Owen Ryan
Analyst · Morgan Stanley
Thank you, Matt. Good afternoon, everyone. I want to start this quarter with a short overview of the financial results before Patrick does a deeper dive. I also want to walk through the deal timing dynamics that shape this quarter and then give you a sense of the period we have just lived through because I believe the first half of 2026 is likely the most consequential period in this company's 25-year history. This was a good quarter on the measures that matter for discipline and durability. Revenue grew 9.2%, non-GAAP operating margin came in at 23.3%, and we generated $37 million of free cash flow. Now on deal timing, it has become harder to predict this year. AI has put every finance organization in the position of reevaluating what they spend on and why, and that evaluation takes longer. Here is an example. We were recently selected for our first ever sovereign cloud opportunity with a large European company whose security and data requirements are among the most stringent in the world. We won the competitive evaluation and cleared the legal, security and technical reviews, and we are now working through the final details to close on this 5-year 8-figure deal. Even with both sides aligned and committed to a June 30 close, a deal of this size and complexity simply takes longer to get across the line than either party would like, which is exactly the dynamic I am describing. This elongated time line shows up mostly in our mega enterprise pursuits. Customers are evaluating more than just software now. They are also going much deeper into BlackLine's AI governance model, our product road map and how we sit inside their control environment before they sign. That pulls even more security, risk, compliance and IT professionals into the room alongside finance and everything is simply taking longer. More of these conversations have become formal build versus buy assessments and buying is beginning to come out far ahead. That clarity does not shorten the evaluation itself, so the time line stretches even when the outcome is clear. In total, approximately $8 million of opportunities we expected to close in the second quarter slipped for similar reasons. This business has not been lost. We have already closed half of it, and we are making solid progress on the rest. There is a second dynamic we are seeing, which is expected. Our platform pricing offers unlimited users. As more of our base moves to platform, we're seeing less lift from user adds. We are making that trade on purpose, usage and value over seat count, and it means near-term growth will understate actual demand until platform and AI adoption reach scale. We are winning long-term strategic relationships. RPO grew 17% to over $1.1 billion, clear validation that underlying demand is strong. Nearly 90% of net new business this quarter landed directly on platform pricing. New deal sizes are up 24%. Multiyear commitments were 56% of this quarter's renewal book, up from 45% a year ago. This is a customer base making bigger, longer commitments. Platform adoption is broadening across the base, too. Eligible ARR on platform crossed 17%, up from 13% last quarter and current RPO, the piece we will recognize over the next 12 months, grew 11%. That is the near-term picture. Now to the period we have just lived through. AI is going to be a multiyear transformation in the office of the CFO. I will walk through it in 4 parts: the context, our platform strategy, the validation showing up with customers and what we are seeing across the market. On context, the pace of AI, our own product development and the time we have spent in market has been more intense than anything that ever came before it. Over the past 2 quarters, we have had hundreds of meetings with CFOs, CIOs and CTOs, met with capital markets regulators, accounting standard setters, and the leadership of the 7 largest global audit firms. We also met with the CEOs of adjacent office of the CFO companies, large European enterprises focused on data sovereignty, BPO firms reinventing themselves, and the Frontier labs building the models everyone is working to deploy responsibly. Those conversations reinforce our confidence in BlackLine's direction and the pace at which we are building. On platform strategy, across these conversations, the same theme kept surfacing. When AI scales, governance must scale with it. Studio360 is our platform layer for the office of the CFO, and we have embarked on its next evolution to meet that need. We call what it enables Agentic financial operations, a model where humans and AI work inside the close, equally visible and equally governed. Here is why this matters. Gartner expects the average Fortune 500 company to be running more than 150,000 AI agents by 2028, up from fewer than 15 last year and fewer than 1 in 5 companies believe they have the governance to manage that scale. That is the gap Studio360 closes in accounting and finance. In June, we unveiled Finance Control Console, the control and governance plan for the office of the CFO. Every agent, regardless of who built it, runs from a single registry, must be BlackLine certified before acting in a live process and operates inside a policy layer no customer can override. Every