August 11, 2025
5 min read
nojitter.com
Avaamo Introduces Task-Specific AI Agents to Revolutionize Customer Experience
Platform-specific AI agents with prebuilt capabilities—service, ordering, billing—are increasingly common in the agentic AI space. On Thursday, August 7, Avaamo released new CX Agents designed for tech support, order management, billing and financial services, sales and product expertise, and booking and scheduling. These AI agents come with prebuilt capabilities tailored for specific tasks. For example, the order management agent, anthropomorphized as “Manish,” specializes in order tracking, managing returns, and handling shipping changes. Avaamo’s five new AI agents build on previous releases earlier in 2025. In April, the company launched Workplace agents such as Faith for IT support, Grace for HR issues, Grant for procurement, and James for talent acquisition and hiring. In March, Healthcare agents were introduced, including Ava for scheduling, Aaron for payment processing, Amber for benefits explanations, and Alex for accessing lab reports. All these AI agents are built on the Avaamo Agentic Platform, which provides:- Prebuilt prompts and a low/no-code Agent Studio for creating and customizing agents
- Connectors to an organization’s structured and unstructured data sources
- Prebuilt integrations with platforms like ServiceNow, Salesforce, SAP, Microsoft, NiCE, Slack, Mitel, Cisco, Genesys, and Five9
- An Orchestrator function to coordinate activities among multiple AI agents
- A trust architecture to secure sensitive and private data Additionally, prompts are grounded on enterprise data with access controls ensuring agents perform only authorized actions.
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Industry Context and Insights
Avaamo’s platform approach offers enterprises a comprehensive solution for agentic AI capabilities, effectively turning “labor into software,” as Ram Menon, CEO & Co-founder of Avaamo, describes it. This vision aligns with other vendors like Salesforce, which refers to “digital labor,” and ServiceNow, which uses the term “digital workforce.” These AI agents aim to augment and potentially replace certain human labor functions. Most AI agent platforms include prebuilt agents that can be used as-is or customized. However, these agents must be grounded in company data and constrained in their actions. Coordination among agents within a platform is managed by an orchestrator agent. Cross-platform agent collaboration, such as between Avaamo agents and those from other vendors, requires both an orchestrator and standardized communication protocols. Emerging standards like the Agent2Agent (A2A) Protocol and the Model Context Protocol (MCP) are addressing these challenges.Frequently Asked Questions (FAQ)
Avaamo's AI Agents
Q: What are Avaamo's new CX Agents? A: Avaamo's new CX Agents are task-specific AI agents with prebuilt capabilities designed to revolutionize customer experience in areas like tech support, order management, billing, financial services, sales, and booking/scheduling. Q: Can you give an example of a task-specific AI agent? A: Yes, Avaamo's Order Management agent, named "Manish," specializes in tasks such as order tracking, managing returns, and handling shipping changes. Q: What other types of agents has Avaamo released? A: Avaamo has previously released Workplace agents for IT support, HR, procurement, and talent acquisition, as well as Healthcare agents for scheduling, payment processing, benefits explanations, and lab report access. Q: On what platform are these AI agents built? A: All of Avaamo's AI agents are built on the Avaamo Agentic Platform. Q: What are the key components of the Avaamo Agentic Platform? A: The platform includes a low/no-code Agent Studio with prebuilt prompts, connectors for data sources, integrations with major enterprise platforms, an Orchestrator for multi-agent coordination, and a trust architecture for data security.Industry Trends in AI Agents
Q: What is the industry trend regarding platform-specific AI agents? A: Platform-specific AI agents with prebuilt capabilities for tasks like service, ordering, and billing are becoming increasingly common in the agentic AI space. Q: How do companies like Salesforce and ServiceNow refer to AI agents augmenting human labor? A: Salesforce refers to "digital labor," and ServiceNow uses the term "digital workforce" to describe how AI agents augment and potentially replace certain human labor functions. Q: What challenges exist in cross-platform agent collaboration? A: Cross-platform agent collaboration requires an orchestrator and standardized communication protocols. Emerging standards like the Agent2Agent (A2A) Protocol and the Model Context Protocol (MCP) are being developed to address these challenges.Crypto Market AI's Take
Avaamo's introduction of task-specific AI agents highlights a significant trend in the broader AI landscape, mirroring the advancements we track in the cryptocurrency and blockchain sectors. Just as Avaamo is creating specialized agents for customer experience, the crypto market is seeing a rise in AI-powered tools and agents designed for specific financial tasks. These range from sophisticated trading bots that analyze market data to AI assistants that help individuals manage their personal crypto portfolios. The concept of "labor into software" is highly relevant here, as AI agents in finance aim to automate complex processes, improve efficiency, and manage risk, much like Avaamo's approach. For businesses looking to leverage AI in their operations, understanding these specialized AI agents and their underlying platforms is crucial. Our platform, AI Crypto Market, provides in-depth analysis of these AI-driven trends within the financial sector, offering insights into how AI is reshaping everything from customer service to market analysis. We also explore the practical applications of AI in creating more intelligent and accessible financial tools, such as our own AI-powered trading bots that aim to optimize investment strategies.More to Read:
Source: Originally published at No Jitter on August 11, 2025.