Key Takeaways:
- NiCE introduced CXone Mpower AI Agents to automate complete customer service workflows—from front-line interaction to backend fulfillment—via a no-code studio.
- Mpower Agents operate as either internal support (Copilot) or external self-service (Autopilot), powered by NiCE’s proprietary CX AI models and integration with CXone APIs.
- AWS services like Bedrock, Q, Nova LLMs, and SageMaker enhance orchestration, training, and contextual intelligence across customer operations.
NiCE has launched CXone Mpower AI Agents, a new generation of task-oriented, generative AI systems designed to handle complex customer experience workflows across the enterprise. Unlike typical chatbots that respond to requests and hand off to humans, Mpower AI Agents are built to handle real work—processing returns, approving requests, tracking orders, and resolving customer issues—across front, mid, and back-office functions.
The company also recently announced announced H&R Block, a leader in online and in-office tax preparation, is successfully transforming its customer service operations into a digital-first, AI-powered care organization with NiCE CXone Mpower.
At the heart of this rollout is the Mpower AI Studio, a no-code environment where users can identify automation opportunities, train agents, and deploy them in minutes. The studio leverages natural language inputs and a drag-and-drop interface to define the agent’s job, tone, escalation protocols, and integration endpoints—all without writing a single line of code.
According to Barry Cooper, President of NiCE’s CX Division, “There’s a big difference between AI that talks and AI that gets things done. Mpower AI Agents are engineered to do both—engage with customers and execute the work behind the scenes to drive real business outcomes.”
NiCE offers two main types of agents:
- Mpower Copilot: Built to assist internal agents by automating repetitive tasks, retrieving data from internal systems, and providing next-best-action recommendations.
- Mpower Autopilot: Designed to operate directly with customers, managing entire service journeys across channels, including voice, chat, and digital messaging.
Both agent types are embedded with NiCE’s Enlighten AI models, which include capabilities for sentiment analysis, compliance tracking, and behavior modeling. The platform also includes “experience memory,” enabling agents to learn from prior interactions and retain context across sessions.
To personalize interactions, users can apply what NiCE calls “vibe-coding”—a way to define an agent’s personality, tone, and style. This feature helps organizations match the voice of their brand across all customer touchpoints without needing technical staff to rewrite code or build separate flows.
Another key layer in the Mpower ecosystem is the Mpower Orchestrator. This component manages agent assignments, oversees execution, and ensures that all automation flows remain compliant, on-brand, and supervised. NiCE has made it clear that it’s avoiding a fully autonomous approach, instead embracing what it describes as “human-over-the-loop” control for all business-critical tasks.
NiCE’s integration with Amazon Web Services further strengthens the offering. Through AWS Bedrock and SageMaker, Mpower Agents gain access to large-scale language models and training capabilities. Amazon Q helps agents retrieve business data, while Nova LLMs bring in conversational and reasoning improvements. These integrations allow Mpower Agents to scale across departments and execute intelligent, context-aware tasks.
Maribel Lopez, Principal Analyst at Lopez Research, said the offering signals a step-change in customer service: “Mpower AI Agents are not just chatbots with a new skin—they’re purpose-built systems that connect front-end intelligence with backend execution, closing the loop on customer experience in a way most platforms haven’t achieved.”
NiCE is positioning Mpower as a solution for organizations looking to transition from static workflows and rule-based automation to adaptive, intelligent processes that evolve over time. By connecting directly with enterprise systems and customer-facing tools, Mpower Agents can eliminate handoffs, reduce error rates, and speed up resolution times.
From a deployment standpoint, NiCE claims the system can go live in days, not months, thanks to pre-built connectors and a modular design that avoids the complexity of traditional RPA systems or custom development.
CXone Mpower AI Agents come at a time when companies across industries are reevaluating how to meet rising customer expectations without significantly increasing headcount. As contact centers evolve into experience hubs, tools like Mpower promise to reduce operational costs while enhancing service quality.
With growing demand for automation that goes beyond scripted interactions, NiCE’s Mpower offering enters the market as a potentially significant player in AI-first customer service platforms—capable of acting, not just answering.
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Aside from his role as CEO of TMC and chairman of ITEXPO #TECHSUPERSHOW Feb 10-12, 2026, Rich Tehrani is CEO of RT Advisors and a Registered Representative (investment banker) with and offering securities through Four Points Capital Partners LLC (Four Points) (Member FINRA/SIPC). He handles capital/debt raises as well as M&A. RT Advisors is not owned by Four Points.
The above is not an endorsement or recommendation to buy/sell any security or sector mentioned. No companies mentioned above are current or past clients of RT Advisors.
The views and opinions expressed above are those of the participants. While believed to be reliable, the information has not been independently verified for accuracy. Any broad, general statements made herein are provided for context only and should not be construed as exhaustive or universally applicable.
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