Privacy-enhanced journeys,
from onboarding to offboarding

Relyance AI embeds compliance and data ethics into every phase of the customer and partner lifecycle—aligning data use with policies, preferences, and trust from start to finish.

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Lifecycle gaps expose every touchpoint to risk

Fragmented systems break consent and preference continuity

Privacy policies rarely translate into daily operations

Missteps with data transparency erode long-term trust

Smarter privacy automation, embedded into every lifecycle touchpoint

Gain end-to-end clarity across every customer and partner lifecycle—so you can automate privacy, enforce policies, and build trust at scale with zero guesswork.

Unify consent and preferences across systems

Relyance AI ingests consent and preference signals from every channel—web, apps, emails—and ties them to an individual’s unified data profile. This ensures policies follow the person, not the system.

Turn policies into automated controls

By linking privacy rules to its dynamic data map, Relyance AI applies the right policies—like purpose limitation or retention—based on each user's current status and data context.

Simplify compliant offboarding at scale

Automatically trigger deletion or anonymization workflows at the end of a relationship. Relyance AI handles offboarding based on defined rules and rights requests—no manual cleanup required.

Operationalize trust, not just compliance

Move beyond checkbox privacy. Relyance AI integrates with every data touchpoint to ensure that customer and partner expectations are respected, visible, and continuously enforced.

Discover and govern your entire data landscape

With AI-powered discovery, classification, and mapping, Relyance AI gives you real-time visibility into where customer data lives, how it flows, and what’s at risk—no matter the system.

The complete picture of your data in motion

Ditch legacy tools that miss the action with continuous tracking that follows data flows from source code to AI models, predicting and preventing violations in real-time.

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