Reduce software development costs and risks with Celonis for Software Development Lifecycle Management

The trouble is companies struggle to see the causes of these issues coming – quite literally – because they lack visibility over their processes. Without total process transparency, software development teams can’t locate bottlenecks, blindspots and rigidity. And that means there’s little hope of making targeted improvements to ship faster while maintaining quality.

One of Celonis’s latest apps, however, heralds a bright new dawn.

Announced in 2024, Celonis for Software Development Lifecycle Management - powered by Bloomfilter, provides end-to-end process transparency to align business and technical stakeholders, reduce waste from rework, and minimize risk from non-compliance. It features the first AI-powered process debugger for SDLC.

Tech leaders can now easily get answers to questions such as:

• What’s being built and will I get it on time?
• Is my software development process working, and what’s impacting delivery?
• Where is there risk in the process from deviation?
• How can I use AI and data to improve the process?

How Celonis for Software Development Lifecycle Management works

The app is part of the Celonis Platform Apps Program, which was launched in 2024, and integrates with your SDLC systems and is powered by the Celonis Process Intelligence Graph. This allows the app to analyze your workflow metadata, using object-centric process mining (OCPM) to map and optimize your entire software development lifecycle. Finally, Bloomfilter’s SDLC-specific AI enhancements analyze the lifecycle and overlay risk score. These tailored insights and metrics can be used in Agile, Kanban, and other continuous improvement methodologies to enhance process adherence and efficiency.

That’s insights sorted. On to actions.

The AI-Driven Process Debugger uncovers inefficiencies from rework, bottlenecks, blindspots, and deviations from ideal processes. The root causes of delays are pinpointed, and you can set up predictive alerts from AI-driven insights forecasting resource constraints and workflow disruptions. Having evaluated risk, the app’s AI then prioritizes mitigations, scoring actions based on potential impact so you can focus on the highest-value process improvements.

The app is enabled with an AI copilot that allows teams to interrogate SDLC process performance. Instead of sifting through spreadsheets or emailing data back and forth, all users have to do now is simply ask the copilot questions to uncover pinch points or monitor risk. The app actively prescribes tailored solutions to resolve issues. Leveraging advanced AI, it identifies the root causes of delays, predicts potential disruptions, and automates process optimizations to ensure seamless execution across your SDLC.

All the while, AI continuously flags inefficiencies for ongoing, real-time process adherence tracking and optimization.

https://delivery-p141552-e1488202.adobeaemcloud.com/adobe/assets/urn:aaid:aem:d8ba07c1-074f-4034-a17c-800c6a44cba5/as/Celonis_for_Software_Development_Lifecycle_Management_-_powered_by_Bloomfilter.png

How businesses can drive efficiency and innovation across the SDLC

Celonis for Software Development Lifecycle Management enables you to transform your SDLC into a more predictable, efficient, and transparent process.

Strategy

The app allows companies to align executive planning with software development in real time to track progress, analyze business value, and ensure teams focus on priority tasks. Tech leaders can use the app to monitor changes in project scope, progress rates, and team activity to stay on track with milestones and adapt – no matter how requirements evolve.

Project efficiency

Pinpointing slow process areas empowers teams to improve efficiency and maintain project momentum. The app extends process visibility to uncovering constraints that hinder project adaptability, so teams can respond more proactively to changing requirements.

End-to-end transparency means teams can detect repeated tasks or process steps that are prone to errors, streamlining processes so projects become faster, more predictable, and achieve higher-quality outcomes.

The actionable process insights delivered by the app – from development pace to cycle times, and AI-powered risk assessments – make it easier to implement tangible optimizations in the software development workflow.

Cost control

The app helps cut costs by minimizing project overrun and rework. But you can also gain a comprehensive view of SDLC spending – from task-level costs to overall initiative budgets – to align investment and performance. Resource allocation, efficiency, and spending trends across CapEx and OpEx categories can all be tracked in the app, meaning you can improve SDLC cost-effectiveness in one solution.

Agility

Real-time insights allow your operations to become supremely nimble, so your teams can confidently respond to challenges and optimize performance across the SDLC. With this visibility, software development teams can quickly address inefficiencies and align resources with strategic priorities. Every decision and adjustment to changing demands is backed by real-time data.

The app helps software development teams achieve faster delivery cycles and a development process that flexibly responds to the business’s specific needs. For example, in just 30 days, a network security pioneer used the app to eliminate manual data exports, time-consuming data transformations, and spreadsheet reporting in its development process. The results included:

• Improving SDLC predictability, with 85% of sprints hitting goals – more than tripling the original 25% figure
• Reducing stage wait times by 30-40%
• Doubling delivery velocity.