Solutions

Built Around Your Biggest Data Risks.

High-value use cases aligned to the business problems executives own, where data risk is highest and the cost of inaction is clearest.

Use Cases

Where Agingo delivers measurable impact.

Each use case targets a specific business problem with a real budget owner. Start with one. Expand as value is demonstrated.

AI Data Protection

Enable AI on sensitive data without exposing underlying records. Built for CDOs and CISOs managing AI governance.

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Secure Data Sharing

Share across teams and partners with full control and audit trails. Break silos without breaking governance.

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Payments & Financial Data

Process payment and financial data securely across every system that touches it. PCI DSS compliance built in.

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Fraud & Risk

Improve fraud detection using sensitive signals without widening exposure. Better models, controlled access.

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Regulatory Compliance

Meet GDPR, CCPA, HIPAA, and PCI DSS with audit trails built into the data layer, not bolted on after the fact.

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Retail & Supply Chain

Enable AI and analytics on customer and supplier data safely. From personalization to demand forecasting.

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01
AI Data Protection

Run AI on your most sensitive data, without creating new exposure.

AI delivers the most value when it can access your most sensitive data: customer records, transaction histories, health records, and operational signals. But giving AI models unrestricted access to that data creates significant breach, compliance, and governance risk.

Agingo creates a protected layer between your AI infrastructure and your sensitive data. Models get the access they need. Underlying records stay governed. Every inference, every data access, every policy decision is logged automatically.

Business Outcomes

  • Accelerate AI deployment by removing data governance roadblocks

  • Reduce breach surface without limiting model performance

  • Satisfy data governance teams and legal without halting AI programs

Target Buyer

Chief Data Officer · Chief AI Officer · CTO · CISO

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AI Data Protection
Common starting point

One AI initiative. One protected data set. Immediate risk reduction.

Most organizations start with a single high-value AI program, such as fraud detection, customer personalization, or predictive maintenance, and use Agingo to protect the data that powers it. Expansion follows as value is proven.

Secure Data Sharing
Typical scenarios

Internal teams. External partners. Regulators. All with the right access.

Finance sharing data with risk. Operations sharing supplier data with partners. Compliance sharing records with regulators. Agingo manages who gets what and logs everything.

02
Secure Data Sharing

Stop choosing between data silos and data risk.

Most enterprises face the same impossible choice: lock down sensitive data and slow every initiative that depends on it, or share it broadly and accept the compliance and breach risk that follows. Neither outcome is acceptable at scale.

Agingo enables controlled data sharing, internally across business units, externally with partners and vendors, and with regulators, while maintaining full visibility and governance. Access is scoped to what's needed. Every sharing event is logged. Policy is enforced automatically, not through manual review.

Business Outcomes

  • Break down internal data silos without breaking data governance

  • Enable partner integrations with full data access controls in place

  • Reduce compliance burden on sharing workflows through automated audit trails

Target Buyer

Chief Data Officer · Chief Information Officer · Chief Compliance Officer

Discuss This Use Case
03
Payments & Financial Data

Secure payment and financial data flows across every system that touches them.

Payment processing, account data, and financial records pass through multiple systems, counterparties, and jurisdictions. Each handoff is a potential exposure point for breach, fraud, and compliance failure. The more complex the flow, the higher the risk.

Agingo secures financial data as it moves across your infrastructure and to external counterparties. PCI DSS compliance is built into the flow, not retrofitted. Access is governed at every point. Settlement data, account records, and transaction histories are protected end-to-end.

Business Outcomes

  • Reduce fraud vectors and unauthorized access across payment flows

  • Simplify PCI DSS compliance with data governance built into the payment layer

  • Accelerate counterparty integrations with secure, governed data handoffs

Target Buyer

Chief Financial Officer · Chief Risk Officer · CISO · Head of Payments

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Payments and Financial Data
Works with your existing payments infrastructure

No new payment rails. Just better protection on the ones you have.

Agingo works alongside your existing payment processors, banking integrations, and financial data platforms. Better protection without rewiring what's already working.

Fraud and Risk
The detection paradox

Better fraud models need more sensitive data. More data creates more exposure. Agingo resolves both.

