AI-Powered ERP Solution : CIOReview
CIOREVIEW >> October 15, 2025

For decades, enterprise resource planning (ERP) systems have served as the backbone of large-scale business operations, integrating critical functions like finance, supply chain, human resources, and manufacturing into a unified platform. Despite their importance, ERP systems have been dominated by legacy platforms and static architectures that are slow to adapt, costly to update, and rigid in design. Everest Systems is a dynamic force that is redefining the future of ERP. Founded by industry veterans Sandeep Chopra, Joachim Fitzer, Franz Faerber and a team of seasoned engineers, Everest is built on the conviction that ERP should no longer be constrained by legacy systems, long implementation timelines, and a lack of business user autonomy. Instead, it should be intelligent, intuitive and driven by AI, not only its features but its DNA. “This is a new era of ERP- driven by AI, built with AI, and at its core, an intelligent system in its own right,” says Franz Faerber, Co-Founder and Co-CEO. “It defines a new class, one that fundamentally changes how these systems are viewed in the market.” This new class isn’t theoretical. It is being deployed today, with Everest ERP helping fast-growing SaaS companies—and soon, service industries—move from complexity to clarity in record time. It brings together automation, intelligence and extensibility in a single platform to support everything from accounting and HR to cost management and compliance, all while giving business users control typically reserved for developers and consultants. Three Pillars of AI-Driven ERP At the heart of Everest's strategy are three AI pillars, each designed to tackle major challenges facing ERP users. Our sandbox allows you to safely test AI outcomes, evaluate consequences, and approve only what makes sense to take live The first is process automation, where the system takes on repetitive and rules-based tasks. They include automated invoice recognition through OCR, intelligent document parsing in HR, and predictive account assignment in finance. This reduces manual labor and allows employees to focus on strategic work. The second is insight generation. Everest empowers users to analyze data in real time without external tools like Excel or third-party BI software. Users can define KPIs, explore cost centers, or evaluate vendor performance on the fly. The result goes beyond better decision-making to greater independence from IT bottlenecks. AI-enabled application creation is the third. Everest lets users build custom applications on the platform using natural language, a process Faerber calls, “vibe coding”. This means that if a business sees a functionality gap—whether in forecasting, customer tracking, or regulatory compliance— it can fill that gap internally without additional tools or consultants. This feature elevates Everest from a system of record to a platform for innovation. From Ground-Up Reinvention to Scalable Innovation Everest's first four years were dedicated to the meticulous construction of its platform. Drawing on decades of experience at companies like SAP, Chopra, Faerber and their team built the platform for infinite scalability, lifecycle flexibility, and deep extensibility. Unlike traditional systems that evolve through layers of bolt-on features, Everest was designed to be AI-native. This approach allows it to support customers across a wide spectrum, from nimble startups to global enterprises. The architecture scales seamlessly across countries, currencies and legal frameworks. Its multi-entity, multi-country capabilities position Everest as a truly international ERP solution, built for companies that span geographies and regulatory environments. Scale is only one part of the equation. Truly distinguishing Everest is how it blends sophisticated backend capabilities with a radically simplified front-end experience. “We enable business users to tailor the system themselves,” says Franz Faerber, Co-Founder and Co-CEO. “They don’t need to involve IT or consultants. They can ask the system whether a contract is compliant with legal requirements, or request a live view of vendor bills or bank transactions, and they’ll get accurate responses in real time.” Core Application Suite Built for SaaS Realities Everest delivers a comprehensive ERP suite that includes finance and accounting, HR, asset management, and cost control. The platform is optimized for critical business processes such as procure-to-pay, record-to-report, and quote-to-cash. "This is a new era of ERP- driven by AI, built with AI, and at its core, an intelligent system in its own right" In finance, Everest supports everything from general ledger management and chart of accounts to real-time reporting of financial statements like income statements and balance sheets. HR capabilities include recruiting, onboarding and offboarding, vacation management, and organizational structure handling. The system also tackles cost management in innovative ways, encompassing employee costs, as well as cloud infrastructure, subscription fees, and AI compute costs—critical metrics for SaaS businesses seeking to balance growth with efficiency. The SaaS focus extends into out-of-the-box integrations. It provides deep, prebuilt connections to systems like Salesforce and delivers comprehensive KPI dashboards and revenue recognition frameworks tailored for subscription businesses. More than technical linkages, these integrations are intelligently pre-configured business workflows, enabling rapid onboarding and seamless daily operations. Everest also recognizes the importance of flexibility and customization, offering an embedded integration framework that doesn’t require external middleware. With the aid of AI, it can generate new integrations in a matter of days, further accelerating digital transformation efforts for clients.

