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Building Job-Ready Google Pay Support
Talent with HTD Model

Building Job-Ready Google Pay Support Talent with HTD Model

AI Impact on Support Roles

With the rapid evolution of artificial intelligence (AI) and expanding digital ecosystems, customer expectations have transformed significantly across service environments. Today’s organisations are no longer focused solely on conventional graduates; instead, they increasingly demand digitally proficient, AI-aware, and highly adaptable professionals who can effectively function in technology-led, automation-driven operational settings.

From the perspective of small and medium enterprises (SMEs) and industries, this change shows a clear move towards preparing talent for the future, where support roles are changed by using data to make decisions, smart systems for interacting with customers, and ongoing training in digital skills.

As platforms like Google Pay scale rapidly, talent demand is increasingly shifting toward AI-enabled support professionals, digitally fluent customer experience teams, and tech-driven operations specialists.

  • AI-enabled support professionals.
  • Digitally fluent customer experience teams.
  • Tech-driven operations talent.

Meeting this demand requires a structured and strategic approach to talent creation.

Client Requirement

A Fortune 500 technology organization required the rapid onboarding of 120 job-ready professionals for Google Pay customer support operations in Gurgaon within a strict 45-day deployment timeline.

Who They Were Targeting :

  • Entry-level talent pool with up to 1 year of experience.
  • Business-ready communication with zero mother tongue influence.
  • Robust understanding of digital payment workflows.
  • Proficient in handling International customer support with confidence.

The Real Challenges on the Ground :

This assignment wasn’t a routine hiring mandate; time was limited, and the challenges were significant.

  • Perception Gap: Fresh candidates rarely viewed support roles as a viable long-term career track.
  • Compensation Barrier: Entry-level compensation was relatively modest.
  • Candidates sought more than a job: They needed visibility into long-term growth, career stability, and association with a globally trusted, enterprise-grade brand.
  • Learning Adoption Resistance: Pre-joining training before the first paycheque often caused candidate anxiety, requiring continuous engagement, structured onboarding support, and transparent communication to maintain retention.
  • Standards Were Strict: Strict communication benchmarks were enforced as a non-negotiable quality gate, with zero deviation allowed before progression.

How Mazenet Solution Closed the Talent Gap: Strategic Plan Breakdown:

The initial phase focused on a structured skill-gap analysis, aligning job requirements with fresher competencies to define a precise, outcome-driven training roadmap.

Engineered on dual competencies with domain expertise and communication proficiency, the programme ensured role-mapped learning outcomes. Using an LMS-led delivery, simulation-based CX scenarios, and continuous performance analytics, it enabled scalable, assessment-driven talent readiness with early gap remediation.

Phase 1 – Sourcing :

Finding the Right People Comes Before Everything:

High-impact outcomes are rooted in precision talent sourcing. Rather than relying on conventional job postings, Mazenet engineered a structured, multi-channel talent acquisition pipeline to identify high-potential candidates with the right mindset, learning agility, and scalability for rapid growth.

Campus & Institute Partnerships

We established direct partnerships with colleges and universities across India to build a scalable pipeline of high-potential fresher talent, delivering career-ready graduates equipped for tech-enabled roles and aligned with evolving industry hiring demands.

Multi-Channel Outreach

Our specialised talent acquisition team activated multi-channel sourcing and leveraged curated talent databases, employee referral ecosystems, and high-interest digital communities to rapidly build a scalable, high-volume candidate pipeline without relying on inbound application cycles.

Trainability-focused candidate selection

We moved beyond resume-based screening to evaluate candidate trainability, learning agility, and role alignment, identifying individuals with the potential to evolve into high-performing support professionals. This capability-first approach significantly minimised hiring risks and improved downstream performance outcomes.

Talent Pipeline Overview :
  • Total Profiles Sourced - 600+
  • Portals Used - 200+
  • Initial Screening - 140+

Phase 2 - Screening :

Only the most suitable candidates are selected

Volume without quality is noise. Every candidate went through a thorough assessment process, making sure that only those with high potential and who were ready for the job moved on to training, following top hiring standards and focusing on developing talent.

The Quality Filter

650+

Total Profiles Sourced

31%

Candidates Screened by Mazenet

70%

Shortlisted by Client for Training



Phase 3 - Capability Building :

25-Day Workforce Upskilling Program for Operational Excellence

This was not a traditional classroom-based intervention. Mazenet designed a live, role-aligned capability development programme around real-world job functions and operational workflows, rather than theoretical instruction.

Industry Expert

The program was led by a certified SME with more than 12 years of experience in communication coaching and digital skills training who has a proven track record of transforming hundreds of fresh graduates into deployment-ready support professionals across diverse enterprise environments.

Digital Payment Ecosystem

Participants gained a solid, hands-on understanding of how digital payment processes work, covering everything from starting a Google Pay transaction to finishing it, including how to handle problems that may arise. Complex concepts were simplified into real-world, job-relevant applications.

Live Platform Practice – Not Just Theory

80% of the programme was application-driven. Delivered via Mazenet’s LMS, learners engaged in real-world simulations, handling transaction queries, payment failures, and escalation workflows and ensuring Day 1 client readiness with zero operational surprises.

Continuous Performance Tracking via LMS

Each learner’s performance was continuously monitored via the learning management system, enabling real-time analytics to detect skill gaps early and implement targeted interventions well before deployment in the live client environment.


Phase 4 - Attrition Management :

Keeping People Engaged and Committed

Offer drop-offs remain a critical yet often underdiagnosed risk in high-volume hiring, where accepted candidates fail to onboard. Mazenet mitigated this risk through a structured engagement framework, ensuring continuous candidate touchpoints, clear communication, and sustained motivation from selection to joining.

Career Roadmap Visibility

Offer drop-offs remain a critical yet often underdiagnosed risk in high-volume hiring, where accepted candidates fail to onboard. Mazenet mitigated this risk through a structured engagement framework, ensuring continuous candidate touchpoints, clear communication, and sustained motivation from selection to joining.

Mentorship & Check-ins

Structured mentor- and coordinator-led touchpoints ensured continuous guidance, reinforcing candidate confidence and engagement across the hire-to-onboarding lifecycle.

Onboarding Handholding

All onboarding formalities, including documentation, compliance, and joining workflows, were systematically guided through a structured, step-by-step process, ensuring zero ambiguity and complete candidate support throughout the transition.


Phase 5 - Deployment :

Day One Ready. No Ramp-Up Chaos

Prior to client deployment, Mazenet conducted a rigorous readiness validation, ensuring each candidate met defined benchmarks in both performance outcomes and communication proficiency.

Mock Assessments Completed

  • Total Profiles Sourced - 600+
  • Communication Quality Re-evaluated.
  • Readiness Validated Against Client Benchmark.
  • Continuous Post-Joining Coordination Maintained.

The Outcome

Backed by 25+ years of domain expertise, we executed the client mandate with precision, meeting all defined timelines and delivery commitments.

This is what structured talent creation looks like when it works.
  • 120+ Professionals Successfully Deployed.
  • 45 Days from Sourcing to Deployment.
  • 80% Practical, Hands-On Learning Throughout.
  • Zero Onboarding Delays at Client Site.

Project Requirements:

This HTD requirement is from a Fortune India 500 Company

Project: G-Pay Customer Support Operations

Location: Gurgaon

Roles Filled: 120

Time-to-hire: 45 Days

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