Enhancing a logistic company’s supply chain resilience with Chaos Engineering
Transforming Service Delivery with AI-Powered ITSM
Qinfinite empowers businesses to evolve their IT operations through a highly customizable, scalable architecture—automating complex ITSM functions like incident, change, and problem management with advanced AI agents.
Drive Operational Excellence AI-Driven ITSM Capabilities
The rapidly evolving landscape of IT Service Management (ITSM) demands increased efficiency, proactive service delivery, and enhanced user experiences. Traditional ITSM models are proving inadequate for modern needs. This is where Qinfinite, an AI-powered platform empowers businesses to optimize IT operations, seamlessly integrates across on-premises, multi-cloud, and hybrid infrastructures to address these challenges and deliver consistently high-quality service across the enterprise.
Read moreQinfinite ITSM: What Sets Us Apart
Qinfinite ITSM tools go beyond traditional service management by integrating advanced AI technologies, providing comprehensive insights, and automating routine tasks.
Seamlessly connecting ITSM tools and CMDBs to unify data within the Knowledge Graph, comprehensive visibility and management across different IT service management processes.
Elevates IT Service Management (ITSM) with advanced Generative AI capabilities leveraging QinOpsLLM - Qinfinite’s Own Large Language Model and external LLM plugins.
Whether it's integrating with ITSM systems or automating complex workflows, the agents are designed to extend their capabilities without compromising the integrity or security of the ecosystem.
Employs deep data analysis and cluster analysis with NLP algorithms to identify trends, patterns, and recurring issues in ITSM tickets.
Utilizes continuous monitoring mechanisms to oversee adherence to Service Level Agreements, automatically triggering alerts and escalations to manage service quality proactively.
Provides a holistic view of both business and IT operations through a single interface, enhancing real-time decision-making and operational efficiencies.
Employs proprietary algorithms for non-invasive discovery of IT assets, mapping out dependencies and relationships to form a comprehensive, real-time view of an enterprise’s IT landscape.
Qinfinite ITSM: What Sets Us Apart
Qinfinite ITSM tools go beyond traditional service management by integrating advanced AI technologies, providing comprehensive insights, and automating routine tasks.
Unlike static workflows or scripted automation, Qinfinite uses a modular AI Agent framework paired with a dynamic Automation Engine. Each AI Agent specializes in a domain (e.g., triage, RCA, remediation), collaborates contextually, and triggers autonomous workflows.
Qinfinite deeply integrates with collaboration platforms like Microsoft Teams and Slack. Beyond chatbots, users can raise, triage, and resolve tickets, trigger automations, and access real-time support—all within the chat interface.
Qinfinite auto-discovers infrastructure, apps, users, and dependencies to build a real-time Knowledge Graph. This powers contextual GenAI responses using Retrieval-Augmented Generation (RAG) for high-precision knowledge delivery.
Qinfinite uniquely integrates Chaos Engineering into ITSM. It simulates outages, validates automation flows, and predicts change risks before they hit production—enabling proactive problem and change management.
Qinfinite links technical incidents and operations to business KPIs and outcomes—providing insights that elevate ITSM from a backend function to a business enabler.
Utilizes continuous monitoring mechanisms to oversee adherence to Service Level Agreements, automatically triggering alerts and escalations to manage service quality proactively.
Seamlessly connecting ITSM tools and CMDBs to unify data within the Knowledge Graph, comprehensive visibility and management across different IT service management processes.
Elevate Your IT Service Management with Qinfinite’s Agentic AI ITSM
The Qinfinite Agentic Architecture represents the core framework for automating IT operations using a broad spectrum of AI Agents. The architecture’s strength lies in its seamless integration of AI-powered automation with a robust DataOps infrastructure and cutting-edge language models.
Qinfinite’s Agents for ITSM are broadly classified into four categories:
- Conversational & Inquiry Handling Agents
- Ticket Triage & Classification Agents
- Root Cause & Diagnostic Agents
- Change & Impact Analysis, Knowledge Lifecycle Management Agents
Built for Every ITSM Stakeholder
Qinfinite supports every ITSM need—whether you’re scaling DevOps, engineering resilience, or modernizing service operations.
