Appian (APPN) investor relations material

Strategic positioning and market focus

• Emphasizes mission-critical process automation for highly regulated industries, with 80% of customers in sectors like government, financial services, pharmaceuticals, and insurance.

• AI is positioned as an essential enabler, with Appian providing the deterministic layer needed for reliable enterprise AI at scale.

• Focus remains on deepening penetration in core verticals rather than expanding into new ones, leveraging a large untapped TAM within the Fortune 500 and Global 2000.

• Legacy modernization is highlighted as a major growth driver, with AI accelerating the replacement of outdated, risky, and costly legacy systems.

• Partnerships, such as with PwC, are expanding Appian’s reach and supporting industry-specific solutions.

Product innovation and AI integration

• The platform offers a comprehensive automation portfolio, including process orchestration, robust data integration (Data Fabric), process intelligence, and enterprise-grade security.

• AI is embedded in processes through specialized agents, document processing (Doc Center), and natural language-driven application development (Composer).

• Doc Center and AI agents are driving exponential growth in AI usage, with 40% of customers now paying for AI features.

• The Data Fabric provides a unified, secure, and semantic data layer, enabling high-value AI use cases and rapid integration across silos.

• New capabilities allow for rapid legacy app modernization, collaborative spec-driven development, and continuous improvement via AI feedback loops.

Financial performance and growth strategy

• ARR surpassed $600 million, with cloud revenue comprising 80% and public sector growth outpacing financial services.

• The number of $1M+ customers has doubled in five years, with increasing average deal size and strong land-and-expand dynamics.

• 2026 guidance targets $825 million in revenue and $100 million in EBITDA, with continued margin expansion and strong free cash flow.

• Sales efficiency has improved through strategic hiring, value-based selling, and operational rigor, resulting in faster rep ramp times and more large strategic deals.

• Multiple pricing models, including the Enterprise Growth Plan and consumption-based AI pricing, align incentives and support scalable customer growth.