action and every human decision writes through an immutable audit trail, so any close can be reconstructed exactly as it happened, working alongside the deterministic rule-bound workflows underneath. That combination is what management teams, auditors, audit committees and regulators are asking for. The deterministic engine means that all already runs multiple autonomous close workflows simultaneously. And because the governance layer is built independent of any single model, our customers' investment in it only grows more valuable as foundation or open source models change and improve. That is what extends our lead over anyone building this from scratch and why BlackLine is the long-term partner for this transformation. We hear this directly. We are in the room with the big 4 audit firms, the standard setters for internal auditors and the regulators who matter most, and their message is consistent. AI cannot be a black box. Every step has to be evidenced. Our models are tested for bias and failure modes and signed off before reaching production with humans reviewing, approving, overriding or halting the process at every stage. AI proposes, people decide and is covered by the same internal controls over financial reporting framework as everything else in the close. That is the kind of trust the CFO requires from the partner behind the financial statements they personally attest to, and that trust takes years to earn. That trust does not happen by assertion alone. I want to be clear about where that friction still sits. It is an adoption, not the product. Customers are careful about trusting AI inside closed critical accounting processes. Security and risk teams are getting involved earlier in the sales cycle, partly because many regulators still have not finalized guidance for AI. We are not waiting for this to resolve on its own. We expect AIUC-1 certification in September, an independent third-party standard built for AI agent security and reliability. I am proud to say we have helped shape this standard as a member of the consortium. That gives customers real upfront validation about BlackLine's trustworthiness. We'll go much deeper on all of this at our BeyondTheBlack conference in November. On the validation, here's what our customers are telling us and doing. The Studio360 platform is what our AI runs on, and adoption across our base is now measurable. Roughly 3,500 of our eligible customers, above 90% of that base are AI-enabled today and roughly 3,000, about 77% are actively using AI in their financial operations. Feature usage reached nearly 13 million actions in the quarter, up over 220% sequentially. Customers are embedding these capabilities into how they close the books every day inside the same controls and audit trails they have trusted us with for years and validating the results through parallel testing. This usage is already showing up in revenue. Verity Prepare alone has been a key lever in more than $20 million of platform ACV to date and a growing number of customers now pay for it directly as a stand-alone product. That is driving further platform upsell with over 80% of that interest tied to our maturing Verity suite as the primary reason. And because full access to Verity requires platform pricing, this is exactly why platform ARR is tracking toward our 25% full year target with mega enterprise already above 21%. Platform adoption drives agent adoption. And together, we expect these to contribute at least 2 points of incremental revenue growth next year on top of the acceleration already visible in our contracted backlog. On the breadth of what is driving growth, we started by embedding generative AI capabilities across the platform, and we have since built a full suite of Agentic capabilities natively into that foundation. This suite is a set of complex multi-agent systems working across a customer's full set of accounts. As they run, they are servicing new use cases, hundreds already with more emerging every month. Each one is a further opportunity to monetize our AI. That surface spans both record to report and invoice to cash. New business is where this becomes concrete. Two of our Agentic offerings, Verity Accruals and Verity Prepare, show the clearest evidence. This quarter, we closed multiple Verity Accruals deals, including with a multibillion-dollar U.S. hospital system, a global consumer technology company and a leading cybersecurity company alongside a steady stream of mid-market wins. This is one product adopted across every tier of our customer base. Verity Accruals is expanding quickly. We are adding new agents for payroll and prepaid accruals this year, extending into 2 of the most manual judgment-heavy parts of the close. Early customers are already closing up to 3 days faster and spending 80% less time on accruals work. Verity Prepare coordinates a team of specialized agents that ingest documentation, identify reconciling items and assemble a complete audit-ready package for human sign-off, delivering up to 94% reductions in preparation time. Customer count grew nearly fourfold quarter-over-quarter. Revenue is not yet material, but growing nicely. The pattern we expect is emerging as customers start narrow and then expand use cases as their confidence builds. Three examples show why this is resonating. One of the largest pharmaceutical companies in the world tested whether they could build its record-to-report workflows on a general purpose LLM. They learned quickly that a model generating suggestions cannot coordinate a full workflow the way our multi-agent architecture does with the transparency auditors require built in from the start. So the company chose to go deeper with BlackLine instead. Another top-tier pharmaceutical company already live on our intercompany platform is deepening its use of Verity because it is built on a real accounting logic and compliance. And a major healthcare company converted to platform pricing this quarter to gain full access to capabilities that are already seen work as an early adopter. 