Technology
Why Next-Gen Devices Demand a New Battery Strategy
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1 hour agoon
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FOSHAN, China, May 11, 2026 /PRNewswire/ — At CES 2026, many of the new devices no longer fit neatly into existing categories. From GPS-enabled electric golf push carts, to “smart mirrors” that can estimate lifespan, storytelling robots that speak fluently with children, and robotic vacuum cleaners equipped with flying arms—product concepts have clearly moved into a more fluid and experimental phase.
What EqualOcean observed is a broad emergence of lighter, more personalized, and more continuously connected devices across categories. From GPS-enabled consumer hardware (including GPS trackers) and medical devices to children’s audio products, industrial handheld tools, and even security systems, a shared pattern is becoming increasingly visible: product forms are still taking shape, use cases continue to expand, and iteration remains rapid.
As a result, while companies appear to compete on features, interaction design, connectivity, and intelligence, the first bottleneck to surface in mass production, delivery, and long-term use is rarely the most visible module but the battery.
1. Battery Risk Is Being Reshaped by Real-World Scenarios
In the past, when designing consumer electronics, batteries were often treated as a “good enough” component. As long as they worked, that was enough. But at CES, several manufacturers told us that their definition of a “problem-free” battery has shifted. Passing certification alone is no longer enough; what matters is whether the battery can remain stable in real-world usage, particularly in terms of battery life and safety performance.
Taking industrial devices as an example, handheld terminals used for precious metal detection, gas sensing, and mineral tracking often need to operate in far more demanding environments. In the IoT and smart home space, the challenge is less about immediate performance and more about long-term stability, as many devices are installed once and expected to remain online around the clock with minimal maintenance.
For GPS trackers, wearables, and certain pet devices, the requirements converge around miniaturization, lightweight design, and extended uptime. Devices closer to everyday use, such as early education products and consumer devices, are far more sensitive to temperature rise, swelling risks, and overall safety. Meanwhile, medical devices, aesthetic treatment equipment, and robotics impose even stricter demands on battery consistency, stability, and safety margins. Even minor temperature increases, physical deformation, or performance fluctuations can directly affect user experience and, in some cases, introduce elevated safety risks.
As a result, battery safety is no longer a matter of a single component. It has become a key variable that can lead to safety hazards, degraded user experience, financial losses, and even reputational damage for brands.
This is not an overstatement. In a recall case disclosed by the U.S. Food and Drug Administration (FDA), a children’s wearable smart thermometer was found to carry risks of overheating and leakage of corrosive chemicals, which could potentially lead to skin irritation, burns, other serious injuries, and even death.
Separately, the U.S. Consumer Product Safety Commission (CPSC) reported that a smartwatch company received at least 115 overheating complaints and 78 burn reports in the United States, including second- and third-degree burns, due to battery overheating issues. The company was later fined USD12.25 million for failing to promptly disclose the severity of the risk.
What is becoming clear is that batteries are no longer just a cost-driven, margin-squeezed component, but a core factor underpinning product safety and brand trust.
2. The Traditional Battery Procurement Logic Is Breaking Down
Not long ago, manufacturers had relatively fixed requirements for batteries: capacity, dimensions, cost, safety standards, and cycle life. Once a product design was finalized, these parameters were largely set. But as end-product forms evolve rapidly, this traditional framework is starting to break down.
Today, manufacturers’ concerns go far beyond specifications. They care most about what could happen in worst-case scenarios.
What happens under overcharge conditions? What if the battery is stored at full charge for an extended period? In extreme scenarios such as drops, compression, puncture, high temperature, or aging, can the battery still maintain safety and stability?
These are questions that cannot be answered by a specification sheet alone, nor can they be resolved through a single compliance test.
This is also why an increasing number of device manufacturers are beginning to redefine what they expect from battery suppliers. In particular over the past few years, many new teams entering the hardware space come from software, platform, or cross-industry innovation backgrounds. They tend to place a much higher emphasis on user experience and the pace of product iteration.
Many products undergo constant iterations and revisions, with structural designs and user usage patterns evolving all the time. Some are pushing for longer battery life, some are constrained by weight and size, and others need to operate in more demanding environments.
These requirements are often difficult to define upfront. For battery manufacturers, both the customers and the products are becoming more fragmented, more varied, and more complex to support. Standardized solutions often no longer fit, while customized approaches call for early supplier engagement. In some cases, customers are even asking battery suppliers to participate directly in product design.
