
– Replacing: Implementing new systems that align better with current and future business needs.
Conduct an Initial Cost-Benefit Analysis
- Estimate Costs: Break down projected costs for each option, including licensing, infrastructure, labor, and ongoing support.
- Calculate Expected ROI: Project potential gains, such as increased productivity, reduced downtime, and improved scalability.
- Evaluate Long-Term Savings: Consider the reduction in maintenance costs and decreased technical debt that modernization may bring.
Engage Outside Experts for an Independent Assessment
- Hire a Consulting Firm: Bring in a software consulting firm with experience in system modernization for an unbiased assessment.
- Perform a Comprehensive System Review: Have consultants analyze the existing system's architecture, dependencies, and technical debt.
- Request a Detailed Report: Expect a report outlining the current state, potential risks, and recommendations with pros and cons for each modernization option.
Receive and Review the Modernization Plan
- Attend a Findings Presentation: Engage stakeholders in a presentation where the consulting firm outlines options, risks, and expected outcomes.
- Align Plan with Company Goals: Ensure the proposed solutions align with the company's long-term strategic goals and budgetary limits.
- Discuss Implementation Timeline: Review the estimated timelines for each option, including potential phases and expected completion dates.
Finalize Requirements and Budget
- Refine Objectives and Requirements: Narrow down specific features, integration needs, and security requirements based on consultant recommendations.
- Adjust the Budget Accordingly: Based on the evaluation, refine the budget to reflect the chosen modernization approach and available resources.
- Develop a Contingency Plan: Allocate a portion of the budget for unexpected expenses or scope changes during modernization.
Prepare and Release a Bid for the Modernization Project
- Draft a Request for Proposal (RFP): Clearly outline the requirements, success metrics, timeline, and budget for modernization. Include technical and functional specifications based on the consultant’s findings.
- Include Evaluation Criteria: Define how bids will be evaluated, such as past experience, approach to risk management, adherence to timeline, and cost-effectiveness.
- Distribute the RFP to Qualified Vendors: Send the RFP to vendors experienced in system modernization, with references and proven expertise.
Evaluate Bids and Select a Vendor
- Compare Proposals Against Requirements: Assess each bid’s ability to meet defined objectives, budget, and timeline.
- Request a Presentation from Top Vendors: Have top vendors present their proposed approach, addressing how they would handle potential risks and achieve success metrics.
- Negotiate and Finalize the Contract: Negotiate terms to include clear deliverables, timelines, and penalties for delays or non-performance.
Download Roadmap Poster File
Barriers to Digital Transformation
Before embarking on a digital transformation journey, it’s crucial for your organization to understand the potential barriers to digital transformation you may face based on your size and operational complexity. Whether you are a small business with limited resources, a mid-sized company dealing with legacy systems, or a large enterprise managing technical debt and organizational silos, these challenges can slow down or even derail the transformation process.
This guide outlines the specific barriers that small, medium, and large companies often encounter when implementing a digital strategy, and provides practical workarounds to overcome these obstacles, ensuring a smoother path to modernization and innovation. By proactively addressing these barriers, businesses can better prepare for a successful digital transformation that aligns with their long-term goals.
Small Companies
Small businesses often face barriers like limited budgets, lack of in-house expertise, and scalability concerns when implementing a digital transformation strategy, but there are effective ways to overcome these challenges without overwhelming resources.
Barriers:
- Limited Budget: Small companies often face financial constraints that limit their ability to invest in new technologies, infrastructure, or external expertise.
- Lack of Expertise: Small businesses may not have in-house technical experts capable of designing and implementing a complex digital transformation strategy.
- Resistance to Change: Employees in small companies may be more resistant to changing established manual processes, particularly if they feel uncertain about their roles in an automated environment.
- Scalability Concerns: Many small businesses worry about over-investing in solutions that may not scale effectively as the company grows.
Workarounds:
- Prioritize Investments: Focus on high-impact, low-cost digital solutions that can bring immediate benefits, such as automation for repetitive tasks or cloud-based platforms that reduce upfront infrastructure costs (e.g., SaaS models).
- Leverage Outsourcing: Partner with third-party vendors or consultants to provide digital expertise and technical implementation without the cost of building an internal team.
- Adopt a Phased Approach: Implement changes gradually, starting with small, easily adaptable projects. This reduces the risk of overwhelming the business and helps build trust in new processes.
- Use Scalable Cloud Solutions: Adopt cloud platforms like AWS or Azure that offer pay-as-you-go models, which allow the business to scale resources as needed without large upfront investments.
