AI in ITSM: Unlock Value & Transform IT Support Now

It is no secret that meeting customer expectations hinges upon the ability of organizations to streamline IT operations and deliver IT service requests for their employees on time. Just as customer satisfaction is important for organizations, employee satisfaction is equally significant to fulfilling organizational technology requirements. So, every IT service request that employees have must be resolved at scale, necessitating the ITSM implementation to handle IT services and deliver business outcomes.

Most organizations, however, have ITSM tools with a legacy approach and work in a silo. What it means is that manual intervention is significantly high with this type of framework, while data analytics is scarce.

What today’s ITSM needs is a data-driven approach to optimize ITSM applications and drive maximum benefits. An AISM,Artificial Intelligence service management, or AI in ITSM is a solution for CIOs or business leaders to facilitate employee experience and operational resilience while delivering higher success rates with IT service transformation.

Our article explores why IT leaders need AI-driven ITSM in today’s highly technology-driven ecosystem and why it's better than your legacy model.

With AI-powered capabilities integrated into ITSM, service desks can transform their ways of facilitating employee support. AI in ITSM not only automates mundane workflows but unlocks ways to humanize employee support, fostering more responsive, flexible, and intuitive employee support.

Surprisingly, with the rise of AI, especially the boom of GPT or Generative AI tools, ITSM aims to bring a seismic shift to how IT leaders manage service desk processes. AI in ITSM layered with GPT or LLMs makes it easy to facilitate faster, cheaper, and better problem resolutions for employees.

In this blog, let’s discover how AISM unlocks significant values for ITSM.

ITSM, or IT Service Management, is a comprehensive guideline for managing IT services. In essence, ITSM provides an effective approach to optimizing IT services for employee or customer support.

ITSM is critical for your service desk for end-to-end management of IT services in your business. ITSM is critical for our business because

• ITSM helps organize processes to keep tools in proper working order, enabling employees to do their best work at all times.

• ITSM provides better strategies to resolve problems related to IT services and HR services.

• ITSM enables service desks or IT help desks to prepare better to respond to and resolve problems steadily and reduce downtime.

• ITSM aims to improve end-to-end IT service delivery and meet SLAs.

Many organizations still use legacy ITSM suites. These ITSM tools are rigid, unscalable, and inefficient. Here are why traditional ITSM needs to embrace AISM.

• Erroneous solutions

Yes, working across repetitive and mundane types of help requests, such as password resets, account unlocks, or user provisions, and many such common issues can feel overwhelming and cause troubleshooting mistakes, prolonging the time to resolve an issue and building a backlog.

• Lack of scalability

Most legacy ITSM systems exhibit scalability issues, meaning that when the volumes of request tickets go up, agents need help managing user requests. This causes user dissatisfaction while not giving agents enough time to focus on critical issues.

• Repetitive or reactive

Service or help desk issues that are solved can resurface again as legacy ITSM systems follow a break-fix approach, in which the objective is to address the downtime on an emergency basis, restore operational efficiency, and never look at the root cause of the problem.

• Agents tend to devote the same effort to the same problem repeatedly.

• Overutilization of agents shoots up the cost of resources and ITSM budget.

• Employee productivity losses occur due to the frequent recurrences of the same issues.

• High costs

Legacy or traditional ITSM systems do not provide access to advanced analytics or reporting, limiting the ability to analyze the pattern of everyday issues and develop long-term robust solutions to mitigate the frequency of repetitive service desk issues. This adds up to high ITSM costs.

With AI ITSM, IT leaders are more empowered to tap into more values by gaining access to tools such as

• AI and automation

• machine learning, NLP, NLU

• LLMs or generative AI

• Chatbots and more

In addition, it is essential to focus on AIOps, or artificial intelligence operations platforms, designed tofacilitate every kind of primary IT operation based on their ability to be trained with a massive volume of IT data.

The business outcomes are quite significant as it becomes easier for employees to streamline manual operations through automation and free time to handle more critical IT issues for AIOps in ITSM.

That’s why the AIOps market is expected to grow to $19.93 billion by 2028.

This indicates that AI has immense business value in ITSM. There are multiple ways to unlock value in artificial intelligence service management.

Streamlining repetitive tasks of the common IT issues

The goal of traditional and modern ITSM is always the same : to reduce the time it takes to respond to IT issues and keep IT operations running. However, as workflows compound and grow in complexity, traditional ITSM becomes inefficient due to its reactive approach.