3. What Kind of Battery Partner Does the Next Generation of Products Need?
After these changes, one type of company is becoming increasingly important: not a supplier that simply offers standard battery models, but a partner that can develop battery solutions around specific use cases.
Guangdong Zhaoneng Technology Co., Ltd. (ZERNE) falls into the latter category.
As a family-owned business with nearly three decades of history, many of ZERNE’s practices might appear somewhat “old-fashioned” by industry standards: proactively disclosing potential risks rather than waiting for clients to notice; refusing to sacrifice reliability for short-term orders; and before any formal agreements are signed, the team often makes multiple trips between its Chinese factories and overseas clients, all at its own expense. The goal is to fully engage in every stage of the client’s product development and production process. These approaches reflect the philosophy ingrained by the company’s founder, who spent decades in the battery industry — building deep technical expertise and manufacturing know-how while embedding a commitment to long-term thinking into the company’s culture.
Currently, ZERNE has completed its generational transition and is run by its second-generation leadership, this is more than a change in management. The family’s philosophy of long-term value creation has become part of the company’s DNA, carried forward in full through the generational shift. The new generation holds to that core, while bringing a more global perspective, a more structured approach to project management, and a sharper eye for emerging applications.
From the founder’s hands-on approach to the more structured management of the new generation, the methods have changed, but the ‘old-fashioned’ logic behind getting things done has stayed the same.
This commitment to long-term principles is what has earned ZERNE a client base of over 10,000 companies worldwide. The company serves diverse sectors, including industrial handheld devices, medical equipment, early childhood education products, smart home products, beauty devices, consumer devices, IoT devices, and robotics. ZERNE has also established lasting partnerships with leading hearing aid manufacturers and some of the top 10 GPS tracker brands.
Beyond its multi-generational heritage, what sets ZERNE apart is that it starts from the end-use scenario and defines the product solution together with the client. The team typically begins with on-site visits to the client’s overseas facility, where they discuss how the product is used, its design requirements and pain points, and review the full production line. After obtaining a complete device sample, ZERNE disassembles, tests, and analyzes the unit, then proposes a battery solution based on the product’s usage patterns, structural constraints, and operating environment. A single project often goes through two to three rounds of iteration before it is ready for production.
While this approach may seem more time-consuming and costly, it essentially brings risk management forward. What ZERNE provides is not merely the battery itself, but a set of safety-first, customized development capabilities.
Pet GPS device is a good example. Many device makers initially focus on battery life, but once the device enters real-world use, the challenges shift quickly. Pets generate frequent impacts and drops during movement, and may even chew on the device itself. The stress these behaviors place on battery structures far exceeds what laboratory testing can simulate.
Rather than simply swapping out the cells, ZERNE redesigned the battery solution around how the device is actually used. The company adopted a 4.45V high-voltage battery with a 3,000mAh capacity and introduced a double-sided ceramic separator in the winding process to better withstand physical impact and reduce the risk of fire. On top of this, ZERNE worked with the client to run tests that more closely reflected actual use, including 10 drop tests from 1.5 meters at varying angles and 504 tumble tests from 0.5 meters. Results showed no external damage, no internal tab fractures, normal voltage and internal resistance readings, stable charge-discharge performance, and no jelly roll displacement. The entire solution went through multiple rounds of iteration and validation before it was ready for mass production.
If front-end solution design determines whether a product can be built, then delivery capability determines whether it can be built consistently. On the production side, ZERNE takes an engineering-driven approach to process control: every battery that leaves the factory carries a unique QR code linked to key data points, enabling full traceability and data sharing.
In the quality inspection process, ZERNE holds itself to international standards. It uses X-ray equipment to examine internal battery structures and identify potential defects, and uses positive-pressure equipment to screen every single unit for seal integrity and electrolyte leakage.
Rather than focusing only on the finished product, ZERNE prioritizes catching risks before they leave the factory — which is a key reason behind its high standards in safety monitoring and quality control.
4. Semi-Solid State Batteries: A Safer Choice for High-Risk Applications
Children’s smart devices often face more safety challenges than ordinary consumer electronics devices.
During the implementation of a project, a European children’s device manufacturer found that its existing conventional polymer lithium battery solution, while having passed basic testing and certification, still posed abnormal heating risks at high charge levels. The company turned to ZERNE for an improved solution.
Because the product was designed for children, the client’s safety requirements were significantly higher than those for general electronics. In response, ZERNE raised the evaluation standards from “passing certification” to “remaining safe and reliable under extreme conditions such as high charge states, aging, and physical damage,” and on that basis incorporated semi-solid state batteries into its custom solution.
