Category: Platforms & Products Built

AI assistant for next-generation HR shared services conceptualized and leading development.

Introduction

As organizations embraced digital transformation, HR shared services were under increasing pressure to deliver faster, more personalized support while managing growing employee expectations. Traditional service models relied heavily on manual processes, fragmented knowledge bases, and repetitive support requests, limiting both efficiency and the employee experience. Aidosol envisioned a new approach, an AI-powered assistant that could transform how employees and HR teams interact.

The Challenge

HR service teams spent significant time responding to repetitive employee queries, navigating multiple systems, and manually retrieving policies, payroll information, and HR documents.

Organizations faced several challenges:

• High volumes of repetitive HR support requests
• Information scattered across multiple systems and knowledge repositories
• Slow response times and inconsistent employee experiences
• Limited self-service capabilities
• Increasing operational costs as organizations scaled

Businesses needed an intelligent digital assistant that could simplify employee interactions while improving service efficiency.

Why It Was Built

Aberto was conceived as an AI-powered HR assistant designed to provide employees with instant, accurate, and context-aware support across HR shared services.

Rather than functioning as a simple chatbot, Aberto was designed to understand employee intent, retrieve information from multiple enterprise systems, automate routine HR processes, and assist HR teams with faster case resolution.

The vision was to create an intelligent digital colleague that improves both employee experience and operational efficiency.

My Role

I conceptualized Aberto and continue to lead its product vision, functional design, and development strategy. Working closely with business stakeholders, HR professionals, and technology teams, I defined the platform’s capabilities, user experience, AI workflows, and roadmap to create a scalable AI assistant tailored for modern HR shared services.

Problem It Solves

Aberto transforms HR service delivery by providing employees and HR teams with a single AI-powered interface for everyday HR interactions.

The platform enables organizations to:

• Automate responses to routine HR enquiries
• Provide 24/7 employee self-service
• Retrieve information from multiple HR systems through a single interface
• Guide employees through HR processes and policies
• Reduce manual workload for HR service teams
• Improve response times and service consistency
• Enhance employee experience through conversational AI

Lasting Value

Aberto represents the next generation of HR shared services, where AI augments human expertise rather than replacing it. By combining conversational AI, intelligent automation, and enterprise knowledge, the platform helps organizations deliver faster, smarter, and more scalable HR services while enabling HR teams to focus on higher-value work.

As hiring volumes increased, recruiters and hiring managers struggled to balance speed with quality. Manual interview scheduling, inconsistent evaluations, and lengthy screening processes slowed recruitment while making it difficult to provide a consistent candidate experience. Procloz envisioned an AI-powered interview platform that could help organizations scale hiring without compromising assessment quality.

The Challenge

Traditional interview processes were resource-intensive and often inconsistent across hiring teams.

Key challenges included:

• High recruiter workload for interview coordination
• Inconsistent candidate evaluations
• Delays in shortlisting qualified candidates
• Limited standardization across interview panels
• Difficulty scaling recruitment during high-volume hiring
• Poor visibility into candidate assessment data

Organizations needed a smarter, technology-driven approach to improve recruitment efficiency and decision-making.

Why It Was Built

IIPRO was developed as a white-labelled AI-powered interview platform that enables organizations to automate and standardize the interview process while delivering a branded candidate experience.

The platform leverages AI to conduct structured interviews, capture candidate responses, generate assessment insights, and support recruiters with data-driven hiring decisions, helping organizations recruit faster and more consistently.

My Role

I led the product vision, business requirements, and platform strategy for IIPRO, working with recruitment, product, and engineering teams to design AI-driven interview workflows, define assessment capabilities, and deliver a scalable platform that organizations could customize under their own brand.

Problem It Solves

IIPRO modernizes recruitment by automating and standardizing candidate assessments.

The platform enables organizations to:

• Conduct AI-assisted structured interviews
• Standardize candidate evaluations across hiring teams
• Reduce recruiter effort through interview automation
• Generate data-driven candidate assessment insights
• Improve hiring consistency and decision quality
• Deliver a white-labelled recruitment experience
• Scale hiring across multiple roles and locations

The result is a faster, more efficient, and more objective recruitment process.

Lasting Value

IIPRO transformed traditional interviewing into an intelligent, AI-enabled recruitment experience. By combining automation, standardized assessments, and actionable hiring insights, the platform helps organizations improve recruitment quality, accelerate hiring decisions, and build scalable talent acquisition processes for future growth.

Internal EOR onboarding platform (mini-HCM) digitizing the employee lifecycle.

As Procloz expanded its Employer of Record (EOR) services, managing employee onboarding and lifecycle activities across multiple clients became increasingly complex. Many HR processes were still handled through emails, spreadsheets, and disconnected systems, resulting in delays, limited visibility, and inconsistent employee experiences. The organization needed a digital platform that could streamline the entire employee journey while supporting the unique requirements of EOR operations.

