Latest news with #ASAPP
Business Upturn
16-07-2025
- Business
- Business Upturn
ASAPP's GenerativeAgent Platform is Now Available in the New AWS Marketplace AI Agents and Tools Storefront
NEW YORK, July 16, 2025 (GLOBE NEWSWIRE) — ASAPP , the leading provider of AI-powered contact center software, today announced the availability of its GenerativeAgent Platform in the new AI Agents and Tools storefront in AWS Marketplace. This enables AWS customers to easily discover, buy, and deploy GenerativeAgent using their AWS accounts, accelerating AI agent and agentic workflow development. The AI Agents and Tools storefront in AWS Marketplace serves as a centralized catalog for hundreds of AI solutions from trusted AWS Partners. GenerativeAgent is built from the ground up to redefine the role of AI in the contact center by enabling users to handle complex, multi-turn conversations with enterprise-grade performance, safety, and control. By successfully handling nuanced conversations and multi-step problem-solving to resolve customer issues on its own, the platform dramatically increases contact center capacity, improving the customer service experience and lowering the cost to serve. 'ASAPP is committed to delivering best-in-class AI products that solve the toughest challenges in customer service, and it is a privilege to offer our GenerativeAgent platform in the new AWS Marketplace AI Agents and Tools storefront,' said Priya Vijayarajendran, CEO of ASAPP. 'We are proud to expand our collaboration with AWS as we equip more customers with the tools to transform their customer experience strategy and gain more value from their AI investments.' Through the AWS Marketplace AI Agents and Tools storefront, customers can significantly accelerate their procurement process to drive AI innovation, reducing the time needed for vendor evaluations and complex negotiations. With centralized purchasing using AWS accounts, customers maintain visibility and control over licensing, payments, and access through AWS. This news follows ASAPP's achievement of the AWS Generative AI Competency in April 2025, a recognition of AWS partners that drive the advancement of services, tools, data strategy, and infrastructure pivotal for implementing generative AI technologies across diverse industries. To learn more about ASAPP in AWS Marketplace, click here . To learn more about the new AI Agents and Tools storefront in AWS Marketplace, click here Helpful links About ASAPP ASAPP is an artificial intelligence solution provider committed to solving the toughest problems in customer service. Our flagship product, GenerativeAgent® , is a platform built from the ground up to handle complex, multi-turn conversations with enterprise-grade performance, safety, and control. Because we automate what was previously impossible to automate, our AI-native® solutions deliver more than efficiency gains. They redefine the role of AI in the contact center and lay the groundwork for businesses to reimagine their customer experience delivery for the age of AI. Leading enterprises rely on ASAPP's generative and agentic AI solutions to dramatically expand contact center capacity and transform their contact centers from cost centers into value drivers. To learn more about ASAPP, visit . Media ContactAmy McDowellOffleash PR for ASAPP [email protected]
Forbes
11-07-2025
- Business
- Forbes
Choosing A Generative AI Vendor: What To Know To Keep Your Data Safe
Khash Kiani leads security and trust at ASAPP, safeguarding enterprise AI. Generative AI is everywhere—automating emails, analyzing contracts and streamlining work. But here's the catch: Many of these tools need access to your most confidential data. That means the process of choosing a vendor is as much about security and risk as it is about features and price. If you're considering a generative AI provider that will touch sensitive data such as customer records, internal documents and financials, great demos aren't enough. You need to ask direct, difficult questions about how your data is handled, stored and protected before moving forward. Understand The New Wave Of AI Risks Everyone is familiar with the word 'cybersecurity.' Fewer people are talking about the novel kinds of threats that generative AI brings to the table. One of the most serious is 'prompt injection.' Prompt injection is relatively new and not always obvious. It happens when someone manipulates the AI's input to change what it does behind the scenes. With traditional deterministic software, security reviews and testing can spot most problems and vulnerabilities. With generative AI, those same tests might miss subtle risks. A well-written adversarial prompt buried in customer comments could bypass your controls. Worse, different AI agents might talk to each other in ways you never expected, creating more opportunities for data to leak or rules to break. Data poisoning is another unique problem. If someone deliberately feeds misleading or malicious information to the AI or manipulates the backend knowledge-base articles and context sources, the system could learn something harmful, behave incorrectly or even reveal fragments of private data later on. The best way to stay ahead of these risks is to ask vendors how they handle novel threats like prompt injection and data poisoning. You want to hear real mitigation strategies and safety guardrails, not just the usual 'we take security seriously.' Where Does Your Data Go—And Who Can See It? Many assume their information stays in their control, but