Individual Project Two for weeks 7 and 8
2
Transforming Microsoft HR through an Integrated AI-Enabled HRIS Ecosystem
Isdory Lyamuya
DeVry University
HRM530: Human Resources and Technology
Dr. Jill Okolita
November 9, 2025
Transforming Microsoft HR through an Integrated AI-Enabled HRIS Ecosystem
1.
Introduction
a. Consulting engagement to evaluate Microsoft Corporation’s complex HR technology landscape and recommend an integrated HRIS ecosystem that elevates HR from administrative support to a strategic analytics and workforce planning partner.
2.
Company Demographics
a. Global technology leader on the Fortune 100 list with a large, distributed workforce, multiple business units, and a mix of corporate, engineering, sales, and support roles operating across many countries with diverse regulatory environments.
3.
Current HR Systems Inventory
a. A combination of enterprise HR platforms, collaboration tools, learning and engagement applications, and people analytics solutions that operate in functional silos with overlapping capabilities and limited end-to-end integration.
4.
Current State Review
a. The assessment will evaluate the following:
i. General system usability
ii. Recruiting and onboarding flows
iii. Career development and learning.
iv. Rewards and performance processes.
v. Plans and total benefits.
vi. Payroll interfaces
vii. Time reporting
viii. Self-service
ix. Case management
x. Reporting
xi. People analytics maturity
b. Key issues include:
i. Duplicate data entry
ii. Inconsistent user experience
iii. Slow insights
iv. Fragmented governance.
5.
Current State Diagram
a. Develop a visual map of data flows among core HR, talent, collaboration, and analytics tools to identify integration gaps and manual touchpoints.
6.
Requirements
a. Define high-level requirements for a unified HRIS suite with modules for core HR, payroll, talent acquisition, onboarding, performance, learning, compensation, benefits, time, case management, analytics, and AI-enabled self-service embedded in Microsoft 365, Teams, and Viva experiences.
7.
Research and Technology Landscape
a. Review best HRIS and people experience solutions, AI copilots, and people analytics, based on the Microsoft security, compliance, scalability, and employee experience criteria, such as aggregate cost of ownership, projected productivity, and accuracy improvements.
8.
Recommendation
a. Offer a proposed future state HR ecosystem focused on a single source of reality of people data, AI-based self-service, and advanced analytics with a stepwise implementation plan that builds on the current Microsoft technologies where possible.
9.
Assumptions and Expected Outcomes
a. Suppose executive sponsorship, global change management support, and investment capacity.
b. Expected outcomes include:
i. Faster decision-making
ii. Better employee experience
iii. Reduced manual effort
iv. Stronger compliance
v. A more business-oriented hr role straight to the business
