AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

AFP Habitat Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP Oracle PeopleSoft ERP SAP S/4 HANA ERP Financial ERP Financial Management n/a 2018 2018
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP Legacy SAP HCM (HR) Core HR HCM n/a 2014 2014
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Azure Language Understanding Intelligent Service (LUIS) ML and Data Science Platforms AI Development n/a 2018 2018
In 2018, AFP Habitat deployed Microsoft Azure Language Understanding Intelligent Service (LUIS) to power Habi, an intelligent assistant designed to provide affiliates with personalized and transparent support around the clock. The implementation is categorized under ML and Data Science Platforms and concentrated on conversational language understanding to support pension fund customer engagement. Microsoft Azure Language Understanding Intelligent Service (LUIS) was configured to provide core capabilities including intent classification, entity extraction, utterance management, model training, and publishing workflows. Models were tuned to recognize affiliate inquiries and map natural language inputs to service actions, enabling Habi to surface account information and guide routine transactions through automated conversational flows. The architecture used Azure-hosted LUIS runtime accessed by the Habi conversational interface across digital channels, enabling 24x7 availability for affiliates. Operational coverage targeted customer service and affiliate communications within AFP Habitat, with the assistant serving as the first line of interaction and escalating complex cases to human agents. Governance centered on iterative model retraining and intent review cycles driven by product and support stakeholders, with rollback and update controls in the published LUIS models. The project increased the level of customer satisfaction and delivered a more personalized and transparent 24x7 service for affiliates.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2018 2018
Cognitive Computing AI-Powered Application 2018 2018
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2016 2017
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2019 2019
Survey and Questionnaire Collaboration 2018 2018
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Enterprise Content Management Content Management 2015 2015
Web Content Management Content Management 2012 2012
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Marketing Analytics CRM 2018 2018
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IT Service Management ITSM 2018 2018
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2018 2018
Application Hosting and Computing Services IaaS 2014 2014
Cloud Storage IaaS 2020 2020
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2020 2020
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2019 2019
Web Application Firewalls (WAF) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at AFP Habitat
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by AFP Habitat Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD AFP Habitat Technographics

AFP Habitat is a Banking and Financial Services organization based in Chile, with around 1581 employees and annual revenues of $214.5 million.

AFP Habitat operates a diverse technology stack with applications such as SAP S/4 HANA, SAP HCM (HR) and Microsoft Azure Language Understanding Intelligent Service (LUIS), covering areas like ERP Financial, Core HR and ML and Data Science Platforms.

AFP Habitat has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP and Microsoft.

AFP Habitat recently adopted applications including Imperva Sonar in 2021, Amazon SES in 2020 and Amazon S3 in 2020, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of AFP Habitat’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates AFP Habitat’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete AFP Habitat technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.