Appian (APPN) TD Cowen's 54th Annual Technology, Media & Telecom Conference summary

Business overview and customer use cases

• Focuses on automating complex, mission-critical processes for highly regulated industries, generating over $800 million in revenue and serving major global banks, insurers, pharma companies, and all branches of the U.S. government.

• Delivers significant efficiency and risk reduction, such as reducing fraud investigation time by 98% for financial institutions and providing real-time ammunition tracking for the U.S. military.

• Replaces legacy systems and manual processes, offering high security and auditability, especially valued in regulated sectors.

• Customers experience strong ROI, driving continued growth and adoption.

AI strategy and deployment

• AI is deployed both as a worker within processes and as an author for application creation, with a focus on reliability, auditability, and guardrails.

• 70%-80% of customers use AI in some form, though much is still in proof-of-concept; 40% pay for advanced AI tiers, indicating growing production use.

• Monetization includes a 25%-35% license premium for advanced AI, with incremental consumption packages for large-scale use cases.

• AI-enabled tools like DocCenter and Composer support both process automation and application development, with new features announced to enhance flexibility.

Monetization and customer journey

• Customers typically start with proof-of-concept, move to production with professional services, and expand to larger or multiple use cases, driving incremental revenue.

• Advanced tier has reached $100 million ARR, with further upside as more customers upgrade and increase AI consumption.

• Consumption-based AI revenue is expected to grow, with future premium tiers planned for additional monetization.