that's not usually the case. Some vendors process everything locally on their infrastructure, while others send your data to their subprocessors for processing. It's essential to ask the vendor: • Will any of my data be transferred outside your organization for processing or storage? • Do you keep copies of my data, and if so, for how long and for what purpose? • Who at your company (or your partners) can access my data and under what circumstances? If you're in a regulated industry like finance or healthcare, or you operate in a country with strict data laws, these questions aren't optional. Some vendors provide private or on-premise deployments, which can help maintain tighter control over your information. Others rely purely on the cloud, which may have implications for compliance and security. What's The Fine Print On Data Ownership? Handing data to an AI system shouldn't mean giving up your rights to that data. Yet, some providers use vague language that essentially grants them 'model improvement' clauses in their contracts, giving them license to use your confidential information to train or refine their products. Don't accept vague language. Insist on clear terms that explicitly state that you retain ownership over all inputs and outputs, the vendor can't use your business data for unrelated AI training and you can choose to delete your data permanently if you stop using the service. If the provider can't give you these protections, it's time to reevaluate. How Secure Is The Platform? Generative AI is a natural target for cyber criminals. A weak link here can open the gates to customer data loss, intellectual property theft or even tampered outputs. Some basics to confirm with your vendor: • Are all data transmissions and storage encrypted? • Is there a redaction capability to remove sensitive data prior to storage? • Does the platform support modern authentication tools like single sign-on and role-based permissions for API access? • Have they completed independent, third-party security audits and penetration testing, and will they share the results? You might be surprised by how many vendors can't answer these questions directly. If they're slow to respond or deflect, that should give you pause. Know Exactly What Will Be Shared Not every application needs access to every dataset. Take time to outline what the AI agent needs for its current tasks and intents. Be precise about which datasets are required, where those datasets reside and who inside your company is responsible for those assets. Ask your vendor to document what information their system will see and produce. This avoids accidental overreach, where a generative agent accesses your HR files when all it really needed was anonymized help ticket logs. Data Residency And Flow Not all data privacy issues are about content—location matters too. Ask for explicit details on where your data will be processed and stored, whether the vendor brings in other third parties, like infrastructure or analytics providers, and what controls are in place for cross-border data transfers. These factors can be especially important if you need to comply with regulations such as the GDPR or HIPAA. Insist On Transparency Certificates like SOC 2 or ISO 27001 are worth noting, but don't let them give you a false sense of security. They're a starting point, but probably not the end of your compliance review. Before signing, get answers in writing to these questions: • How quickly will the vendor notify you if there's a security incident? • What happens to your data after your contract ends? If the answers are unsatisfying or the language unclear, push for revisions. Bottom Line Generative AI brings significant opportunity, but protecting your sensitive information must remain a top priority, so choosing the right partner goes beyond evaluating features. Insist on transparency, put all agreements in writing and always verify how your data is handled rather than taking assurances at face value. Asking the right questions up front can help you avoid serious challenges down the road. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Forbes
30-06-2025
- Business
- Forbes
Redefining The Customer Service Capacity Equation
Priya Vijayarajendran is the CEO of ASAPP. Generative AI is redefining what's possible in customer service. Offering more than incremental improvements, it unlocks a fundamentally new way to scale, personalize and optimize support at every level. From absorbing massive spikes in demand to elevating the role of human agents, this technology creates the space to rethink how we serve customers and what kind of experience we want to deliver. For decades, contact centers have operated under a cost-capacity tradeoff, trying to meet growing demand with limited resources, outdated systems and high turnover. This tradeoff often resulted in subpar customer experiences, gaps in customer service and low customer satisfaction. Generative AI offers a way out of that equation. In my experience developing generative AI for contact centers, I've seen that it can create net-new capacity by automating complete interactions with speed, accuracy and empathy. Maintaining The Human Touch Most companies have moved beyond asking whether to adopt generative AI. The focus now is on how to implement it without losing the human connection that defines a great brand experience. AI can be trained to embody the tone and care of a company's best agents, but it takes thoughtful design and collaboration between people and