The Challenge

Managing employees across different clients, countries, and compliance requirements required significant manual coordination.

Key challenges included:

• Manual onboarding and document collection
• Disconnected employee records across multiple systems
• Limited visibility into onboarding progress
• Inconsistent employee experiences
• Administrative effort across the employee lifecycle
• Difficulty scaling EOR operations efficiently

The business required a centralized platform to digitize and standardize employee management from hire to exit.

Why It Was Built

EVYA was developed as an internal HCM and EOR platform to digitize the complete employee lifecycle, from onboarding and document management to employee records and HR workflows.

The platform was designed to simplify EOR operations, reduce manual effort, improve compliance, and provide HR teams with a single system to manage employees throughout their employment journey.

My Role

I led the product vision, business requirements, and platform design for EVYA, working closely with HR, operations, product, and technology teams to define user journeys, prioritize features, and deliver a scalable platform tailored to the operational needs of an EOR business.

Problem It Solves

EVYA centralizes employee lifecycle management into a single digital platform, enabling organizations to:

• Digitize employee onboarding and offboarding
• Manage employee profiles and HR records
• Automate document collection and verification
• Standardize HR workflows across clients
• Track onboarding progress in real time
• Improve compliance and operational visibility
• Reduce manual administration across EOR operations

The platform simplifies employee management while enabling HR teams to scale operations more efficiently.

Lasting Value

EVYA established a digital foundation for Procloz’s EOR operations by replacing fragmented manual processes with an integrated employee lifecycle platform. It improved operational efficiency, enhanced the employee onboarding experience, strengthened compliance, and created a scalable solution capable of supporting future growth across clients and geographies.

Automated payroll validation engine reconciling input-vs-output data within seconds.

As payroll operations scaled across multiple clients, validating payroll data became increasingly complex and time-consuming. Payroll teams spent countless hours performing manual checks, comparing reports, and identifying discrepancies before payroll could be processed. These repetitive activities not only delayed payroll cycles but also increased the risk of costly errors. Procloz needed a smarter, automated approach to ensure payroll accuracy while improving operational efficiency.

The Challenge

Payroll validation relied heavily on manual reviews and spreadsheet-based comparisons, making the process difficult to scale.

Key challenges included:

• Time-consuming manual payroll validations
• High risk of human error
• Difficulty identifying payroll anomalies quickly
• Delays in payroll processing
• Inconsistent validation across clients
• Limited visibility into payroll exceptions

The business needed an intelligent validation engine that could automate payroll quality checks before payroll execution.

Why It Was Built

i-Check was developed as an automated payroll validation engine to verify payroll data, detect discrepancies, and streamline payroll quality assurance before processing.

By automating complex validation rules and exception reporting, the platform significantly reduced manual effort while improving payroll accuracy, consistency, and compliance across clients.

My Role

I led the concept, business requirements, and solution design for i-Check, collaborating with payroll, operations, and technology teams to define validation logic, automation workflows, and reporting capabilities that transformed payroll quality assurance into a faster and more reliable process.

Problem It Solves

i-Check automates payroll validation by intelligently reviewing payroll data before processing.

The platform enables organizations to:

• Automate payroll validation checks
• Detect payroll anomalies and exceptions
• Compare payroll changes across pay periods
• Reduce manual quality assurance effort
• Improve payroll accuracy and consistency
• Accelerate payroll processing timelines
• Strengthen compliance and audit readiness

The result is a faster, more accurate, and scalable payroll validation process.

Lasting Value

i-Check transformed payroll validation from a manual, spreadsheet-driven activity into an intelligent automated process. By improving payroll accuracy, reducing operational risk, and accelerating payroll delivery, it enabled payroll teams to focus on exception management and strategic value rather than repetitive manual verification.

Digital Travel & Expense platform launched from idea to market within 12 months.

Managing corporate travel and employee expenses was often a slow, manual process involving spreadsheets, paper receipts, multiple approvals, and disconnected financial systems. Organizations struggled with poor visibility into spending, delayed reimbursements, and compliance challenges. Procloz recognized the need for a modern, digital-first platform that could simplify expense management while giving businesses greater control over corporate spending.

The Challenge

Employees found expense reporting time-consuming, while finance teams spent significant effort validating claims, enforcing policies, and processing reimbursements.

Common challenges included:

• Manual expense submissions and approvals
• Limited visibility into travel and expense spending
• Slow reimbursement cycles
• Policy violations and compliance risks
• Disconnected finance and payroll systems
• Inefficient reporting and audit processes

The organization needed a platform that could digitize the entire travel and expense lifecycle.

Why It Was Built

COSTEN was built to provide an end-to-end digital Travel & Expense (T&E) solution that streamlined expense reporting, automated approval workflows, and provided real-time visibility into corporate spending.

