As an IT decision-maker, you are no doubt aware of the challenges that come with end-user support automation. Clunky tools, disjointed solutions, and a high number of IT issues to be resolved can make it difficult to keep up with the demands of your business.

But what if there was a better way? What if there was a solution that could help you overcome these challenges and achieve the productivity and efficiency you need to stay competitive in today’s fast-paced business environment?

We’re excited to announce our new whitepaper, “Challenges and Best Practices in End-User Support Automation,” by CIO.com where we explore many benefits of using AI and machine learning in this area. From improved recovery processes and lower human error to increased productivity and reduced system downtime, the advantages of this cutting-edge technology are clear.

In this whitepaper, you’ll learn

1. The challenges of end-user support automation and why traditional tools and solutions often fall short.
2. The many benefits of using AI and machine learning in end-user support automation and how it can help your organization.
3. Best practices for implementing AI and machine learning in end-user support automation
4. Case studies from companies like Birla Soft and CMSIT that have already seen, success with this technology

You will learn how Anakage no-code, low-code platform can configure cobots to monitor actionable system parameters and proactively resolve issues before end users notice. Meanwhile, reporting and analytics – easily accessed from the web portal, chat apps, and offline desktop apps – help IT help desk engineers proactively respond to issues that can’t be automatically resolved by cobots.

Use Cobots to –

1. reduce up to 50% of end-user tickets
2. improve endpoint compliance
3. reduce up to 75% of on-boarding time
4. help end users digitally adopt applications

Find out how –

1. A German appliance manufacturer cut training time from two months to two weeks — a 75% reduction.
2. A Japanese media software client was able to reduce requests and wait time by automating 71% of software install requests with Anakage Cobots
3. A large Indian company collected in-time IT surveys on ticket closure after proactively solving issues in an environment where PowerShell was restricted
4. A large MSP in less than three months after deployment reduced the time and efforts of service desk engineers on around 1,000 incidents per month

Read complete whitepaper here