
Zip Unveils Suite of 50 AI Agents to Automate High-Impact Tasks Across Finance, Legal, Procurement, IT, and Security
SAN FRANCISCO--(BUSINESS WIRE)-- Zip, the AI platform for procurement, today unveiled a groundbreaking suite of 50 purpose-built AI agents at its inaugural Zip AI Summit in Brooklyn, New York. Leveraging Zip's agentic AI suite for procurement, companies can now eliminate millions of hours of manual, tedious work currently plaguing every department across the enterprise – from tariff assessments to contract reviews, compliance checks, and more. With this launch, Zip introduces agentic procurement orchestration, a breakthrough new category that automates the entire purchasing process, giving the world's largest organizations a competitive edge in an increasingly volatile and resource-tight global market.
'Zip's approach to agentic AI is going to make global companies more secure, save them millions of hours of laborious work, and generate billions in hard-dollar savings,' said Rujul Zaparde, Co-Founder and CEO of Zip.
Procurement represents the second-largest spend category after payroll, yet remarkably few organizations have successfully applied AI, leaving trillions of dollars managed through manual, error-prone processes. Zip, which became the first procurement platform to introduce generative AI features back in 2023, has already helped hundreds of global companies streamline purchasing – delivering over 4.6 million actionable AI insights and saving customers billions. Today's launch represents a fundamental leap forward as Zip moves beyond AI-assisted workflows to deploying intelligent agents that autonomously complete entire tasks on their own.
'Today Zip is cutting through the agentic AI hype with AI agents that actually work,' said Rujul Zaparde, Co-Founder and CEO of Zip. 'Not vague chatbots. Not generic assistants. Real, specialized AI agents that do one job and do it perfectly. Zip's approach to agentic AI is going to make global companies more secure, save them millions of hours of laborious work, and generate billions in hard-dollar savings.'
OpenAI, Canva, Wiz, and Webflow are among the first companies to leverage Zip's groundbreaking AI agents. These and other long-time Zip customers have collaborated closely within the Zip AI Lab – launched during the company's landmark Series D funding round – flagging pain points across the purchasing lifecycle that the platform now addresses autonomously.
'We've worked closely with the Zip team to power their agentic platform and it's been really exciting to see how quickly they've turned real-world procurement pain points into focused AI task agents with our APIs,' said Kathryn Devlin, Head of Procure-to-Pay Operations, Travel and Expense at OpenAI. 'As part of our overall collaboration, we're excited to be among the first to integrate their AI agents to help manage spending and drive efficiency across the organization.'
Zip's Agentic AI Suite at a Glance
Zip's suite of 50+ AI agents enables customers to automate complex procurement tasks, including:
AI Agent Builder: Provides an easy, no-code platform to build, customize, deploy and train AI agents.
Tariff Analysis Agent: Dynamically assesses the impact of global trade policies on vendor pricing, helping companies navigate complex international procurement landscapes.
Competitive Research Agent: Surfaces vendor alternatives and market rates to inform smarter, more strategic sourcing decisions.
RFP Generation Agent: Drafts tailored Request for Proposal documents based on specific purchase requirements, dramatically reducing manual preparation time.
DORA Assessment Agent: Screens vendors for DORA exposure and surfaces red flags for legal and procurement.
GDPR Compliance Agent: Flags potential privacy risks in vendor documents, ensuring regulatory compliance.
ESG Profile Agent: Identifies and evaluates ethical and sustainability concerns in potential supplier relationships.
'We live in a world where procurement leaders need to utilize AI for our advantage, and Zip's approach to agentic AI does exactly that,' said Idan Cohen, Technology Procurement at Wiz. 'We'll save so much time on the technical work and day-to-day tasks that we need to do as part of the procurement process, and be enabled to really focus on what we're supposed to do – being a true partner to the business and to our vendors.'
"Zip created an entirely new category of procurement applications, so it is appropriate to see them pressing forward and launching a suite of AI Agents, plus an AI Agent builder, that will drive efficiency, compliance and, ultimately, savings. Shaped by input from many of their hundreds of clients, Zip is providing a pathway to the future of procurement. We can't wait to see Zip Agents in action," said Patrick Reymann, Research Director, Procurement and Enterprise Applications, IDC.
For more information or to request a demo, visit www.ziphq.com/ai.
