Motorola's bringing its Qira AI assistant to more phones. It's pretty clear nowadays that each and every single smartphone manufacturer on the market will find some way to bring AI into their products, both in terms of hardware and software integration. Take for example Motorola, which recently announced an upcoming expansion of its Qira AI assistant with its pending Android 17 update. As such, Qira will soon be available to select devices under Motorola's signature, razr, and edge product lines. By maintaining contextual awareness with user permission, Motorola says that Qira is programmed to remember saved files, preferences, and synced information to eliminate the need to retype details or manually search for files across different devices. Users can also summon the assistant hands-free using the wake word "Hey Qira," through on-screen entry points, or via a dedicated AI key on supported hardware. Qira also comes baked in with a number of AI tools, which include the "Catch me up" feature which summarizes missed notifications, updates, and messages, "Pay Attention" which records, transcribes, and summarizes important meetings, and "Next Move" which provides suggestions such as recapping a blog post, setting travel reminders, or creating packing lists. For creative tasks, "Creator Zone" and "Style Sync" allow users to generate custom wallpapers, stickers, avatars, and visual assets, including the ability to snap a photo of an outfit to design a matching phone wallpaper. Motorola has also teamed up with Workato to integrate Qira with select applications and services, allowing users to find key info and complete tasks directly.

TL;DR: AI-native vs AI bolt-on. Lynk AI is an agent-first automation platform whose reasoning runtime interprets every workflow end-to-end; Workato's Genie is an agent orchestration layer that sits on top of Workato's recipe engine and its 1,000+ connectors. The verdict: Workato remains the correct pick for teams whose value comes from orchestrating a stable set of SaaS systems on predictable schedules. Lynk fits teams whose work involves reading unstructured inputs and acting across systems whose schemas move faster than a recipe editor can keep up. Workato's Genies work - until an inbound signal doesn't match a pre-defined Skill. Then reasoning stops at the recipe boundary and a human steps in. Where Workato shines. Workato earned its place in the iPaaS market on execution. The connector library is deep. Over 1,000 apps ship out of the box, each maintained by Workato's team rather than the community. Enterprise customers get real governance: role-based access, environment separation, audit trails, and SOC 2 controls that survive an actual security review. The recipe editor is one of the more approachable low-code builders in the category; a business analyst can wire up a Salesforce-to-NetSuite sync without reading a docs page. The runtime is deterministic. A recipe that ran cleanly yesterday runs cleanly today, which matters when the workflow processes payroll or moves invoices. How Workato added AI. Workato Genie is Workato's AI agent product, unveiled at World of Workato 2025 alongside a lineup of pre-built vertical agents. A Genie packages a language model with Workato's existing recipe library. It adds a knowledge base for grounding and event triggers from ERPs and CRMs to signal when to act. The architecture is a layer on top of the recipe engine rather than a rewrite of the engine itself. AIRO, Workato's multi-agent orchestration experience, went generally available in July 2026, and the Enterprise MCP platform followed the same year, letting Claude and ChatGPT act on Workato apps through a governed proxy. The core remains what it was: recipes wearing an AI hat. Where Workato runs out of road. Workato's limits show up wherever a workflow needs judgment. The platform's CSV parsing tool caps at 50,000 records and Lookup Tables cap at 100,000. That works for reference data and hurts on the read an inbound file and figure out what to do with it jobs teams actually get stuck on. Task-based pricing punishes high-volume work; G2 reviewers list it as their top gripe. Log visibility is thin. Multiple reviewers report contacting support for detailed error traces, and the platform lacks Git-style versioning for teams treating recipes as source code. Jobs have a 90-minute timeout and queues over 10,000 get purged, which forces long-running work into brittle chunks. Genies inherit all of this because they invoke recipes underneath. What AI-native means in Lynk. Lynk AI is built agent-first, meaning the reasoning runtime interprets each workflow rather than sitting on top of a recipe engine. The platform reads an inbound email and figures out what to do with it. There is no AI node that gets dropped onto a canvas next to a hundred triggers, because there is no canvas of triggers in the first place. When a support ticket arrives with a shape nobody planned for, Lynk parses it, decides which system to touch, drafts a response, and either executes or hands off - without a Workato-style Skill precisely matching that intent having been authored first. The agent's context is the workflow. Recipes are what it writes for itself. The bolt-on tax. Workato Genies pay their bolt-on tax on specific tasks, all of which require judgment beyond a pre-authored Skill. Unstructured input, whether a supplier PDF or a customer reply, has to be parsed into a recipe-friendly shape before Workato can act on it; Lynk reads it in place. Novel input variants, like a new document layout or a schema drift from a partner API, require a recipe update in Workato and no code change in Lynk. Multi-system decisions such as if the CRM says X and the billing system says Y, do Z are one prompt for the Lynk agent and a branching recipe with dependent lookups in