Results
The customer service transformation illuminated a stark before-and-after story in the results:
Using AI to Overhaul Customer Support for a $9B HR Platform—Without Scaling Headcount
AI-powered automation transformed customer support for a leading HR software platform, enabling 24/7 coverage, faster response times, intelligent ticket resolution, and scalable operations without adding significant support headcount.
Challenges
Growth is exciting—but hard to sustain and scale when it overwhelms your support systems. The support model hadn’t failed. It had just never been built for this.
That was the reality facing a leading HR software company valued at more than $9 billion and serving more than 500,000 businesses. The thriving SaaS platform for payroll, benefits, and more for small-and-medium businesses had grown rapidly, which had fueled its success, but the company’s customer support infrastructure was struggling to keep pace.
From the outside, everything looked like a success story. Internally, however, customer support was under increasing pressure.
- Ticket volumes were surging
- Agents were overwhelmed
- Response times were creeping up
- Customer satisfaction scores were beginning to decline
The primary problem? Nearly every step of support remained manual, from routing and triage through response and resolution. Urgent requests couldn’t be distinguished from routine inquiries, easy fixes weren’t automated, and the company had little visibility into what the team was dealing with each day.
The support model had been built for a much smaller organization. As the business scaled, it became clear that incremental improvements wouldn’t be enough. Patching the existing model wouldn’t solve the problem—the entire approach needed to be reimagined, with AI at the center.
Facing the usual people-related constraints, the company leaders knew effective scaling depended on an AI-backed solution.
But recognizing that and executing it are two different things. The company needed a partner who could bridge vision and execution—building AI solutions designed for real-world scale, not proof-of-concept. That’s where Riveron came in.
How we helped
Riveron partnered with the company to rethink support—not as a cost center, but as a strategic differentiator.
Rather than layering AI onto existing processes, we helped reimagine the entire support ecosystem, embedding intelligence across email, voice, chat, and case management.
Built on AWS and seamlessly integrated with Salesforce, the solution leveraged a multi-layer AI architecture designed to handle volume intelligently across every support channel. An API layer ingests cases from multiple sources, while orchestration capabilities, document processing, and an LLM gateway route requests to the most appropriate AI model—whether OpenAI or Gemini—based on the task at hand.
The approach was simple in principle, but powerful in execution:
Let AI handle the volume, so humans can focus on value.
Here’s what that means in practice:
- Email
The system reads incoming emails, understands customer intent, and either resolves issues automatically or routes them to the right agent based on customer type, priority, and agent bandwidth. Follow-up cases are also automatically resolved. - Voice
A context-aware AI voice assistant handles inbound calls after hours, engages customers through natural conversation, and escalates to a human agent only when necessary, delivering 24/7 coverage without 24/7 staffing. - Chat
Agents handling live chat interactions receive real-time guidance from an AI assistant pulling from the knowledge base, surfacing recommended responses and next-best actions without interrupting the conversation. - Salesforce intelligence
AI-powered predictions through Agatha flag high-priority cases using sentiment analysis before issues escalate. Agents gain immediate access to case history, interaction summaries, and recommended responses, allowing them to act faster and more effectively. - Tax notice automation
Tax notice cases are automatically processed and resolved, regardless of whether the information arrives in structured forms, varied formats, or unstructured documents—eliminating a traditionally manual and time-consuming process.
Transforming Every Customer Touchpoint
- Email is Now Self-Resolving
AI now reads, understands, and resolves a significant portion of incoming customer inquiries automatically. More complex cases are intelligently routed based on priority, customer type, and agent capacity. - Voice is Always Available
A conversational AI assistant manages after-hours calls, delivering natural interactions and escalating only when necessary.
Result: 24/7 support without 24/7 staffing. - Chat is Agent-Augmented
During live conversations, AI provides real-time guidance, surfacing the best responses and recommended next actions so agents can focus on the customer rather than searching for answers. - Case Management is Predictive
AI-driven insights identify urgency through sentiment analysis, provide contextual summaries, and recommend responses—effectively turning every agent into a higher-performing agent. - Complex Workflows are Now Automated
Even manual processes such as tax notice handling are now processed end-to-end by AI across both structured and unstructured data.
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Performance Improvement
CRM
Data and Analytics
ERP System Selection
We help companies before, during, and after the audit. Riveron alleviates the burden on your team—enabling you to meet audit deadlines, identify accounting inefficiencies, and accelerate strategic improvements post-audit.
100%
after-hours voice coverage, with only 14% of calls requiring escalation to a human agent
65%
of incoming tax notices resolved by AI with no human involvement
20%
of customer follow-up emails automatically resolved before reaching an agent
40%
reduction in agent response times to customer queries
30%
improvement in first-call resolution through more effective routing
48.6%
deflection of volume from the incoming agent queue—
36% better than target
The AI layer now handles work that once required hundreds of agents, freeing human teams to focus on complex, high-judgment cases where they add the most value.
The biggest shift was in the mindset.
Through this AI-enabled solution, the company’s support evolved from reactive, manual, and volume-driven to intelligent, proactive, and experience-led.
And the transformation continues. With the core AI infrastructure in place, the next phase focuses on routing beyond priority and skill by incorporating customer intent and empathy signals to match each case with the right agent, not just the next available one.
The organization is also extending AI capabilities to legacy browser-based portals that lack API access, bringing intelligent automation to parts of the support ecosystem that have historically been the most difficult to modernize.
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