It is precisely in scenarios with extremely high safety requirements that the value of semi-solid state batteries becomes apparent. Compared with conventional liquid lithium batteries, semi-solid state batteries offer greater material stability. Under extreme conditions such as nail penetration, overcharging, short-circuiting, and crushing, semi-solid state batteries remain non-ignitable and non-combustible, delivering superior safety performance — making them well suited for products that demand high thermal stability and generous safety margins.
Based on its assessment of high-safety applications, ZERNE is also continuing to advance its semi-solid state battery technology. Beyond children’s devices, semi-solid state batteries are equally applicable to pet devices, industrial handhelds, medical equipment, IoT terminals, security systems, and other fields where safety standards are stringent. For these products, the semi-solid state battery represents more than a simple technology upgrade — it is a system-level improvement designed for scenarios where safety is the top priority.
5. Capability Beyond Product Delivery
ZERNE’s capabilities go beyond the product itself. The company holds a wide range of international certifications — including UL, RoHS, REACH, KC, PSE, IEC 62133, CB, IEEE, ISO 9001, ISO 14001, ISO 45001, and BSCI — helping clients navigate global market access requirements more efficiently and cutting down on the time and cost of repeated certification trials.
In terms of service, ZERNE maintains a highly proactive approach. Its management team conducts regular client visits worldwide, arriving on-site within two to three days for urgent production issues. This reflects not just after-sales responsiveness, but a custom-focused company’s commitment to project coordination and long-term relationships.
At the same time, ZERNE does not see itself as merely a battery supplier. For new product projects with growth potential, the company is willing to co-develop with clients and, when necessary, participate through funding support or investment partnerships. For ZERNE, this kind of collaboration is not just about a single battery, it is about building closer working relationships around product definition, solution refinement, and long-term implementation.
Compared with many suppliers whose focus ends at delivery, ZERNE prioritizes long-term trust over short-term orders. It turned down orders worth millions of RMB when clients couldn’t accept the cost increases required for safety solutions, and rejected substitution requests for lower-grade materials in multi-million-dollar deals. For ZERNE, maintaining a mid-to-high-end positioning and upholding safety and quality standards outweighs any pursuit of short-term gains.
6. Battery Strategy Is Becoming Product Strategy
For companies building the next generation of hardware, choosing a battery solution is becoming a more complex decision. It is no longer just about capacity and cost. It now involves product safety, user trust, global compliance, and supply chain resilience. Consequently, the true value of battery partners who understand real-world applications, balance safety and performance effectively, and commit to long-term collaboration is increasingly being recognized.
CONTACT:
Xing Yiran
xingyiran@iyiou.com
18835699100
View original content:https://www.prnewswire.com/news-releases/why-next-gen-devices-demand-a-new-battery-strategy-302768023.html
SOURCE EqualOcean; Guangdong Zhaoneng Technology Co., Ltd. (ZERNE)
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Technology
SAP AppHaus and NTT DATA Expand Global SAP AppHaus Alliances to Accelerate Human-Centered SAP Business AI at Scale
Published
12 minutes agoon
May 11, 2026By
WALLDORF, Germany and LONDON, May 11, 2026 /PRNewswire/ — SAP AppHaus and NTT DATA Business Solutions today announced the expansion of their global SAP AppHaus Alliances partnership. The next phase of the collaboration focuses on helping organizations move beyond isolated AI experiments and accelerate the adoption of scalable, business–driven AI embedded into Cloud ERP environments.
Building on its established role within the SAP AppHaus Alliances, NTT DATA Business Solutions is taking a leading role in operationalizing human–centered solutions built with SAP Business AI at global scale. Central to this approach is the combination of the SAP AppHaus methodology with NTT DATA Business Solution’s GenAI Accelerated toolkit, enabling customers to identify high–value AI use cases, rapidly prototype solutions on SAP Business Technology Platform (SAP BTP), and industrialize them across SAP Cloud ERP landscapes.
Through its Global Enablement Program, using the SAP AppHaus methodology, NTT DATA Business Solutions is equipping multidisciplinary teams worldwide with a repeatable framework for AI exploration, design and delivery. The initiative brings together SAP AppHaus human–centered design, NTT DATA Business Solution’s proprietary GenAI Accelerated assets, and SAP technologies such as Joule and SAP Business Data Cloud.
