Category: Business

By: James Vance Enterprises face a brutal ERP paradox. They know legacy systems hold them back. But upfront migration costs scare them off before benefits kick in. This is the exact pain point NTT DATA is targeting with its expanded Zero Cost ACTIVATION program. It’s not a simple price cut. It’s a calculated move to push cloud adoption as AI pressure mounts. NTT DATA waives consulting fees for qualified U.S. enterprises moving to SAP Cloud ERP. The program keeps a structured deployment model. It uses SAP best-practice processes, predefined implementation scope, workflow redesign, and accelerated go-live timelines. SAP’s AI assistant Joule is embedded from the start. It automates tasks, boosts productivity, and speeds up decision-making. Jimmy Dickinson, NTT DATA’s Vice President of Industries, says the program lets companies skip large upfront consulting costs. They can redirect that money to innovation and long-term growth instead. The timing isn’t random. Cloud ERP alone no longer sets vendors apart. AI capabilities are the new competitive edge. Many firms stick to legacy systems because migration brings high costs, disruption, and uncertain returns. NTT DATA’s offer lowers the entry gate to SAP’s cloud. It also exposes customers to AI workflows from day one, making migration a stronger business case. This increases the chance users stay committed to SAP long-term. NTT DATA operates in over 70 countries, with a parent company generating $30 billion+ in annual revenue. Its move signals future ERP wins will come from reducing migration friction, not just software features. For legacy ERP users, the first question isn’t “how much will moving cost?” It’s “how much will staying cost?” Author bio: James Vance, a senior columnist at a top international tech weekly, covers enterprise software, cloud shifts, and AI strategy.

By: Alistair Kroon Diplomatic ceremonies never tell the full story. The June 5 Beijing meeting between the Chinese and Lao leaders was billed as a friendship celebration. Its actual substance is far more consequential than most reports let on. This was not just another routine state visit. Both sides spent as much time on infrastructure, digital tech and security as traditional diplomacy. They were signaling a much deeper level of strategic alignment. The official readout puts heavy focus on building mutual political trust. China reaffirmed its support for Laos’ socialist development path. It proposed four clear priorities for the next stage of bilateral ties. These include stronger party-to-party cooperation. They also cover a new “3+3” strategic dialogue mechanism for diplomacy, defense and public security. The two sides agreed to expand cooperation against cross-border crime. They pledged closer coordination on global international affairs. All of this reads like standard diplomatic commitments on paper. Behind the generic wording, clear strategic intentions emerge. The focus on combating telecom fraud and cross-border digital crime shows shared concern over new transnational threats. The economic cooperation discussed here will likely have the longest lasting impact. Both sides called the China-Laos Railway a core strategic asset. They pushed for faster work to connect it into a full China-Laos-Thailand network. Talks also covered agriculture, energy, AI, digital economy and clean development. Laos says its ties with China are now at the strongest point in history. It welcomes deeper cooperation across investment, mining, technology and more. The simple truth is this. Connectivity builds trade flows. Trade builds mutual dependence. Dependence creates lasting political influence for deeper alignment. Dozens of small agreements were signed after the meeting. Each looks modest on its own. Together, they build a full framework for a much denser bilateral relationship. Laos gains capital, connectivity and clear development opportunities. Beijing is steadily solidifying its strategic position in mainland Southeast Asia. The geopolitical pendulum in Southeast Asia is shifting steadily. Author bio: Alistair Kroon, well-known overseas geopolitical commentator focusing on Asian regional power dynamics and strategic shifts.

