The chatbot era gave us clunky menus and robotic voices. ZVOX thinks it can do better. The company has rolled out its AI Voice Agents, pitching them as a smarter, more human alternative to both chatbots and outdated call-center IVR systems.

Instead of generic scripts, ZVOX has built industry-specific AI agents designed to handle real customer conversations with nuance, context, and follow-up. In other words, it’s automation with a bedside manner.

Agents With Jobs, Not Just Voices

At launch, ZVOX is debuting four AI voice agents—each focused on a vertical where poor service usually means lost customers (and lost revenue):

• Laura: Guides home warranty customers.

• Steven: Handles auto insurance, from instant quotes to policy qualifications.

• Rachel: Breaks down complex life insurance questions.

• Kevin: Assists banks and financial institutions with loan processing.

Unlike standard bots, these agents aren’t reading from a script. They tap into domain-specific knowledge and natural language processing to ask clarifying questions, tailor responses, and push conversations toward informed decisions.

Why It Matters Now

The timing isn’t random. A recent industry study found that 67% of customers hang up due to long wait times, while 73% of business leaders rank customer experience as their top priority. The gap between those two stats is where ZVOX hopes to fit in.

For years, call centers have been treated as a cost center—expensive to staff, hard to scale, and quick to frustrate customers. ZVOX wants to flip that narrative, positioning its AI agents as revenue drivers: faster answers, fewer abandoned calls, and customers who leave the interaction feeling heard.

ZVOX’s Pitch

“The availability of ZVOX marks a pivotal moment in our vision to elevate customer experiences through intelligent voice technology,” said CEO Amitt Sharma. CTO Arjit Sachdeva echoed that ambition, calling the platform “engineered for the future of engagement—smarter, faster, and more personal.”

The Bigger Picture

ZVOX isn’t the only company chasing AI-powered customer service. Tech giants from Amazon to Google are embedding conversational AI into their enterprise stacks, while startups like Observe.AI and Replicant are carving out niches in AI-powered contact centers.

What makes ZVOX notable is its industry-specific focus, promising depth over breadth. If it can consistently handle complex conversations in insurance or banking, it could appeal to enterprises where mistakes are expensive and trust is paramount.

The challenge? Proving that “human-like” AI actually feels human enough to satisfy customers who are notoriously unforgiving when a call goes wrong. If ZVOX delivers, businesses may finally have a reason to see their call centers not as a burden, but as a growth channel.

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Typing product names is so 2010. Rezolve Ai (NASDAQ: RZLV), a Microsoft and Google partner specializing in AI-powered commerce, has launched Visual Search—a feature designed to make keyword-based shopping obsolete. Instead of guessing brand names, model numbers, or search terms, shoppers can now just point their phone camera at an item and watch Rezolve’s AI handle the rest.

The move reflects an emerging reality in retail: search isn’t just a box anymore, it’s a conversation. And in Rezolve’s world, that conversation starts with a photo.

From Snap to Shop

Visual Search is built around a few deceptively simple steps:

• Point & find: Snap an item, upload a photo, or drop in a screenshot to discover matches in a retailer’s catalog.

• Conversational layer: Instead of static results, shoppers get contextual prompts, suggestions, and natural-language Q&A.

• Brain Commerce & Brain Checkout integration: Visual discovery flows directly into personalized recommendations and one-tap checkout.

• Cross-channel availability: Works on mobile, web, and even in-store tools for associates.

Behind the scenes, Rezolve’s multimodal AI isn’t just looking at images. It parses text, semantics, and fine-grained product attributes—think fabric, color, style—to find the closest possible match.

Why Rezolve Thinks It’s Different

Plenty of tech companies have dabbled in image-based search (Google Lens, Amazon StyleSnap, Pinterest Lens). Rezolve’s pitch is that it isn’t layering AI on top of retail—it’s built its own foundation.

• Full ownership: Rezolve owns its large language model (LLM) and computer vision stack, avoiding reliance on third-party models.

• Patented reliability: Proprietary patents aim to prevent “hallucinations” and ensure explainable, trustworthy results.

• Commerce-first design: Optimized for huge catalogs, real-time inventory, and fast refresh cycles.

• Closed-loop ecosystem: Tightly linked to Rezolve’s Brain Commerce recommendation engine and Brain Checkout system.

CEO Daniel M. Wagner calls it “the purest form of Conversational Commerce: show us what you want, and we’ll find it.” CTO Dr. Salman Ahmad puts it more bluntly: “Visual Search replaces the outdated keyword box with a dynamic conversation between consumers and retailers.”

Retail Use Cases That Actually Make Sense

Beyond window-dressing demos, Rezolve sees Visual Search powering some very real scenarios:

• From Instagram to cart: Spot a pair of shoes on social, snap, and shop.

