For Organisations

Trusted Customer Relationships For The Age Of AI & Smart Data

DataPal helps organisations build more transparent, permissioned and valuable relationships with customers — powered by trusted data sharing and intelligent services.

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MyTerms Standards

AI-Ready Infrastructure

Smart Data Principles

What’s Different?

Customer Relationships Are Changing

DataPal helps organisations respond to this shift by enabling trusted, permissioned and AI-ready customer relationships built around Smart Data principles.

Customers increasingly expect:

More transparency
More control
Better experiences
Greater value in exchange for their data

At the same time, organisations face growing pressure from:

Privacy regulation
Fragmented customer data
Rising acquisition costs
Declining trust
The emergence of AI-driven services

Radical transparency

Machine-readable consent

Trust-first architecture

AI-native by design

Why DataPal?

Core Value Pillars

Build customer trust at scale - Enable customers to manage and share their information transparently and confidently.

Improve data quality and accuracy - Reduce outdated, duplicated and fragmented customer data through customer-managed updates and permissioned sharing.

Prepare for the AI-driven future - Create the trusted data foundations needed for AI agents, intelligent services and next-generation customer experiences.

Reduce friction and compliance burden - Support transparency, portability and customer self-service in ways aligned with evolving privacy expectations.

Unlock smarter engagement and loyalty - Enable more relevant, permissioned and valuable customer interactions.

The Strategic Difference

A Smarter Model For Customer Data And Engagement

Traditional CRM models were built around organisations collecting and controlling customer data.

DataPal enables a more collaborative approach:

Where customers have visibility and control
Organisations gain access to better quality information
Trusted data relationships create mutual value for both sides

This creates the foundation for:

Better personalisation
Stronger loyalty and lower friction
More trusted AI-enabled services

Better Quality Information

Customer Visibility

Trusted Data Relationships

Why DataPal?

What Can Organisations Do With DataPal?

Enable trusted customer data sharing

Create transparent, permissioned relationships that encourage customers to share richer and more accurate information.

Simplify onboarding and profile management

Allow customers to maintain and update their information once, across multiple services and relationships.

Improve CRM and customer intelligence

Receive cleaner, more up-to-date customer information directly from trusted sources.

Support Smart Data initiatives

Enable portable, customer-controlled data sharing aligned with emerging Smart Data ecosystems.

Deliver AI-ready customer experiences

Build the infrastructure for trusted AI assistants, intelligent workflows and agent-to-agent interactions.

Receive structured customer data and signals

Support inbound customer intent, preference sharing and future demand-driven engagement models.

DataPal Integrations

DataPal Is Designed To Work With Your Existing Systems

DataPal can operate alongside your existing technology stack, including:

CRM Platforms

Customer Data Platforms

Loyalty Systems

Digital Identity Services

AI Workflows

Customer Facing Applications

Whether you are; launching a new service, modernising customer engagement, enhancing an existing CRM environment, DataPal provides a future-ready trust and data-sharing layer.

Salesforce

Integrate With Platforms Like Salesforce

DataPal complements existing CRM platforms by enabling customers to manage and permission their own information more transparently.

Benefits include:

Improved customer data quality,
Reduced manual maintenance,
More accurate profiles,
Trusted real-time updates.

Customers can securely maintain and share information directly into connected CRM environments, helping organisations improve both efficiency and customer trust.