As enterprises increasingly combine AI agents with human employees to improve customer experience, Zenarate is expanding its executive leadership team to support the next phase of growth. The company has appointed Amy Lummus as Vice President of Marketing and Michael Sharelis as Vice President of Sales, reinforcing its focus on AI-powered frontline performance and enterprise customer experience transformation.

Artificial intelligence is rapidly changing how organizations engage with customers, but enterprise leaders are increasingly recognizing that sustainable customer experience depends on effective collaboration between AI systems and human employees. Reflecting this shift, Zenarate, a provider of AI Simulation Training and frontline performance solutions, has expanded its executive leadership team with the appointments of Amy Lummus as Vice President of Marketing and Michael Sharelis as Vice President of Sales.

The leadership expansion follows the launch of Evolve, Zenarate's broader Frontline Performance Platform, which is designed to help enterprises unify the performance of AI agents and human employees within a single operational framework. Rather than managing separate systems for workforce training, AI automation, and customer service, the platform aims to provide organizations with a connected approach focused on shared performance standards, continuous learning, and customer outcomes.

The appointments come as enterprises move beyond early-stage AI experimentation toward operational models where generative AI, intelligent virtual agents, and human representatives work together across customer-facing functions.

Enterprise Customer Experience Enters a New Phase

Over the past two years, customer service organizations have accelerated investments in AI-powered assistants, conversational AI, automation platforms, and intelligent routing technologies. While these tools have improved efficiency, many organizations now face a new challenge: ensuring that AI-driven interactions align with the same quality standards, compliance requirements, and customer expectations as human agents.

Zenarate's strategy reflects this broader evolution by positioning frontline performance as a unified discipline rather than treating AI and human workforce management as separate initiatives.

The company's platform combines AI simulation training, coaching, performance measurement, and operational insights to help organizations manage increasingly hybrid customer service environments.

According to Brian Tuite, Co-founder and CEO of Zenarate, enterprise organizations are shifting their focus from whether AI belongs in customer experience to how AI agents and human employees can collaborate effectively to deliver consistent customer interactions.

Leadership Expansion Supports Go-to-Market Growth

Amy Lummus joins Zenarate with more than 20 years of experience building marketing organizations for enterprise software companies. Her background includes developing revenue-focused go-to-market strategies that align marketing, product, sales, and customer success teams to accelerate pipeline growth.

Michael Sharelis brings extensive experience leading enterprise sales organizations across customer experience, contact center technology, and AI software markets. His experience scaling enterprise sales teams is expected to support Zenarate's continued expansion as organizations increase investment in AI-enabled customer engagement platforms.

The appointments strengthen both the company's commercial strategy and its ability to address growing enterprise demand for integrated customer experience technologies.

AI Alone Is No Longer the Competitive Advantage

Industry analysts increasingly argue that enterprise AI success depends less on deploying new technologies and more on integrating them into operational workflows.

According to Amy Lummus, organizations have reached a point where AI is no longer viewed as a standalone innovation. Instead, customer service leaders are seeking practical strategies that enable AI and human employees to work together while consistently delivering on brand expectations.

This perspective aligns with broader enterprise technology trends.

Rather than replacing human employees, many organizations are adopting hybrid workforce models in which AI automates repetitive tasks while human representatives focus on complex conversations, empathy, relationship management, and decision-making.

These hybrid operating models require new approaches to workforce training, performance management, governance, and quality assurance.

AI Simulation Training Gains Enterprise Relevance

Simulation-based AI training has emerged as an important category within enterprise learning and customer experience technology.

Instead of relying solely on classroom instruction or static e-learning, AI simulation platforms allow customer service representatives to practice real-world customer interactions within realistic virtual environments before engaging with live customers.

As AI agents become active participants in customer interactions, organizations are increasingly extending performance measurement across both digital and human workforces.

This creates opportunities for unified coaching, shared quality standards, and continuous optimization across contact centers and customer support operations.

Technology providers including Microsoft, Google, Salesforce, and Adobe continue expanding AI capabilities across customer engagement ecosystems, making interoperability between workforce management, AI automation, CRM, and customer experience platforms increasingly important.

Why It Matters for Enterprise Organizations

The leadership appointments highlight a broader shift occurring across enterprise customer experience strategies.

Organizations are moving beyond isolated AI deployments toward integrated operating models that combine AI simulation training, customer experience platforms, marketing technology, contact center software, and performance analytics into unified enterprise ecosystems.

According to Gartner, AI is becoming deeply embedded within customer service and employee experience platforms, with organizations increasingly measuring success through business outcomes rather than technology adoption alone. Forrester has similarly emphasized that AI delivers greater value when paired with workforce enablement, governance, and operational process redesign.

As enterprises continue investing in hybrid customer engagement strategies, platforms capable of aligning AI agents and human employees under consistent performance standards are expected to play an increasingly important role in improving customer satisfaction, operational efficiency, and long-term business performance.

Market Landscape

Enterprise customer experience is evolving from AI automation toward AI-human collaboration. Organizations are increasingly investing in simulation training, intelligent coaching, workforce analytics, and AI governance to ensure human employees and AI agents operate within unified performance frameworks. This shift is driving demand for integrated customer experience platforms that combine AI, CRM, learning technologies, and operational analytics. As enterprises modernize contact centers and digital service operations, unified frontline performance is becoming a strategic differentiator.

Top Insights

• Zenarate expanded its executive leadership team with new marketing and sales leaders to support enterprise demand for AI-powered frontline performance solutions.
• The company's Frontline Performance Platform helps organizations align AI agents and human employees through shared training, coaching, governance, and performance measurement.
• Enterprises are increasingly shifting from standalone AI deployments toward hybrid customer experience models that integrate AI automation with human expertise.
• Leadership appointments reinforce Zenarate's go-to-market strategy as businesses invest in AI simulation training and customer engagement technologies.
• The announcement reflects growing demand for operational frameworks that unify AI, workforce performance, and customer experience management.

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