The goal was to replace manual, paper-based processes with a user-friendly platform that improved employee experience while strengthening financial governance and compliance.

From concept to commercial launch, the platform was successfully brought to market within just 12 months.

My Role

I led the product strategy and end-to-end delivery of COSTEN, from concept validation and business case development to product design, cross-functional execution, and go-to-market launch. I worked closely with business, technology, and product teams to define the platform roadmap and deliver a scalable fintech solution within an accelerated timeline.

Problem It Solves

COSTEN digitizes the entire travel and expense process, enabling organizations to:

• Automate expense submissions and approvals
• Digitize receipt capture and expense tracking
• Enforce corporate travel and expense policies
• Accelerate reimbursement cycles
• Improve financial visibility through real-time dashboards
• Simplify compliance and audit readiness
• Integrate expense data with finance and payroll systems

The platform reduces administrative effort while giving organizations greater control over employee spending.

Lasting Value

COSTEN transformed a traditionally manual business process into a modern digital experience. By launching a fully integrated Travel & Expense platform from idea to market in just 12 months, it enabled organizations to improve operational efficiency, strengthen financial governance, and provide employees with a faster, simpler, and more transparent expense management experience.

Transformed fragmented HR reporting into a real-time executive decision support system.

As Cubic continued to grow globally, workforce data became increasingly fragmented across HR, Payroll, Talent Acquisition, Learning, and Finance systems. Leadership had access to large volumes of data, but very little real-time insight. Reports were manually consolidated, often outdated, and difficult to use for strategic decision-making. The organization needed a single platform that could transform workforce data into actionable business intelligence.

The Challenge

Critical workforce information was scattered across multiple systems, making it difficult for executives to gain a holistic view of organizational performance.

Key challenges included:

• Disconnected HR and workforce data
• Manual reporting across multiple business functions
• Inconsistent workforce metrics
• Limited visibility into workforce trends
• Delayed executive reporting
• Difficulty making timely, data-driven workforce decisions

Leadership needed real-time visibility instead of historical reports.

Why It Was Built

EWIP (Enterprise Workforce Intelligence Platform) was developed to consolidate workforce data into a single executive intelligence platform.

The solution brought together information from HR, Payroll, Talent Acquisition, Learning, and Finance to provide leadership with real-time dashboards, predictive insights, and workforce analytics that supported strategic planning and operational decision-making.

My Role

I led the vision, business strategy, and development of EWIP by defining the workforce analytics framework, executive dashboards, KPI architecture, and cross-functional requirements. I collaborated with business and technology teams to deliver a platform that transformed workforce reporting into strategic decision intelligence.

Problem It Solves

EWIP provides a single source of truth for workforce intelligence, enabling organizations to:

• Monitor global workforce performance in real time
• Analyze headcount, hiring, and attrition trends
• Track workforce productivity and labour costs
• Measure recruitment and talent acquisition performance
• Support strategic workforce planning
• Deliver executive dashboards with actionable insights
• Enable data-driven workforce decisions across the enterprise

The platform replaces fragmented reporting with intelligent, real-time workforce analytics.

Lasting Value

EWIP transformed workforce reporting from a reactive administrative process into a strategic business capability. By providing executives with real-time visibility into workforce performance and trends, the platform enabled faster decision-making, improved workforce planning, and strengthened the alignment between people strategy and business objectives.

Predictive analytics framework for high-potential identification, engagement, and succession planning.

As Safeguard Global expanded rapidly across global markets, identifying and developing future leaders became a strategic priority. Traditional talent reviews relied heavily on manager assessments and annual performance evaluations, making it difficult to consistently identify high-potential employees across a growing international workforce. The organization needed a more objective, data-driven approach to talent management and succession planning.

The Challenge

Talent decisions were often based on historical performance rather than future potential, limiting the organization’s ability to build a strong leadership pipeline.

Key challenges included:

• Subjective identification of high-potential talent
• Limited visibility into succession readiness
• Difficulty predicting employee attrition
• Disconnected talent and performance data
• Reactive workforce planning
• Inconsistent talent development decisions across regions

Leadership needed predictive insights instead of retrospective reviews.

Why It Was Built

PTIF (Predictive Talent Intelligence Framework) was developed to combine workforce, performance, engagement, learning, and career data into a single predictive analytics framework.

The platform enabled HR and business leaders to identify future leaders, anticipate talent risks, strengthen succession planning, and make data-driven decisions about talent development and workforce planning.

My Role

I led the vision, framework design, and implementation strategy for PTIF by defining the predictive talent model, key workforce indicators, and analytics framework. I partnered with HR, business leaders, and technology teams to build a scalable solution that transformed talent management from intuition-based decisions to predictive intelligence.

Problem It Solves

PTIF enables organizations to make proactive talent decisions by providing insights into workforce potential and future leadership readiness.

