IT Support Tickets are DEAD. What’s next?

IT Support Tickets are DEAD. What’s next?

In 2018, I was on the marketing team for Freshservice, the ITSM platform from Freshworks.

One of the core problems that we were solving for IT organizations was ITSM technology adoption – especially, self-service adoption – with end users.


Why is tech adoption an important problem for IT to solve?

Because if most employees are still calling IT agents as opposed to raising tickets (numerous studies show that they are), the support team is busy firefighting rather than automating workflows using the technology.

This unplanned work is a productivity termite, nibbling away at agents’ time and bandwidth.

Scaling in this scenario means hiring more support agents, which is highly linear and expensive. Plus, it becomes inefficient as the organization grows.

The only way to solve this is to get adoption up again. Even a $10 million technology with advanced automation capabilities is practically worthless if the adoption is low.

If you’re an IT leader or senior manager, you know the pain of a tool that employees are not interested in using.

It’s killing your strategic time, budget, and efficiency.


How to solve the adoption problem?

To tackle scale, IT organizations moved from call centers to the support portal. But portals were, and are, an archaic way of contacting support.

IT teams are now using email as a stand-in for the portal, which means that the knowledge base that your team created so meticulously is collecting dust.

Plus, emails are still converted to tickets. The end user and the IT agent need to engage in back and forth emailing to work on the ticket.

In this 5-year-old Freshservice video, I suggested a few ways to drive adoption.

The main ones were:

  • Bring your portal to where users already are – Your organization uses Slack etc. for internal communication and collaboration. Leverage this by providing support within the chat platform.
  • Use chatbots that tap into your knowledge base – Building up on the previous point, your knowledge base can be baked into the platform to provide fast resolution for trivial issues.


Five years later, these points are still valid. But what I said back then was limited by the technology that was available at that time.


What’s changed in the last 5 years?

Let’s focus on the two massive tectonic shifts that have impacted the way we work.

1. Tools like Microsoft Teams and Slack have become ubiquitous

Microsoft Teams joined Slack and surpassed it in terms of usage, particularly among enterprises, thanks to the Microsoft 365 integration. Slack is still popular in startups and mid-market companies.

Email, as a channel for intra-company communication, is dead. Employees email vendors and contacts outside of the organization but typically “Slack” their colleagues.

IT support seems to be stuck in the email era, which is perceived as slow. So, employees just pick up the phone, or worse, walk over to IT. More unplanned work.


2. ChatGPT (and GenAI) has become a core part of how we work

Chatbots are a necessary evil. They need to be manually programmed and are limited in range. They’re not great at employee experience either, unless an agent jumps in within minutes. Which explains why they didn’t catch on.

The popularity of ChatGPT has made non-AI bots feel frustrating. Employees are already using tools like ChatGPT to be more efficient at work. IT orgs will soon leverage secure GenAI solutions for employee support.


The service desk of tomorrow will live at the intersection of #1 and #2.

It will learn, not only from the KB, but from past conversations and employee/company context. And it will be conversational and personalized since it would remember the context of every employee. Unlike people, it won't get tired or frustrated and it won't assume things since it can check the latest version of the doc before responding.

I could go on and on about the benefits. Suffice it to say that this shift might happen sooner or later, but it's inevitable.


What can you do as the IT leader?

Let's address the drunk elephant in the room. The security risk of LLMs is real.

Nearly all of your employees have used ChatGPT for their personal use. A good chunk of them have used it for work without your knowledge.

In April this year, software engineers at Samsung pasted confidential code into ChatGPT to test it for bugs. Of course, the bot happily used it as training data for future public responses.

There are multiple other incidents where unsuspecting employees inadvertently leaked company IP to AI platforms.

This might sound counter-intuitive, but the solution is the exact opposite of pushing back on it.

As an IT leader, you need to:

1. Be the enabler – If you block all AI tools and domains that end in .ai, employees will profile you as the ‘no’ team and sneak around security protocol. They will use the technology that helps them get work done faster and “ask for forgiveness, rather than permission”.

Work with the business to understand what they’re using AI for. If you have a dedicated AI team/resource within IT, see how they can solve major business problems. Openly seek requirements from leaders across business functions and help them procure the right solution if building it in-house is not an option.

2. Be the educator –?Winning the trust of the employees is better than the alternative red-button approach. But giving them a free hand is obviously not an option.

Conduct training sessions on the risks involved in unauthorized AI adoption and share precedents to help them understand the potential impact. At the same time, share general details about any internal AI initiatives and let them access a high-level roadmap. Appointing an AI SPOC within the team will give employees a channel to share feedback. This will also help you keep an ear to the ground and build fit-for-purpose solutions.


The service desk of the future would be based on GenAI and live within Slack or Teams or whatever your employees use to ask their colleague a “quick question”.?

The only difference is that the know-it-all colleague will now be a GenAI bot that IT manages.

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