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 <updated>2026-06-25T13:01:52+02:00</updated>
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  <entry>
   <title>MoEngage Acquires Aampe to Advance AI-Powered Customer Engagement</title>
   <updated>2026-06-24T17:00:00+02:00</updated>
   <id>https://www.dailycsr.com/MoEngage-Acquires-Aampe-to-Advance-AI-Powered-Customer-Engagement_a5901.html</id>
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   <published>2026-06-24T16:56:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/97111516-67660907.jpg?v=1782313204" alt="MoEngage Acquires Aampe to Advance AI-Powered Customer Engagement" title="MoEngage Acquires Aampe to Advance AI-Powered Customer Engagement" />
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      <p style="text-align:justify;text-justify:inter-ideograph">MoEngage, a customer engagement platform powered by agentic AI and used by more than 1,350 consumer brands worldwide, has announced the acquisition of San Francisco-based Aampe, a company specializing in AI infrastructure that assigns an autonomous AI agent to each individual customer.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">The deal represents an important step in MoEngage's evolution as a global SaaS provider. By integrating Aampe's reinforcement learning technology directly into its platform, MoEngage is creating a unified ecosystem where marketer-focused workflow agents and customer-specific decisioning agents work together seamlessly. This integration enables genuine one-to-one personalization at enterprise scale.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Traditional personalization strategies often reach a point where scaling becomes increasingly complex. As customer engagement programs expand, organizations must manage growing numbers of audience segments, customer journeys, experiments, and operational resources. Many existing decisioning systems also require teams to rebuild intelligence and context from scratch whenever new campaigns or initiatives are launched, limiting long-term learning and efficiency.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">MoEngage has strengthened its position across Europe, helping consumer brands address stricter data privacy requirements while meeting rising customer expectations for relevant and personalized experiences. Aampe's privacy-first design complements this mission by avoiding the storage of personally identifiable information and instead relying on anonymized behavioral data. This approach aligns with modern data minimization principles while still enabling individualized customer engagement. As MoEngage expands globally, the company continues to support brands in delivering highly personalized interactions at scale.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">"Every marketer aims to reach customers with the right message at the right time," said Raviteja Dodda, Co-founder and CEO of MoEngage. "The real challenge has always been having the infrastructure to make that possible. Aampe has developed a capability that continuously optimizes content, timing, communication channels, and message frequency for every individual user. Equally impressive is the expertise of the team behind it. Paul, Schaun, Sami, and the entire Aampe organization combine deep research knowledge with the operational discipline needed to solve one of marketing's most difficult challenges. Together, we are shaping the future of agentic marketing."<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">MoEngage has already invested significantly in AI-driven marketing through its Merlin AI platform. Aampe enhances these capabilities with advanced agentic decision-making technology that has been tested by some of the world's leading consumer brands. Each AI agent independently determines what content to deliver, when to send it, how frequently to communicate, and which channel to use, while continuously learning from customer responses. Marketers retain control over content, objectives, and operational boundaries, while the AI manages execution and provides full visibility into its decisions.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Paul Meinshausen, Co-founder and CEO of Aampe, explained the company's vision: "We built Aampe around a simple principle—one agent for each user rather than one model for an entire segment. Each agent develops an ongoing understanding of an individual's behavior, preferences, and engagement patterns. Because the system learns from underlying meaning rather than isolated messages, knowledge accumulates over time instead of resetting with every interaction. By joining forces with MoEngage, we gain the infrastructure, channel capabilities, and customer reach needed to make this approach widely available."<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Following the acquisition, Aampe's founding leadership team—Paul Meinshausen, Schaun Wheeler, and Sami Abboud—will join MoEngage to spearhead its Agentic Decisioning initiatives. Existing Aampe customers will continue to receive uninterrupted service while benefiting from MoEngage's expanded engineering, data science, and customer success resources.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Aampe's technology is already being used by prominent consumer brands such as Taxfix, ZenBusiness, Grab, and Swiggy. The platform currently operates hundreds of millions of dedicated AI agents and evaluates more than 200 billion decisions every week.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">One example of the technology's effectiveness comes from Taxfix, a leading European AI-powered digital tax management platform. Instead of relying on conventional segmentation and predefined customer journeys, Taxfix deployed Aampe's model of assigning a dedicated AI agent to each user.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Alex Beresford, Chief Growth Officer at Taxfix, noted that Aampe outperformed the company's rule-based CRM system—which had been refined over four years—by 50%. The deployment also generated a 40% increase in revenue compared with a global control group and achieved break-even within a month. According to Beresford, the cost efficiency of Aampe was between 120 and 150 times greater than advertising spend used to drive comparable customer retention outcomes.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">The acquisition also introduces MoEngage's "Start Anywhere" model. Brands can integrate Aampe's individual-agent technology into their existing marketing automation or customer engagement platforms without disrupting current operations. Existing MoEngage customers, meanwhile, gain direct access to Aampe's capabilities through native integration. In both cases, advanced individual-level decisioning becomes available without requiring major platform changes.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Additionally, the merger brings together the AI research teams of both organizations under a shared mission: advancing the next generation of agentic marketing. By combining Aampe's research expertise with the large-scale production environment provided by MoEngage's global customer network, the companies aim to accelerate innovation and expand the practical applications of AI-driven customer engagement.<o:p></o:p> <br />  