About Zip
Zip is the world's leading agentic procurement orchestration platform, empowering businesses to accelerate the procurement process, mitigate risk, and drive growth by offering a single front door to unify the teams, tasks, and tools involved in working with suppliers. With Zip, businesses can maximize employee adoption of purchasing policies and increase spend visibility and control. As the leading solution for optimizing business spend, Zip's AI-powered platform is trusted by hundreds of leading enterprises worldwide, including AMD, Anthropic, Coinbase, Discover, Dollar Tree, HP, Instacart, Invesco, Lyft, Northwestern Mutual, Prudential, Reddit, Sephora, and Snowflake to maximize the ROI of every dollar. To learn more, visit ziphq.com.

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Business Wire
an hour ago
- Business Wire
Monumental Energy Announces Completion of Workover and Resumption of Commercial Production at the Copper Moki-2 Oil and Gas Well in New Zealand
VANCOUVER, British Columbia--(BUSINESS WIRE)--Monumental Energy Corp. (' Monumental ' or the ' Company ') (TSX-V: MNRG; FSE: ZA6; OTCQB: MNMRF) is pleased to announce the successful workover and resumption of commercial production at the Copper Moki-2 (CM-2) well, located in the Taranaki Basin, New Zealand. The primary objective of the CM-2 workover was to restore oil and associated gas production from the Mt. Messenger sands and to address flow restrictions identified during prior operations. Additionally, the program included perforating and testing previously untapped hydrocarbon zones. At CM-2, three new intervals have been perforated, which are expected to contribute to significant flush production rates and increase overall output. Early indications confirm the new pump is functioning as expected, with approximately 300 barrels of brine—previously used to maintain pressure—successfully pumped out of the well. The Copper Moki-1 (CM-1) workover is expected to take approximately 10 days. If successful, the well will be placed on continuous production alongside CM-2. Monumental Energy and NZEC anticipate significant flush production rates from both wells. At the time of the original drill program at Copper Moki, New Zealand faced a gas surplus, and the field remained isolated from the gas network. Today, the field has been fully integrated into the gas infrastructure, presenting a meaningful revenue opportunity that was previously unavailable. CM-1 and CM-2 were originally shut-in due to mechanical issues over time, rather than any reservoir-related concerns. The wells required only standard maintenance, and equipment upgrades to resume production. In late 2024, Monumental Energy entered into an agreement with NZEC to bring the wells back online, as NZEC shifted its focus to a gas storage business model. Under the terms of the agreement, Monumental Energy will receive a 25% royalty on all oil and gas production from the Copper Moki site, following full recovery of its 75% initial capital contribution. Oil produced in the Taranaki Basin typically receives a modest discount to Brent Crude (USD $77.39 as of June 20), while natural gas sells at a premium, with current prices ranging between USD $11.00 and $15.00 per MCF—significantly higher than North American market levels. Cumulative production data, measured in barrels of oil equivalent (BOE), will be released in the coming weeks. Max Sali, Vice President of Corporate Development and Director, commented: 'The Copper Moki wells have demonstrated exceptional reservoir performance, with cumulative production approaching one million barrels of oil to date. The successful recompletion of CM-2—including the perforation of three new intervals—is expected to significantly enhance output. We anticipate strong flush volumes and reservoir recharge, further validating the productivity of the Mt. Messenger formation. This positions us for meaningful near-term cash flow while supporting the long-term value proposition for our shareholders.' About Monumental Energy Corp. Monumental Energy Corp. is an exploration company focused on the acquisition, exploration, and development of properties in the critical and clean energy sector, as well as investing in oil and gas projects. The Company owns securities of New Zealand Energy Corp. and entered into a call option and royalty agreement on the Copper Moki wells with New Zealand Energy Corp. The Company also has an option to acquire a 75% interest and title to the Laguna cesium-lithium brine project located in Chile. The Company holds a 2% net smelter return royalty on Summit Nanotech's share of any future lithium production from the Salar de Turi Project. On behalf of the Board of Directors, /s/ 'Michelle DeCecco' Michelle DeCecco, CEO Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release. Forward Looking Information This news release contains 'forward‐looking information or statements' within the meaning of applicable securities laws, which may include, without limitation, completing the Copper Moki 1 & 2 workovers and the expected results, the expected timeline to complete the workovers of Copper Moki 1 & 2 wells, and commencement of production of CM 1 & 2, potential oil and gas transactions, other statements relating to the technical, financial and business prospects of the Company, its projects, its goals and other matters. All statements in this news release, other than statements of historical facts, that address events or developments that the Company expects to occur, are forward-looking statements. Although the Company believes the expectations expressed in such forward-looking statements are based on reasonable assumptions, such statements are not