Why CAI for Application Modernization

Modernization can unlock a wealth of organizational potential. Whether you are amplifying innovation or enhancing the speed needed to respond to shifting environments and demands, CAI brings deep expertise in both public-facing digital services and internal enterprise management systems. Supported by a proven application modernization strategy that respects your existing technology landscape, our application modernization and migration services allow you to modernize at your own pace.

Experience solutions that seamlessly bridge legacy applications and modern systems while positioning you for future evolution. Through user-centric design, rigorous security practices, and flexible cloud solutions, we deliver accessible, secure, and scalable applications that serve both public sector and commercial enterprises effectively.

CAI’s project management methodology delivers transparency and stakeholder engagement throughout the development process while keeping in mind that modernization means having a pulse on emerging technologies like artificial intelligence (AI) and what it takes to efficiently integrate them without compromising security or reliability.

Whether you're modernizing citizen services or streamlining internal operations, our comprehensive capabilities and understanding of public sector and commercial requirements make us an ideal partner for your digital transformation journey.

Webinar On-Demand

Collaborating with end users to improve legacy modernization outcomes

Learn from 3 guests sharing best practices and challenges for modernizing a critical legacy application in the government transportation industry that issues over 400,000 permits annually.

Go to webinar page to view with transcript →

What We Do

Adaptive project management

Incremental modernization strategy

Both public sector and commercial enterprises operate complex ecosystems of interconnected systems, each serving critical functions. Rather than requiring a complete overhaul of all legacy applications and systems simultaneously. CAI enables targeted, phased application modernization services for individual systems while maintaining seamless integration with existing infrastructure. Through carefully designed interfaces and flexible architecture, new systems work harmoniously with legacy applications while being positioned for future integration as other systems are modernized.

End-user involvement

Our clients are central to the application development process. Continuous engagement ensures that end-user perspectives shape every aspect of the application modernization service over the development lifecycle. Through regular demonstrations of working software, stakeholders can experience and provide feedback on functionality as it's built, rather than waiting for final delivery. This immediate feedback loop allows us to refine requirements and adjust development priorities in real time.

Predictive agile methodology

The predictability of traditional project planning and the adaptability of agile execution combine to form CAI’s hybrid methodology. This balanced approach provides agencies and organizations with clear long-term roadmaps and budget forecasting while maintaining the flexibility to adapt to changing requirements and priorities. Through structured sprint cycles, we deliver continuous value while adhering to predetermined milestones and documentation requirements. Our approach particularly excels in environments where projects require both detailed, upfront planning and the ability to accommodate evolving needs due to policy changes or shifting requirements.

Project management and collaboration tools

We leverage enterprise-grade project management platforms like Azure DevOps and Jira to ensure complete traceability and transparency across all project activities. Every requirement, code change, test result, and deployment is tracked and linked, creating a clear chain of accountability and verification. The platform serves as the single source of truth for project information, enabling data-driven decisions and proactive risk management.


Foundational architecture approach

Pragmatic application modernization strategy

CAI application modernization strategy recognizes the reality of your system landscapes where legacy applications must coexist at different stages of modernization. We design solutions with intelligent interfaces that can communicate both with existing legacy applications and systems and their future modernized versions. Through carefully crafted integration layers and adaptable APIs, modernized applications seamlessly interact with legacy systems today while being positioned to take advantage of enhanced capabilities as connected systems are upgraded. By implementing flexible integration patterns and abstraction layers, CAI ensures that application modernization efforts can proceed incrementally without disrupting critical services. This approach allows you to modernize at your own pace while ensuring consistent service delivery.

Architectural excellence

User-centric architecture ensures systems are intuitive, efficient, and meet the needs of both public sector and commercial enterprises. CAI’s approach prioritizes accessibility by exceeding Section 508 compliance requirements and adhering to WCAG 2.1 guidelines, making services available to users of all abilities.

Security is woven into every stage of development, with comprehensive testing that includes both static application security testing (SAST) and dynamic application security testing (DAST), to verify applications satisfy and maintain FedRAMP compliance requirements. As an organization, CAI maintains SOC2 Type I attestation, demonstrating our commitment to the security, availability, and confidentiality of services. Our architectural patterns emphasize scalability, maintainability, and resilience, making certain systems can adapt to changing needs while maintaining performance. These measures establish robust data protection while maintaining system usability across diverse environments.

Continuous delivery and DevOps

CAI DevOps practices create a culture of collaboration between development and operations teams, paving the path for smooth delivery from code to production. Through continuous integration and deployment practices, we establish robust pipelines that automate builds, testing, and deployments while maintaining strict security controls.

Automated testing suites verify functionality, security, and performance at every stage of application development, while infrastructure as code establishes consistent environments across the development lifecycle. CAI implements comprehensive monitoring and alerting to proactively identify and address potential issues before they impact users. This systematic approach to application development and operations maintains service continuity while accelerating the delivery of value to users, reducing deployment risks, and sustaining compliance with security requirements.


Tailored cloud solutions

Platform flexibility

CAI cloud expertise spans public sector and commercial cloud environments, empowering us to implement the optimal solution aligned with your security requirements. Our platform-agnostic approach certifies you are not locked into a single vendor, providing flexibility for future scaling and adaptation—versatility that allows CAI to implement cloud-native applications within all providers (including AWS, Azure, Google Cloud, private cloud implementations), hybrid architectures, and on-premises solutions when required. CAI-tailored cloud solutions support seamless integration between environments, enabling you to leverage the best of each platform while maintaining unified management and security controls.

Cloud implementation models

Cloud implementation strategy that adapts to your modernization pace and requirements. CAI cloud implementation models leverage various service models including Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Database as a Service (DBaaS) to optimize costs and operational efficiency. Identify and select the most appropriate service models based on your specific needs, security requirements, and operational capabilities. CAI helps you build modern, scalable application solutions that balance innovation with practical constraints while maximizing return on investment.

Cloud

Process acceleration with generative artifical intelligence (AI)

Project management applications

Leveraging generative AI solutions to enhance project management efficiency while maintaining human oversight of critical decisions is a vital tool for accelerated innovation. AI assists in requirements analysis by identifying patterns and potential gaps in documentation, significantly reducing analysis time. CAI’s deployment of AI-driven tools helps streamline status reporting, risk identification, and meeting documentation, automating routine tasks that traditionally consume hours of team time. Focus can be retrained to strategic decision-making and stakeholder engagement rather than administrative documentation.

Application development acceleration

CAI development processes incorporate AI tools to improve code quality and accelerate delivery while maintaining strict security standards. AI-assisted code generation and review processes identify potential improvements and security vulnerabilities early in the development cycle, significantly reducing manual review time. CAI utilizes AI for code optimization, dependency analysis, and automated documentation generation, tasks that traditionally take developers hours to complete manually, allowing for complex problem-solving while drastically accelerating routine tasks.

Application testing augmentation

AI enhances CAI testing capabilities by expanding coverage and improving efficiency through comprehensive assessment scenarios. Automated script creation accelerates the process by generating and executing appraisals in a fraction of the time required for manual testing. AI-powered testing tools help identify edge cases, generate test data that complies with security requirements, and predict potential failure points before they impact users. This approach facilitates more thorough testing coverage while reducing cycles from weeks to days, certifying faster delivery without compromising quality.

Data and Artificial Intelligence

Next steps

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