This integrated approach helps customers achieve faster time–to–value, lower development risk and higher adoption by directly connecting AI innovation to core business processes. Rather than treating AI as a standalone initiative, NTT DATA Business Solutions embeds it into Cloud ERP transformation programs – an approach reflected in its global customer engagement theme Cloud ERP Supercharged.
“With Cloud ERP Supercharged, we are deliberately redefining how SAP Business AI is used in SAP environments. It is not about isolated use cases, but about embedding AI directly into Cloud ERP processes, from master data and partner collaboration to document handling and logistics,” said Nicolaj Vang Jessen, Executive Managing Director Consulting GIIC and Nordics & Eastern Europe, NTT DATA Business Solutions. “By combining human–centered design, ready–to–run AI extensions and Joule capabilities, we enable our customers to automate, run and continuously learn, turning Cloud ERP into a platform for sustained business performance.”
The expanded alliance builds on successful joint customer engagements, including organizations such as Amey and Aspen Pumps, where NTT DATA Business Solutions applied the SAP AppHaus approach and the GenAI Accelerated toolkit to deliver tangible outcomes – from smarter decision–making and process automation to improved operational resilience.
“Our expanded partnership with SAP AppHaus reflects a deliberate shift from isolated AI use cases to enterprise–wide SAP Business AI,” said Mark Wheeler, Global Head of Product Engineering & AI Customer Success, NTT DATA Business Solutions. “By combining human–centered design with our GenAI Accelerated toolkit, we enable customers to translate AI ambition into solutions that improve speed, quality and competitiveness, directly within their SAP Cloud ERP environments.”
With operations in more than 30 countries and over 15,000 SAP specialists worldwide, NTT DATA Business Solutions continues to differentiate itself in the SAP ecosystem by combining industry expertise, proprietary AI assets and global delivery at scale. The SAP AppHaus methodology further reinforces the company’s ambition to actively shape how SAP Business AI is designed, deployed and scaled within SAP–centric enterprises.
For more information, please visit nttdata-solutions.com.
About NTT DATA Business Solutions
NTT DATA Business Solutions is focused on SAP and works within a strong ecosystem of partners including Microsoft and ServiceNow. We enable midmarket and lower large enterprise companies worldwide to become Intelligent Enterprises – from consulting and implementation to managed services. We are part of NTT DATA a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. Together, we are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Press Contact NTT DATA Business Solutions
Jasmin Straeter
Head of Global Communications
NTT DATA Business Solutions AG
Königsbreede 1, 33605 Bielefeld,
Germany
T: +49 521 9 14 48 108
Email: Jasmin.Straeter@nttdata.com
View original content:https://www.prnewswire.co.uk/news-releases/sap-apphaus-and-ntt-data-expand-global-sap-apphaus-alliances-to-accelerate-human-centered-sap-business-ai-at-scale-302767215.html
Technology
AnySearch Launches as Search Infrastructure Built for AI Agents
Published
12 minutes agoon
May 11, 2026By
HONG KONG, May 11, 2026 /PRNewswire/ — As AI agents rapidly evolve from experimental tools into productivity systems, AnySearch, a next-generation AI search product purpose-built for AI agents and enterprise AI systems, has officially launched, offering AI agents unified access to high-quality information.
Unlike traditional search engines or AI search products built primarily around public web content, AnySearch is founded on a fundamentally different premise: much of the information most valuable to AI agents is not publicly searchable.
A significant portion of high-value data does not reside on the open web, but within authenticated professional systems such as industry databases, real-time financial terminals, code repositories, academic platforms, and structured API services. As AI agents begin handling increasingly sophisticated tasks — including research and analysis, software development, and security audits — efficiently connecting to and accessing high-quality, fragmented data across multiple sources has become a key challenge for the next stage of AI application development.
The AnySearch team said, “Traditional search engines can only access a small fraction of the internet. But AI agents need far more than webpages — they require secure, reliable, structured, and real-time information that can support reliable reasoning and execution.”
To address this challenge, AnySearch aggregates extensive vertical data sources spanning finance, legal, academic research, cybersecurity, energy, and corporate intelligence, among other specialized domains. Through a single unified API, AI agents can directly retrieve accurate, structured results without requiring developers to manage dozens of disparate data interfaces. AnySearch natively supports Skill, MCP, and API connectivity, enabling seamless integration into AI agents, enterprise systems, and automated workflows.
