# Slate

<table data-header-hidden><thead><tr><th width="246"></th><th></th></tr></thead><tbody><tr><td>Contact:</td><td>Please work directly with your assigned Account Executive and Solutions Consultant.</td></tr><tr><td>Released/Updated:</td><td>2025-07-24</td></tr></tbody></table>

### Introduction

This white paper outlines the strategic integration between ProcessMaker’s Transcript Credit Evaluation (TCE) engine and Slate Technolutions’ leading CRM and application management platform for higher education. The integration bridges Slate’s applicant data capabilities with ProcessMaker’s automated credit evaluation workflows, enabling institutions to streamline the credit evaluation process for transfer applicants, reduce decision timelines, and improve the enrollment experience.

### Objectives of Integration

* Seamlessly transfer applicant and transcript data from Slate to ProcessMaker
* Automate credit evaluation using institution-specific policies
* Deliver credit decisions back to Slate to inform admissions workflows
* Enhance communication with applicants and administrators through real-time updates

### Integration Approach

#### System Architecture

```
Slate CRM
   |
   | Webhooks / API (XML/JSON) / Secure File Transfer
   |
ProcessMaker TCE Engine
   |
   | Real-time Evaluation Logic & Result Generation
   |
Slate Database or External SIS (optional sync)
```

#### Workflow Overview

1. Application Submission: Applicants submit materials (including transcripts) through the Slate portal.
2. Data Transfer: Slate transmits transcript metadata and applicant data to ProcessMaker TCE via API calls or scheduled file exchange.
3. Evaluation: ProcessMaker TCE automatically parses transcript data, applies predefined institutional credit rules, and generates credit decisions.
4. Decision Sync: The credit evaluation outcomes are returned to Slate and attached to the applicant’s record.
5. Communication: Automated alerts are sent to applicants and admissions staff based on pre-configured triggers in Slate.

### Pseudocode Example

```
function process_applicant_transcript(applicant_id):
    transcript_data = slate_api.get_transcript(applicant_id)
    sanitized = validate_transcript(transcript_data)
    results = []
    
    for course in sanitized.courses:
        credit = apply_credit_rules(course)
        results.append(credit)
    
    sync_status = slate_api.upload_evaluation(applicant_id, results)
    
    if sync_status.success:
        notify_applicant(applicant_id)
        notify_admissions_team(applicant_id)
    
    return results


function validate_transcript(data):
    # Sanitize input, ensure required fields are present
    return cleaned_data


function apply_credit_rules(course):
    if matches_institutional_rules(course):
        return assign_credit(course)
    else:
        return deny_credit(course)
```

### Benefits of Integration

* Speed: Reduces transcript evaluation processing time from days to minutes.
* Accuracy: Ensures consistent credit decisions using standardized evaluation logic.
* Transparency: Integrates real-time credit evaluation updates into Slate for admissions visibility.
* Scalability: Supports batch transcript evaluations during peak admission cycles.


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