Gupshup, a heavyweight in the conversational AI sector, announced on Wednesday the launch of Superagent, an autonomous bot designed to manage the entire lifecycle of customer engagement across messaging and voice channels.

The tool represents a shift from reactive AI assistants to proactive “orchestrators.” According to the company, Superagent does not merely respond to queries; it can also design marketing campaigns, provision messaging infrastructure, and process transactions autonomously across platforms such as WhatsApp, RCS, and Instagram.

“Managing customer conversations has been too hard for too long,” said Beerud Sheth, CEO of Gupshup. “Superagent is not just laying the rails for AI-powered customer engagement; it can also run the trains.”

Also Read: Clarity Is Marketing’s Most Valuable Asset

From Prompt to Profit

The company is betting that its 15 years of domain expertise—handling 10 billion messages monthly—will give it an edge over generic LLMs. Superagent is built to understand regional regulatory nuances, such as the specific compliance needs of a fintech firm in Brazil versus a bank in India.

Early beta results released by the company claim a 90 percent reduction in operational effort and a 25 percent increase in conversion rates. The agent functions as a “black box” for business logic: a user provides a prompt regarding their revenue goals, and the AI handles the technical execution, from account creation to performance optimization.

Privacy for the Prudent

In a simultaneous nod to the growing demand for data sovereignty, Gupshup also introduced Superclaw. This self-hosted, on-device version of the agent is aimed at small businesses and highly regulated industries, such as healthcare and finance, where “cloud-first” AI remains a security concern.

Superclaw runs on local hardware, keeping customer data off external servers while still linking to personal or business messaging accounts. This “privacy-first” model aims to eliminate external infrastructure costs for SMEs while satisfying the strict data residency requirements of large enterprises.

Also Read: Your Rebrand Is Failing. Have You Tried Listening?

A Multichannel Footprint

Superagent is designed to be platform-agnostic. While it operates natively across 30+ messaging channels, it can also be embedded in third-party AI tools such as ChatGPT, Claude, and Gemini.

The launch signals a growing trend in the industry toward “agentic” workflows—AI that doesn’t just talk, but acts. For Gupshup, the goal is to transform the chat window from a support desk into a self-sustaining revenue engine.

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Not long ago, I was having coffee with a fellow CMO at an industry event. Like most marketing conversations these days, we ended up talking about AI. At one point, she paused and said something disarmingly honest.

“Every time leadership talks about AI, they talk about efficiency. But all my team hears is that we’re becoming replaceable.”

It is the thing nobody says out loud in the strategy session, but everyone is thinking. According to recent Pew Research Center data, 52 percent of workers say they worry about the future impact of AI in the workplace. When leaders frame AI primarily as a productivity tool, it activates what researchers call FOBO — fear of becoming obsolete. The anxiety is real, and dismissing it does not make it go away.

But as our conversation continued, we kept arriving at the same conclusion: the leaders getting this right are not managing the fear. They are changing the frame.

The real shift in marketing is not about automation or headcount. It is about how teams turn information into insight, and insight into action.

The Real Challenge Marketing Leaders Face: Digital Complexity

At some point in our conversation, the CMO said something I have not stopped thinking about since.

“I don’t need more dashboards. I need help understanding what actually matters.”

That is where the real story begins. She was not struggling with a shortage of tools. Her team had access to more data and more platforms than ever before. What she was struggling with was complexity — the kind that accumulates silently until it becomes the job itself.

Modern marketers are navigating layered content ecosystems, constant algorithm updates, accessibility and compliance requirements, and more performance data than any team can meaningfully process. The challenge is not collection. It is comprehension — turning disparate information into decisions that actually move something. This is where the next phase of AI is beginning to reshape how marketing teams operate.

Marketing Technology Is Shifting From Tools To Intelligent Systems

From years of working in enterprise SaaS and through my work with the MACH Alliance, I have learned that the most effective digital systems rarely live inside a single platform. They are composable — different capabilities working in concert across systems, each doing what it does best.

We are seeing the same logic applied to AI. Rather than isolated tools, organizations are beginning to adopt agentic systems that work alongside teams—not replacing the workflow but removing the friction within it.

When I described this shift to the CMO I had been speaking with, she understood it immediately.

“So it’s not just about faster reports,” she said. “It’s about helping teams understand what to do next.”