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Everest Systems: A New Era of AI-Native ERP for Innovative Companies

Store Experience Management Software of The Year 2025

Heads of retail operations move like rowers on a restless river. Broken lights, failing HVAC systems, missing employee uniforms, and malfunctioning payment counters are constant challenges that strain a store’s operations. On other days, the challenges are operational, with late vendors, unprepared staff, and customer questions arriving before answers are ready. No matter how the current shifts, it is imperative to maintain a special feel for the customer in a physical store, enhance the brand’s reputation, and deliver a consistent, remarkable customer experience. Many operations leaders, unfortunately, are left to manage all of this with scattered tools, endless emails, and spreadsheets held together by hope. What they lack is not determination but a system that provides a clear picture. Instead, they face noise, disconnected updates, and problems that surface too late. Time slips away, stress multiplies, and customers notice the cracks before leaders do. Worksmith was built to change this. Launched a decade ago, the platform was designed specifically for retail operations. It brings facilities maintenance, creative services, learning management, task management, and soon, store audits into one ecosystem. By unifying these functions, it reduces complexity and gives leaders real-time visibility and control. “Unlike common SaaS platforms, Worksmith did not adapt office software for retail. We built a solution that starts with the head of retail operations and the realities of running stores,” says Bryan Burkhart, founder and CEO. Facilities Maintenance and Creative Services The facilities maintenance module is straightforward and powerful. Stores can initiate and track work orders through an app or web portal. Emergency repairs such as electrical or plumbing work and preventative services like pest control, HVAC, and fire safety inspections are all covered by Worksmith’s vendor network of highly qualified local service providers. Dedicated account managers oversee the process to ensure quick resolution. Consolidated invoicing and analytics provide further clarity and price transparency. The platform also supports creative services that enhance the store environment. Pickup and delivery for the cleaning of employee uniforms, tailoring of customer clothing, weekly flower delivery, beverage services, and seasonal decoration setup are available through the system. By covering these customer-facing details, retailers strengthen their brand presence and create extraordinary store experiences. With the acquisition of Progress Retail in July, Worksmith added a learning management system. Executives can create and share training modules for new products, compliance procedures, and sales techniques. Engagement tracking and quizzes ensure retention, while performance links directly to sales results. Worksmith also helps manage daily store tasks. Headquarters can assign routine checks such as monitoring temperatures, cleaning, or verifying displays. If issues arise, the system alerts the maintenance team immediately. The audit function allows regional managers to flag problems during visits and feed them directly to those responsible. Human-Backed Technology and Growth While technology drives Worksmith, it is reinforced by a people-first approach. Every client is supported by an account manager who ensures satisfaction. “We know creating an extraordinary store experience is sometimes messy. That is why we combine software with human oversight. Without it, we could not consistently deliver the outcomes our customers expect,” says Burkhart. The model has built strong client loyalty. Early adopters like Nespresso and Tory Burch remain with the company after ten years. More recently, Worksmith scaled to support global retailers such as Pandora, which operates more than 600 stores. By sharing in both successes and challenges, the company retains longterm clients while adding new ones every month.