Persona |
Focus |
How Can Qinfinite Help You |
| DevOps Product Team Members | Building and shipping great software, faster |
|
| Platform Enablers | Driving scalability and consistency across delivery teams |
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| Service Value Champions | Aligning service ops with business impact |
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| Value-Driven ITSM Leaders | Reducing cost, improving efficiency through automation |
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| Traditional ITSM Leaders | Ensuring stability, governance, and centralized control |
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- Conversational & Inquiry Handling Agents
- Ticket Triage & Classification Agents
- Root Cause & Diagnostic Agents
- Change & Impact Analysis, Knowledge Lifecycle Management Agents
Market Recognition & Validation
Analyst Recognitions
Gartner
Forrester
ISG
Gartner
1. Qinfinite Recognized for Chaos Engineering
Hype Cycle for-
- -Platform Engineering, 2024
- -Infrastructure Platforms, 2024
- -Site Reliability Engineering, 2024
- -I&O Automation, 2024
- -Monitoring and Observability, 2024
- -Agile and DevOps, 2024
2. Mentioned in Market Guide for Chaos Engineering Tools 2023
3. Emerging Tech Impact Radar for Chaos Engineering- Cloud-Native Platforms, 2025
Forrester
1. Featured among the Top 25 vendors in the Report “The AIOps Platforms Landscape” Q4 2024
2. Featured in the Trend Report – “Drive IT Excellence With AIOps“
ISG
- Rated as a “Rising Star” across three quadrants – Agile App Dev Projects, AMS & App Quality Assurance in US Region in the ISG Next-Gen ADM IPL 2024
- “Qinfinite is an AI-powered platform for unified IT operations” – ISG Briefing Note on Qifinite BizOps 2023
Case Studies
Discover how Qinfinite empowers organizations to optimize, modernize, and innovate with accelerated business outcomes.
Related Insights
Learn how our solutions have accelerated our client’s journey towards becoming an intelligent enterprise.
Blogs
Qinfinite
A Perspective on AI-Driven ITSM: What Vendors Often Miss (And Users Need Most)
Discover why most AI-driven ITSM projects stall and learn how Qinfinite blends intelligent automation with human engagement to ensure lasting adoption.
Read more
Blogs
Qinfinite
From L1 Support to AI Strategist: Enabling AI-Driven Career Paths in ITSM with Qinfinite
Unlock AI’s true potential with Qinfinite, foster a culture of growth, upskill your workforce, and drive adoption for a future-ready enterprise.
Read moreFrequently Asked Questions (FAQs)
Why is software testing and QA important in insurance?
Software testing and QA are vital to ensure the reliability and security of systems handling sensitive customer data.They prevent costly errors, enhance user experiences, and maintain regulatory compliance.
Are there any challenges in implementing intelligent automation in insurance?
Insurance company faces challenges like legacy systems, data integration, and employee resistance. Overcoming these hurdles involves comprehensive planning, change management, and retraining.
How will automation impact insurance?
Automation promises efficiency gains in underwriting, claims processing, and customer service, enabling insurers to lower costs, improve accuracy, and offer more competitive rates.
How does testing enhance customer data security in the insurance sector?
Testing strengthens customer data security by identifying vulnerabilities, ensuring compliance with regulations, and safeguarding against cyber threats, bolstering trust
Are there specialized tools for software testing in the insurance sector?
Yes and these specialized testing tools streamline quality assurance, from policy validation to claims processing, ensuring accuracy and compliance.
What benefits do cloud-native applications bring to insurance companies?
Scalability, flexibility, and cost-efficiency. They allow for rapid innovation, easy data access, and seamless collaboration, enhancing overall operational efficiency.
Can data modernization improve underwriting in insurance?
Data modernization provides insurance companies with better insights into risk assessment, resulting in more accurate pricing and reduced losses.
What are the main challenges in migrating legacy insurance systems to modern applications?
Migrating legacy insurance systems to modern applications can be challenging due to data migration, integration issues, and ensuring compliance with industry regulations. It requires careful planning and execution.