guarantees of future performance and actual results may differ materially from those in the forward-looking statements. Such statements are based on numerous assumptions regarding present and future business strategies and the environment in which the Company will operate in the future, including the price of metals and the price of oil and gas, the ability to achieve its goals, that general business and economic conditions will not change in a material adverse manner and that financing will be available if and when needed and on reasonable terms. Such forward-looking information reflects the Company's views with respect to future events and is subject to risks, uncertainties and assumptions, including the risks and uncertainties relating to the interpretation of exploration results, risks related to the inherent uncertainty of exploration and cost estimates and the potential for unexpected costs and expenses and those other risks filed under the Company's profile on SEDAR+ at While such estimates and assumptions are considered reasonable by the management of the Company, they are inherently subject to significant business, economic, competitive and regulatory uncertainties and risks. Factors that could cause actual results to differ materially from those in forward looking statements include, but are not limited to, continued availability of capital and financing and general economic, market or business conditions, failure to secure personnel and equipment for work programs, adverse weather and climate conditions, risks relating to unanticipated operational difficulties (including failure of equipment or processes to operate in accordance with specifications or expectations, cost escalation, unavailability of materials and equipment, government action or delays in the receipt of government approvals, industrial disturbances or other job action, and unanticipated events related to health, safety and environmental matters), risks relating to inaccurate geological assumptions, failure to maintain or obtain all necessary government permits, approvals and authorizations, failure to obtain or maintain surface access agreements or understandings from local communities, land owners or Indigenous groups, fluctuation in exchange rates, the impact of viruses and diseases on the Company's ability to operate, capital market conditions, restriction on labour and international travel and supply chains, decrease in the price of lithium, cesium and other metals, decrease in the price of oil and gas, loss of key employees, consultants, or directors, failure to maintain or obtain community acceptance (including from the Indigenous communities), increase in costs, litigation, and failure of counterparties to perform their contractual obligations. The Company does not undertake to update forward‐looking statements or forward‐looking information, except as required by law.
Yahoo
an hour ago
- Yahoo
ChatGPT's Impact On Our Brains According to an MIT Study
A visualization of a new study on AI chatbots by MIT Media Lab scholars. Credit - Nataliya Kosmyna Does ChatGPT harm critical thinking abilities? A new study from researchers at MIT's Media Lab has returned some concerning results. The study divided 54 subjects—18 to 39 year-olds from the Boston area—into three groups, and asked them to write several SAT essays using OpenAI's ChatGPT, Google's search engine, and nothing at all, respectively. Researchers used an EEG to record the writers' brain activity across 32 regions, and found that of the three groups, ChatGPT users had the lowest brain engagement and 'consistently underperformed at neural, linguistic, and behavioral levels.' Over the course of several months, ChatGPT users got lazier with each subsequent essay, often resorting to copy-and-paste by the end of the study. The paper suggests that the usage of LLMs could actually harm learning, especially for younger users. The paper has not yet been peer reviewed, and its sample size is relatively small. But its paper's main author Nataliya Kosmyna felt it was important to release the findings to elevate concerns that as society increasingly relies upon LLMs for immediate convenience, long-term brain development may be sacrificed in the process. 'What really motivated me to put it out now before waiting for a full peer review is that I am afraid in 6-8 months, there will be some policymaker who decides, 'let's do GPT kindergarten.' I think that would be absolutely bad and detrimental,' she says. 'Developing brains are at the highest risk.' Read more: A Psychiatrist Posed As a Teen With Therapy Chatbots. The Conversations Were Alarming The MIT Media Lab has recently devoted significant resources to studying different impacts of generative AI tools. Studies from earlier this year, for example, found that generally, the more time users spend talking to ChatGPT, the lonelier they feel. Kosmyna, who has been a full-time research scientist at the MIT Media Lab since 2021, wanted to specifically explore the impacts of using AI for schoolwork, because more and more students are using AI. So she and her colleagues instructed subjects to write 20-minute essays based on SAT prompts, including about the ethics of philanthropy and the pitfalls of having too many choices. The group that wrote essays using ChatGPT all delivered extremely similar essays that lacked original thought, relying on the same expressions and ideas. Two English teachers who assessed the essays called them largely 'soulless.' The EEGs revealed low executive control and attentional engagement. And by their third essay, many of the writers simply gave the prompt to ChatGPT and had it do almost all of the work. 