Intapp (NASDAQ:INTA) used its Investor Day 2026 event to outline how management views the shift to agent-based artificial intelligence as a major opportunity for the company’s software platform serving capital markets, legal, and advisory firms. Executives highlighted record recent results, steady retention, and a large base of professional-firm customers as the foundation for what they described as the company’s biggest product launch to date: Celeste, an “Agentic AI” platform designed for the workflows and compliance requirements of professional services firms.
Celeste launch and partner ecosystem
CEO John Hall said Intapp is “positioned to win in the Agentic AI cycle,” arguing that demand for the elite professional firms Intapp serves should continue to expand even as AI automates parts of knowledge work. Hall announced the launch of Celeste, describing it as a standalone, AI-native platform built over two years to deliver “expert agents” inside firm workflows such as business origination, deal and asset management, intake and compliance, and revenue management.
Why Intapp says vertical AI matters: firm structure and “professional compliance”
Hall and Chief Product Officer Thad Jampol emphasized that professional firms operate differently than typical corporations: partner-led structures, project-based staffing, and relationship-driven business development create complex workflows that are difficult to standardize. Management argued that AI’s value in these firms extends beyond drafting and research tools, especially for senior partners and business services teams focused on origination, growth, and risk management.
A central theme was what Intapp called professional compliance, including conflicts of interest avoidance, protection of material non-public information, independence requirements, and ethical duties of confidentiality and loyalty. Hall said compliance concerns are a primary blocker to AI adoption at these firms and that horizontal AI providers are not built for these requirements. Jampol said Celeste is designed to address ethical walls, independence, and market abuse regulations, among other constraints.
Product details: model-agnostic architecture, playbooks, and embedded agents
Jampol described Celeste as model-agnostic, with Intapp selecting the best model for a given task and allowing clients to choose providers. He said the product is designed around an “agents replace traditional workflows” paradigm and is being developed on a fast release cadence using modern AI coding tools.
Key elements described in the presentation included:
- Playbooks and skills: Intapp said it codifies industry best practices into playbooks, with “skills” that can run deterministically for high-stakes, high-judgment work where firms want predictable outcomes.
- Connectors: Out-of-the-box connections to systems of record and third-party data feeds, with optional extensions to other systems.
- Context engine: A “Celeste Context Engine” intended to map firm terminology and data structures so agents can understand firm-specific semantics.
- Governance layer (“Walls for AI”): A compliance and confidentiality layer meant to underpin Celeste and other AI tools deployed within a firm.
Jampol also gave an example use case for private equity deal intake, describing agents that process inbound teasers and CIMs, validate metrics and comps, incorporate institutional history, and generate preliminary modeling outputs. He said similar functionality could be surfaced through tools like Copilot.
Market backdrop and go-to-market focus
President of Industries Ben Harrison reviewed growth trends across Intapp’s target verticals and argued that consolidation and increased complexity are driving technology investment at the top end of the market. He cited examples including the growth of large law firms, concentration in private equity fundraising, and private equity-driven consolidation in accounting and consulting.
Harrison said Intapp’s go-to-market approach relies on “sales plays” tailored to specific industry dynamics, and he shared several customer examples intended to illustrate land-and-expand outcomes. He also described Intapp’s cloud migration focus as a driver of adoption for AI functionality, emphasizing that the company positions cloud transitions as a path to access AI capabilities.
Financial targets, pricing evolution, and enterprise momentum
Chief Operating Officer Don Coleman said Intapp has been executing a multi-year shift toward an enterprise-focused go-to-market model, noting that three-quarters of the company’s traditional IT serviceable available market (SAM) is in the enterprise segment, which he described as roughly 2,800 accounts. Coleman said Intapp’s ecosystem of data partners, technology partners, and services providers is a key advantage, and he highlighted co-selling activity with Microsoft, including his statement that more than half of Intapp’s largest transactions year-to-date were “jointly with Microsoft.”
Coleman also addressed pricing, saying Intapp uses seats to enter and expand accounts but often converts customers to enterprise agreements tied to metrics other than seats. He said less than 50% of Intapp’s ARR is seat-based. For Celeste, he said Intapp expects a conventional AI pricing approach that includes a platform fee plus a consumption model tied to activity and agent usage, although he noted it was not yet in the company’s model.
Chief Financial Officer David Morton provided updated disclosures and long-term targets. He said SaaS is now more than 70% of total revenue and that the company has improved profitability metrics since the prior Investor Day. Morton set a “line in the sand” target of $1 billion of ARR by FY29, with targets of 80% non-GAAP gross margin, 28%–30% non-GAAP operating margin, and 25%–30% free cash flow margin. He also said Intapp is committing to positive GAAP operating profit in FY28, acknowledging an increase in stock-based compensation over the prior two quarters tied to hiring for AI and technical leadership roles.
On market sizing, Morton said Intapp now views its traditional IT SAM/TAM as having grown from about $15 billion to closer to $20 billion due to pricing, packaging, and acquisitions, and he discussed the addition of an “Agentic AI Opportunity” on top of that. Hall said the company is “immediately naming an additional $30 billion Agentic Opportunity” by focusing conservatively on workflows Intapp already operates, with potential to expand beyond that over time.
About Intapp (NASDAQ:INTA)
Intapp, Inc, headquartered in Palo Alto, California, is a leading provider of cloud-based software solutions designed to meet the unique needs of professional services firms, including law firms, accounting practices, and financial institutions. The company’s integrated platform connects front-office business development with back-office risk and compliance functions, enabling organizations to streamline workflows, improve collaboration and enhance client service.
Intapp’s suite of applications—such as Intake, Conflicts, Risk, Open, Time and Flow—addresses the entire client lifecycle.