What are the current CX trends in the insurance industry?
Current CX Trends include Personalized customer experiences, digital self-service options, AI-driven chatbots for customer support, and data analytics to better understand customer needs and behaviors.
How is digital transformation changing customer interactions with insurance companies?
Digital transformation is revolutionizing customer interactions with insurers through AI chatbots, online policy management, and mobile apps, offering convenience and efficiency.
Is data security a concern with cloud implementation in insurance?
Yes, data security is a significant concern in cloud implementation. It’s crucial to ensure robust encryption, access controls, and compliance with regulations to protect sensitive information.
What are some major challenges in the insurance industry?
Major challenges are increasing cyber threats, evolving regulations, competition, and complex underwriting processes. Adapting to changing customer expectations is also a significant challenge.
How to choose the right insurance provider for my digital transformation journey?
To choose the right insurance provider for your business, consider factors like coverage options, financial stability, customer service, and pricing, aligning with your specific needs.
Should insurers integrate with insurtech platforms?
Insurers can benefit from integrating with insurtech platforms to enhance customer experiences, streamline processes, and access advanced data analytics for better decision-making.
How can insurance companies benefit from API integration?
Fosters connectivity, improving data exchange with partners, and enhancing adaptability to market changes.
Can API integration be used for real-time quotes and policy issuance?
Yes, API integration allows for quick access to external data sources and facilitates real-time interactions with customers, improving service efficiency and customer satisfaction.
How can a system integrator help insurance companies with legacy systems?
System integrators help insurance companies by modernizing legacy systems, improving data flow, and reducing operational costs.
What strategies are insurers using to future-proof their applications?
Insurers future-proof applications by embracing microservices, cloud technologies, and modular architectures, allowing for flexibility and scalability
What are the costs associated with application maintenance in insurance?
Application maintenance costs in insurance encompass software updates, security enhancements, and performance optimization, ensuring systems remain robust and efficient.
What are the benefits of using insurtech solutions?
Insurtech solutions offer benefits such as personalized policies, quicker claims processing, and improved customer engagement, driving industry innovation
What are common risks covered by tech insurance policies?
Tech insurance policies commonly cover risks such as data breaches, cyberattacks, intellectual property disputes, and technology errors, providing comprehensive protection.
How is Insurtech Better than Traditional Insurance?
Insurtech is superior to traditional insurance due to faster, personalized services, greater transparency, and innovative products tailored to evolving customer needs
What is the role of insurance technology in enhancing CX?
Technology plays a vital role in CX enhancement in insurance by enabling digital platforms, predictive analytics for risk assessment, and mobile apps for policy management, making interactions more convenient and efficient.
What are some emerging trends in insurtech?
IoT-enabled policies, blockchain-based claims processing, and AI-driven underwriting, all designed to streamline operations and improve customer engagement.
Case Studies
Our client stories highlight how our software testing solutions have improved the quality of products and services. See how we have collaborated with our clients to make a significant difference with our automated testing solutions.
Qinfinite
How Qinfinite’s AI-powered ITSM Capabilities Reduced MTTR and Increased Cost Efficiency for a Leading UK Bank
Discover how Qinfinite’s AI-powered ITSM solution helped a top UK bank reduce MTTR, double ticket volume handling, and improve cost efficiency—without changing tools like Jira or Slack
Read more
Qinfinite
How Qinfinite’s Hire-to-Retire Process Automation Helped a Leading UK Bank Achieve 80% Reduction in MTTR
Discover how Qinfinite’s AI-powered ITSM solution helped a top UK bank reduce MTTR, double ticket volume handling, and improve cost efficiency—without changing tools like Jira or Slack
Read more
Qinfinite
How Qinfinite AI in ITSM Helped a UK-based Neo Bank Automate and Streamline Its IT Service Desk Operations Service
Discover how Qinfinite’s AI-powered ITSM solution helped a top UK bank reduce MTTR, double ticket volume handling, and improve cost efficiency—without changing tools like Jira or Slack
Read more
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