• In-store associate tools: Scan an item to check stock, alternatives, or complementary styles.

• Returns & replacements: Point to a worn-out item and find an equivalent in seconds.

• Data enrichment: Retailers get automatic catalog tagging, richer metadata, and better personalization.

The Bigger Picture

If Rezolve delivers on speed and accuracy, this could be a differentiator for retailers fighting to keep up with Amazon and TikTok Shop. The holy grail is collapsing the “inspiration-to-purchase” gap—a trend analysts say is reshaping ecommerce as younger shoppers skip keywords altogether in favor of visual and conversational tools.

The challenge? Convincing retailers to invest in Rezolve’s ecosystem over more familiar players like Google Lens. But Rezolve’s enterprise-first focus and promise of closed-loop commerce may be enough to win retailers looking for tighter control over customer journeys and data.

For consumers, it comes down to one thing: the next time you can’t remember the name of that sofa or sneaker, pointing your camera might be all it takes to buy it.

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Enterprise IT and creative agencies don’t usually share the same playbook. But Kyndryl (NYSE: KD) and VML, a WPP company (NYSE: WPP), are betting that a mashup of infrastructure muscle and customer experience design could be the key to future-proofing brands.

The two companies announced a new partnership this week aimed at reimagining customer engagement through a mix of AI, data, and design. The idea: combine Kyndryl’s deep technical expertise with VML’s brand and digital transformation chops to help enterprises move from pilot projects to personalized customer experiences at scale.

Breaking Down the Walls Between IT and CX

At the heart of the collaboration is Kyndryl Consult and Kyndryl Vital, which bring advisory and co-creation services for business and infrastructure transformation. On the creative side, VML Enterprise Solutions brings its “experience transformation” know-how, powered by WPP Open, the company’s AI-driven operating system.

Together, the companies want to help brands do something most still struggle with: connect messy back-end systems with sleek front-end customer journeys. “Customer expectations are evolving faster than ever,” said Ismail Amla, SVP of Kyndryl Consult. “Our partnership with VML is about removing the friction that slows down experience transformation.”

Kyndryl adds engineering depth, infrastructure management, and Kyndryl Bridge, its AI-powered integration platform. VML contributes real-time data tools, design expertise, and an ecosystem of digital solutions. The pitch is an end-to-end experience pipeline: from idea to proof of concept to delivery at enterprise scale.

Use Cases Across Industries

The companies are targeting sectors where customer experience can make or break loyalty:

• Financial Services: Using AI agents from Kyndryl’s Agentic AI Framework and WPP Open to orchestrate customer data, improve personalization, and navigate compliance-heavy environments.

• Retail: Helping retailers unify order management, CRM, and customer data platforms to deliver personalized omnichannel experiences while boosting data security.

The joint approach emphasizes deploying mixed “squads” of designers, AI specialists, developers, and engineers—a model borrowed from agile startups but applied to Fortune 500-scale challenges.

Why This Partnership Matters

AI hype is everywhere, but many enterprises are stuck in pilot purgatory: proof-of-concept projects that never scale. Kyndryl and VML are positioning themselves as the duo that can break that logjam, bringing both infrastructure reliability and creative vision to the table.

Competitors like Accenture and Deloitte are also trying to bridge the IT-CX divide, but Kyndryl and VML’s pitch leans heavily on integration and speed—essential in markets where personalization and seamless digital experiences are no longer nice-to-have.

As VML Global CEO Jeff Geheb put it: “Together, VML and Kyndryl are breaking down silos, integrating talent and services and ultimately simplifying the path from idea to delivery.”

The Bottom Line

For enterprises, the partnership could mean less handoff between IT vendors and creative agencies—and more cohesive, AI-powered customer experiences. Whether banks, retailers, and other verticals bite will depend on execution, but one thing is clear: brands that fail to link back-end data with front-end interactions risk falling behind in a customer-first economy.

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Adobe isn’t just dabbling in AI—it’s embedding it across nearly every layer of enterprise marketing. The company says 99% of Fortune 100 companies have already used AI inside an Adobe app, with adoption accelerating across top accounts for GenStudio for Performance Marketing, Firefly Services, and Acrobat AI Assistant.

That makes Adobe one of the clearest winners in the generative AI land grab. Where rivals are still pitching pilots, Adobe is touting real adoption, measurable ROI, and some of the world’s biggest brands as reference customers.

The Enterprise AI Stampede

“AI is no longer a future bet, it’s a competitive advantage today,” said Anil Chakravarthy, president of Adobe’s Digital Experience business. The pressure is real: enterprises need to pump out more content, across more channels, faster than ever before. With attention spans measured in seconds, the ability to generate, personalize, and distribute creative assets at scale is quickly becoming table stakes.