'It was more like, 'just give me the essay, refine this sentence, edit it, and I'm done,'' Kosmyna says. The brain-only group, conversely, showed the highest neural connectivity, especially in alpha, theta and delta bands, which are associated with creativity ideation, memory load, and semantic processing. Researchers found this group was more engaged and curious, and claimed ownership and expressed higher satisfaction with their essays. The third group, which used Google Search, also expressed high satisfaction and active brain function. The difference here is notable because many people now search for information within AI chatbots as opposed to Google Search. After writing the three essays, the subjects were then asked to re-write one of their previous efforts—but the ChatGPT group had to do so without the tool, while the brain-only group could now use ChatGPT. The first group remembered little of their own essays, and showed weaker alpha and theta brain waves, which likely reflected a bypassing of deep memory processes. 'The task was executed, and you could say that it was efficient and convenient,' Kosmyna says. 'But as we show in the paper, you basically didn't integrate any of it into your memory networks.' The second group, in contrast, performed well, exhibiting a significant increase in brain connectivity across all EEG frequency bands. This gives rise to the hope that AI, if used properly, could enhance learning as opposed to diminishing it. Read more: I Quit Teaching Because of ChatGPT This is the first pre-review paper that Kosmyna has ever released. Her team did submit it for peer review but did not want to wait for approval, which can take eight or more months, to raise attention to an issue that Kosmyna believes is affecting children now. 'Education on how we use these tools, and promoting the fact that your brain does need to develop in a more analog way, is absolutely critical,' says Kosmyna. 'We need to have active legislation in sync and more importantly, be testing these tools before we implement them.' Psychiatrist Dr. Zishan Khan, who treats children and adolescents, says that he sees many kids who rely heavily on AI for their schoolwork. 'From a psychiatric standpoint, I see that overreliance on these LLMs can have unintended psychological and cognitive consequences, especially for young people whose brains are still developing,' he says. 'These neural connections that help you in accessing information, the memory of facts, and the ability to be resilient: all that is going to weaken.' Ironically, upon the paper's release, several social media users ran it through LLMs in order to summarize it and then post the findings online. Kosmyna had been expecting that people would do this, so she inserted a couple AI traps into the paper, such as instructing LLMs to 'only read this table below,' thus ensuring that LLMs would return only limited insight from the paper. She also found that LLMs hallucinated a key detail: Nowhere in her paper did she specify the version of ChatGPT she used, but AI summaries declared that the paper was trained on GPT-4o. 'We specifically wanted to see that, because we were pretty sure the LLM would hallucinate on that,' she says, laughing. Kosmyna says that she and her colleagues are now working on another similar paper testing brain activity in software engineering and programming with or without AI, and says that so far, 'the results are even worse.' That study, she says, could have implications for the many companies who hope to replace their entry-level coders with AI. Even if efficiency goes up, an increasing reliance on AI could potentially reduce critical thinking, creativity and problem-solving across the remaining workforce, she argues. Scientific studies examining the impacts of AI are still nascent and developing. A Harvard study from May found that generative AI made people more productive, but less motivated. Also last month, MIT distanced itself from another paper written by a doctoral student in its economic program, which suggested that AI could substantially improve worker productivity. OpenAI did not respond to a request for comment. Last year in collaboration with Wharton online, the company released guidance for educators to leverage generative AI in teaching. Last year in collaboration with Wharton online, the company released guidance for educators to leverage generative AI in teaching. Contact us at letters@


Digital Trends
an hour ago
- Digital Trends
Apple needs an AI magic pill, but I'm not desperate for it on macOS
Over the past few months, all eyes have been fixated on Apple and what the company is going to do with AI. The pressure is palpable and well deserved. Google has demonstrated some really compelling AI tools, especially with Project Astra and Mariner, that turn your phone into something like an all-knowing, forever-present digital companion. The likes of Microsoft, OpenAI, Claude, and even Amazon have shown some next-gen AI chops that make Siri feel like an old prototype. But there is a fine distinction between using AI on phones and how they flesh out on a computing machine, like a MacBook Air. Recommended Videos You don't really talk to an assistant like Siri on a desktop I often run into scenarios where AI is useful on a phone, like Visual Intelligence, which can make sense of the world around you based on what you see through the camera feed. The Mac doesn't really need it, primarily because it lacks a world-facing camera. And second, you can't ergonomically point the Mac's webcam at an object — especially in a public place — like you would with a phone in your hand. But the problem with the whole 'Apple must do AI better' is suited well for mobile devices, and not