Paul Jenkins
Analyst · National Bank Financial
Thanks, Steve. Good morning, everyone. Before I get started, I'd like to thank Mark Barrenechea for his 13 years of dedicated service to our company. His leadership scaled and developed our company as a leader in enterprise information management. And Steve, a very warm welcome to you, and welcome to Open Text. You've only been here for a month, but I appreciate having you here on the call today. Since we made our announcement on August 11, we've met with hundreds of shareholders and analysts and investors. And it's been great for me to renew all the acquaintances. And I thank all of you who said that I haven't aged a day since the last time you saw me, I wish that was true. This has allowed us an opportunity to communicate to you a simpler strategy for the company to unlock the value that Open Text has. We're going to concentrate on our core business units and enterprise information management and specifically those that provide the training for the new area around enterprise artificial intelligence. You'll hear us use the term at agentic AI as well and more on that in a minute. After all, it makes sense for us because Open Text is one of the biggest -- we think it's the biggest, but it's certainly one of the biggest corporate data and metadata vendors in the world with hundreds of connectors to legacy and current data sets. That's a powerful asset inside Open Text for AI, and we plan to unlock it. We'll do this first, though, by selling off all our noncore business units and using those proceeds to further create shareholder value. And that's really our end goal. And so in a way, what is old is new again, we're going back to our historical roots of being a content management company, except this time, we have additional products in business networks and machine management, wrapped in an enterprise-class security layer. That will be our core business. We already have the global scale, the go-to-market sales force, the product line in these businesses and the core of our core, which is the Content Management business, is also our largest business unit at about 40% of our total revenue. And it also happens to be the fastest growing with, on average, more than 20%. Cloud growth over the past few years. So it was a pretty obvious strategic decision by the Board to take these actions. We now have the entire company from the Board, the exec management team to our 20,000-plus strong global workforce aligned and locked into achieving our FY '26 objectives and beyond. We're going to stick to our plan. There are early signs that we may be even going faster towards the cloud as the year goes on. And as we shed the noncore units, our Cloud Content business will be soon the dominant share of all of our revenue sources. That's our goal. We'll keep reporting our business unit breakout as we go through this journey so that you can track right along with us our progress towards that goal. So speaking of progress, if you take our August 11 release and some of the short-term priorities that we said we would address. I'm pleased to report we've addressed almost all of them. We've had a very busy 90 days and the next 90 days will be just as busy. As I mentioned, we started by providing additional transparency with all of the revenue breakout performance for our business units. We did this in early September so that you could track along with us on our progress. That's where you saw the strength of the Cloud growth. In fact, last year, Content Cloud grew 17%. And this quarter, it grew 21% year-over-year, and that's the acceleration I was referring to. So clearly, our Content Management customers are moving even faster to the cloud, and this will start to change our revenue mix slightly in our plan, but it's an indication that we're moving faster to becoming a fully cloud-centric company. Now of course, we appointed Steve Rai as our permanent CFO. And he, of course, has a solid background in financial and operational reporting. And even more so, with his background at BlackBerry, he has a lot of experience in portfolio shaping. So we welcome that wisdom to the management team. This was followed by our first announcement of a noncore business unit sale within the analytics business, as has already been mentioned. It's an on-premise piece of software. So that will help the pivot towards cloud even further as we shed the noncore units. We also talked about the refreshment of the Board. And recently, we appointed a new Board member, George Schindler. He's the former CEO of global IT consulting giant, CGI. He's a fantastic addition to the Board, brings valuable perspective and now includes other members that we've announced in the past year, such as the senior partner in technology and telecom from Accenture, the Chief Human Resources Officer of Hewlett Packard, the CIO of Cisco, among just the new members that we've announced in the past year. So we're quickly retooling everything at Open Text. Yesterday, we published our Q1 fiscal '26 results that demonstrates the resilience of the business and the continued demand for Content Cloud and AI. We're focused on the right market at the right time. It leaves us with one major priority remaining, which is to find a permanent CEO. Their search is ongoing, both internal and external candidates, and I'm pleased to note that we have had many world-class candidates step up and put the hat in the ring for consideration by our search committee. Our goal is to find a leader whose solutions focused and to help us elevate to the next phase of Open Text's journey. In the meantime, I'd like to thank James for stepping in as Interim CEO. He's been a steady hand leading the operations of the company and to Cosmin for leading the financial group. As you can see from the results, they've both done a great job stepping up on short notice. Open Text is on a solid financial and operational foundation of growing long-term margin and free cash flow. And we're committed to unlocking shareholder value through our capital allocation strategy, which will include reducing debt, paying a dividend, share buybacks and tuck-in M&A. And with all of this, we're committed to providing investors with clear, simple, transparent metrics so you can better understand our business and performance and follow along with us on this journey. Let's turn to our strategy now and how Open Text plays an important role for our customers in agentic AI. We provided some slides. And obviously, we're also going to speak at our user conference and Analyst Day next week, as James had mentioned. So a lot more detail to come, but we thought we'd give you an overview of what you'll be seeing next week. And it really falls around a recent MIT study on agentic AI, which indicated that the importance to productivity that AI must be trained by specific content that can only be found inside the firewall of organizations. Keep in mind that many of the world's first most amazing GenAI products like ChatGPT and Perplexity and [ Claude ] were all primarily trained on public information. Now public information only represents about 10% of the world's information. About 90% of that information is behind the firewall. In fact, many years ago, Open Text wrote a book called Behind the Firewall that described where all this information is and how you find it and how you use it. Now of course, most of that was built as records management and archive for regulated industries, and Open Text was the leader in all of that. So that positions us with an enormous access to all the data. And so as you know, we have hundreds of thousands of organizations all throughout the world that we've built these systems for over the past 35 years. That's really the gold mine for customers that are seeking to build productivity-related agentic AI. So we'll provide a lot more information on that. But where does that apply to Open Text? Well, Open Text in enterprise information management, it's got data stored in 3 major business units that we've broken out for you today in Content, our ITOM and our business networks. These products, our users are able to use their own data to train agentic AI that's way more powerful for anything that's available in the public domain. So that's why we call this enterprise artificial intelligence in the same way that we used to call it enterprise information management and before that, enterprise content management. So what is old is new again, and we're returning to our roots. And we think that there's an enormous demand for this as we go forward. Now we're also seeing an interesting change around proprietary clouds. And in the case of governments, they call it a sovereign cloud. Users don't want to lose the keys to their castle. AI is very different than just storing data. And our users are starting to find that they want to be very careful how they construct clouds that use AI. They want to make sure that they're inside the firewall. So we're noticing that the domestic telecoms throughout the world are starting to take a more substantial role in the supply chain for these proprietary clouds. And I think you'll see in the future, Open Text get more involved with those telecoms throughout the world as those channel opportunities present themselves. It's interesting because we're finding that major corporations that went to the cloud actually don't have an IT capacity internal to their companies anymore. And that's why they're seeking alternatives where they can maintain a proprietary AI, but do it on a managed service basis through ourselves, other vendors and the telecoms, as I have mentioned. Now these trends, they're going to be a major topic of our upcoming user conference. James has mentioned that we'll be having later this month in Nashville as well as the Analyst Day. Now we're also going to have a new book called enterprise artificial intelligence available that explains all these concepts in much more detail, both to yourselves as well as our users. So in closing, what lies ahead for Open Text is perhaps the greatest opportunity in the history of the company. We hope that you'll follow us on that journey as we take our core businesses and focus on them. We're going to train agentic AI with all that content. Our Board committee continues to make the divestitures of the noncore business, and our Board identifies and on boards our new CEO. So with that, could the operator please open the line to have questions.