Exactly. Instead of spending hours stitching together insights across platforms, marketers can focus on interpreting signals and making decisions. The system handles the assembly. The human handles the judgment.

The Winning Teams Will Elevate Human Work

Later in our conversation, she said something else that stayed with me.

“Honestly, I didn’t become a marketer to spend my days pulling reports.”

It’s something I hear often that I think requires an industry-wide perspective shift.

For many teams, a surprising amount of time is spent stitching together insights across systems, navigating dashboards, and translating data into something actionable, which can at times feel tedious or daunting, but is one of the most important aspects of our roles.

The key is to find ways to streamline these efforts. Data is the real power behind marketing. By leveraging AI tools to translate analytics data and campaign performance, marketing teams can better understand their audiences and the content that resonates most, enhancing their overall marketing strategies moving forward.

The organizations seeing the most success with AI understand this. They’re not simply introducing new technology. They’re rethinking how work happens inside their teams, using intelligent systems to remove friction so marketers can focus on the work that matters most.

In the end, the real value of these systems isn’t just speed. It’s their ability to help marketers speak the language of the CFO, turning raw data into meaningful insights that can inform future campaigns.

The Real Promise Of Agentic Marketing

When I think back to that conversation, what strikes me most is not the concern my colleague expressed about AI. It is the hope underneath it — that these systems might finally give her team the clarity they have been missing.

The organizations that succeed in the agentic era will not be the ones that automate the most work. They will be the ones who use automation to elevate the work that remains.

When leaders position AI as a collaborator rather than a threat, something shifts. Fear turns into curiosity. Curiosity turns into experimentation. Experimentation drives the kind of innovation that no efficiency mandate ever produced on its own.

The future of marketing will not be defined by AI replacing people. It will be defined by systems that give people the visibility, the insight, and the confidence to act — turning information into intelligence, and intelligence into decisions that move the business forward.

Clarity, in the end, is not a feature. It is the whole point.

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Revolut has launched an AI-powered financial assistant for its more than 13 million customers in the United Kingdom, as the $75 billion challenger bank joins a growing wave of fintechs embedding conversational AI into everyday banking.

The tool, called AIR, is available free within the Revolut app and is designed to replace multi-step navigation with simple conversational prompts. Users can ask it for spending insights, track investments, freeze a lost card, manage subscriptions, or plan travel budgets. Revolut says personal data is never stored by third-party AI partners or used to train external AI models.

“We believe the era of navigating through endless tabs and menus is over. With AIR, we’re delivering a new level of money intelligence that’s both powerful and effortless. It’s not just an assistant; it’s a co-pilot that elevates everyday life, making financial management as easy and natural as sending a text. Crucially, Revolut customers also remain firmly in the driver’s seat, ensuring that money intelligence never comes at the cost of privacy,” said Julia Ponomareva, director and general manager of CX and AI product at Revolut.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

The launch places Revolut alongside a clutch of European fintechs racing to integrate generative AI into their products. Klarna uses the technology for customer service, while Bunq launched its own AI assistant in 2024. Danish challenger bank Lunar has said its AI-powered voice assistant will eventually handle around 75 percent of customer calls.

In the United Kingdom specifically, rival Starling Bank launched what it described as the country’s first agentic AI financial assistant last month, signaling that AI is fast becoming a competitive battleground among challenger banks.

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Phrase, the global leader in AI-powered language technology, today announced a new wave of product innovations designed to help enterprises work smarter, faster, and more effectively across global markets. The release introduces a new AI Translation Agent, AI-led translation, and real-time collaboration in Phrase Studio, as well as enhanced integrations that provide teams with increased speed, control, and efficiency in managing multilingual content workflows.

AI That Works Instantly

The new AI Translation Agent makes advanced generative AI accessible by combining translation and optimization in a single step. It enables businesses to experience high-quality AI translation immediately, without the need for a complex setup. The Agent delivers fluent, consistent output that often eliminates the need for human review, enabling teams to scale faster and reduce time and costs while maintaining high translation quality. This frees up linguists to focus on higher-value tasks, accelerates global delivery, and helps enterprises achieve greater efficiency across their content operations.