The product is now available across multiple developer ecosystems, including GitHub, skills.sh, ClawHub, SkillHub, and Glama, with users currently receiving 1,000 free API calls per day.
As momentum in the AI search space continues to build, AnySearch is pursuing a distinct path from traditional search engines such as Google, focusing on high-precision, structured search capabilities purpose-built for AI agents.
According to internal benchmark evaluations across Frames, FreshQA, and WebWalkerQA, AnySearch delivered stronger results than public-web-based AI search products in both answer accuracy and execution efficiency. In complex real-world scenarios — including code retrieval, security analysis, real-time business decision-making, and industry research — agents integrated with AnySearch also demonstrated stronger capabilities in information seeking and task completion. Rather than sifting through vast amounts of unstructured web content, AnySearch intelligently routes queries to the most relevant specialized data sources and returns accurate, concise, and execution-ready results.
A growing number of industry observers believe AI is fundamentally reshaping the underlying logic of search. For decades, search engines have focused on helping people access webpages and information. As AI agents become more active across the digital ecosystem, the next generation of search infrastructure will focus on enabling AI systems to better understand the world and autonomously complete tasks.
From this perspective, AnySearch is not positioning itself as just another AI search product, but as a new form of infrastructure for the AI era.
Learn more about AnySearch:
Website: https://www.anysearch.com/
Github: https://github.com/anysearch-ai
View original content to download multimedia:https://www.prnewswire.com/news-releases/anysearch-launches-as-search-infrastructure-built-for-ai-agents-302768044.html
SOURCE AnySearch
Technology
eclicktech Explores What Happens When AI Agents Start Owning KPIs
Published
12 minutes agoon
May 11, 2026By
XI’AN, China, May 11, 2026 /PRNewswire/ — Over the past year, the conversation around artificial intelligence in Silicon Valley has undergone a subtle yet significant shift.
From OpenAI introducing Agent-based solutions, to Anthropic launching Computer Use and Claude Cowork, and the emergence of autonomous AI systems like Devin and Manus, the industry focus is no longer centered solely on model performance or parameter competition. Instead, a new theme is becoming increasingly dominant: AI is moving beyond the “tool layer” and entering the “organizational layer.”
When financial giants like Goldman Sachs begin referring to AI coding assistants as “employee number one,” and SaaS companies shift discussions from “adding AI features” to “whether AI Agents could eventually take over the software control plane,” one thing becomes increasingly clear: AI is no longer just a copilot for human workers — it is beginning to function as an actual organizational participant.
This transformation is no longer limited to discussions in Silicon Valley. At eclicktech, a growing number of AI Agents have quietly “joined the workforce.” They are taking briefs, conducting analysis, drafting proposals, managing workflows, optimizing campaigns, and even operating with their own KPIs.
Drawing from eclicktech’s recently completed “AI Implementation Hackathon” and its large-scale AI Agent practices, a new question is emerging:
What happens when AI Agents start owning KPIs? And how will that reshape the growth systems of global enterprises?
Why Global Marketing Became One of the First Industries to “Organize Around AI”
“The rise of organizational AI wasn’t accidental — it was driven by the complexity of the business itself,” said Aodi Zhang, Chief Product Officer at eclicktech.
Global marketing today is no longer a competition of isolated creative ideas. It has evolved into a highly complex, real-time operating system involving multiple markets, platforms, languages, and creative assets running simultaneously. Millions of impressions, clicks, and conversions are generated daily, all requiring immediate analysis and response.
In this environment — one defined by high-frequency decisions, data intensity, and rapid iteration — traditional linear growth models built on scaling headcount are quickly reaching their limits. They can no longer match the increasing complexity or real-time responsiveness required by modern global businesses.
At the same time, AI capabilities have crossed a critical threshold.
Previously, AI functioned primarily as an assistive tool for isolated tasks. Today, AI Agents are capable of long-chain execution, tool orchestration, autonomous collaboration, contextual understanding, and independent decision-making.
For the first time, AI is beginning to meet the standard of an “organizational teammate.” It no longer requires constant human supervision at every step. Instead, it can understand objectives, autonomously plan execution paths, and deliver outcomes.
According to the 2025 China Enterprise AI Agent Application Research Report published by First Voice Research Institute, China’s enterprise AI Agent market reached RMB 23.2 billion in 2025, with a projected compound annual growth rate of 120% from 2023 to 2027. Behind this rapid growth is a strong enterprise demand for efficiency gains, cost optimization, and smarter decision-making.