The platform helps organizations to:

• Identify high-potential employees
• Assess leadership readiness
• Strengthen succession planning
• Predict employee attrition risks
• Prioritize talent development investments
• Measure engagement alongside performance
• Support strategic workforce planning with predictive analytics

The result is a more objective, data-driven approach to building future leadership.

Lasting Value

PTIF transformed talent management from an annual HR process into a continuous strategic capability. By combining predictive analytics with workforce intelligence, the framework helped Safeguard Global build stronger leadership pipelines, improve succession planning, reduce talent risks, and align people strategy with long-term business growth.

Project Secure platform automating the secure handling and processing of payroll files.

As Safeguard Global’s global payroll business expanded, payroll teams managed thousands of sensitive payroll files from clients across multiple countries. Files arrived through emails, shared folders, and different transfer methods, creating security risks, inconsistent processes, and significant manual effort. The organization needed a secure, standardized platform to automate payroll file handling while protecting confidential employee data.

The Challenge

Payroll operations depended on manual file collection, validation, and tracking before payroll processing could begin.

Common challenges included:

• Payroll files arriving through multiple channels
• Manual validation and file preparation
• Version control and missing file issues
• Security and compliance risks
• Delays in payroll processing
• Limited visibility into file status and audit history

As client volumes increased, these manual processes became difficult to scale while maintaining accuracy and compliance.

Why It Was Built

TalentIQ was developed to automate the secure receipt, validation, tracking, and processing of payroll files through a single centralized platform.

By replacing fragmented manual workflows with automated file management, the platform standardized payroll operations, strengthened data security, and significantly improved processing efficiency across global payroll teams.

My Role

I led the strategy, design, and delivery of TalentIQ, working closely with payroll, operations, and technology teams to define the automation framework, security standards, and end-to-end workflow. I drove the transformation from manual payroll file handling to a secure, scalable, and automated platform that improved operational efficiency and strengthened compliance across global payroll operations.

Problem It Solves

TalentIQ eliminated manual payroll file handling by providing a secure, automated workflow that enabled teams to:

• Securely receive payroll files from clients
• Validate file formats automatically
• Track files throughout the payroll lifecycle
• Maintain complete audit trails
• Improve data security and compliance
• Reduce manual processing and operational risk

The platform increased efficiency while ensuring payroll data remained secure, accurate, and fully traceable.

Lasting Value

TalentIQ established a standardized and secure payroll file management process across Safeguard Global’s global payroll operations. By automating one of the most critical steps in payroll delivery, it improved operational efficiency, strengthened compliance, reduced risk, and created a scalable foundation to support the company’s continued global growth.

MIS dashboard with real-time visibility into EOR, GEO, payroll and HR operations

As Safeguard Global rapidly expanded its Employer of Record (EOR), Global Employment Outsourcing (GEO), HR, and Payroll services across multiple countries, leadership struggled to gain a unified view of business operations. Critical information was spread across multiple systems, regions, and service lines, making it difficult to monitor performance, identify risks, and make timely decisions. The organization needed a single platform that could provide real-time visibility across its global operations.

The Challenge

Operational data existed in silos. Payroll, EOR, GEO, and HR teams each maintained their own reports, resulting in inconsistent metrics, manual reporting, and limited visibility for leadership.

Key questions remained unanswered:

• How are our global payroll and EOR operations performing today?
• Which countries or clients require immediate attention?
• Are SLAs being consistently achieved?
• Where are operational risks emerging?
• Which regions need additional support?

Without a centralized view, leadership spent more time gathering information than acting on it.

Why It Was Built

Cerebro was developed to create a single operational intelligence platform that consolidated data from Payroll, HR, EOR, and GEO operations into one real-time executive dashboard.

Rather than relying on historical reports, the platform enabled leadership to monitor live operational performance, track key business metrics, identify issues early, and make faster, data-driven decisions across global employment operations.

Gagan’s Role

Gagan led the strategy, design, and implementation of Cerebro, partnering with business and technology teams to define operational KPIs, standardize reporting, and deliver a centralized intelligence platform that became the executive command center for Safeguard Global’s global operations.

Problem It Solves

Cerebro eliminated fragmented reporting by providing a single source of truth for operational performance.

The platform delivered real-time visibility into:

• Global Payroll operations
• EOR and GEO service delivery
• HR operations and workforce metrics
• Client SLA and KPI performance
• Operational risks and compliance indicators
• Regional and country-level business performance

This enabled leaders to identify issues proactively, improve service delivery, and make informed decisions with confidence.

Lasting Value

Cerebro became the operational command center for Safeguard Global, transforming operational reporting into real-time business intelligence. It improved governance, increased operational transparency, accelerated executive decision-making, and established a scalable foundation for managing the company’s growing global EOR, GEO, HR, and Payroll business.