Fortunately, artificial intelligence in ITSM enables IT support to work faster and more efficiently with a proactive approach through automation. So many service desk tasks can be automated through a pre-defined chatbot dialog flow.

• Reset password

• User provision

• Asset provision

• Unlock account, etc.

Self-service chatbots for auto-resolutions of problems

One great way to augment the capability of your modern ITSM tool is to gather as much data as possible (for example, existing IT support issues, history of IT tickets, etc.) to train your machine learning models. These models expand the capacity of your chatbots and help you resolve issues more efficiently.

• Say a printer issue is quite common in your workplace, and employees inadvertently waste a lot of time to solve this issue. By feeding your ITSM chatbot with knowledge base articles or FAQ-based queries, you can improve search results with AI and bring the most relevant resource that works for the specific printer issue to the surface. Also, AI makes it fast and easy to enable agent handover when the existing resources get exhaustive.

• To make self-help widely accessible, you can create an ITSM chatbot to pull your knowledge base articles or FAQ-based questionnaires directly to business comms channels such as Teams or Slack. Workativ's virtual assistant can seamlessly integrate with your ITSM infrastructure, simplify ITSM communications for your teams, and help IT support reduce about 80% of repetitive tasks.

Rapid enhancement of knowledge bases

For an ITSM to work consistently, its success depends on robust knowledge-base resources. With the inherent ability to generate innovative content using user prompts, it has some exciting use cases on the ITSM knowledge management side.

Knowledge base improvement with generative AI

Artificial intelligence service management is ahead of traditional ITSM, keeping knowledge base articles current per the ITIL-4 framework. The best part is subject matter experts no longer need to spend hours strategizing and creating knowledge base articles for IT support teams. The built-in editor inside an ITSM framework, if powered by LLMs or generative AI, augments content creation using related input prompts.

To enable ITSM users to create knowledge content at scale,Workativuses LLMs or generative AI for its no-code chatbot builder, simplifying content creation for knowledge base articles and improving knowledge search through intent extraction.

Knowledge management with data specific to current ITSM scenarios

AI in ITSM helps harness data using deep analytics and algorithms, helping SMEs remove dated content and replace knowledge base articles with resources specific to the current ITSM situations. For example, you can check through ticket history and session analytics to know which area needs improvement and prepare the resources based on the critical issues.

Content management through automated approval

Generative AI’s suggestions for knowledge base articles could be biased and misinformative. This asks for a comprehensive review of the documents before they surface in the live environment in your ITSM infrastructure. Creating document management workflows for your ITSM chatbot makes it easier for your team to automate document approval. The process helps you save time and accelerate content publication methods.

Improving employee productivity and engagement

AI for ITSM provides more flexibility and convenience for employees, helps them work faster, and be experts at ticket handling processes. Here’s how employees can boost their capacity and optimize AI ITSM to maximize the organization's benefits.

Scale up service request management.

It is normal to face IT issues in a typical IT infrastructure, which tends to create productivity drains and friction. These issues can encompass ongoing and regular IT service issues.

• New printer provisioning

• Password resets

• Unlock accounts

Self-service opportunities ease the complexity while giving individuals enough flexibility to handle issues using knowledge-base workflows. Using thedrag-and-drop interface of a no-code chatbot platform like Workativ, you can create your workflows and allow your employees to be productive and engaged.

The workflows for service request management can be used to improve IT asset management and SLA maintenance. With automated workflows created with predictive analytics, Workativ allows you to adopt a holistic approach by leveraging dynamic alerting to notify you beforehand so proper action can be taken without disrupting services.

Real-time incident management

Any unexpected incident can be detrimental to user productivity. Some most familiar incidents for ITSM are,

• Website down

• Sharepoint malfunction

• Network issues

• Disruption in IT assets or services

The AI advantage for your ITSM is that you can use automated ticket triage functionality. As tickets for incidents come up, machine learning and NLU analyze the importance of the incident, categorize them based on priority, and assign them to the right expert for process efficiency and accuracy.

This inbuilt capability within the modern ITSM infrastructure makes it a little tricky for users to escalate the tickets when they work offsite. The process needs logins, and fetching real-time credentials from a remote location can be challenging.

Creating app workflow automation using ITSM chatbot integrationsseamlessly reduces employee friction yet allows automated ticket triage through Slack or Teams. Workativ’s agent handover feature augments your user experience and helps improve ITSM adoption.

Implement successful change management.

One big critical objective of IT service management is to promote the employee side of change management. Organizations across the globe are aiming to introduce digital transformation at their workplaces. According to Statistica, the projected cost of digital transformation will reach $2.8 trillion by 2025.