Advanced AI and Real-time Collaboration in Phrase Studio

With this release Phrase Language AI is now available directly in Phrase Studio, allowing teams to combine advanced neural and LLM-powered engines with their own terminology, assets, and brand tone of voice in a single environment. This ensures consistency across all content types, including video, documents, and digital channels, while reducing manual edits and keeping every market aligned.

Phrase Studio has also been turned into a collaborative workspace. Teams can now collaborate in real-time on the same project, whether adapting video content, adding subtitles, or producing voiceovers, for smoother teamwork and faster turnaround.

By integrating collaboration and AI into a single workflow, Phrase enables enterprises to manage multimedia content at scale with greater speed, precision, and confidence.

Smarter Workflows and Integration

Beyond new levels of collaboration and AI agents, this release also introduces enhancements that improve accuracy, visibility, and context across enterprise content workflows:

• Live Figma Previews: Real-time translation of Figma previews directly in the CAT editor reduces design bottlenecks and shortens review cycles.
• Smarter Job Sync: Enhanced cross-platform coordination simplifies project management. Smarter job tracking and duplicate prevention keep every project accurate, visible, and under control.
• Custom Fields in Term Bases: Richer context is preserved for linguists, reducing errors and removing workarounds.

Raising the Standard for Enterprise Content

“With this release, we are delivering more than new innovation. It reflects our continued commitment to reshaping how enterprises create and deliver global content,” said Georg Ell, CEO at Phrase. “By combining AI, real-time collaboration, and workflow integration, we are equipping teams with technology that multiplies efficiency and impact across their entire global content operations.”

This latest innovation builds on Phrase’s recent recognition as a Leader in the inaugural Forrester Wave for the language technology industry, an independent analysis that reinforces its role as a trusted partner for enterprises navigating the complexities of global content delivery.

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Blazeo Inc., a leader in omnichannel lead engagement, announced the launch of Blazeo Voice AI, a breakthrough hybrid call center solution that merges advanced conversational AI with live human agents. Designed for businesses where speed and trust are critical, Blazeo Voice AI sets a new standard by delivering instant responsiveness and scalability, while still preserving human empathy for complex or sensitive conversations.

Blazeo Voice AI handles the majority of inbound and outbound calls using real-time, natural-sounding AI automation. The system can answer inquiries, qualify leads, schedule appointments, and capture customer information around the clock. When conversations require nuance, legal sensitivity, or emotional intelligence, calls are seamlessly escalated to Blazeo’s live agents, who continue the interaction with full context of the conversation to provide judgment, reassurance, and personal care.

“AI-only systems fall short when nuance matters, and human-only centers can’t match the speed and scalability businesses demand. Blazeo Voice AI creates a third way—automation first, with a human layer of intelligence and empathy when needed.” said Ashhad Syed, CEO of Blazeo.

Also Read: Agile Marketers Win: Elizabeth Maxson on AI, Composability and Creativity

Built on 15+ Years of Expertise

Unlike many new entrants in the AI space, Blazeo’s platform is built on over 15 years of real-world customer interactions across industries such as legal, healthcare, elective medicine, and home services. This foundation provides Blazeo Voice AI with unmatched accuracy, domain awareness, and the ability to handle conversations that go beyond generic scripts.

With deep vertical expertise, Blazeo has trained its AI to understand the nuances of legal intake, the urgency of home service emergencies, and the sensitivity of medical inquiries—giving businesses confidence that their most important customer conversations are handled correctly the first time.

A Third Way for Customer Engagement

Traditional call centers rely solely on human agents, which means long wait times during high call traffic periods, high costs, staffing challenges and service ramp-up delays. On the other end of the spectrum, AI-only voice bots can leave customers frustrated when they encounter complex needs or emotionally charged situations. Blazeo Voice AI bridges this gap, positioning itself as the industry’s first practical hybrid model:

• Faster than human-only centers: AI answers calls instantly, without hold times, reducing dropped calls and abandoned leads.
• Smarter than AI-only systems: When stakes are high, human agents step in with empathy, legal knowledge, or advanced troubleshooting.
• Scalable and cost-effective: Businesses get the best of both worlds when it’s necessary, improving customer interactions while realizing significant cost savings.

