# Sant Pathik Vidyalaya Enquiry Workflow Case Study | AyKa

How AyKa helped handle 500+ education enquiries and classify 200+ as high-priority over two months.

## Direct answer

Sant Pathik Vidyalaya used an AyKa-delivered enquiry workflow through Welltechup Agency to handle incoming conversations and surface high-priority enquiries for follow-up. The evidence is operational: 500+ enquiries handled in two months and 200+ classified high-priority. It is not an enrolment or revenue claim.

## Page content

### Eyebrow

Case study / Education

### Heading

From admission conversations to an inspectable enquiry record.

### Introduction

Sant Pathik Vidyalaya used an AyKa-delivered enquiry workflow through Welltechup Agency to handle incoming conversations and surface high-priority enquiries for follow-up.

### Direct Answer

The evidence is operational: 500+ enquiries handled in two months and 200+ classified high-priority. It is not an enrolment or revenue claim.

### Detailed Briefing

```json
{
  "heading": "The operating problem was not a shortage of conversations.",
  "body": [
    "Admission enquiries can contain fees, class, eligibility, timing and visit intent inside a natural conversation. The operational challenge is preserving the context and turning it into a record the team can act on without manually rebuilding every exchange.",
    "The delivered workflow helped handle the conversation volume and apply multiple qualification criteria. High-priority status describes the operational result of that qualification, not a prediction or guarantee of admission."
  ]
}
```

### Operational Problems

- Admission questions arrive conversationally and require context.
- Priority depends on multiple criteria rather than one form field.
- Management needs visibility beyond a raw message count.

### Desired Outcomes

- Enquiries were handled in a shared operating workflow.
- Qualification surfaced 200+ high-priority records.
- Managers could export supported leads and conversations.

### Capabilities

- Conversation handling
- Knowledge responses
- Qualification criteria
- Priority classification
- Follow-up path
- Manager visibility
- Lead export
- Conversation export

### Implementation Sequence

- Capture the enquiry
- Collect relevant context
- Apply qualification criteria
- Surface priority
- Support follow-up

### Proof

```json
{
  "metric": "500+",
  "label": "enquiries handled",
  "note": "Two-month operating period; not admissions or revenue."
}
```
```json
{
  "metric": "200+",
  "label": "classified high-priority",
  "note": "Operational classification using multiple criteria; not completed admissions."
}
```

### Frequently Asked Questions

```json
{
  "question": "Was 500+ the number of admissions?",
  "answer": "No. It was the number of enquiries handled during the stated period."
}
```
```json
{
  "question": "Does high-priority mean a closed admission?",
  "answer": "No. It is an operational classification intended to focus follow-up."
}
```
```json
{
  "question": "Can supporting evidence be reviewed?",
  "answer": "Approved redacted screenshots or exports can support the case-study record without exposing private parent or student information."
}
```

### Related Pages

```json
{
  "label": "Education solution",
  "url": "https://aykaai.in/industries/education"
}
```
```json
{
  "label": "Lead Engine",
  "url": "https://aykaai.in/products/lead-engine"
}
```
```json
{
  "label": "Evidence policy",
  "url": "https://aykaai.in/proof"
}
```

### Primary Action

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

## Conclusion

The practical conclusion: Enquiries were handled in a shared operating workflow. Qualification surfaced 200+ high-priority records. Managers could export supported leads and conversations. 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/case-studies/sant-pathik-vidyalaya
- JSON representation: https://aykaai.in/content/case-studies/sant-pathik-vidyalaya.json
- Markdown representation: https://aykaai.in/content/case-studies/sant-pathik-vidyalaya.md
- Organization: AyKa AI Technologies Pvt. Ltd.
- Contact: support@aykaai.in
- Last reviewed: 2026-07-23