Agility and innovation drive businesses forward in this constantly evolving digital transformation landscape. This empowers them to streamline operations, accelerate development cycles, and deliver exceptional customer experiences. As a leading platform for digital workflows, ServiceNow has been a critical enabler of these transformations. Notably, with the integration of Generative AI on the platform, ServiceNow is poised to revolutionize how organizations develop, deploy, and manage IT services. But how is Gen AI ServiceNow making waves in the software development services market?
As we all understand, generative AI can generate human-like text, translate languages, write creative content, and answer your questions informally. So, it sets out to take a transformative leap when organizations start leveraging Gen AI in ServiceNow solutions in enterprise development and workflow automation. So, if you’re also wondering how they do it or what Next-gen AI ServiceNow capabilities are bringing this revolution in how businesses develop or deploy digital products, this blog is for you. This blog post will guide you through 7 crucial steps to effectively integrate ServiceNow Gen AI solutions into your development process for increased efficiency, innovation, and customer satisfaction.
Understanding Servicenow Gen AI in Development: An Overview
ServiceNow embraces new platform capabilities and embeds generative AI into their development workflows, so courtesy of these three tools, developers across the industries are seeing a boost in productivity, efficiency, and time-to-market acceleration:
- AI Search with GenAI: It lets users generate actionable answers to user-asked questions to improve self-service significantly. Data is sent to a large language model (LLM), which summarizes the information into a single answer. Follow-up questions and answers are supported. This differs from a simple AI search, where a list of sources is generated for the user to sort through. Early results show positive feedback from employees.
- Now Assist for Creator: Formerly text-to-code, this tool frees developers who often face repetitive and time-consuming work when creating the same code for routine commands. With this tool, developers can now write plain, natural-language text descriptions of the type of code they want. Generative AI converts the text into intelligent code suggestions or complete code, which can be shared, reviewed, edited, and executed. This can boost developer productivity and development cycles.
- Generative AI Controller: The controller allows businesses to connect ServiceNow instances to domain-specific or general-purpose LLMs, such as OpenAI and Azure OpenAI. This will enable them to easily embed generative AI in any workflow without recreating LLM integrations from scratch. It will also give the development team limitless opportunities to use generative AI to produce knowledge-based content.
7 Ways to Revolutionize Your Development with Gen AI ServiceNow Solutions
ServiceNow’s Generative AI solutions are undoubtedly reshaping the development lifecycle, making it more efficient, agile, and innovative. However, GenAI ServiceNow goes beyond automating repetitive tasks or enhancing collaboration. How? Let’s understand the way Gen AI in ServiceNow can supercharge your development process.
1. Streamline Information Access
Before you begin development, it’s essential to have some key information readily available. With AI search capabilities, ServiceNow enables developers to swiftly locate relevant help documentation, knowledge articles, or code snippets. Unlike traditional methods, which require sifting through various sources separately, AI Search delivers immediate answers based on queries specific to your topic, thereby streamlining research and troubleshooting efforts.
For example, suppose developers require help fixing a particular code segment. In that case, AI Search provides the most accurate solutions to assist developers, save their time, and allow them to focus on implementation procedures.
2. Support Code Generation
AI code generation gives developers a robust foundation, streamlining the process of writing intricate code, no matter their expertise. This automation tool, “Assist for Creator,” utilizes natural language inputs to generate code, manages repetitive tasks, and minimizes manual coding work. Instead of entering standard code manually, developers articulate their requirements, and it ideally delivers code snippets or entire solutions.
It speeds up production, minimizes potential errors, and enables developers to progress swiftly during the early coding stages.
3. Boost Productivity with Automation
Automating repetitive, low-value tasks is a significant component of an efficient development process. ServiceNow’s GenAI tools help automate incident routing, bug tracking, deployment scheduling, and even the creation of work notes and summaries. For example, AI-powered workflows can automatically route incidents to the correct department or generate summary reports from lengthy work logs, freeing developers’ time to focus on coding and problem-solving. This also leads to better alignment across teams and reduces administrative bottlenecks.
Example: In one of our recent projects with Specsavers, AI Search helped developers resolve technical issues faster, improving overall project timelines. Specsavers, a leading optical retail chain operating across multiple countries, needed to address incident management and service request handling challenges. With Binmile’s expert team, the retail chain successfully implemented ServiceNow to streamline their incident, problem, change, and service request management processes. This optimization significantly improved the efficiency and quality of their Global Business Operations.
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4. AI Testing for Higher Quality Code
Ensuring the developed code is of high quality is crucial for achieving the development process’s objective of producing stable, especially bug-free software. AI-powered testing tools create test cases to identify defects during development.
ServiceNow’s Predictive Intelligence can also assist with this by helping determine which areas of the code are most likely to fail and directing developers’ testing to priority zones. This holistic testing strategy improves code quality, minimizes the occurrence of defects, and shortens release times.
5. Leverage Predictive Analytics
Based on statistical trend analysis, risk intelligence can help identify potential risks and workflow bottlenecks. With this data-driven foresight, development teams can be aware of some problems that may likely surface.
For instance, predictive models can help developers notice activities that are likely to take longer than planned or which areas of the project will need more resources. This can help teams develop strategies so they won’t experience surprises contributing to project delays.
6. Use Knowledge Sharing to Improve Collaboration
Quick access is the key to effective collaboration. With ServiceNow Gen AI capabilities, you can automatically develop, modify, or update knowledge base articles, documentation, and responses to frequently asked questions for recurring issues and common queries. The model can learn and probe into developing circumstances continuously and develop pertinent responses, meaning that ideas are always up-to-date and advanced.
This allows developers to use the best material and solve the problem without repeatedly bringing it to the committee, discussing it, and then returning it, saving time and effort.
7. Integrate Advanced AI Models
The key feature of Gen AI ServiceNow capabilities empowers developers to enhance their workflows by integrating the latest advancements in artificial intelligence. This includes seamlessly incorporating external LLMs, such as OpenAI, into ServiceNow workflows. By utilizing advanced AI for tasks like code generation, predictive insights, and knowledge sharing, it optimizes development through real-time intelligent support, ultimately boosting decision-making and productivity.
This integration enhances productivity, accelerates decision-making, and streamlines development by providing real-time, tailored AI assistance across workflows, optimizing the entire process.
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Closing Statement
Intelligent enterprise development is no longer in the distant future; it is already here and supported by Gen AI in ServiceNow solutions. We have seen so far how the technology, Generative AI, has the potential to transform the way developers work within ServiceNow by automating mundane tasks, enhancing workflows, and enabling more intelligent decision-making. As businesses around the world navigate the complex world of digital translation, the winner is the one who can strategically implement Next-gen AI ServiceNow capabilities. After all, what matters is not that you know the nuance of any technology but how correctly and effectively you are leveraging it.
Hopefully, our blog has given you a detailed overview of how Next-gen AI ServiceNow solutions empower businesses to harness their full potential. So, are you all set for your AI development transition? Our ServiceNow consulting services specialists understand your unique business challenges and can help architect a customized Gen AI solution that aligns with your organizational goals.
Get in touch today for a free consultation on how we can guide your transformation with ServiceNow!