Workato. Exceptions are the hardest case. Workato surfaces the error and stops; Lynk reasons about it and often recovers. Where Workato still wins. If the workflow is orchestration across a fixed set of SaaS systems with stable schemas, Workato is often the right choice. Integration teams at enterprises with hundreds of internal apps benefit from the connector coverage and the governance model. Regulated industries that need every action logged and every recipe reviewed will find the audit surface mature. Teams that already own Workato and have built a recipe library deep enough to be strategic infrastructure should keep building on it; Genies extend the existing investment rather than replace it. The buyer profile is clear: predictable inputs and known schemas, with a strong preference for a deterministic engine that will not surprise the compliance officer. Decision guide. The choice between Workato and Lynk AI comes down to the shape of your inputs and where the reasoning needs to happen. Pick Workato if: * Your workflows connect a stable set of SaaS systems on predictable schedules and your inputs arrive in structured formats. * Your organization has an integration center of excellence and treats recipe libraries as first-class internal infrastructure. * You need enterprise governance (SOC 2, RBAC, environment separation, full audit trails) as a hard buyer requirement. Pick Lynk if: * Your workflows depend on reading unstructured inputs like emails, PDFs, or chat threads and deciding what to do with them. * Your teams spend real time patching integrations around schema drift, edge cases, and exception handling. * You want one agent runtime that reasons across systems rather than a canvas of recipes plus a Skills layer. Want to see Lynk against your own workflow? Book a build session and JediTeck'll prototype it in front of you. Frequently asked questions. How does Workato compare to Lynk AI? Workato is a recipe-based iPaaS with a Genie agent layer over 1,000+ connectors. Lynk AI is agent-first: reasoning runs the whole workflow instead of a canvas module. When should I pick Workato over Lynk? Pick Workato over Lynk when workflows connect stable SaaS systems on structured inputs and the buying committee needs enterprise governance and audit logs. Is Workato Genie different from Lynk's agent runtime? Yes. Workato Genie invokes Skills that map to recipe calls, so reasoning ends where the Skill library ends. Lynk's runtime reasons about the whole task. What does Workato cost vs Lynk? Workato prices per task, a top G2 gripe at high volume. Lynk prices against agent work, which changes the math for workflows dominated by many small API calls.

UST recognized as workato Platinum Partner for Enterprise AI and integration excellence. Sep 10, 2026, 09:00 ET ~Prestigious designation acknowledges UST's outstanding integration and AI orchestration capabilities~ ALISO VIEJO, Calif., Sept. 10, 2026 /PRNewswire/ - UST, a leading AI and technology transformation solutions company, has obtained Platinum Partner status with Workato, a leading control and execution platform for enterprise AI. This is the highest partnership tier in Workato's partner program and is a recognition of the close ties between the two companies as well as their legacy of successful collaboration in the enterprise AI space. The dynamic partnership pairs UST's digital transformation expertise and consistent record of innovation with Workato's leading enterprise orchestration and integration platform to help organizations connect disparate systems and accelerate AI transformation. As both a partner and a customer, UST has a deep relationship with Workato and applies the company's AI-powered integration to its own IT environment. Workato's architecture allows IT and business teams to orchestrate processes, AI, and workflows and build API-led integrations on a single platform under enterprise-grade security and governance. As a result, clients gain the ability to more rapidly respond to market changes, eliminate silos, and fund innovation while still lowering operational costs. "Workato gives organizations a streamlined platform for integration, workflows, and AI agents, while UST brings the transformation experience to put these breakthroughs to work at scale. Together we are helping organizations move from simply connecting systems to orchestrating the systematic application of AI across their entire business. Platinum Partner status validates the success of a partnership that is already delivering tangible results to clients." said Krishna Prasad, Chief Strategy Officer and Chief Information Officer, UST. "UST's Platinum Partner status is a reflection of the depth of technical expertise and enterprise-grade rigor they bring to every engagement. By migrating their own integration estate onto Workato, UST has proven firsthand the value of the platform they help our shared customers scale. We're excited to deepen this partnership and work together to help more enterprises orchestrate AI across their operations." said David Ng, Global Vice President, Partner GTM & Alliances, Workato. As Platinum Partners, UST and Workato will continue their close collaboration to deepen joint capabilities across integration, modernization, and AI orchestration. Since 1999, UST has worked side by side with the world's best companies to make a powerful impact through transformation. Powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients' organizations - delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact - touching billions of lives in the process. Visit us at www.UST.com. About Workato Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Stephanie Rosenfeld +1 (949) 627-1941 Merrick Laravea +1 (949) 416-6212 Neha Misri +44-7341787926 SomSekhar CV +91-9037888244 Roshni Das K +91-7736795557 SOURCE UST