Top AI Powered Embedded Integration Infrastructure Platform 2025

Modern AI applications succeed not by the size of their models, but by the quality of their context and their ability to act. To be useful, AI agents must access fresh, trusted data from multiple systems, understand context across both internal and external tools, and execute secure actions inside real workflows. Hard-coded integrations and legacy iPaaS solutions cannot meet these requirements. They are rigid, slow, and not built for AI-native use cases. Fastn is redefining this space with its Unified Context Layer (UCL). UCL is the embedded, white-labeled MCP gateway for AI and SaaS applications. It ensures that agents have the right context and the ability to act safely and at scale. “We are bringing a new AI-native and secure approach to giving agents the context and actions they need, through the Unified Context Layer” says Khalid Muaydh, founder. Unlike traditional integration layers, UCL is designed specifically for AI-first products and builders who are looking to build the next generation of advanced agents. It enables applications to: ● Connect context from internal systems such as databases, knowledge bases, and CRMs, as well as external tools like SaaS apps, APIs, files, and messaging platforms ● Continuously embed and vectorize data so agents always have fresh and relevant knowledge ● Execute runtime actions through a governed gateway, allowing agents to complete workflows securely across third-party tools ● Deliver security, governance, compliance, and observability built in from day one ● Scale to multi-tenant enterprise environments without sacrificing speed or reliability Supporting UCL is Fastn’s API unification and orchestration engine, which abstracts away differences across thousands of tools and systems. For AI engineers and product teams, this means building with one consistent interface instead of stitching together brittle integrations. UCL is built to meet enterprise standards, with compliance, auditability, and fine-grained governance at its core. This makes it safe to deploy in sensitive environments where trust and explainability matter most. One example is HP’s Workforce Experience Platform (WXP). By embedding Fastn, HP enabled its platform to integrate securely with the diverse tools its enterprise customers use. This gave WXP AI-powered device management that adapts to each customer’s environment. “Fastn has enabled us to connect with our customers’ applications and infrastructure, drastically reducing our time-to-market,” says Gaurav Roy, vice president of engineering at HP. “We’ve eliminated development bottlenecks and significantly expanded the customer environments we address, connected disparate systems more efficiently, and significantly scaled the applications we can handle.” The next generation of AI products will be defined by how well they orchestrate context and actions across internal and external ecosystems. Current MCPs and toolkits are good for proofs of concept and demos, but they are not ready for production at enterprise scale.

Top ICT And Network Cabling Services 2025

It is a busy Tuesday afternoon at a downtown office when a network failure freezes a high-stakes meeting mid-presentation. As the IT team rushes to respond, the situation escalates as—security cameras across the building blink offline. At first, the disruptions appear just a bad day for technology. But as the failures ripple across critical systems, a bigger truth emerges: the office is running on an outdated, patchwork ICT infrastructure never designed to scale. This is the quiet reality for many organizations from small businesses and schools to municipal agencies and beyond. Limited budgets and IT resources push organizations into a reactive mode, where short-term fixes like patching aging networks, juggling incompatible platforms and addressing problems after they disrupt operations turn into long-term challenges. Without a proactive ICT strategy, the infrastructure gap widens and occasional setbacks turn to ongoing obstacles that impact productivity, trust, and business momentum. These challenges vary sector wise: logistics may need license plate capture, schools may prioritize facial recognition, and government agencies often manage legacy systems. “We have grown almost entirely through word of mouth, with no advertising spend—a reflection of our consistent delivery and trusted relationships” Bridging that gap between what exists and what’s truly needed is where Sarvicus excels. Founded in 2010 by Marc Packard and Lee Hartley, longtime high school friends who built their careers in enterprise IT, it serves as both an ICT integrator and advisor. For more than a decade, Sarvicus has been designing, building, and protecting the full ICT spectrum while creating future-ready custom environments with long-term reliability in mind. “Anyone can claim to be solution-oriented. We prove it by showing up, listening carefully, and addressing the real problem—not just pushing a product line. That discipline is what builds trust, and why clients stay with us,” says Marc Packard, CEO. Tailored Solutions under One Roof Sarvicus works with clients across education, logistics, government, and commercial sectors, tailoring solutions to each environment and scale, from school districts to national warehouse operators. Its name echoes the company’s tagline ‘service, spelled a little differently’, a reminder of the client-first mindset behind every project, from showing up on-site to listening closely and tailoring solutions that last. By partnering with organizations that share its service-first values and long-term vision, Sarvicus stays focused, delivers meaningful results, and avoids diluting resources on mismatched projects. The company selectively pursues clients that are a strong mutual fit, a testament to its referral-driven growth. “We have grown almost entirely through word of mouth, with no advertising spend—a reflection of our consistent delivery and trusted relationships,” says Lee Hartley, COO. What sustains that word-of-mouth growth is a clear point of differentiation: the company alone delivers cabling, access control, security cameras, and more as a single, integrated package. That means less overhead for the client and a smoother path to completion. It’s a philosophy of under-promising and over-delivering that keeps clients coming back. Client Victories and What Comes Next A standout example of Sarvicus’ capabilities is a recent collaboration with one of the world’s largest logistics brands. Tasked with building and retrofitting multiple warehouse locations, the client required everything from fiber runs to cameras, access control, fencing, and turnstiles. Though the timeline was sparse with strict specifications, the company completed the work on time and under budget. The key was its ability to respond quickly, consolidate vendors, and adapt in real time. By walking the sites early, estimating accurately, and leveraging existing supplier relationships, Sarvicus kept the project moving even when plans evolved mid-way. When change orders arose, the company adapted without inflating costs, showcasing its client-first flexibility. What enables this consistency is experience; both Packard and Hartley bring more than 30 years each of enterprise and technical leadership to the table. The expertise flows into how they build teams and hire for both skill and cultural fit. Many of its employees have been with the company long term, thanks to a supportive environment that rewards performance and values contribution resulting in exceptionally low turnover and continuity for clients.

