In today’s fast-paced business environment, efficiency and quality are top priorities. Platforms like ServiceNow have become indispensable as organisations strive to deliver seamless IT service management. However, maintaining consistent quality in request and ticket handling can be resource-intensive, requiring manual reviews to ensure compliance with guidelines and service standards.
At Cortex Reply, we’ve been working on an innovative solution that leverages Generative AI (GenAI) to transform this process, reducing costs and saving valuable time without compromising quality. Here's how we’re making it happen and how we can help your business do the same.
The Problem: Manual Quality Reviews are Time-Consuming
ServiceNow tickets often must be checked against company policies, SLA compliance, and service guidelines. Typically, this involves assigning teams to review requests manually, flag discrepancies, and ensure the process aligns with organisational goals.
This manual approach comes with challenges. First (High costs), the costs associated with maintaining skilled personnel for this task can quickly add up, especially as the volume of requests and tickets grows. Second (Inefficiency), the time spent on these reviews often detracts from other critical priorities, creating inefficiencies in resource allocation. Finally (Inconsistency), even with well-trained human reviewers, the inherent subjectivity of manual assessments can lead to inconsistencies, resulting in errors or missed opportunities to improve service quality.
The Solution: Leveraging GenAI for Quality Assurance
Generative AI is revolutionising how businesses operate, and its applications extend far beyond content generation. By utilising a large language model to understand specific business guidelines and quality standards, we’ve developed a tailored solution that seamlessly integrates Generative AI with the ServiceNow system, creating a robust framework for automated quality reviews.
Here’s how it works: whenever a user submits a request through the ServiceNow platform, the data associated with that request is automatically sent to our GenAI-powered application. The application is designed to ensure compliance with company-specific guidelines, which an admin user pre-sets. These guidelines are stored and dynamically fetched during the review process, serving as part of the prompt that directs the Generative AI model. There is also a JSON out parser defined in the chain, so we can control the output and handle it in a structured and determined way.
Using this setup, the Large Language Model (LLM) will evaluate the request against the predefined guidelines. The AI doesn’t just flag potential issues; it also provides detailed comments and feedback directly to the user. For example, if a request is missing critical information, the model might suggest the exact fields to be filled or explain why the request doesn’t meet the required standards. This interaction happens in real time, enabling users to correct and resubmit their requests without unnecessary delays.
Additionally, the integration ensures that the system is practical and user-friendly. Admin users can easily update or modify the guidelines as business needs evolve, ensuring that the model remains aligned with organizational objectives. The flexibility of this system allows for rapid adaptation to changes in policy, workflow adjustments, or new compliance requirements.
Our solution also benefits from the scalability inherent to GenAI. Whether your organisation processes hundreds or thousands of ServiceNow requests daily, the application can handle the workload seamlessly, ensuring consistent performance regardless of volume. The AI’s natural language processing capabilities allow it to understand complex request descriptions and assess them accurately, making the solution suitable for a wide range of industries and use cases.
By integrating directly with ServiceNow and utilising pre-set guidelines as part of the AI prompts, our solution bridges the gap between automation and personalised feedback. It empowers organisations to enhance the quality of service requests while maintaining a human-centric approach, ensuring that end-users feel supported rather than scrutinised.
The Impact: Saving Time, Reducing Costs, Driving Results
By automating quality assurance for ServiceNow requests and tickets, businesses can achieve:
- Cost savings: Reduce dependency on large review teams.
- Faster resolution times: Identify and address issues quickly.
- Enhanced focus: Allow IT teams to prioritise critical tasks instead of routine checks.
How We Can Help You
At Cortex Reply, we specialise in building tailored GenAI solutions that address real-world business challenges. Whether you're looking for AI enablement or implementing AI-driven solutions in other areas of your organisation, we’re here to help.
Our team combines AI development and Cloud engineering expertise with a deep understanding of business needs, ensuring our solutions are practical, scalable, and impactful.
Contact us today if you're interested in learning how Generative AI can revolutionise your business. Let’s discuss how we can help you streamline your processes and achieve better results.