Adobe’s pitch is that its unified AI platform—spanning creativity, marketing, and productivity—lets companies do exactly that. Unlike point solutions that plug AI into a single tool, Adobe is positioning itself as the full-stack provider that connects creative output, campaign orchestration, and decision-making.

Partners and Proof Points

The numbers are strong: nearly 90% of Adobe’s top 50 enterprise customers have adopted at least one AI-first product, and more than 40% have doubled their recurring spend with Adobe since fiscal 2023.

Big-name brands are already putting that spend to work:

• IBM reports Firefly cut content costs by 80% and slashed campaign ideation from weeks to two days.

• ServiceNow is using Adobe’s “agentic AI” alongside Microsoft 365 Copilot to push out faster, more data-driven campaigns.

• Coca-Cola, PepsiCo/Gatorade, The Estée Lauder Companies, NFL, and Prudential Financial are among the growing list of enterprise adopters.

Charles Lamanna, corporate VP at Microsoft, framed the collaboration this way: “These agentic solutions, built on Adobe’s unified AI platform and Microsoft 365 Copilot, reflect our shared belief in AI’s power to amplify creativity and deliver business impact.”

Why It Matters

The marketing technology arms race is heating up. Salesforce is leaning on Einstein GPT, HubSpot is building AI into its CRM, and Canva is chasing creative teams with Magic Studio. But Adobe has something the others don’t: decades of creative dominance and direct access to the designers and marketers now tasked with operationalizing AI at scale.

That moat is significant. While competitors promise efficiency, Adobe’s tools promise efficiency plus brand consistency—a top concern for enterprises with reputations to protect.

Bottom Line

Adobe’s AI adoption stats show that generative AI isn’t just experimental anymore—it’s operational. For Fortune 100 companies, AI is fast becoming the backbone of modern marketing campaigns, and Adobe is making the case that its platform is the one to beat.

The question is less “will enterprises adopt AI?” and more “which AI platform will they bet their brand on?” Right now, Adobe’s looking like the safest bet in town.

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SmartMoving, the Inc. 5000-ranked profitability platform for moving companies, is expanding its all-in-one system with two AI-driven features: Smart Scout and Smart Marketing. The aim is simple—help movers capture more leads, convert faster, and grow revenue without adding headcount or juggling multiple tools.

“In this business, the company that follows up first usually wins the job,” said CEO Tobe Thompson. “Most movers are on the truck or in the field when a lead comes in. Smart Scout and Smart Marketing make sure no lead gets left behind and no competitor gets there first.”

AI-Powered Lead Capture and Sales Support

Smart Scout acts as an around-the-clock AI sales assistant. It answers calls, qualifies leads, and sends real-time quotes, all synced directly with SmartMoving’s CRM. Capable of handling multiple languages, the tool ensures every lead is followed up and nothing slips through the cracks—a crucial advantage in an industry where timing can make or break a booking.

Automated Marketing, Without the Extra Work

Smart Marketing allows movers to run automated, personalized email campaigns straight from their CRM. From upselling additional services to re-engaging past customers and closing pending estimates, the feature reduces the need for third-party marketing tools while keeping communication timely and targeted.

A Unified System for Every Aspect of the Move

SmartMoving already handles quoting, crew management, scheduling, and payment processing. With these new additions, movers can now:

• Generate quotes in minutes instead of hours

• Automate follow-ups and deposit collections

• Manage real-time scheduling across trucks and crews

• Keep customers updated without endless phone calls

• Request instant reviews after every job

• Track profit margins per job and crew

By combining lead capture, sales, and marketing in a single platform, SmartMoving positions itself as a one-stop solution for moving companies looking to streamline operations while boosting revenue. In a market where efficiency and responsiveness directly affect growth, these AI tools could give movers a competitive edge.

Monte Carlo, a leader in data and AI observability, has named Wayne Jin as Chief Marketing Officer, bringing over 20 years of experience in marketing and growth at top-tier tech companies. Jin will oversee global marketing efforts, including brand strategy, product marketing, demand generation, and communications, as Monte Carlo scales its platform and expands adoption of trusted AI products.

“I’m thrilled to be joining Monte Carlo, a market-defining company helping organizations build trust in their data and AI,” said Jin. “I’ve long admired Monte Carlo’s customer-centric approach and commitment to innovation. I’m excited to help scale the company’s marketing impact at such a pivotal moment for the industry.”

Proven Marketing Leadership

Jin joins Monte Carlo from Grafana Labs, where he scaled the observability platform to thousands of customers as VP of Product Marketing. His background also includes senior marketing roles at AppDynamics, GitHub, and Google Cloud, where he led global campaigns, built product marketing functions, and drove enterprise adoption.