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  <entry>
   <title>DROS Launches AI Voice Agents for Compliant Debt Collection</title>
   <updated>2026-06-16T12:52:00+02:00</updated>
   <id>https://www.dailycsr.com/DROS-Launches-AI-Voice-Agents-for-Compliant-Debt-Collection_a5877.html</id>
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   <published>2026-06-16T12:50:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/96997215-67596026.jpg?v=1781607152" alt="DROS Launches AI Voice Agents for Compliant Debt Collection" title="DROS Launches AI Voice Agents for Compliant Debt Collection" />
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      <div style="text-align: justify;">As the debt collection sector navigates growing compliance concerns surrounding the adoption of AI-powered voice technologies, DROS.ai is introducing a more controlled and regulation-focused solution. Collection calls remain among the most heavily regulated interactions within the debt recovery lifecycle, and organizations face substantial compliance risks under regulations such as the Fair Debt Collection Practices Act (FDCPA) when AI systems operate without sufficient customer context, oversight, and safeguards. <br />   <br />  DROS.ai has announced the launch of its highly anticipated AI voice agents designed specifically for debt collection and recovery operations. The new capability ensures that every interaction begins with comprehensive account information, applicable compliance requirements, and predefined next-action workflows already in place. These AI-powered collection agents are engineered to deliver speed, precision, and regulatory adherence for highly regulated industries. <br />   <br />  The importance of deploying intelligent AI solutions has never been greater. Organizations today operate in an environment where sophisticated fraud schemes are becoming increasingly prevalent, making it essential to combine operational efficiency with strong compliance controls. <br />   <br />  According to a recent report by Thomson Reuters, the rapidly evolving compliance and risk landscape has been accompanied by increased use of AI, automation, and cryptocurrencies by criminals to conduct fraudulent activities more effectively. <br />   <br />  Further highlighting the challenge, ITPro.com reports that one in five organizations loses more than $1 million annually due to security and compliance-related failures, with nearly 30% of these losses linked directly to deficiencies in these areas. <br />   <br />  As AI voice technology becomes more widely adopted within debt collection processes, maintaining customer interactions that are context-driven, compliant, and fully auditable has become a critical requirement. Many traditional AI calling solutions struggle to meet these expectations consistently. <br />   <br />  In today's environment, organizations need both operational agility and effective governance to remain competitive. DROS's latest innovation is designed to address precisely these needs. <br />   <br />  <strong>Transforming Collections Through Contextual Intelligence</strong> <br />  To overcome the limitations of conventional AI collection tools, DROS developed voice agents that access and analyze complete account information before every conversation. This enables more personalized, compliant, and productive interactions with customers. <br />   <br />  The platform supports both inbound and outbound collection operations while incorporating predefined scripts, compliance frameworks, and built-in safeguards. Unlike traditional automated dialers that engage customers with limited context, DROS voice agents review the full account history before initiating a conversation, allowing each interaction to continue seamlessly from where the previous engagement ended. <br />   <br />  The platform incorporates critical account information, including:</div>    <ul>  	<li style="text-align: justify;">Payment history and previously broken Promises to Pay (PTPs)</li>  	<li style="text-align: justify;">Active disputes and hardship indicators</li>  	<li style="text-align: justify;">Recent engagement through SMS, email, and customer portals</li>  	<li style="text-align: justify;">Agent notes, preferred language settings, and communication preferences</li>  </ul>    <div style="text-align: justify;">"Many AI voice solutions used in collections function primarily as scripted cold-calling systems. DROS was built with a fundamentally different approach. Every conversation begins with a complete view of the customer's account, relevant compliance requirements, and a record of all previous interactions. Our clients are already benefiting from capabilities such as rapid customer verification within seconds and synchronized voice and SMS automation delivered through purpose-built AI agents. The results demonstrate the value of combining automation with contextual intelligence," said&nbsp;<span style="text-align: justify;">Anshul Shrivastava, Vodex's CEO.</span> <br />   <br />  DROS continues to expand its AI-native collections engagement platform, with additional capabilities under development for debt recovery and accounts receivable workflows. The company's objective remains focused on providing collection teams with the visibility, control, and compliance tools necessary to operate efficiently at scale. <br />   <br />  At the core of DROS's long-term vision is the ambition to create the industry's most comprehensive AI engagement platform for collections. By prioritizing compliance, operational effectiveness, and contextual intelligence, the company aims to support regulated industries while establishing itself as a leading technology platform for debt recovery operations. <br />   <br />  <strong>Frequently Asked Questions</strong> <br />  <strong>What is DROS.ai?</strong> <br />  DROS.ai is an AI-driven engagement platform designed for collection teams. It consolidates debtor communications, account management workflows, and recovery operations into a unified system. <br />   <br />  <strong>Can DROS AI voice agents be used for both first-party and third-party collections?</strong> <br />  Yes. DROS supports first-party collection departments, third-party collection agencies, and debt buyers within a single platform. Compliance settings, scripts, and operational guardrails can be customized for individual portfolios and collection programs. <br />   <br />  <strong>Can organizations test the voice agent before deploying it in production?</strong> <br />  Yes. DROS provides a testing environment that allows users to preview the agent's voice, experience simulated conversations using actual scripts and account variables, and make refinements before activating the solution in a live production environment.</div>  
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