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.
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Improve data quality and accuracy - Reduce outdated, duplicated and fragmented customer data through customer-managed updates and permissioned sharing.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.
Use Cases
Built For Multiple Sectors
DataPal supports a wide range of use cases across:
Trust & Security
DataPal is designed to support:
transparent customer permissions,
auditable data relationships,
portable information sharing,
and customer-controlled access.
This helps organisations build stronger trust while preparing for evolving privacy and Smart Data expectations.
Privacy, Transparency And Trust By Design
FAQs
DataPal Brand & Organisations FAQs
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DataPal can help your organisation exchange and use data with clearer permissions, greater transparency and better evidence of what was agreed.
This can support customer relationships, cross-organisation data sharing, Smart Data services and responsible uses of AI.
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Depending on the use case, DataPal can help organisations:
Build greater customer trust
Reduce uncertainty around data use
Improve the quality of customer preferences
Create clearer records of permissions and actions
Support responsible AI adoption
Develop new permissioned services
Collaborate with partners more safely
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Yes. As AI agents begin to communicate and transact with organisations, businesses will need to know who the agent represents, what it is allowed to do and how its actions can be verified.
DataPal provides infrastructure for permissions, identity, agreements and auditable agent interactions.
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The Agent Audit Log provides a verifiable record of important actions taken by an AI agent.
It can help show what the agent was asked to do, what permissions it had and what happened. This supports transparency, investigation and accountability.
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Yes. DataPal can help organisations establish clear terms for sharing data across organisational boundaries.
This is useful when several parties need to work together but require greater confidence about permissions, responsibilities and permitted uses.
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No. DataPal supports a zero-copy approach where appropriate. This means information can remain with its existing owner or source while trusted access and use are managed through permissions.
This can reduce unnecessary duplication and the risks created by moving data into another central store.
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Yes. A focused use case is often the best starting point.
DataPal can help identify a relationship or process where trust, permissions or data sharing currently create friction. This can then be explored through discovery, a pilot or a technical proof of concept.
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No. Regulated sectors have an especially strong need for clear permissions and accountability, but the same challenges exist across advertising, retail, media, property, health, financial services, public services and many other markets.
Build Trust
Build Trusted, AI-ready Customer Relationships
Discover how DataPal can help your organisation improve trust, reduce friction and unlock smarter customer engagement.
MyTerms Standards
AI-Ready Infrastructure
Smart Data Principles