Delivering Layered AI + Human Support for Hypergrowth Platforms
Overview
Industry: Gaming / Rewards / Consumer Technology
Platform Type: Mobile-first rewards and engagement ecosystems
User Base: 100M+ users; predominantly Gen Z, mobile-first, high-velocity support expectations
Engagement Scope: Tier 1 & 2 Customer Support, Risk Operations, AI Strategy
Channels Supported: Chat, Email, SMS, WhatsApp, Telegram
Operating Environment: High-volume, fraud-sensitive, payout-driven ecosystem
Core Challenge: Scaling trust, support, and risk operations alongside explosive growth
Among the platforms Hugo supports in this category, this case study focuses on one engagement.
The Client’s platform lets users earn money through gaming, surveys, and app engagement, with instant payouts via PayPal, crypto, and gift cards. It ranks among the most-downloaded consumer rewards apps globally, with a user base skewing heavily Gen Z.
The Challenge: Scaling Support + Risk + Trust Simultaneously
Support Gaps: Response times had stretched to 72 hours – eroding trust in a platform built on instant gratification. Users expected near-instant resolution across chat, WhatsApp, Telegram, and social.
Risk Complexity: As the platform scaled, so did the sophistication and volume of fraud, abuse, and payout disputes. Tier 2 support increasingly involved account verification, fraud review, and edge-case adjudication requiring contextual judgment and pattern recognition, not just scripted responses.
AI Limitations: The Client had already invested in AI-powered deflection tools for FAQs and simple ticket handling, but those systems struggled with rewards-specific edge cases, including payout disputes, verification workflows, and offer-wall escalations. These edge cases frequently required human intervention, widening the gap between automated resolution and operational reality.
The Client needed a partner at the intersection of support, risk, and AI strategy – one who could work alongside their engineering team, not just execute tickets.
Why Hugo
Deep AI operations background: Direct experience operating AI systems at scale, including annotation workflows, model feedback loops, AI QA, and operational tuning. This allowed the team to contribute not just to support execution, but to the design and optimization of the Client’s broader AI strategy.
Risk and T&S capability: Hugo already operated trust and safety, fraud review, and risk-adjacent workflows for other Clients and understood that on platforms handling real money, support and risk are the same conversation.
Specialized Talent Profiling: Hugo’s proprietary talent methodology helps identify talent aligned to specific operational environments. For this engagement, Hugo focused on digitally native agents who could match the communication style and speed Gen Z users expect.
Proven Ability to Scale Rapidly: Hugo had an established track record of scaling operational teams in compressed timeframes while maintaining performance across complex workflows.
The Solution: A Layered AI + Human Model
Hugo worked alongside the Client’s product engineering team to extend what was already in place, adding capability where gaps existed and collaborating on net-new solutions where no off-the-shelf tool could do the job.
Layer 1: Optimizing Existing AI Deflection:
The Client already operated multiple layers of LLM-based ticket deflection ahead of human support. Hugo worked alongside the Client to optimize performance across these systems, improving routing accuracy, identifying resolution gaps, and reducing unnecessary escalation into human queues.
Layer 2: Agentic AI for complex ticket resolution:
Hugo partnered with the client’s engineering team to develop an advanced agentic AI solution capable of resolving up to 80% of tickets escalated past the deflection layer. The solution operates through the same interfaces as human agents, enabling rapid deployment without deep backend integrations or changes to existing access controls.
Layer 3: Tiered Support Built for Gen Z
| Tier | Focus | Approach |
| Tier 1 | Speed & resolution | Dedicated team trained on platform workflows (payout processes, & user engagement patterns), selected via HugoSphere for strong digital fluency, communication speed, and alignment with the expectations of a predominantly Gen Z user base. |
| Tier 2 | Risk-adjacent support | Specialized agents operating at the intersection of CX and risk, handling payout disputes, fraud-flagged accounts, and edge cases requiring pattern recognition and judgment. |
| Premium | Supporting high-value users | Dedicated premium support layer staffed by top-performing agents with additional training in complex dispute resolution, proactive account management, and high-priority escalation handling. |
The Outcome
“We were looking for a partnership to help us, and Hugo delivered. I’ve worked with many partners before, but the Hugo team has not just brought professionalism, but personality. Hugo has become a natural extension of our company.”
— Head of Support and Risk Mitigation
Similar Work Hugo Does
- Trust & safety and risk operations for consumer platforms
- AI deployment, tuning, and layered deflection optimization
- Agentic AI development alongside client engineering teams
- UI-based automation for CX and operational workflows
- Judgment-heavy support operations for high-growth platforms
- Premium and escalation-focused support environments
- Rapid operational scaling across complex workflows
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