Q2 (QTWO) Investor update summary

Personal AI agents

• Personal agents are viewed as a new banking channel, adding a front door rather than replacing digital banking or fraud platforms.

• MCP endpoints let external agents connect to digital banking; banks retain control over security, entitlements, policies and the branded experience.

• The platform remains central through its context, integrations, orchestration, data and controls, while agents coordinate user interactions.

• Banks may delay external agent access while managing risk, but executives view broad adoption as a matter of when, not if; customers already use simpler aggregator experiences.

Fraud and cybersecurity

• AI raises attacker capabilities through faster exploits, deepfakes and social engineering, while also strengthening defenses; effective AI use can help institutions counterbalance the increased threat.

• Differentiators cited include operational security expertise, payment and login interception, orchestration, and behavioral data across applications and the financial ecosystem.

• UAM, an account takeover and fraud product, is among the fastest-growing product lines; detectors can be added quickly as new channels create fraud signals.

• Agentic channels widen the attack surface and increase incoming signals; cyber endpoint data is being combined with user signals to improve fraud decisions.

• Security operations use AI to accelerate vulnerability fixes; Q2 Assistant completed the independent AIUC-1 assessment, supporting customer trust and credibility.

AI products and adoption

• Q2 Assistant helps financial institutions complete customer-care workflows such as entitlement changes and password resets in under a minute, versus sometimes an hour or longer.

• Q2 Assistant and UAM have significant early-access traction and are expected to approach general availability before year-end.

• Early-access deployments are taking weeks rather than quarters or months; customers view the products as tools for efficiency, defense and competitive advantage.

• AI-driven development speeds prototyping and iteration, with closer customer engagement and faster tailoring contributing to product demand and adoption.