The base business compounds on sticky front-office workflows, while AI creates an optionality layer: paid automation that executes safely inside the customer’s data and policy boundaries.

By 2030, the upside case is converting an enormous installed CRM workflow surface into paid, governed “digital labor” (agents + trust controls + data readiness) with Informatica strengthening data quality, sustaining high cash generation and enabling a modest multiple lift as AI revenue becomes repeatable.

Strong alignment via distribution (embedded in front-office work), trust/compliance posture, and ecosystem; main constraint is dependence on hyperscaler compute economics for agent workloads.

The core suite remains sticky because it sits in revenue-critical workflows, while the nonlinear upside comes from monetizing agent execution as a new spend line (per-action/consumption plus trust controls). Informatica improves time-to-production for AI by making data cleaner and more governable, raising attach and renewal confidence. If management keeps operating discipline while proving durable AI monetization, the market can sustain a healthy software multiple rather than treating AI as a margin headwind.

The key risk is monetization quality: converting agent pilots into durable, paid consumption while managing inference costs and any liability from autonomous actions. Competitive bundling (especially Microsoft) can force price simplification. Informatica integration is a major upside lever but also an execution and GTM focus risk.

$326.83