The rapid evolution of Artificial Intelligence (AI) in recruitment is transforming traditional hiring processes, enabling organizations to enhance efficiency, streamline talent acquisition, and improve decision-making. This capstone paper explores the future integration and implementation of artificial intelligence (AI) in recruitment processes, using scenario building a technology foresight methodology. It provides a high-level examination of current AI-driven recruitment initiatives, challenges, and opportunities, envisioning plausible scenarios for AI adoption in talent acquisition practices within the next three to five years.

The study identifies critical drivers influencing AI integration in recruitment, including AI-driven automation, technological advancements, organizational readiness, cost implications, acceptance by HR professionals, and potential returns on investment (ROI). It highlights that while AI technologies have significantly enhanced efficiency in recruitment especially in high volume tasks such as resume screening, talent sourcing, and interview scheduling full scale AI adoption varies considerably due to differing levels of organizational readiness, cost considerations, and human acceptance.

Three distinct future scenarios were developed to explore future landscapes:

1. Full AI Takeover: Substantial automation across the recruitment lifecycle, significantly reducing human intervention, and improving operational efficiencies, but raising concerns about potential bias, transparency, and reliance on AI algorithms.

2. AI in Handcuffs: AI adoption occurs but faces strong organizational resistance and constraints, resulting in AI serving primarily as a supportive tool with considerable human oversight, thus leading to increased complexity and operational overhead.

3. Stuck in Transition: Organizations hesitant or unable to commit fully to AI adoption, relying heavily on traditional recruitment practices. This scenario results in higher recruitment costs, prolonged hiring cycles, and reduced competitiveness compared to AI-enabled peers.

The paper also proposes a grand scenario named "Augmented Intelligence in Hiring: The Best of Both Worlds" which envisions an optimal, balanced integration of AI and human driven recruitment. This scenario advocates AI's role as a complementary tool rather than a replacement, promoting improved hiring effectiveness, candidate experience, inclusivity, and sustainable Human-AI collaboration. The study further applies an ROI framework to demonstrate how HR professionals can justify the investment for AI driven recruitment tools and how AI-powered hiring can enhance operational efficiency, talent management, business insights, and people experience.

Key challenges highlighted by this study encompass issues related to technological implementation, cost justification, cultural acceptance, talent availability, and operational readiness. To address these challenges and effectively leverage AI's potential, strategic recommendations are offered around incremental AI integration, targeted training and upskilling of HR professionals, data-driven approaches for measuring AI success, vendor partnerships, and fostering a culture of continuous learning.

Drawing insights from global AI recruitment practices and success stories, this research provides a practical framework for HR leaders, organizations, and policymakers seeking to strategically integrate AI in recruitment processes to enhance efficiency, effectiveness, and competitive advantage in talent acquisition.

In this digital age, the Philippine banking sector has been increasingly pursuing its initiatives for digital transformation. With this, the need for mature risk management, specifically the Operational and Technology areas, is pivotal to the success of such business endeavors.

The aim of this study is to assess the current state of risk maturity level of a thrift bank, which may potentially influence future strategies, and facilitate in improving operational efficiency and resiliency, risk treatment, effective oversight function of risk management, and digital transformation.

In order to assess this, SWOT Analysis, PEST Analysis, Interview with the Chief Risk Officer and Head of Enterprise Risk, and conduct of survey to Risk Champions are used to better understand the Risk Maturity of Operational and Technology Risk in XYZ Thrift Bank where the study revealed that the bank’s Risk Maturity is at Level 3 (Defined) where risk management is integrated to the business processes, risk ownership is assigned and risk management activities are launched simultaneously.

As XYZ Thrift Bank moves toward digital transformation, the operational and technology risk management must be able to collaboratively function with the bank’s digital transformation initiatives in order to support the potential risks that may arise from the bank’s digital pursuits. A Technology Roadmap for Operational and Technology Risk Maturity aims to ensure that thrift banks can improve its level of risk maturity while navigating through the complexities of digital transformation by the enhancement of current operational and technology risk activities and practices, and adopting emerging technologies for risk automation processes and implementing continuous improvement on risk tools, evaluation and pro-active work on risk sources.

There has been an interest in implementing technologies to digitalize the business processes of Leopard Connectivity Business Solutions Inc. to improve the delivery of services leading to customer satisfaction improvements and an increase of subscribers. The study seeks to answer what methods the company must use to know the needed technologies it should implement; the possible scenarios the company may find themselves in the next five (5) years; and the type of technologies they must implement to improve their customer satisfaction and grow their current number of subscribers.

A combination of a scenario building and relevance trees analysis were used to identify the needed technologies that the company must implement. A technology stack for each scenario was then used to show the relationship between the future technologies and how they are connected to the company’s business processes. A scenario building activity was selected as it looked into future environmental trends, predictable variable, and uncertainties around the company. Scenario building provided multiple scenarios and strategies applicable to the company’s uncertain future. To help in the identification of needed technologies, a relevance trees analysis as used to break down the strategies from each scenario.

The method resulted into three (3) scenarios based on the support the company will get in their technology implementations. The scenarios resulted in future technology stacks with varying degree of automation and interconnectedness of business processes. A scenario of full automation must be aimed to greatly improve services that would improve customer satisfaction and grow the current number of subscribers.

This case study shifts its focus to URBN GYM's digital marketing strategies and the franchising model of a fitness center in Montalban Rizal. This study aims to analyze the gym's prevailing market and devise workable strategies to enhance corporate branding, define specific target markets, and focus on franchising as an avenue for further growth.

Using newer and existing technologies, URBN GYM seeks to enhance its marketing strategies, widen its clientele, and make its mark in the fitness scene as one of the premier fitness centers. The study assesses the gym's digital activities. It reveals the facility's digital shortcomings while seeking to introduce a gainful franchise outlook that focuses on maintaining brand consistency, quality, and adequate profits in all branches.

URBN GYM aims to boost its competitive advantage, gain more market space, and develop an expanding model through integrating technology, innovative modern marketing strategies, and franchising aspects. Since the gym strongly emphasizes customer experience and has the potential for much more significant growth, it is also likely to withstand competition in the ever-changing fitness
market.

This foresight study examines the future of website design agencies in the Philippines amidst the rise of artificial intelligence (AI). This study uses technology foresight scenario building as a methodology to explore various potential future outcomes, examining the interplay of key predictable variables (KPV) and critical uncertainties (CU) that will shape the industry’s future. These scenarios provide possible challenges and opportunities that website design agencies will face as they navigate the dynamic AI-driven technology landscape.

This paper highlights three possible scenarios that show the different effects of AI on the web design industry. The first scenario focuses on adapting to changing client expectations, emphasizing the importance of understanding client perspectives and economic factors. The second scenario explores how regulatory pressures and sustainability concerns will shape the industry’s development. The last scenario shows a seamless integration of AI in design, marketing, and human collaboration.

Based on the analysis, this paper suggests several strategic recommendations for website design agencies. These include implementing human-AI collaboration, investing in ethical AI usage, and prioritizing ongoing training and expertise development. The study recognizes that while AI will transform the website design industry, agencies will continue to play a critical role in delivering website solutions by effectively utilizing AI as a tool for innovation.