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Higson serves as a sophisticated business rules engine designed to help organizations adeptly navigate complex decision-making and optimize rule-driven operations with quick execution times and a user-friendly interface crafted for business professionals. By separating business rules from application code, it allows users to configure product details, pricing models, and decision-making logic through a web-based Studio, which requires minimal programming expertise, thus reducing reliance on developers and accelerating market readiness. It comes equipped with advanced version control, an intuitive tree-structured rule editor, and validation tools, such as testers and mass testers, which guarantee thorough testing of modifications before implementation. The platform also boasts features for visual rule modeling, seamless integration with AI models, decision tables, and Groovy functions, while offering the capability to import and export data with Excel. Moreover, Higson supports integration with current systems through REST or Java APIs and safely stores configurations in commonly-used SQL databases. Its runtime engine is meticulously designed for real-time decision-making, efficiently handling thousands of API calls each second as it manages large datasets, thereby enabling organizations to swiftly adapt to shifting business demands. Ultimately, Higson significantly boosts operational efficiency and flexibility, empowering organizations to succeed in a constantly evolving landscape, and its comprehensive features position it as an essential tool for modern enterprises.
What is AutoEnrol?
AutoEnrol is a cutting-edge AI tool aimed at refining the university admissions process. This sophisticated language model proficiently evaluates a range of applicant documents, such as transcripts, degree certificates, English proficiency test scores like IELTS, TOEFL, and PTE, as well as passports and additional supporting documentation from over 100 countries and credentialing systems, boasting an impressive data extraction accuracy rate of 99.7%. The information gathered is subsequently evaluated against the university's customized admissions criteria, which are carefully programmed from the official handbook into a deterministic logic engine. Although the AI handles the document analysis, the ultimate admissions decisions are based on the institution's established guidelines. Each proposed outcome is produced in under a minute and includes a detailed audit trail for rule verification, allowing evaluators to scrutinize and validate every recommendation prior to finalizing decisions. The evaluation criteria cover a range of factors, including academic qualifications, English language skills, equivalencies between countries, and conditional admission pathways. Additionally, every decision is linked back to its respective source document, ensuring a transparent evaluation process. AutoEnrol holds ISO 27001 certification and provides data residency choices in regions like Australia, Europe, the UK, and the US, while also integrating smoothly with current Student Information Systems (SIS) and Customer Relationship Management (CRM) software. This revolutionary solution not only boosts operational efficiency but also fosters fairness and consistency within the admissions framework, paving the way for a more equitable selection process. With its combination of advanced technology and adherence to rigorous standards, AutoEnrol sets a new benchmark in admissions management for educational institutions.
Media
No images available
Integrations Supported
Amazon Web Services (AWS)
Apache Groovy
Azure SQL Database
Java
Microsoft Excel
MySQL
ONNX
Oracle Database
PostgreSQL
Integrations Supported
API Availability
Has API
API Availability
Pricing Information
$10,000 per year
Pricing Information
Price available upon enquiry
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
Decerto
Date Founded
2006
Company Location
Poland
Company Website
www.higson.io
Company Facts
Organization Name
AutoEnrol
Date Founded
2023
Company Location
United Kingdom
Company Website
www.autoenrol.ai
Categories and Features
Business Rules Management Systems (BRMS)
Not specified
Categories and Features
Admissions and Enrollment
Not specified