Medium Companies
Medium-sized companies frequently encounter complexities with legacy systems, data silos, and leadership alignment, but with a hybrid approach and strategic data unification, they can overcome these barriers to drive meaningful transformation.
Barriers:
- Complex Legacy Systems: Medium-sized companies may have outdated systems that are deeply integrated into their operations, making them difficult to replace or modernize without significant disruption.
- Data Silos: As businesses grow, they often develop data silos across departments or systems, preventing efficient use of data and hindering collaboration.
- Inconsistent Leadership Buy-In: Digital transformation initiatives often require cross-departmental collaboration, and leadership across all areas may not be aligned or fully convinced of the benefits.
- Managing Change: Medium-sized organizations often face challenges in managing the change process, including employee training and maintaining productivity during transitions.
Workarounds:
- Hybrid Solutions: Rather than a complete overhaul, adopt a hybrid approach where legacy systems are gradually integrated with modern technologies. This allows for smoother transitions with less operational risk.
- Data Unification Strategy: Implement a unified data strategy by integrating modern data management solutions like cloud-based data lakes or warehouses, ensuring consistent access and analysis across the organization.
- Clear Communication and Leadership Alignment: Facilitate workshops or strategy sessions with key leaders to ensure that all departments are aligned on the goals and benefits of digital transformation.
- Change Management Programs: Implement formal change management practices to prepare employees for new technologies and processes. Training programs, continuous communication, and leadership involvement are crucial to minimize resistance.
Large Companies
Large enterprises must navigate significant technical debt, organizational silos, and the risks of operational disruption during digital transformation, yet phased modernization and enterprise-level change management can mitigate these challenges while ensuring security and compliance.
Barriers:
- Legacy Infrastructure and Technical Debt: Large enterprises often have highly complex, outdated legacy systems with significant technical debt, making it difficult and costly to modernize without interrupting operations.
- Organizational Silos: Large organizations may have deeply entrenched departmental silos, both in terms of technology and culture, which can prevent smooth collaboration and integration of new systems.
- Risk of Disruption: Due to the scale of operations, even small disruptions during the transformation process can have a massive impact on productivity and customer satisfaction.
- Security and Compliance: With larger datasets and more complex workflows, ensuring compliance with regulatory frameworks (e.g., GDPR, HIPAA) and securing critical data can be a major hurdle during transformation efforts.
Workarounds:
- Prioritize Core Systems Modernization: Focus digital transformation efforts on the core systems that provide the most significant value and scalability. Modernize them in phases to minimize disruption while preserving business continuity.
- Adopt Cross-Department Collaboration Tools: Invest in platforms that encourage collaboration and break down silos, such as cloud-based project management and communication tools (e.g., Microsoft Teams, Slack, or Asana).
- Enterprise-Level Change Management: Use robust enterprise change management strategies, including pilot programs and phased rollouts, to mitigate disruption and ensure teams are comfortable with new processes before full-scale adoption.
- Cloud-Based Security and Compliance Tools: Work closely with cloud providers to ensure compliance and security measures are built into the digital strategy. Cloud providers like AWS, Azure, and Google Cloud offer advanced security frameworks, encryption, and compliance certifications that can reduce the burden on in-house teams.
General Overcoming Strategies for All Company Sizes
- Clear Vision and Leadership Support: Across all company sizes, having a clear vision for the digital transformation strategy and strong leadership support is crucial. Executives need to articulate the benefits and be champions of the change.
- Culture of Continuous Learning: Implement a company-wide culture of continuous learning, encouraging employees to adapt to new technologies and processes through regular training programs, workshops, and certifications.
- Measurable KPIs: Define measurable KPIs for digital transformation, such as productivity improvements, cost reductions, and customer satisfaction scores, so that progress can be tracked and the strategy can be adjusted as needed.
- Start Small and Scale: Regardless of company size, it's important to start with smaller projects that have clear, manageable outcomes and then scale based on lessons learned. This helps avoid overwhelming teams and minimizes risk.
Digital Transformation and Agile
Digital transformation and Agile work hand in hand, complementing each other to create a more responsive, scalable, and innovative business environment. While digital transformation focuses on overhauling an organization’s technology infrastructure, processes, and customer experience through the adoption of modern tools such as cloud computing, AI, and automation, Agile transformation specifically targets the development process by encouraging iterative, flexible, and collaborative work methodologies. Including Agile in the process ensures that as digital transformation progresses, projects remain adaptable, customer-centric, and capable of delivering continuous improvements.