The best fraud signals come from the most sensitive data. Agingo lets your risk models access what they need, without expanding your breach surface.

04
Fraud & Risk

Improve fraud detection without widening your data exposure.

Effective fraud detection depends on access to rich, sensitive signals: behavioral patterns, transaction histories, identity data, and cross-channel activity. But connecting fraud models to sensitive data creates real governance and compliance risk. Most enterprises limit their models to protect themselves, and accept weaker detection as the cost.

Agingo resolves the trade-off. Fraud and risk models access the data they need through a protected layer. Sensitive records stay governed. Detection improves. Exposure stays controlled. Every model inference is logged for audit and compliance purposes.

Business Outcomes

  • Improve detection accuracy with access to richer sensitive data signals

  • Maintain governance and compliance posture while expanding model access

  • Generate complete audit trails for every risk decision involving sensitive data

Target Buyer

Chief Risk Officer · Chief Fraud Officer · Head of Financial Crime · CISO

Discuss This Use Case
05
Regulatory Compliance

Compliance built into your data layer. Not bolted on after the fact.

Regulatory requirements around data are increasing in scope and specificity. GDPR, CCPA, HIPAA, PCI DSS, and emerging AI regulations all require demonstrable data governance: not just policy documents, but auditable records of who accessed what, when, and under what authority.

Automated audit trails

Every data access event recorded. Every policy enforcement logged.

Agingo automatically records every data access, every sharing event, and every policy enforcement decision. Regulatory review becomes a reporting task, not an investigation into fragmented records across multiple systems.

Evolving regulation

Data governance that adapts as requirements change.

Regulatory requirements keep evolving. Agingo's governance layer is configurable to new requirements without requiring infrastructure overhauls. Add new rules, new jurisdictions, and new data categories without rebuilding your compliance architecture.

Business outcomes

Reduce the cost and complexity of compliance reporting.

Satisfy regulators with complete, accurate records generated automatically. Reduce the manual effort required for audits, investigations, and regulatory submissions. Demonstrable compliance becomes a capability, not a project.

Target buyers

Chief Compliance Officer · General Counsel · CISO · Chief Privacy Officer

Compliance decisions typically involve legal, privacy, security, and operations. Agingo supports cross-functional alignment by giving each stakeholder what they need: legal gets governance, CISO gets reduced breach surface, operations gets less friction.

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06
Retail & Supply Chain

Enable AI and analytics on customer and supplier data, without the exposure.

Retail and supply chain operations generate enormous volumes of sensitive data: customer purchase histories, payment records, loyalty program data, supplier contracts, and logistics information. This data is the engine of competitive differentiation, but it is also the primary source of compliance risk, breach exposure, and customer trust liability.

Agingo enables retailers and logistics operators to use this data for AI personalization, demand forecasting, fraud prevention, and supplier analytics, while keeping customer and operational data properly governed. The result is better decisions with fewer data governance compromises.

Business Outcomes

  • Run AI personalization and demand forecasting on protected customer data

  • Share supplier and logistics data securely without creating new contractual risk

  • Reduce compliance exposure under CCPA, GDPR, and evolving retail data regulations

Target Buyer

Chief Digital Officer · Chief Data Officer · CTO · Chief Privacy Officer

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Retail and Supply Chain
Works with your existing retail tech

Shopify, Salesforce Commerce, SAP, Oracle: Agingo complements the stack you already run.

No platform replacement required. Agingo adds a secure data layer across your existing commerce, CRM, and supply chain systems.

Industries

Where Agingo is most relevant today.

We focus where sensitive data volume is highest, regulatory requirements are strictest, and AI adoption is accelerating fastest.

Financial Services

Banks, fintechs, insurers, asset managers

Retail / eCommerce

D2C, marketplaces, loyalty platforms

Logistics & Supply Chain

3PLs, carriers, freight, customs

Energy & Utilities

Power, gas, water, grid operators
Financial Services

The industry where data risk, AI opportunity, and regulatory complexity converge.