By: Robert Sterling Everyone’s talking about Boost Coffee + Energy’s free drinks in Jacksonville. No one’s digging past the promotion to see what’s actually happening. I’ve watched hundreds of retail concepts chase reckless growth. Most miss the quiet discipline hidden in plain sight here. This isn’t just a new local coffee shop opening. It’s a test run for a massive national franchise push. The official announcement centers on opening Boost’s first Jacksonville location. The spot is 7253 103rd Street in the Cedar Hills area. It has a soft opening from June 7 to June 9. Grand opening June 10 offers free drinks all day. Extra promotions run through June 14, including a charity event for Friends of Jacksonville Animals. Founders Mike Murray and Joe Herlihy previously built a Planet Fitness portfolio across North Florida. This looks like a typical local store launch on the surface. But fitness franchise veterans think in systems, not slogans. They nail site economics and replication long before any marketing launch. The free drinks are just the cheapest customer acquisition tool for their test. The menu lists coffee as just one small part of the full offering. It also serves energy drinks, protein lattes, smoothies, teas, shakes and more. It adds functional boosts like protein, creatine and organic caffeine. The company uses proprietary roasting that cuts environmental impact 90% vs standard methods. It runs a dual-lane drive-thru focused on speed and high transaction volume. Jacksonville is only the first stop for the brand. A second location is already under development in St. Augustine. A third is planned for Yulee. The company will build over 10 corporate stores across North Florida first. It won’t start franchise sales until 2027, and targets 450 nationwide locations by 2030. Most new brands rush to franchise as soon as they get early buzz. Boost is taking the slow route to prove its unit economics work consistently. Regional coffee chains have gotten complacent on operational efficiency. This new competitor knows scaled replication from its fitness background. It’s not here to brag about fancy artisanal coffee. It’s building a repeatable model that others will struggle to copy. Quiet unit-level testing will steal market share from incumbents faster than any flashy campaign. Author bio: Robert Sterling, a veteran entrepreneur and private investor with decades of experience growing consumer retail brands across North America.

By: James Vance, Senior Columnist, Tech Weekly International Local business owners still fixate on Google ranking drops. They see this as their biggest SEO headache. But the real threat is far worse. Your site could be cut out of search entirely, wrapped up in an AI-generated answer. Most teams still chase last decade’s SEO playbook. They don’t realize the game has shifted entirely. On May 6, 2026, Minneapolis-based search strategist Lauren Mitchell of Entity Signal Labs laid out this counterintuitive truth. Businesses focused only on keywords and backlinks are solving a problem that no longer exists. AI tools including Google AI Overviews, ChatGPT and Gemini now answer queries directly. They pull summaries from multiple sites instead of sending users to external pages. Minnesota agency Mankato Web Design has witnessed this shift firsthand. It expanded its offerings to help clients adapt. The new services include local SEO, AI search optimization, Google Business Profile management, content architecture, structured data implementation and conversion-focused website design. Sectors feeling the pressure include law firms, HVAC companies, contractors, medical clinics and home service providers across the Twin Cities. The core shift here is that search is no longer just a list of links. It’s a direct conversation interface now. AI systems judge businesses on more than just keyword rankings. They look at structured data, topical depth, entity authority and consistent citations. Thin 5-page brochure websites from 2018 no longer provide enough context for AI to understand your business. Detailed, location-specific content with proper schema markup builds a knowledge base AI can trust. Stop waiting for old traffic patterns to return. Start building a site that AI will actually cite.

By: James Vance, Senior Columnist, International Tech Weekly Local businesses are fighting the wrong SEO battle. They fixate on keyword rankings and backlinks. But their biggest threat isn’t a drop in Google’s results. It’s vanishing entirely from AI-generated answers. That’s the blunt warning from Lauren Mitchell, founder of Entity Signal Labs. She says businesses stuck in 2018’s playbook are missing the new reality of search. Generative search systems now pick which brands get cited, summarized, or ignored. A five-page brochure site worked in 2018. Today, it gives AI too little context to recognize a business’s value. On May 6, 2026, this shift hit home for Minnesota’s Mankato Web Design. The agency expanded its Minneapolis SEO and AI search optimization offerings. For years, local firms relied on Google rankings for traffic and leads. Now tools like Google AI Overviews, ChatGPT, and Gemini answer questions directly. They synthesize info from sources instead of sending users to links. Mankato says sectors like law firms, HVAC companies, and clinics already feel the pinch. Businesses clinging to old tactics risk losing all visibility as AI discovery grows. Search isn’t just a list of links anymore. It’s becoming an assistant-like interface. Consumers will ask questions and get synthesized answers. Businesses need to act as knowledge publishers, not just page optimizers. Mankato’s updated approach covers local SEO, AI optimization, Google Business Profile management, and structured data. Early adapters will lock in an outsized advantage. Those waiting for the old normal to return will find it never comes back.

