Engineering backlogs are a common pain point for software development teams across industries. From bug fixes and tech debt to feature requests and testing requirements, the backlog often grows faster than teams can address it—causing delays, stress, and bottlenecks. But the good news is that advancements in AI and automation are changing the game, enabling teams to reduce their backlog faster while improving quality and productivity.
With expertise in applying AI in the software development lifecycle (SDLC), we’ll explore the key technologies that backlog teams should consider with real-world examples across BFSI, Healthcare, and ISV sectors, and how KMS Solutions supports clients with expert AI engineers and automation testers to streamline backlog management.
Key Technologies to Relieve Backlog Stress
Modern engineering teams are under pressure to deliver faster, with higher quality, and with fewer resources. Emerging technologies now provide practical ways to accelerate delivery, reduce manual effort, and support faster iteration.
AI for Faster Coding and Development
Tools like GitHub Copilot, Amazon CodeWhisperer, and Tabnine use large language models (LLMs) trained on vast amounts of programming data to suggest code snippets, auto-complete functions, and even generate entire lines of code. AI can significantly reduce the time needed for common coding tasks—effectively shortening sprint cycles
✅ How it helps reduce backlog:
- Cut development time by suggesting ready-to-use code for common patterns.
- Help engineers quickly accelerate feature development and bug fixing.
- Free up developers to focus on designing architecture or solving complex logic, while routine code structures are filled in by AI.
Advanced Automation Testing
Among the root causes of engineering backlog build-up is the time-consuming nature of manual testing. As product complexity grows, manual QA simply can’t keep pace, and technical debt accumulates with every sprint.
Automation testing is a strategic solution to this problem. By enabling teams to test faster, more frequently, and with higher accuracy, automation plays a central role in reducing the burden on developers and QA engineers—and in keeping the backlog under control.
✅ How it helps reduce backlog:
- Accelerate test execution during sprints or release cycles.
- Reduce manual testing bottlenecks.
- Ensure backlog items aren’t stuck waiting for QA.
Robotic Process Automation (RPA) for Repetitive DevOps Tasks
In DevOps environments, engineering teams are often bogged down by repetitive, rule-based tasks that consume valuable time and human resources. By implementing RPA, many repetitive and low-value DevOps tasks can be automated, such as environment provisioning, report generation, or log parsing. This allows engineers to stay focused on innovation rather than firefighting or handling routine tickets.
✅ How it helps reduce backlog:
- Free up engineering capacity
- Automate deployment workflows consistently across environments
- RPA can be configured to automatically log actions and generate reports.
Case Studies: On-Demand Engineering Teams Speed Up Development Backlog with AI & Automation
To understand the impact of how engineering teams leverage AI and automation to reduce backlog reduction, let’s explore the success stories from global businesses in different industries:
Banking & Financial Services: Accelerate the Development of Mobile Banking App
Client: A leading Vietnam-based bank Asia Commercial Bank (ACB)
Challenge: The bank needed a secure, high-performing mobile app to serve the business banking needs of their corporate clients.
Solutions: The bank partnered with KMS Solutions to delineate a mobile product roadmap and develop a banking app that centers on customer experience. The KMS team, including 11 software engineers, testers, and business analysts, applied an Agile approach, integrated AI and test automation, and ensured security.
Business Outcomes:
- Released a banking app MVP within 4 months.
- Ensure customer centricity and data security.
- Help the bank Increase time-to-market
Read the full case study at: How ACB Embraced Mobile Banking to Engage the New Gen of Customers
Healthcare: Reduce the Backlog of Support Tickets and Product Defects
Client: Greenphire, an industry’s leading provider of clinical payment and solutions
Challenge: The company was seeking an experienced production support partner to help:
- Reduce the backlog of support tickets and product defects
- Free up Greenphire’s in-house engineers to focus on developing innovative new features
- Increase scalability and support capacity, especially with handling support tickets
- Quickly accelerate their data specific capabilities
Solutions: By engaging with KMS, the on-demand engineering team helps Greenphire:
- Utilized JIRA to streamline backlog management, requirements, and key decisions.