really Macs, which rely on a fundamentally different mode of input-output, and how we get work done in apps and software. I've used my fair share of AI-first Copilot+ laptops running Windows, and I feel strongly that Apple's AI efforts don't need an urgent focus on macOS, as much as they do on mobile devices, for a few reasons. The Mac is already well fed Bloomberg's Mark Gurman, in the latest edition of his PowerOn newsletter, argued that Perplexity is a nice target for Apple to scoop up an AI lab of its own and get its hands on a ready-made AI stack. Perplexity's answering engine is pretty rewarding, it's not too expensive (by Apple standards), and it works beautifully on iPhones. Over the past couple of quarters, the company has launched a whole bunch of integrations across Telegram and WhatsApp, Deep Research mode, a reasoning AI model, a shopping hub in partnership with Amazon, media generation and image uploads, search through audio and video files, among others. There are just two problems, especially with accessing Perplexity on a Mac. First, it can already do everything in its role via the Mac app and web dashboard, so an integration at a deeper level with Mac won't be solving too many computing problems. Second, ChatGPT is already integrated deeply within Siri and the Apple stack, and it's only a matter of time before both of them step up. Let's be honest here. Perplexity is a cool product, but not exactly revolutionary in the sense that it can elevate the macOS experience significantly. Enterprise AI is a different beast, but for an average user, every AI tool out there — Gemini, ChatGPT, Copilot, Claude, or Perplexity — exists as its own web tool (or app) where you truly get the best out of it. So, what about integrations? Well, they would depend on the tools at hand. A huge chunk of the computing market either relies on Microsoft and its Office tools or Google's Workspace products, such as Docs, Drive, Sheets, and more. From Windows to Office, Copilot is now everywhere. Similar is the situation with Gemini and Google software. Now, millions of Mac users actually use these tools on a daily basis, and Apple doesn't offer a viable replacement of its own. Moreover, there isn't a chance that Google will allow Apple's AI to penetrate deeper into its Workspace than Gemini. Microsoft won't do any different with Copilot and Office. Plus, it's hard to imagine an external AI working better in Docs or PowerPoint than Gemini and Copilot, respectively. The space is already tight, but more importantly, well-fed. And let's not forget, OpenAI and its GPT stack are very much baked at the heart of macOS. If Apple wanted to build integrations, OpenAI offers arguably the most advanced AI tech stack out there. Adding any more AI at the system level would only add to the confusion for an average Mac user, without solving any real problems. The space of an extra AI player on the Mac is tighter for another reason: Apple's Foundation Model framework, which works on-device as well as in cloud-linked format, but with utmost privacy. Apple says it will allow developers to build a 'personal intelligence system that is integrated deeply into iPhone, iPad, and Mac, and enables powerful capabilities across language, images, actions, and personal context.' In a nutshell, Apple's own foundation models are available to developers so that they can build AI experiences in their apps. The best part? It's free. It's not nearly as powerful as the models from OpenAI or Google, but for getting work done locally — like cross-app workflow, intelligent file search, and more — they should come in handy without any privacy scares. The productivity question The M4 MacBook Air is my daily driver these days, and it's a fantastic machine. And I use AI tools heavily on a daily basis. Yet, I have never felt macOS to be an AI bottleneck for me. Every AI tool that I rely on is either already integrated within the software of my choice or available as its dedicated app or website. Yet, the whole notion of turning a product into an AI product baffles me. It makes sense for a phone, like the Pixel 9, but not so much for a laptop. I have tested five Copilot+ Windows machines so far. Yet, the core benefits they offer — snappy performance, instant wake, and long battery life — have little to do with user-facing AI. I was able to use Gemini or Copilot just as fine on a regular Windows laptop as I was able to extract their benefits on a Copilot+ machine with a minimum 45 TOPS AI capability. The Mac is no slouch, and interestingly, all the AI tools in my productivity workflow can be accessed just fine on macOS as they are available on Windows. There are a few exclusive perks, like Windows Recall, but they are not a must-have for the average computer user out there. And let's not forget that Apple already has the foundations ready, and we are going to see the results next year. When Apple introduced the M4 MacBook Air, the company focused on its AI chops, but what flew under the radar was Apple's App Intents Framework, which integrates effortlessly with Apple Intelligence. In simple terms, any app — whether AI or not — can embrace the benefits of on-device AI processing, such as awareness of on-screen content, in a native macOS environment. Now, it's valid to criticize Apple for its AI missteps. I am at a stage where I use Gemini everywhere on my iPhone, from the lock screen widgets to the dedicated app, instead of Siri. But that's not the situation with Macs. For my workflow, and a whole bunch of Mac users' out there, they're not gasping for a next-gen Apple AI. What they need is a reliable machine to run the AI of their choice. Even the cheapest Mac can meet those requirements.