(SeaPRwire) -Dr. Elara Voss, a Stanford Digital Economy Lab researcher who’s studied marketplace disruption for a decade, told me SpeakUp’s move isn’t just a gimmick—it’s a litmus test for AI’s role in organizational design. “Most startups bolt AI onto existing teams to cut costs,” she said. “SpeakUp’s flipping the script: their AI agents aren’t tools—they’re the workforce. The real risk isn’t whether AI can handle tasks, but whether it can maintain the trust and consistency that keep marketplaces alive. If this works, we’re looking at a future where companies don’t hire teams—they deploy agent networks.” SpeakUp, a platform connecting event organizers, podcasters, brands, and speakers, has swapped traditional departments for 31 specialized AI agents. These agents handle everything from outbound sales and user onboarding to customer support and content creation. Since its public launch in 2025, the platform has grown to over 100,000 users across 28 countries and nine languages. Its matching engine cuts weeks of manual outreach down to minutes, using criteria like topic expertise, language, budget, audience profile, and geographic availability. The biggest leap is its Model Context Protocol integration—users can chat with SpeakUp directly through AI assistants like Claude or ChatGPT, describing their speaker needs in natural language and getting recommendations, outreach help, and booking support all in one conversation. Unlike traditional speaker bureaus that take commissions, SpeakUp uses a subscription model, letting speakers keep all their booking fees while enabling direct engagement between both sides of the marketplace. The shift from AI-powered to AI-native businesses is no longer theoretical. The first wave of AI adoption focused on productivity tools layered onto existing structures. Now we’re seeing companies redesign themselves from the ground up with AI at their core. Marketplaces are especially ripe for this change—their value chains revolve around matching, communication, qualification, scheduling, and relationship management, all areas where AI agents are advancing rapidly. Over the next few years, expect more platforms to shrink their human teams as digital agent networks take on increasingly complex operational roles. Success won’t come easy—consistency and trust are hard to scale with AI alone. But one thing is clear: the conversation has moved past AI as a feature. We’re now debating whether AI can be the operating system of a business itself. SpeakUp is one of the first to test this in public, and its journey will shape how we think about building companies for years to come. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

By: James Vance, Senior Columnist permanently stationed at a top-tier international tech weekly Every tech startup claims it uses AI today. Almost all just bolt AI onto existing human teams. Almost no one dares test letting AI run the whole company. We’ve talked about AI replacing work for years. No major player has tested replacing an entire full-service marketplace. Industry executives keep saying full AI operations are decades away. A small speaker booking platform just called that widespread assumption bluff. SpeakUp launched publicly to users in 2025. One year later, it serves over 100,000 people across 28 countries. It supports nine full languages, all run entirely by AI. More than 31 specialized AI agents handle work that once needed multiple human teams. Those tasks include outbound sales, onboarding, customer support, content creation, marketplace management and lifecycle marketing. The platform connects event organizers, podcasters, brands and speakers directly. Its matching engine cuts weeks of manual outreach down to a shortlist in minutes. It integrates with Model Context Protocol to work directly inside Claude or ChatGPT. Users get full recommendation, outreach and booking support without leaving their AI conversation. Unlike traditional speaker bureaus that take large commissions, it uses a subscription model. Speakers keep 100% of their booking fees and engage directly with buyers. The first wave of AI adoption only made existing human workers faster. It never changed the basic cost structure of a startup. This new wave does not treat AI as an add-on feature. It rebuilds the entire company from top to bottom around AI. Marketplaces are uniquely exposed to this shift. Most of their core value chain relies on matching, communication and scheduling. Those are exactly the tasks where AI agents are improving fastest. Traditional startup headcount models will become outdated much faster than most CEOs expect. Most new digital marketplaces will launch with skeleton human teams by 2030.