technology. Human agents aren't being replaced; they're becoming the trainers. They guide the AI, provide feedback and step in when the situation demands emotional nuance or deeper judgment. When done right, AI helps scale the complexities that human agents can leverage. The goal isn't to separate the machine from the workforce, but to build an inclusive system where the two operate together, reinforcing each other's strengths. Elevating The Role Of The Human Agent One of the biggest challenges in contact centers today is churn. McKinsey reports the average annual turnover rate for call centers is roughly 60% (though, in my experience, annual turnover can be as high as 80%), which leaves teams caught in a constant cycle of hiring, onboarding and retraining new hires, driving up costs and eroding consistency. In companies that successfully implement generative AI in their contact centers, one of the most meaningful outcomes is what it makes possible for human agents. When done correctly, gen AI allows agents to focus on complex, high-value conversations, while also training and guiding AI to reflect the company's voice, tone and brand values, instead of being stretched thin across repetitive tasks. That's a powerful evolution: from customer service as a reactive function to a more strategic, insight-driven role. Scaling Service When Demand Surges Whether it's five thousand or five million interactions, your generative agents will respond in real time. They adapt to sudden spikes—weather disruptions, viral campaigns or platform outages—without missing a beat. You should select a system that is designed for responsible scaling so that it knows when to bring in a human to preserve judgment and empathy where it matters most. The result: consistent SLAs, fewer bottlenecks and better customer outcomes at scale. Generative AI can allow call centers to operate faster and more reliably, regardless of the volume. Proven Use Cases And How To Apply Them To Your Business Generative AI is already transforming industries with high, unpredictable and urgent service demands, such as airlines, telcos, financial services and retailers. These are brands we interact with daily, and they've embraced AI to keep up with volume and to raise the bar on service quality. Take airlines, for example. During weather disruptions, customer service centers used to be overwhelmed by millions of calls from passengers needing to check flight statuses or rebook. Today, generative agents handle that surge effortlessly, integrating with backend systems, offering real-time updates and providing rebooking options without the dreaded hold music. Or consider a major power outage for a telco. A tenfold spike in customer inquiries can crash traditional systems. But with AI, brands are now answering questions, resolving issues and maintaining a seamless experience across millions of interactions without overwhelming their human teams. So, how can other organizations follow suit? Start by identifying your most common and costly service bottlenecks, moments where volume spikes or resolution slows. These are ideal entry points for AI. Then, design around both automation and escalation: let AI handle the predictable, and have humans ready for nuance and complexity. And don't forget training. Your best agents can teach AI how to speak your brand's language, tone and values. Transforming Your Contact Center With Generative AI Once you've made the decision to integrate generative AI into your contact center, the next step is rethinking how your systems support scale, adaptability and brand consistency. For years, contact center strategies have been constrained by staffing: hiring fast enough, reducing turnover and boosting agent efficiency with training or tools. Generative AI allows you to move beyond that reactive model. Start by identifying where legacy systems are holding you back. Use the breathing room AI creates to modernize infrastructure, connecting siloed channels, upgrading outdated platforms and automating high-volume interactions that previously consumed valuable agent time. Next, shift your focus from workforce headcount to system performance. Ask: How well can your architecture adapt to spikes in volume? How consistently does it reflect your brand voice and values? How quickly does it learn from feedback and improve over time? These are the metrics that matter in an AI-first model. Your agents also play a key role in the transition. Think of them not just as users, but as trainers helping train AI to handle nuanced interactions, ensuring it responds with empathy and stepping in when human judgment is needed. Done well, this shift positions your contact center as a modern experience engine capable of delivering reliable, intelligent service no matter the complexity or scale. With self-learning systems that improve with each interaction, you're no longer chasing capacity. You're building a foundation for long-term service excellence. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
Associated Press
27-06-2025
- Business
- Associated Press
ASAPP Financial Technology Launches ASAPP OXP® Version 22.0, Enhancing Address Accuracy and Reporting Intelligence