Also Read: Is MarTech Headed for a Great Merger or Splintered Future? Scott Brinker Has Thoughts

Built for High-Value Industries

Blazeo Voice AI is particularly impactful for industries where customer experience and lead capture directly affect revenue:

• Legal Services : AI can perform initial case intake and qualification, escalating to trained intake agents when legal nuance is needed.
• Healthcare & Elective Medicine : Patients get instant answers about procedures and appointments, with live agents available for sensitive or emotional conversations.
• Home Services : AI handles routine scheduling and service questions, while live agents provide support for urgent, high-stakes jobs like plumbing or HVAC emergencies.
• Marketing Agencies : Agencies can resell the solution to clients, ensuring “never miss a call” coverage without ballooning staffing costs.

Seamlessly Integrated

Blazeo Voice AI is integrated with the company’s existing omnichannel platform, which includes AI-powered chat, SMS, appointment scheduling, legal retainer signing, and integrations with hundreds of business applications. This means businesses can maintain conversation continuity across channels, whether a customer starts with a chat, transitions to a phone call, or receives a follow-up via text message.

Early testing among pilot clients has shown cost-per-call reductions of up to 35%, improved after-hours lead capture rates, and higher customer satisfaction scores due to instant response times.

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The 4th Annual Conversational AI & Customer Experience Summit Europe will convene in Munich, Germany, on November 5-6, 2025, bringing together industry leaders, AI experts, and customer experience professionals to explore the future of AI-driven engagement.

Discover the transformative potential of Conversational AI and customer experience strategies. Tailored for learning, networking, and engaging with industry experts, this summit connects you with top professionals. It facilitates knowledge exchange, helping you stay ahead in the evolving field of customer-centric technologies. Conversational AI is already revolutionizing market research and customer service.

Discover more: https://conversationaltechsummit.com/ 

Join us to:

• Gain insights from visionary speakers shaping the future of Conversational AI.
• Network with 150-200 key decision-makers and experts.
• Explore cutting-edge technologies, including innovations in Conversational AI, Natural Language Processing, Chatbots, and Generative AI.
• Engage in interactive discussions on Conversational User Interfaces, Virtual Agents, and Conversational IVR.

Key Benefits of Attending:

• Learn from top industry professionals.
• Discover the latest trends and innovations.
• Expand your network with valuable connections.
• Enhance your skills through expert-led discussions.

Event Details:

• Date: November 5-6, 2025
• Venue: Leonardo Royal Hotel Munich
• Location: Munich, Germany

Register Now: https://conversationaltechsummit.com/tickets/

Don’t miss this leading event in Conversational AI and Customer Experience!

The post MartechView Joins Conversational AI & Customer Experience Summit as a Media Partner appeared first on MartechView.

NiCE announced the successful closing of its acquisition of Cognigy, a recognized leader in enterprise-grade conversational and agentic AI, following receipt of all required regulatory approvals. This brings together two AI industry leaders, each with a proven track record of market leadership, innovation, and customer impact to accelerate AI adoption in customer experience across the front and back office.

By bringing together Cognigy’s AI and NiCE’s award-winning CXone Mpower CX AI platform, organizations of all sizes will transform how they deliver AI-powered customer experience. Cognigy conversational and agentic AI will be enriched with NiCE’s purpose-built CX AI models leveraging decades of CX intelligence, making agents smarter, deployments faster and outcomes more impactful. With this unified power, organizations can scale agentic and conversational AI at speed across CXone Mpower, delivering seamless, intelligent experiences across every customer touchpoint, from the contact center to enterprise-deep workflows.

Both NiCE and Cognigy are leaders in their respective categories for Gartner, Forrester and IDC. Their trusted, third-party-validated capabilities come together to drive AI-first customer experience. To ensure customers have the most flexibility and seamless access to these capabilities, Cognigy will be available both as part of the unified CXone Mpower platform and as a standalone offering.

“This accelerates our vision for AI-first customer experience,” said Philipp Heltewig, former CEO and co-founder of Cognigy and now General Manager, NiCE Cognigy and Chief AI Officer. “With NiCE, we’re expanding our reach and joining forces with the leader in cloud CX to redefine what’s possible, all while continuing to serve our customers as a trusted partner for innovation, speed, and enterprise-grade AI.”

Scott Russell, CEO, NiCE, said, “With the completion of this acquisition, we are bringing together two AI market leaders to redefine the future of customer experience. Together, we are accelerating AI adoption and value realization for global enterprises by delivering one of the industry’s most powerful and comprehensive customer experience platforms leveraging CX models and agentic and human agents powered by decades of CX purpose-built data and insights. We are committed to delivering connected, seamless and intelligent customer experiences around the world.”