IN FOCUS

Growing Need for AI-Powered Embedded Integration Infrastructure Platforms

In today's rapidly digitizing landscape, AI is no longer an optional advantage but an essential catalyst driving efficiency, innovation, and connectivity. The AI-powered embedded integration infrastructure platform is the most transformative yet underexplored dimension of this evolution. It is a confluence of embedded systems, intelligent processing, and seamless integration that is redefining how modern systems communicate, operate, and deliver value. As industries converge on smarter, more interconnected ecosystems, the importance of robust, scalable, and AI-infused integration platforms continues to accelerate.

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AI-Powered ERP Solutions: Transforming SaaS Companies for the Future

In the rapidly evolving Software-as-a-Service (SaaS) industry, companies are increasingly adopting AI-powered Enterprise Resource Planning solutions to streamline operations. Traditional ERP systems, while effective, often struggle to meet the dynamic needs of modern SaaS businesses. The integration of AI into ERP systems addresses these challenges by automating complex processes, providing predictive analytics, and offering real-time insights. The transformation is a technological upgrade and a strategic shift that empowers SaaS companies to adapt swiftly to market changes, optimize resource allocation, and deliver superior customer experiences.

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EDITORIAL

The Game-Changing Business Technologies of 2025

As companies expand their digital footprints, the demand for reliable and scalable network infrastructure grows. ICT and network cabling services have become the foundation for ensuring seamless communication, high-speed data transfer, and the security of sensitive business information. In 2025, the industry is embracing next-gen cabling solutions, integrating fiber optics, 5G-ready infrastructure, and cloud connectivity to deliver faster, more reliable networks. Businesses are now able to support a remote workforce while ensuring secure data transmission through modern solutions tailored to unique operational needs.

AI-powered embedded integration platforms are transforming how businesses operate by combining intelligent processing with real-time data analysis. These platforms are designed to bring AI to the edge, allowing for faster decision-making, predictive insights, and enhanced automation. Today, businesses across various sectors are relying on these platforms to streamline operations, improve efficiencies, and create responsive systems that can adapt to changing market conditions. By embedding AI at the heart of their infrastructure, companies can harness the power of advanced analytics without compromising on speed or reliability.

In the retail sector, the focus for 2025 is on optimizing store operations through AI-powered Store Experience Management Software. By integrating customer data, inventory insights, and sales trends, these solutions help retailers manage store layouts, staffing, and product placement more efficiently. The goal is to streamline operations, increase profitability, and reduce waste, all while improving the overall flow of the store—without necessarily focusing on personalizing each individual customer experience.

AI-powered ERP solutions are fast becoming the go-to tools for SaaS companies looking to optimize their operations. These solutions automate routine tasks, streamline workflows, and offer real-time analytics, enabling businesses to focus on strategic growth rather than day-to-day management. By embedding AI within ERP systems, SaaS companies are able to predict market trends, allocate resources more effectively, and respond to customer needs with unprecedented speed. In 2025, these platforms are becoming smarter, driving scalability and efficiency, offering insights that transform the way companies operate.

This edition spotlights, Everest Systems, which provides AIpowered ERP solutions for small to mid-sized businesses in retail, wholesale, and distribution. Built for efficiency and growth, it offers automation, real-time insights, and flexibility to help businesses scale and adapt with confidence.

These technologies are not just shaping industries, they are redefining how businesses think, operate, and thrive in an increasingly digital world.

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