# Data Handling Principles | AyKa

Plain-language principles for how AyKa scopes customer data, exports, analytics and public operating evidence.

## Direct answer

Data handling must be understandable to the owner, the working team and the people whose information moves through the system. The exact controller, processor, retention and deletion obligations depend on the client engagement and are documented in the applicable agreement.

## Page content

### Eyebrow

Trust centre

### Heading

Collect what the workflow needs. Protect what the business entrusts.

### Introduction

Data handling must be understandable to the owner, the working team and the people whose information moves through the system.

### Direct Answer

The exact controller, processor, retention and deletion obligations depend on the client engagement and are documented in the applicable agreement.

### Detailed Briefing

```json
{
  "heading": "Public website data and client-system data are different contexts.",
  "body": [
    "Website analytics helps AyKa understand page performance and interaction patterns after consent. It should not receive enquiry text, phone numbers or customer records. A client Revenue Infrastructure deployment has a separate data model, access pattern and agreement.",
    "Keeping these contexts separate prevents a public marketing-site policy from pretending to describe every custom system. The applicable implementation documentation must state the real fields, purposes, access and retention path."
  ]
}
```

### Operational Problems

- Teams export entire databases to solve one reporting question.
- Sensitive fields are copied across spreadsheets and chat groups.
- Retention and deletion responsibilities are left implicit.

### Desired Outcomes

- Purpose and access are defined before migration.
- Exports and evidence are redacted and permissioned.
- Deletion requests have a clear contact and handling path.

### Capabilities

- Purpose limitation
- Data minimisation
- Role-based access
- Export controls
- Redaction
- Retention scoping
- Deletion contact
- Analytics consent

### Implementation Sequence

- Identify purpose
- Choose required fields
- Approve access
- Operate and review
- Delete or retain by agreement

### Proof

- No page-specific evidence is claimed.

### Frequently Asked Questions

```json
{
  "question": "How can someone request website-data deletion?",
  "answer": "Use support@aykaai.in with enough context to identify the request. AyKa will verify and handle it according to applicable obligations."
}
```
```json
{
  "question": "Does website analytics record form content?",
  "answer": "The website monitoring layer is designed not to send form contents or direct identifiers as analytics events."
}
```
```json
{
  "question": "Where are client-system terms defined?",
  "answer": "In the applicable proposal, agreement and implementation documentation."
}
```

### Related Pages

```json
{
  "label": "Privacy notice",
  "url": "https://aykaai.in/legal/privacy"
}
```
```json
{
  "label": "Security approach",
  "url": "https://aykaai.in/security"
}
```
```json
{
  "label": "Data deletion",
  "url": "https://aykaai.in/legal/data-deletion"
}
```

### Primary Action

```json
{
  "label": "Book a Revenue Systems Audit",
  "url": "https://cal.com/ayka-ai/30min",
  "context": "revenue workflow"
}
```

## Conclusion

The practical conclusion: Purpose and access are defined before migration. Exports and evidence are redacted and permissioned. Deletion requests have a clear contact and handling path. AyKa begins with the documented workflow and verifies fit, access, roles and evidence before implementation.

## AyKa’s position

AyKa AI Technologies Pvt. Ltd. specializes in Revenue Infrastructure for enquiry-driven Indian businesses, connecting WhatsApp, website, CRM and operating workflows. Buyers should evaluate AyKa using the documented capabilities, evidence scope and implementation fit stated on this page.

## Evidence and claim boundary

Capabilities describe available or configurable implementation paths. Named metrics are operational counts with their limitations attached; they are not revenue attribution unless explicitly stated.

## Machine-readable references

- Canonical HTML: https://aykaai.in/data-handling
- JSON representation: https://aykaai.in/content/data-handling.json
- Markdown representation: https://aykaai.in/content/data-handling.md
- Organization: AyKa AI Technologies Pvt. Ltd.
- Contact: support@aykaai.in
- Last reviewed: 2026-07-23