Principal AI Solutions Architect - Customer Success

Stripe, Meta, Walmart, and Shopify are building the infrastructure for AI agents to shop for you. A wave of new protocols and integrations is turning AI assistants into autonomous shoppers, with agentic purchases through Stripe Link surging 38-fold in a single month. 2 hours ago Meta official logo (public domain, Wikimedia Commons) - CryptoBriefing brand treatment Sponsored: Vera - AI-powered prediction market intelligence, built for serious analysts Explore Vera A coalition of major technology and retail companies is quietly rewriting the rules of online commerce, moving from a world where you click "buy" to one where your AI agent does it while you're doing something else entirely. Meta, Sierra, Genesys, Rocket, Shopify, and Walmart have announced work on the Personal Agent Protocol, an open standard designed to let personal AI agents interact directly with businesses on behalf of their users. The numbers behind the shift. The commercial stakes are not abstract. Stripe's Link digital wallet, which counts approximately 300 million users and connects to around 1 million merchants, has seen agentic purchases surge 38-fold over the past month leading into late September 2026. Meta's AI assistant, Muse, launched on September 8, 2026, as the first personal agent to integrate with Stripe Link, giving it the ability to complete purchases through one-time virtual cards or stored payment credentials. Within two weeks of launch, Muse added Shop Pay and PayPal integrations, and it became the first agent to offer purchase protections to users. Walmart is positioned as a major connector within the Muse ecosystem alongside other large retailers. AI, tech, and the markets they move - in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. A fragmented standards race. Walmart and Shopify are also participants in the Universal Commerce Protocol, co-developed with Google, Target, Etsy, and Wayfair, which is designed to cover the full arc of an agent-initiated checkout process. Stripe, for its part, co-developed the Agentic Commerce Protocol with OpenAI, released under Apache 2.0 in September 2025, to streamline checkout flows for AI-driven transactions. Stripe also launched the Machine Payment Protocol with Tempo in March 2026 to address how machines, rather than humans, handle payment initiation. Genesys expanded its own collaborations with Meta and others in September 2026, focusing on agentic customer experience orchestration using protocols including A2A and MCP. What this adds up to is a landscape where several overlapping and competing protocols are vying to become the standard layer through which AI agents transact, with no single framework yet dominant. Why this matters beyond the tech. The shift from chat-based AI assistants to transaction-capable agents is a structural change in how consumers engage with retail. A chatbot that recommends a product is useful; an agent that buys it, tracks shipping, and handles returns on your behalf is a different category of tool entirely. Muse's decision to include purchase protections from the start signals that the companies building these agents understand that trust is the real bottleneck to mass adoption, not the technology itself. Disclosure: This article was edited by Diego Almada Lopez. For more information on how Cryptobriefing create and review content, see its Editorial Policy.

Genesys recognized as a Leader in the 2026 IDC MarketScape for Worldwide Conversational Intelligence and Analytics. Repeat recognition highlights strengths in platform breadth and unification and pace of innovation SAN FRANCISCO, Oct. 6, 2026 - Genesys(R), a global leader in Agentic Orchestration for Customer Experience (CX), is positioned as a Leader in the IDC MarketScape(TM): Worldwide Conversational Intelligence and Analytics Software 2026 Vendor Assessment[1]. This is the second time Genesys was named a Leader in this MarketScape, following its recognition in the IDC MarketScape: Worldwide Conversational Intelligence and Analytics 2024 Vendor Assessment[2]. The IDC MarketScape: Worldwide Conversational Intelligence and Analytics Software 2026 Vendor Assessment[1] marks the sixth AI IDC MarketScape where Genesys was named a Leader[3,4,5,6] in three years' time. This recognition comes as conversational intelligence assumes a broader role in enterprise AI. Looking ahead, the IDC MarketScape states, "IDC believes that conversational intelligence and analytics tools will provide a key foundation for agentic systems, and in fact, some vendors that formerly fit squarely into this evaluation's requirements are refocusing on providing AI agents instead." The IDC MarketScape noted platform breadth, unification and pace of innovation as strengths of Genesys. The IDC MarketScape states, "This continues to be a strength as Genesys Cloud CX combines conversational analytics, customer journey analytics, AI agent assistance, and workforce engagement management in a single platform, backed by substantial R&D investment and a weekly continuous-deployment cadence. Customers report selecting Genesys specifically for this platform unification aspect." "Enterprise AI has reached a paradox. The more AI organizations deploy, the harder it can become to deliver one seamless customer experience," said Mike Szilagyi, senior vice president and head of product at Genesys. "Genesys Cloud addresses that complexity by connecting AI, people, systems and data through Agentic Orchestration to drive better customer and business outcomes. We believe our continued recognition as a Leader by IDC MarketScape reflects the strength of that approach." The IDC MarketScape said organizations should "consider Genesys when platform unification and vendor consolidation are a priority, especially for conversational analytics related to AI-powered customer support or other front-office use cases, such as sales or marketing. Genesys is a strong fit for organizations that value a fast, weekly release cadence and are willing to engage proactively with a team that will provide in-depth partnership and support." "Genesys continues to expand the role conversational intelligence can play across the customer experiences driven by its platform," said Hayley Sutherland, research manager, Conversational AI at IDC. "The Genesys Cloud platform's combination of conversational analytics, journey insights, AI assistance and workforce capabilities has the potential to give organizations a broader view of interactions and the opportunity to turn those insights into action." About IDC MarketScape IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of technology and service suppliers in a given market. The research methodology uses a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor's position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors. About Genesys Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud(TM) is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai. (C) 2026 Genesys. All rights reserved. Genesys, the Genesys logo, Genesys Cloud and Genesys Cloud CX are trademarks, service marks and/or registered trademarks of Genesys. All other company names and logos may be registered trademarks or trademarks of their respective companies. [3] IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2025 Vendor Assessment, Doc #US52972625, September 2025 Media Contacts:

How contract lifecycle management (CLM) helps scale the contract process. Published Oct 5, 2026 Modernizing contract lifecycle management with connected, AI-powered platforms helps enterprise organizations break down contract silos, extract valuable data insights, and transform contracts into strategic business assets. For many organizations, the costs of siloed agreements are everywhere. Contracts are scattered across systems, approval processes rely on manual handoffs, and business information is trapped in static documents, resulting in limited visibility, delays, and business risk. As organizations grow and their contracting processes become more complex, these challenges only compound. At the same time, the rise of AI is raising expectations around speed, efficiency, and business intelligence. Yet AI can deliver meaningful value only when it has access to complete, connected agreement data. According to 2026 research by Deloitte and Docusign, companies using agentic workflows within an end-to-end agreement platform realize nearly 30% higher ROI compared with those using fragmented, point solutions. At the 2026 Docusign Momentum conference, Docusign senior product marketing manager Monica Chan joined Alex Miller, senior legal operations manager at Genesys, and Anushay Wahab, senior principal at Slalom, to discuss how organizations can unlock new business value by replacing fragmented agreement processes with an intelligent agreement management platform. Many organizations rely on manual contract processes until compliance requirements or data visibility challenges expose the limitations of this approach. Slalom, a global business technology company, has helped organizations implement over 300 contract lifecycle management (CLM) systems. While assisting with these implementations, Wahab has noticed a common pattern across organizations of all sizes: Many rely on tedious manual agreement processes. "Agreements are the backbone of every business, but they're still one of the last areas that organizations really think to modernize," she said. Many mature organizations tolerate inefficient contracting processes for years. Email chains, manual approvals, and offline redlining create friction, but not always enough to trigger immediate change. The turning point often comes when compliance requirements or data visibility challenges expose the limitations of their existing processes. At this time, organizations may attempt to manage contracts within their customer relationship management or enterprise resource planning system before realizing that it is insufficient for complex agreement needs. "What they really need is a scalable, maintainable agreement framework, with structured data and support for self-service workflows and redlining." Anushay WahabSenior Principal, Slalom Three benefits of contract lifecycle management software. A CLM system makes a scalable agreement framework possible. According to Wahab, organizations quickly see value in three areas after implementing CLM. * Self-service workflows. Business users can generate and route common agreements without relying on legal teams for every transaction. Standard documents such as non-disclosure agreements, master service agreements, and statements of work can move through the organization more efficiently. * Greater visibility into contract performance. Teams can track cycle times, identify bottlenecks, monitor risks, and better understand contractual obligations. * Data. Organizations can understand how their contract processes actually function in practice. Rather than relying on assumptions, teams can make informed decisions about future process improvements. How AI contract analysis surfaces insights at scale. For Miller and the legal operations team at Genesys, Docusign CLM has become a foundational component of the company's agreement management strategy, alongside Docusign eSignature. Although CLM has been integral in creating a centralized storage system for Genesys' contracts, Miller wanted to make the company's agreement management process more impactful by gaining access to valuable contract data. This ultimately led the team to explore Docusign Intelligent Agreement Management (IAM). According to Miller, one of the platform's most compelling advantages was its ability to build on existing technology like CLM to extend capabilities. Miller also knew it would be easy to implement IAM because of its user-friendly interface and the fact that no coding or heavy configuration was required. "The IAM platform just sits on top of what you've already built and really supercharges it," she said. By adding an AI-powered layer on top of existing agreement processes, organizations can extend the value of their CLM investment by extracting, structuring, and connecting contract data, without disrupting established workflows. Genesys, for example, created a more complete view of its legacy agreements and surfaced insights far more quickly and at a scale that wasn't previously achievable with CLM alone. "The data foundation is really what sets apart the organizations that are able to get value from AI from the ones that are talking about it." Anushay WahabSenior Principal, Slalom Turning contract data into business decisions. Traditionally, contracts have been thought of as static foundational documents for business transactions. Now, according to Wahab, organizations are viewing agreements as strategic assets. With more insight into the content of these agreements, organizations can better understand their risks, obligations, and required next actions, creating efficiencies for teams across the enterprise. "Ultimately, agreements touch every part of the business process," said Wahab. "When you're modernizing how you manage them, you're not just modernizing your contract lifecycle processes but how your organization operates as a whole." This mirrors the holistic approach Miller is taking at Genesys. "We want to make sure the business has the data and information it needs to make the best risk decisions, scale, and grow revenue, and we want them to be able to do that in real time," said Miller. "We really want agreements to stop being a back-office process that nobody knows much about and make it a strategic lever for the business." For enterprises looking to modernize operations, breaking down agreement silos may be one of the most important steps toward building a more intelligent, connected business. Frequently asked questions. How can a contract lifecycle management (CLM) solution help companies scale the contract process? CLM provides a structured framework for creating, routing, negotiating, and managing agreements. This means sales and procurement teams can easily generate agreements through standardized workflows, freeing legal to focus on high-value tasks for faster agreement cycles. How can organizations enhance their agreement processes with AI? By adding AI capabilities on top of an existing contract lifecycle management solution like Docusign CLM, teams can surface valuable information stored in their contracts without changing established workflows. How can companies turn agreements into strategic business assets? Agreement management solutions like Docusign IAM connect contract data across the business, providing legal teams with greater visibility into obligations, risks, and opportunities. With timely and accurate insights, legal and other business teams can act strategically to minimize risk, grow revenue, and scale.