TORONTO, ONTARIO, CANADA, June 27, 2025 / / -- ASAPP Financial Technology is proud to announce the release of ASAPP OXP ® Version 22.0, delivering significant enhancements to its Origination and Engagement capabilities. This latest version introduces improved rural address handling and a powerful new reporting infrastructure, designed to elevate both member and staff experiences across Canadian credit unions and financial institutions. Smarter Address Handling for Rural Applicants Version 22.0 introduces advanced logic for rural address validation, ensuring greater accuracy and user control. When Canada Post cannot locate an exact match, the system now intelligently selects the closest available address. New validation checks also prevent incorrect data entry by rejecting addresses outside the original postal code or province. Applicants are prompted to manually confirm their address when necessary, improving data integrity and user experience. Robust Reporting Infrastructure with Power BI Integration To support deeper insights and operational efficiency, ASAPP has launched a dedicated Microsoft Azure Data Reporting Service. This secure infrastructure provides nightly-updated, flattened reporting extracts, enabling Client-Partners to access critical data through templated Power BI dashboards or their own customized reports. Empowering Client-Partners with Actionable Insights The release of templated Power BI dashboards provides immediate value, allowing Client-Partners to visualize and act on key performance indicators. These dashboards are fully customizable and compatible with internal Power BI licenses, offering flexibility and scalability. 'Version 22.0 reflects our commitment to continuous innovation and Client-Partner success,' said Steve Sauve, Chief Product Officer of ASAPP Financial Technology. 'By enhancing address accuracy and unlocking new reporting capabilities, we're helping our Client-Partners deliver more personalized, data-driven experiences with less room for errors and guesswork.' -30- About ASAPP Financial Technology ASAPP Financial Technology provides Customer Experience Software that supports regulated financial institutions as they Originate, Onboard, Understand, and Grow their Customer Relationships. In Canada, the ASAPP OXP® | Omnichannel Experience Platform has helped over 50 Canadian credit unions create sustainable competitive advantages to compete against direct-to-consumer fintech solutions. In the United States, the OXP® | Omnichannel Experience Platform delivers Origination and Engagement feature sets that leverage our experience gained supporting Canadian financial institutions, while delivering a solution that adapts to the challenges and opportunities for the US credit union and community bank markets. JR Pierman ASAPP Financial Technology Inc. +1 705-257-8503 email us here Visit us on social media: LinkedIn YouTube Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Yahoo
22-04-2025
- Business
- Yahoo
ASAPP Achieves the AWS Generative AI Competency
Certification Recognizes ASAPP's AI-Powered Contact Center Solutions for Technical Excellence and for Enabling Customers to Deploy Generative AI Technologies in Production with Confidence and Scale NEW YORK, April 22, 2025 (GLOBE NEWSWIRE) -- ASAPP, the leading provider of AI-powered contact center software, today announced it has achieved the Amazon Web Services (AWS) Generative AI Competency, a recognition of AWS partners that drive the advancement of services, tools, data strategy, and infrastructure pivotal for implementing generative AI technologies across diverse industries. 'ASAPP is committed to delivering best-in-class AI solutions that redefine what's possible in enterprise contact centers,' said Priya Vijayarajendran, CEO of ASAPP. 'Achieving the AWS Generative AI Competency underscores the measurable business impact of our AI-native solutions. We're honored to deepen our collaboration with AWS as we continue to help customers solve the most complex, data-rich challenges facing enterprise contact centers today.' ASAPP's AI-native product suite addresses complex, data-intensive customer service challenges at enterprise scale—advancing beyond basic automation to solve customer-specific problems with speed and precision. GenerativeAgent is an enterprise generative AI agent that accelerates resolution of complex customer service interactions—safely and autonomously—while reducing integration overhead. Built for enterprise needs, it taps into historical data and existing systems to enable rapid deployment, improve customer satisfaction, and deliver measurable ROI from day one. AWS Generative AI Competency partners are the go-to experts in implementing generative AI solutions that create value and drive business growth for AWS customers globally. Partners have proven expertise, field experience, and successful projects using generative AI tools from AWS to craft innovative solutions, enabling the building, training, deployment, and utilization of foundation models in creative ways at scale. ASAPP is available in the AWS Marketplace. Click here to learn more. Helpful links ASAPP website ASAPP blog ASAPP on LinkedIn ASAPP on X About ASAPPASAPP is an AI solution provider committed to solving the toughest problems in customer service. Because we automate what was previously impossible to automate, our AI-nativeⓇ solutions deliver more than efficiency gains. They redefine the role of AI in the contact center and lay the groundwork for businesses to reimagine their customer experience delivery in the age of AI. Leading enterprises rely on ASAPP's generative and agentic AI solutions to dramatically expand contact center capacity and transform their contact centers from cost centers into value drivers. To learn more about ASAPP, visit Media ContactAmy McDowellOffleash PR for ASAPPasapp@ in to access your portfolio