- Built a structured database for test cases and automated regression testing with Jenkins and GitHub.
- Implement automation for testing and maintenance, reducing manual effort and post-live defects.
- Establish robust data warehousing, ETL pipelines, and business intelligence frameworks.
Business Outcomes:
- 2,600+ manual testing hours saved manually
- Faster development and releases, accelerating new feature development.
- A new self-support model freed up engineering resources to focus on strategic innovation.
- Streamlined process for improved ticket resolution enhanced support capacity and scalability.
Read the full case study at: Automating Greenphire’s Product Suite to Simplify Clinical Payment
Independent Software Vendors: Revolutionize Legacy Systems with GenAI and Automation in the Extraction Process
Client: The industry leader in utility data management in Australia – Optima.
Challenge: Struggling with the legacy data analysis system, Optima sought an AI-driven solution that could quickly resolve technical challenges.
- Outdated .NET framework and monolithic system
- Frequent production issues and rising technical debt
- Data processing limitations
Solutions: KMS assembled a dual-team structure to minimize disruption and speed up development process by transitioning to serverless microservices. Additionally, KMS also integrated advanced GenAI models, including solutions from OpenAI, Google, and AWS, to tackle the variability of PDF invoices head-on
Business Outcomes:
- Reduce costs by nearly 50%, eliminate frequent production issues, and successfully roll out a new AI-powered solution.
- Reduce processing time from hours to just 2-3 minutes per invoice, helping Optima handle up to 100,000 invoices per month.
- KMS’s automation efforts slashed manual data processing tasks—which previously accounted for nearly 30% of the business operation.
How KMS Solutions Can Help: AI Engineers & Automation Testers
At KMS Solutions, we specialize in helping engineering teams adopt AI and automation to transform software delivery and reduce backlog efficiently. Here’s how our expertise can support your engineering challenges:
1. AI-Powered Development Acceleration
Our AI engineers help clients integrate next-gen development tools into their SDLC. This includes:
- Applying AI throughout the software development lifecycle (SDLC)
- Building custom AI solutions for task classification, smart backlog grooming, or code summarization
- Setting up automated documentation generation and smart version control strategies
These initiatives reduce development friction and boost output across the board.
2. Test Automation Experts Tailored for BFSI, Healthcare & ISVs
With deep domain expertise, KMS provides test automation engineers who can:
- Design scalable, custom automation testing frameworks using tools like Katalon, Selenium, Appium, and TestNG
- Automate repetitive QA tasks and integrate tests into CI/CD pipelines, eliminating manual testing bottlenecks that often delay feature delivery
- Use AI to monitor test coverage, auto-generate test cases, and adapt to UI changes
Especially in BFSI and Healthcare, where compliance and quality are non-negotiable, our solutions ensure every release is fast, stable, and secure.
3. End-to-End Automation Services
KMS brings a holistic automation strategy that spans development, testing, deployment, and operations—ensuring every team operates with peak efficiency. We help automate:
- DevOps tasks (CI/CD pipelines, environment setups)
- Automated performance regression testing and load simulations for every major release.
- Post-release monitoring and incident management
- Reduced human bottlenecks in routine processes through RPA
By connecting automation across the entire lifecycle, we reduce manual workload and improve throughput.
Final Thoughts: A Backlog-Free Future Is Within Reach
Backlog stress doesn’t need to be the default state for engineering teams. With AI and automation technologies maturing rapidly, organizations now have the opportunity to clear long-standing bottlenecks, increase delivery velocity, and boost developer satisfaction.
Whether you’re building software for finance, healthcare, or enterprise clients, integrating automation tools across the lifecycle isn’t just a nice-to-have—it’s becoming a necessity for staying competitive.
If you’re looking to free your engineering team from the backlog burden, KMS Solutions is ready to help with skilled AI engineers and automation testers who understand your domain and your goals.