The post NiCE Acquires Cognigy to Advance AI-Driven CX appeared first on MartechView.

The biggest frustration for online shoppers is a search bar that doesn’t understand them. When a shopper arrives with a specific need in mind, they are met with irrelevant results or a dead end that reads “No results found.” This isn’t just an inconvenience; it’s the critical point where a potential sale is lost.

Against an industry backdrop of website search functions that rely on rigid keyword-matching and fail to comprehend true shopper intent, Gill Capital Group, a leading retail brand development and distribution company, is proactively transforming the omnichannel product discovery experience. By harnessing generative AI (genAI), Gill Capital sets a new standard for the global brands it manages in Southeast Asia, such as H&M, ALO, and On Running.

Through Google Cloud’s AI Cloud Takeoff (AI CTO) program, Gill Capital has embarked on multiple AI innovation projects. One of them involves embedding a gen AI-powered search agent into e-commerce websites and apps (iOS, Android) for H&M Indonesia and H&M Thailand.

Built using Vertex AI Search for Commerce, this AI agent understands the true intent behind search queries in natural language, whether they’re in English or local languages. The agent can decipher a customer’s needs, even if they key in “เสื้อเบลาส์สำหรับวันอากาศร้อนชื้น” (blouse for hot and humid weather) or “tunik elegan untuk Lebaran” (elegant tunic for Eid Al-Fitr) with a typo. By focusing on the meaning of words, not just keywords, it surfaces contextually relevant results. On the backend, the agent also automatically analyzes and organizes a vast product catalog, freeing staff up from the tedious task of researching and adding keywords to each product.

Going a step further, Gill Capital is integrating a conversational agent into these platforms. Also developed using Vertex AI Search for Commerce, this agent serves as a virtual shopping assistant, surfacing personalized product recommendations through multi-turn conversation. It also helps customers with more complex tasks like checking if an item is in stock at nearby H&M stores—creating a seamless connection between digital and physical—or answering questions like, “What’s the return policy?”

After piloting these two solutions with an initial group of users, Gill Capital has validated their effectiveness in boosting engagement and sales. There are now plans to roll them out for H&M Indonesia and H&M Thailand later this year.

Victor Siow, Group Chief Data and Analytics Officer, Gill Capital Group, said: “At Gill Capital, we create innovative, localized retail concepts for brands in our portfolio to help them thrive in Southeast Asia. While search technology has advanced from keyword-matching to semantic and agentic search, many online retailers haven’t kept pace. With Google Cloud, we’re utilizing the same underlying components that power Google Search today to gain a competitive edge. By grounding best-in-class reasoning models like Gemini 2.5 Flash on company data sources, we can also ensure our AI agents provide relevant and accurate outputs. As part of our AI strategy, we’re now bringing these horizontal search and conversation use cases to other brands while pursuing new applications in key areas like supply chain optimization.”

The AI CTO program: Providing a clear pathway to enterprise AI excellence at scale

Google Cloud’s AI CTO program, organized in partnership with Digital Industry Singapore (DISG) under the Singapore Government’s Enterprise Compute Initiative, aims to establish AI Centers of Excellence (AI CoEs) within 300 digitally-mature, Singapore-based companies.

Using a proven Google Cloud framework, the program will help each participating company establish a dedicated in-house unit (i.e., an AI CoE) that will centralize AI-related expertise, resources, and governance; drive technology, process, and people transformation; and ensure AI innovation initiatives are aligned with business objectives and implemented securely and responsibly.

Each company will work with a DISG-appointed, Google Cloud-certified technical consultancy partner to establish its AI CoE. It will receive partner consultancy support, Google Cloud credits, and Google Cloud Skills Boost licenses worth up to SG$500,000 to pilot at least one minimum viable product that addresses a high-value AI use case. AI CTO is designed to help companies create, implement, and scale enterprise AI solutions that boost their competitiveness and unlock new revenue opportunities

Applications are open for the AI CTO program. Google Cloud partners appointed by DISG for the program include Accenture, Aimazing, AsiaPac, Cloud Ace, CloudMile, Deloitte, Endava, Kyndryl, NCS, NTT Data, Onepoint, OniGroup, PointStar, Searce, and Tridorian.