Global marketing — with its complexity and need for real-time responsiveness — has naturally become one of the first large-scale testing grounds for organizational AI.
What Do These “AI Coworkers” Actually Look Like?
eclicktech’s recent “AI Implementation Hackathon” served as something closer to an organizational-level A/B test — placing AI directly into live business workflows to observe how organizations evolve around it.
“We no longer think of AI as a tool sitting in a browser bookmark bar,” Zhang explained. “We think of it as a teammate that can be assigned tasks, held accountable for outcomes, and integrated into operational workflows.”
Several standout projects emerged from the hackathon. But viewing them simply as “efficiency tools” would significantly underestimate their value. Once these systems are viewed through an organizational lens, it becomes clear that eclicktech has already introduced a new category of “AI coworkers” into its business operations.
These AI systems collaborate directly with human employees across the full global marketing workflow.
Hubert: The Always-On Collaboration Hub
In traditional workflows, communication between sales teams, account managers, campaign optimizers, and designers often resembled a relay race full of information leaks and disconnects.
Now, an AI system called Hubert has taken over much of that coordination.
Functioning like an always-online executive assistant, Hubert listens to fragmented requests across teams, automatically structures client information into centralized systems, and proactively alerts relevant stakeholders whenever updates occur.
Instead of relying on fragile human memory, Hubert transforms organizational knowledge into a shared operational intelligence system.
Dexter: The Data Specialist Built for Operational Problem-Solving
Anyone working in campaign optimization knows that analysts often spend the majority of their time reconciling data, identifying discrepancies, and tracing traffic sources.
Dexter now automates much of that process.
The AI system continuously monitors monetization and campaign performance dashboards. When anomalies occur, Dexter can identify root causes within minutes and generate attribution analysis and optimization recommendations before the workday ends.
By handling repetitive analytical work, Dexter enables senior analysts to focus on higher-level strategic decision-making while preserving organizational expertise as scalable operational intelligence.
Hunter & Link: AI Systems Reshaping Customer Acquisition
Within eclicktech’s business development and operations teams, two additional AI systems — Hunter and Link — are redefining sales workflows.
Hunter functions like a constantly active prospecting engine, scanning emails, LinkedIn, and websites to identify high-potential leads. It can autonomously generate personalized outreach emails and even optimize messaging through automated A/B testing.
Meanwhile, Link operates as an intelligent workflow assistant inside messaging platforms, automating inquiry collection, order notifications, and operational coordination.
Together, these systems allow human business development teams to focus less on repetitive prospecting and more on high-value negotiations and strategic relationship building.
AI Agents Are Becoming Infrastructure
These examples represent only part of eclicktech’s broader AI ecosystem.
Today, dozens of AI coworkers are embedded across eclicktech’s operations, supporting creative generation, campaign optimization, budget allocation, data attribution, intelligent customer service, and technical operations. Together, they form a goal-oriented organizational AI ecosystem.
Zhang emphasized that this does not mean organizations can completely remove humans from the loop.
“The more powerful AI becomes, the more important clear operational boundaries become,” he said. “AI handles execution and operational tasks, while humans remain responsible for oversight, judgment, and final decision-making. That human-AI collaboration model is critical for maintaining operational safety and business reliability.”
The scale of adoption is already significant.
According to preliminary estimates, eclicktech’s internal AI systems currently consume more than 4 billion tokens per day. Behind that figure is a growing number of AI Agents operating across real production environments, transforming AI computing power into measurable business growth.
Supporting this ecosystem is EC-Agent, eclicktech’s proprietary enterprise AI Agent development platform. The company says customized AI Agents can now be built in as little as five minutes, reducing development costs by up to 80% and enabling large-scale AI deployment across the organization.
From Silicon Valley’s evolving AI conversations to eclicktech’s real-world implementation, one trend is becoming increasingly evident:
When AI Agents begin owning KPIs, they are not simply improving operational efficiency — they are fundamentally reshaping how global enterprises function.
AI is no longer just an assistive tool. It is becoming an organizational participant working alongside humans. And as AI systems continue evolving, enterprises that successfully redesign themselves around human-AI collaboration may gain a significant competitive advantage in the next era of global business.
View original content to download multimedia:https://www.prnewswire.com/news-releases/eclicktech-explores-what-happens-when-ai-agents-start-owning-kpis-302768047.html
SOURCE eclicktech
SAP AppHaus and NTT DATA Expand Global SAP AppHaus Alliances to Accelerate Human-Centered SAP Business AI at Scale
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