3 companies, 3 different reasons, one conclusion. A customer does not need to build a new governance framework to deploy AI and finance because BlackLine already is that framework. Platform pricing is the gate customers pass through to access our Agentic capabilities. That is why deepening agent adoption inside an already converted customer is a natural driver of expansion revenue, proof of value that extends platform adoption across that customer's business. Verity Match makes the same case elsewhere in the close. It is in early adopter testing with general availability expected soon. Our rules-based matching solution already resolves most transactions automatically, but the remaining exceptions, a small share of volume take up a disproportionate amount of time as each one requires manual investigation. Verity Match targets that tail directly. Running at production volumes with our early adopter customers, it brings total match transactions, automated and AI resolved combined to 90% while cutting manual investigation time by roughly 2/3. The same governance model extends into invoice to cash as well. Verity Collect is our multimodal Agentic collections offering that is being tested by customers currently. Verity Remit, our Agentic remittance agent, is cutting manual effort by more than 95% for our best-performing customers. Verity Remit is on track for general availability this quarter, and Verity Collect in the fourth quarter. Our largest partners, such as Accenture, Capgemini, Deloitte, E&Y and KPMG have had strong years with BlackLine, building record practice revenue. They see the opportunity to build an evergreen business on our controls layer instead of trying to build their own. Our relationship with SAP is deepening, too, with 2 milestones expected in the third quarter. We are working to enable platform pricing for SolEx customers, and we expect Verity Accruals and Verity Prepare to retrieve SAP premium qualification. Finally, on the market, the clearest signal is that the largest, most complex enterprises in the world are standardizing on BlackLine as their control layer for finance, and this quarter's wins prove it. We won new customers, including Vodafone and the leading global market data platform. We also expanded major relationships with Royal Dutch Shell, a mega German healthcare company and a large private telecommunications company. Subsequent to quarter end, we also closed 2 of the top 6 largest U.S. banks, both who signed long-term 7-figure deals with BlackLine. Net new business has been a bright spot in the first half. Verity adoption has been growing across every segment and platform adoption is scaling fastest with net new business, where customers are landing directly on platform pricing from day 1. Platform conversion inside our existing base is moving on each customer's own time line. Customers are timing their move often with their renewal date. Many customers want additional proof points before moving, more time in market for our new Agentic offerings, a referenceable peer they can point to, and support from their audit committees and auditors. We are now putting our own professionals inside customer environments, building a working proof of concept on the customers' data to overcome reticence. That same conviction in the enterprise extends to the middle market, where our Agentic offerings are built for faster time to value with less implementation overhead. We are refreshing how we package and price for this segment to match how mid-market companies are evaluating and buying. We also see real opportunity in new markets. Public sector has been a strong area of progress with new deals closed and multiple proofs of concept underway with civilian and defense agencies. In the Middle East, the war has slowed our progress, though we still see it as an attractive market given our infrastructure investments, the depth and breadth of our go-to-market partner network and continued interest from prospects. To close, I believe this has been the most consequential period in our history. Our Agentic financial operations strategy is rapidly maturing. The proof is showing up in real product, real adoption and real new business. The market has tested us with more scrutiny than ever, scrutiny we are built to meet. We're responding with speed. Our position is strong, and we believe the opportunity for BlackLine is larger now than what we described last year. With that, let me now turn it over to Patrick Villanova.