Financial services organizations hold the most sensitive data in the enterprise: customer accounts, payment records, credit histories, and transaction data. Regulators demand governance. Customers expect privacy. Competitors are deploying AI faster than compliance teams can review it.

Priority Use Cases

Secure AI on Customer Data

Run credit scoring, churn prediction, and customer AI on protected account and transaction data, without creating new breach or compliance exposure.

Fraud Detection Without Widening Exposure

Give fraud models access to richer behavioral and transaction signals while maintaining governance over the underlying records they access.

Regulatory Data Sharing

Share data with regulators, auditors, and counterparties under strict governance, with complete, automatic audit trails for every disclosure.

Why Agingo fits without rip-and-replace: Financial institutions already run on Salesforce, Oracle, Fiserv, and major cloud platforms. Agingo deploys as a protective layer across these systems, with no migration, no replatforming, and no operational disruption.

Discuss Financial Services
Financial Services
Retail
Retail / eCommerce

Customer data is the engine of retail AI. Agingo makes it safe to use.

Retail and eCommerce organizations own enormous volumes of customer data: purchasing behavior, payment records, loyalty information, and browsing history. This data drives AI personalization, demand forecasting, and fraud prevention. It is also the primary source of compliance liability under CCPA, GDPR, and emerging state privacy laws.

Priority Use Cases

AI Personalization on Protected Customer Data

Deploy recommendation models and personalization engines on customer data without uncontrolled access to underlying PII or payment records.

Secure Supplier and Partner Data Sharing

Share inventory, demand forecasts, and logistics data with suppliers and partners while maintaining governance over commercially sensitive information.

Payment Data Protection

Secure payment and account data flows across your commerce, payments, and loyalty platforms to reduce PCI DSS scope and breach exposure.

Why Agingo fits without rip-and-replace: Retail tech stacks are complex and varied. Agingo layers across existing commerce platforms, CDPs, and cloud infrastructure without requiring changes to core systems.

Discuss Retail
Logistics & Supply Chain

Optimize the supply chain with data sharing that doesn't create commercial or compliance risk.

Supply chain optimization depends on data sharing across carriers, suppliers, customs authorities, and enterprise systems. But this data includes commercially sensitive pricing, operational intelligence, and partner contracts. Sharing too broadly creates competitive and contractual risk. Not sharing creates operational blind spots.

Priority Use Cases

Secure Multi-Party Data Sharing

Share demand signals, inventory data, and shipment information across partners and carriers with full governance over what each party can access.

AI-Driven Predictive Analytics

Run predictive maintenance, route optimization, and demand forecasting on sensitive operational and supplier data without expanding who can see the underlying records.

Regulatory and Customs Data Governance

Manage customs disclosures and cross-border data requirements with complete audit trails and configurable governance policies per jurisdiction.

Why Agingo fits without rip-and-replace: Logistics operations run on SAP, Oracle TMS, and major cloud EDI platforms. Agingo integrates as a secure data layer across these systems without requiring replatforming.

Discuss Logistics
Logistics
Energy and Utilities
Energy & Utilities

Protect operational data while enabling AI and regulatory sharing.

Energy and utilities companies manage highly sensitive operational data: grid infrastructure, customer consumption records, and OT/IT system data that is both commercially sensitive and critical infrastructure. AI can significantly improve operational efficiency, but accessing OT data for AI models creates cybersecurity and regulatory risk.

Priority Use Cases

OT/IT Data Protection for AI

Enable predictive maintenance and grid optimization models to access operational data without exposing critical infrastructure systems.

Regulator Data Sharing

Share consumption data, grid performance metrics, and compliance records with regulators and authorities under strict governance with complete audit trails.

Customer Data Governance

Protect customer consumption records, smart meter data, and account information under CPRA, state utility regulations, and evolving smart grid requirements.

Why Agingo fits without rip-and-replace: Utilities run on legacy OT systems, SCADA infrastructure, and enterprise ERP platforms. Agingo adds a governance layer without requiring changes to critical operational systems.

Discuss Energy & Utilities

Your use case. Our trust layer.

Tell us the data problem you're trying to solve. We'll show you how Agingo fits your environment and what a first engagement looks like.

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