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Zilliz, the company behind the open-source Milvus vector database, today announced that leading enterprises are deploying AI agents at scale using Zilliz Cloud as their foundational infrastructure. Companies like Verbaflo.ai and Rexera are transforming business operations through intelligent agents that deliver human-like responsiveness.

The AI agent market is experiencing explosive growth as businesses automate complex workflows while maintaining personalized customer experiences. Zilliz Cloud has emerged as critical infrastructure enabling this transformation, powering conversational AI agents that understand context, retrieve information instantly, and engage in natural dialogue.

AI Agents Reshaping Business Operations

Verbaflo.ai revolutionized real estate with AI agents handling customer inquiries, property management, and communications 24/7 across voice, chat, and email channels. “Zilliz Cloud has become a strategic enabler for our vision of transforming conversational AI across industries,” said Rachit Jindal, Senior AI Engineer at Verbaflo.ai.

Leading AI company Rexera operationalized AI agents at scale for complex closing processes, powered by Zilliz Cloud infrastructure. Their agents process over 10,000 tasks daily and millions of pages monthly, serving 350+ real estate firms.

The Infrastructure Behind Intelligent Automation

As enterprises move beyond simple chatbots to sophisticated AI agents, Zilliz Cloud provides the vector database foundation, enabling agents to understand context and maintain conversation continuity. The platform supercharges AI agent performance at scale, delivering the speed and reliability needed for enterprise deployments.

Organizations looking to deploy intelligent AI agents can learn more about Zilliz Cloud at zilliz.com/cloud or contact us for deployment consultations.

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Wunderkind, the AI decisioning platform that delivers identity resolution and cross-channel personalization to scale performance and reach, today announced the launch of Wunderkind AI Experiences: a breakthrough portfolio of agentic, personalized messaging strategies.

As marketers face growing pressure to drive revenue, AI Experiences offers a powerful and efficient solution. Unlike traditional tools built on static rules and manual logic, AI Experiences uses advanced identity resolution, real-time behavioral data, and agentic decisioning to deliver the highest performing messages. It determines the best timing and channel for each individual across email and SMS, as well as uses affinity modeling for personalized product recommendations. This drives higher conversions, expands reach and scales personalized experiences beyond what human teams can achieve today.“

“Marketers are tired of building decision trees only to watch them underperform,” said Richard Jones, CRO at Wunderkind. “AI Experiences flips the script. It learns and adapts in real time, continuously optimizing message timing, sequencing, and product recommendations to drive performance without requiring hands-on orchestration. This is lifecycle marketing without the heavy lifting.”

From re-engaging abandoners to recommending the next-best purchase, AI Experiences uses behavioral signals and identity resolution to unlock hyper-relevant touchpoints that drive conversions. By dynamically sequencing campaigns based on individual intent—not pre-set logic—Wunderkind enables marketers to maximize engagement, revenue, and brand loyalty at scale.

Key Benefits of Wunderkind AI Experiences:

• Smarter Targeting: Identify and engage high-intent shoppers with precision, using first-party data and behavioral signals.
• Dynamic Sequencing: Automatically determine the next-best message and moment to send, improving engagement and efficiency.
• Cross-Channel Optimization: Coordinate outreach across email and text in a unified, adaptive flow.
• Effortless Execution: Eliminate complex build-outs and ongoing campaign maintenance with plug-and-play strategies that perform from the start.

“We’re excited to be beta testing Wunderkind’s AI Abandonment capabilities at SMCP,” said Erin Pepe, VP of Digital and Customer Experience at SMCP. “It will take the guesswork out of when and how to reach shoppers—optimizing both the timing and the channel automatically—driving more clicks and conversions than classic journeys.”

AI Experiences arrives at a pivotal time. According to Wunderkind’s 2025 Consumer Insights Report, 87% of shoppers are more likely to purchase from brands that send offers based on their browse and click history. With 95% of website traffic still anonymous, and traditional CRM tools under strain, AI-driven, identity-based outreach and decisioning has never been more critical.

For CRM, lifecycle, and digital marketers seeking higher-impact triggered campaigns with fewer constraints, Wunderkind AI Experiences offers a performance marketing advantage rooted in automation, adaptability, and scale.

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