“Wayne combines a vision for the future of our space with the execution skills to match,” said Monte Carlo CEO Barr Moses. “His experience building global brands makes him the ideal partner as we continue to define the data + AI observability category.”

Expanding the Data + AI Observability Frontier

Jin’s appointment coincides with Monte Carlo’s launch of Agent Observability, the industry’s first platform offering end-to-end visibility across both data and AI stacks. The tool enables teams to detect, triage, and resolve AI reliability issues in production, reducing downtime, protecting customer trust, and ensuring AI outputs are accurate and reliable. With this release, Monte Carlo becomes the first vendor to unify observability across data and AI in a single platform—a critical differentiator as AI-powered products become mainstream.

As Monte Carlo continues to grow its customer base and lead the data + AI observability market, Jin’s marketing leadership is poised to amplify the company’s visibility, drive adoption, and solidify its position as a category-defining player.

Coherent Solutions, a global digital solutions engineering company, has unveiled The Norm, a new digital experience (DX) agency aimed at delivering purposeful, outcome-driven design services. The Norm combines a team of 30+ certified UX/UI professionals with Coherent’s global pool of product managers, analysts, and engineers, ensuring that creativity meets practical implementation.

Unlike traditional design agencies that often prioritize theory over execution, The Norm focuses on designs that reach production and meet concrete business objectives. The approach promises reliable, cost-efficient delivery from idea to implementation—a key differentiator for clients seeking tangible results.

Extraordinary Design Meets Engineering Rigor

“Design is not just about decoration and aesthetics but creating something functional and impactful,” said Katya Sevruk, Managing Director and Founder of The Norm. “‘Extraordinary is our norm’ reflects our mission to deliver digital experiences that empower users and achieve real business outcomes.”

By leveraging Coherent Solutions’ engineering resources, The Norm bridges the gap between vision and product reality. This positions the agency as an attractive partner for:

• Startups looking to validate ideas and achieve product-market fit

• Scale-ups aiming to evolve efficiently

• Enterprises modernizing legacy systems or optimizing product portfolios

A New Standard in DX

“This launch marks the next milestone in Coherent Solutions’ 30-year journey,” said CEO Igor Epshteyn. “Rebranding our UX/UI services as The Norm continues our commitment to digital value creation that drives client growth.”

With its focus on outcome ownership, scalable solutions, and extraordinary digital experiences, The Norm aims to set a new benchmark in digital experience design—where every design is not just seen, but built to perform.

Mountaingate Capital-backed Interluxe Group and North & Warren have completed the acquisition of Quinn, a luxury-focused strategic communications agency, forming a comprehensive marketing platform for high-end brands. The move integrates audience data with best-in-class strategy, media, digital marketing, experiential, and communications capabilities.

Founded in 1989, Quinn has a global footprint with offices in New York, Miami, Los Angeles, and London. The agency has worked with luxury heavyweights including VistaJet, Fraser Yachts, Regent Seven Seas Cruises, Mandarin Oriental, St. Regis, and Stag’s Leap Wine Cellars. Its offerings span storytelling, earned media, brand partnerships, influencer marketing, and thought leadership—providing clients with end-to-end engagement solutions.

Strategic Partnership Strengthens Luxury Marketing

The partnership between Interluxe Group and North & Warren, initially formed in January 2025 with investment from Mountaingate, now expands through Quinn to deliver an integrated luxury marketing solution. The combined entity employs more than 150 team members across North America and Europe and delivers strategy, in-person activation, lifestyle media, digital marketing, and strategic communications.

“From our first meeting with Florence and the Quinn leadership team, there was a shared vision: deliver best-in-class solutions to luxury brands,” said Nick Van Sicklen and Matt Caroll, Founders of North & Warren. “The cultural and strategic alignment made this partnership a perfect fit.”

Florence Quinn, Founder and President of Quinn, added, “This partnership marks an exciting new chapter. By joining forces with Interluxe Group and North & Warren, we can leverage their expertise to better serve our clients.”

Emma Gwyther, Founder & President of Interluxe Group, emphasized the synergy: “Storytelling and experiential are most powerful when they work hand in hand. Partnering with Quinn allows us to bring that vision to life in new ways.”

Financial advisory for the deal came from Canaccord Genuity for North & Warren and Interluxe Group and TobinLeff for Quinn. Legal counsel was provided by Wilmer Cutler Pickering Hale and Dorr LLP.

The acquisition positions the combined entity as a leading force in luxury marketing, offering brands an integrated, data-driven approach to storytelling, media, and digital engagement across global markets.