But, any change is only effective if employees can adapt to it. AI in ITSM helps change leaders harness data about IT issues and employees to offer insights that help develop strategies for better change management.

To make change management more convenient for employees, AISM can provide excellent employee support through chatbot workflows.

Workativ allows you to seamlessly build your automated workflows for chatbots that improve employee support through real-time employee training materials and FAQs.

ITSM performance improvement with analytics

Unlike traditional ITSM, driving organization-wide operational efficiency with ITSM AI is relatively easy. ITSM platforms can allow you to derive information about the following matters

• Which tickets are difficult to handle

• How many times does a similar ticket recur

• Is there any gap in knowledge resources

By harnessing data about these critical ITSM issues, you can maintain proper IT health and ensure operational resilience at its best.

For stakeholders, automated app workflows in chatbots for ITSM are the simplest way to gather data and build a holistic view across ITSM health to continuously improve IT service delivery and employee experience.

Workativ removes the need for stakeholders to navigate through dashboards. Instead, it offers the easiest way to monitor ITSM performance through a single pane of glass by taking a quick look at the bot summary.

AISM infrastructure is envisioned to drive amazing business outcomes. They are as follows:

Improved FCR

For IT agents, first-call resolution is laborious and nerve-wracking because it is repetitive and monotonous. AISM chatbots are effective in reducing the dependency on agents while solving the L1 loads at scale. Automated FAQ-based answers coupled with a self-service chatbot augment the resolution rate of repetitive questions and reduce the escalation to L1.

Higher customer satisfaction

ITSM AI increases agent productivity by enabling end-to-end IT service delivery. Organizations can drive customer advocacy, facilitate long-term vendor-customer relationships, and enjoy long customer retention prospects.

Cost efficiency and better ROI

AISM helps organizations optimize chatbots for every touch point of ITSM areas. With proper optimization of chatbots, companies can enjoy declining ticket volumes, less agent involvement, and more productivity.

With omnichannel interaction across multiple devices, the ticket lifecycle is easily short-lived and sees accelerated resolution. It reduces operational costs and ensures a better return on investment.

With users preferring to apply Generative AI or large language models across a wide variety of use cases in pursuit of deriving the maximum benefits from ITSM platforms, it is significant that they focus on the ethical implications of Generative AI.

When Generative AI serves users with service desk or ITSM activities through a chat, organizations must restrict security threats, bias, or unexplainability.

Making Generative AI secure and ethically sound should ensure that your team has robust supervision to ensure that data is clean. It further means training data does not relate to any context to cause concerns and help,

• Prevent bias to communities, populations, or genders.

• Eliminate exposure to personal information, such as personally identifiable information. Information, financial details, or confidential company data.

• Offer proper explainablity to queries asked.

When you have the above strategy, you can better apply data to training your service desk use cases using knowledge bases and offer outstanding services to your internal and external users.

Artificial intelligence is expanding fast, offering business leaders a huge opportunity to apply it to their operational workflows and gain a competitive edge.

It won’t be wrong to say that AI has evolved into Generative AI or large language models demonstrating a massive human language capability to solve ITSM problems for business leaders.

Among many business functions, ITSM can draw significant advantages from GenAI and redefine its current workflows to enable its users to become resilient and empowered to handle issues faster and offer an elevated customer experience.

There are risks with Generative AI. But anything that demonstrates massive potential cannot improve unless it is tried and tested, which gives businesses an opportunity to apply improvements and produce a better version.

AI has so much promise to evolve and bring applications that improve how ITSM works. Instead of ignoring AISM's capabilities, leaders must embrace AI innovations and apply them for overall business transformation.

Are you keen to unlock AI in ITSM? Workativ offers the right platform that unleashes massive benefits for your ITSM success. Connect with us for a demo today.

AI in ITSM is a game changer to facilitate operational efficiency and business resilience for enterprises and SMBs.

AI today is not just a nice-to-have but a must-have phenomenon, owing to its massive capability to transform how enterprises implement ITSM strategy and drive ITSM success.

Workativ makes it easy for enterprise leaders to drive massive ITSM AI adoption by enabling employees to adapt to conversational AI platforms seamlessly. Not only does Workativ quash the myth that ITSM implementation is tough, but it also enables successful ITSM deployment and user preference at scale.

Are you keen to unlock AI in ITSM? Workativ offers the right platform that unleashes massive benefits for your ITSM success. Connect with us for a demo today.