For small companies, Agile methodologies can help manage resource constraints by focusing on incremental value delivery and avoiding the pitfalls of large, rigid projects, while for medium-sized businesses benefit from Agile’s ability to break down silos and foster cross-departmental collaboration, a critical component as they modernize systems and integrate new digital tools.
When it comes to large enterprises, where complex, multi-department transformations are common, Agile facilitates better communication, reduces the risks of large-scale disruption, and ensures that each phase of the digital transformation delivers measurable outcomes.
Agile’s sprint-based framework also allows for rapid experimentation with new technologies, enabling businesses of any size to pivot quickly if digital transformation initiatives need adjustments. While digital transformation is a long-term, organization-wide shift, Agile’s focus on quick iterations and continuous feedback helps ensure that these changes are implemented efficiently, with minimal waste and maximum business impact.
Together, these transformations create a robust strategy that integrates modern technology with a flexible, iterative development approach, making businesses more resilient and adaptable in the face of evolving market demands.
For more about Agile Development, click here.
Key Points In The Digital Technology Transformation Process
Successfully modernizing your system requires a strategic, well-planned approach. Listed are some of the essential considerations within the digital transformation process that help ensure your digital transformation is effective:
Conduct an External Evaluation
The first step is to bring in an outside perspective to assess your current system so you can compare your findings with their theirs. An unbiased evaluation from an experienced third party, like Intertech, ensures that the assessment is not influenced by any existing biases or internal limitations. It also presents the perfect opportunity to find the right partner. Set a budget and ask more than one firm to evaluate and present. In most cases this is what our clients did before enlisting our team and it provided confidence in our selection and as we moved forward with the project.
Create a Modernization Roadmap
Based on the findings of the evaluation, create a detailed roadmap that outlines the transformation journey. This plan should identify key technologies, integration points, and timelines. You can find a more detailed list of how we evaluate systems in some situations at this link. — (Make sure to open the drop downs to discover all the details of each step)
Break Down the Current System and/or Monolith
Instead of a complete overhaul, begin by breaking the monolithic system into manageable pieces or microservices. This approach allows for gradual modernization while minimizing business disruption. In many cases a complete voerhaul to microservices is not the right solution since they can become so large and unmanageable, but make sure they are in the conversation. Modularity and ease of maintainablility can be attained in many ways.
Leverage Cloud Services
Use cloud platforms like Azure or AWS to provide the infrastructure for your new system. Cloud environments make it easier to integrate AI, machine learning, and BI tools and often have pre-packaged and supported tools and libraries that make development much easier and the addition of features you may not have expected on your budget.
Monitor and Adapt
Digital transformation is an ongoing process. Regularly monitor the system’s performance, security, and scalability. Be ready to adapt to new technologies and evolving business needs. This is the benefit and new world you will have at your fingertips.
Accurately Estimating Modernization & Digital Transformation
Click the link to explore the full range of options for taking your systems forward effectively.
Accurate Estimating
Conclusion
Upgrading a system that is nearing its end-of-life is a complex but necessary task to ensure long-term business success. By migrating to the latest proven technology, adopting cloud-native services, improving security practices, and embracing modern development frameworks, your company can unlock the full potential of its IT infrastructure and more than just a digital transformation, realize business transformations never thought possible.
Digital Transformation software companies are often direct competitors of Accenture and Deloitte, large and expensive. Intertech, as your digital transformation expert, is the size of firm that values you as a client and provides the in-depth service and guidance needed to tailor a modernization plan to fit your business’s unique requirements. Whether your system needs an architectural overhaul, cloud integration, enhanced security measures, or all the above, we’re here to help you navigate every step of the way, ensuring a successful upgrade that meets both your current and future needs.
Why Choose Our Senior Software Development Consultants?
Our full-time senior software development consultants bring invaluable experience from multiple projects, providing you with:
Architectural guidance that fits with your team's skills
Objective issue identification and solution development
Identify Problems Quickly and Provide Clear Solutions
Security and governance since 1991


A Different Type Of Staff Augmentation.
Staff Aug
Full-Time Professionals
Part of a Rich Network of Collective Knowledge
Rapid Integration & Quick Adaption to Project Needs
Soft Skills That Value Communication Skills
Value-Based Rates That Focus On Budgeted Results
Scalable Teams That Adjust To Your Project Needs.
Project Teams
Onshore Senior-Led Teams
Painless Execution & Delivery Manager Oversight
Rich Network of Scalable Assets
Rapid Integration & Quick Starts
Value-Based Rates That Focus On Budgeted Results
Contact us