(SeaPRwire) - I was chatting with Elena Vance the other day, a former CISO for a major retail chain who now consults on physical-digital convergence security. When I brought up digital signage, she didn't mince words. "We've been asleep at the wheel," she said. "For years, we treated these networks like glorified PowerPoint slideshows. But every one of those screens is now a data endpoint, often with laughably weak credentials, sitting on the same network as your point-of-sale and inventory systems. The industry's obsession with 4K pixels is blinding it to the gaping security holes. The real innovation now isn't a brighter display; it's a verifiably secure one. Vendors who can't prove their entire stack is locked down aren't just selling a product; they're selling a future breach." Her point was stark. The battleground has fundamentally shifted. That shift is exactly what's driving a new, more rigorous approach to security validation in the sector. The old mindset saw digital signage as a passive broadcast tool. Today, these networks are deeply integrated, processing live data, connecting to cloud platforms, and interacting with core business systems across thousands of locations. As cybersecurity veteran Michael Harrington points out, this turns every component—the device, its firmware, the management software—into a potential entry point for attackers. This evolving threat landscape is why enterprises are moving beyond one-time compliance checkboxes. They're demanding evidence that security controls are consistently effective over time. A recent example is Skykit's completion of a SOC 2 Type 2 attestation. This isn't your basic security questionnaire. Conducted by an independent auditor under AICPA standards, a Type 2 audit examines how security practices actually function over a period of months. Skykit's audit covered their entire ecosystem: the Beam content platform, the Control device management software, media player firmware, and even hardware elements. For customers in regulated industries like healthcare, finance, or manufacturing, this depth matters. These organizations rely on digital signage to broadcast sensitive operational data and critical communications. A vulnerability in a media player's firmware or a lapse in the cloud management platform isn't just a glitch; it's a direct operational and compliance risk. The audit specifically looked at whether controls for access management, data encryption, incident response, and monitoring weren't just documented policies but were actively and reliably enforced. It's about proving operational resilience, not just having a security manual on a shelf. So where does this leave the digital signage market? We're at an inflection point. The proliferation of IoT and the push for smarter, data-driven physical spaces means screens are becoming more numerous and more intelligent. They're not just displaying content; they're collecting environmental data, facilitating transactions, and acting as interfaces for enterprise software. This deep integration makes them a natural target and raises the stakes for governance and risk management. The competitive landscape is being rewritten. Flashy content creation tools and bezel-less displays are becoming table stakes. The true differentiator for enterprise buyers is shifting toward demonstrable, end-to-end operational trust. Procurement teams, burned by supply chain attacks and ransomware, are applying the same scrutiny to signage vendors as they do to their core IT infrastructure providers. The vendors who will win major contracts are those who can transparently validate their security posture across the entire stack—cloud, device, firmware, network. In this new reality, a rigorous security audit isn't a cost of doing business; it's the foundation of the sales pitch. The quiet background screen has become a frontline defense, and everyone's finally starting to notice. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

By: James Vance, Senior Columnist, International Tech Weekly Most enterprise teams still vet digital signage vendors like they did 10 years ago. Modern screens aren’t just display tools, either. They’re connected endpoints that process data and link to internal systems. That gap is the quiet anxiety driving the sector’s latest shift. Cybersecurity consultant Michael Harrington has 20+ years advising Fortune 500 firms. He says modern display networks span thousands of locations. Earlier this week, Skykit announced a SOC 2 Type 2 audit completion. This review covers their full platform, not just cloud apps. It checks Beam content tools, Control management software, firmware, and hardware. The audit was conducted by an independent third-party auditor, following AICPA standards, and runs over an extended period. It also evaluated access controls, encryption, incident response, and continuous monitoring. Regulated industries like healthcare and manufacturing rely heavily on these networks now. Any weak spot can trigger broad operational risks. For enterprise buyers, this shift isn’t just a compliance checkbox anymore. Vendors that prove end-to-end security across all layers will gain an edge. Procurement teams are already applying far stricter standards. The next market battle won’t be about flashy displays—it’ll be about verified trust.

(SeaPRwire) - I had a call with Elena Rodriguez, a veteran product strategist who’s spent the last decade helping SaaS companies navigate the messy integration of analytics, and her take on Qrvey’s latest recognition was refreshingly blunt. "Another year, another leadership quadrant. Frankly, the consistency is more impressive than the placement," she said. "In embedded analytics, the real battle isn't for the flashiest AI feature—it's for operational sanity. SaaS teams are drowning in the complexity of building and maintaining their own data stacks. A platform that scores perfectly on customer recommendations for five years straight isn't just selling widgets; it's selling peace of mind. It tells me they’ve figured out the unsexy stuff: integration that doesn’t break, support that actually knows your stack, and a cost model that doesn’t explode. That’s the bedrock. The AI-native stuff is the house you build on top." Her point cuts through the hype. In a market screaming about AI, sustained customer loyalty might be the most advanced algorithm of all. Diving into the specifics, Qrvey’s recognition comes from the 2026 Wisdom of Crowds Business Intelligence Market Study by Dresner Advisory Services. This isn’t an analyst’s opinion piece; the study’s entire methodology is built on direct feedback from the people actually using these platforms. For the fifth year running, Qrvey has been flagged as a leading vendor, and this time they landed leadership spots in two key models: Customer Experience and Vendor Credibility. They also got tagged as a High Value/Low Total Cost of Ownership provider. Technically, they landed in the upper-right quadrant across three collective models, which is research-firm speak for scoring high on both product strength and vendor execution. The customer feedback highlighted some concrete strengths. Howard Dresner from the research firm pointed out that Qrvey’s ratings beat the industry average in almost every category. Where did users give them especially high marks? Things like understanding business needs, product flexibility, and integration capabilities. The consulting services and technical support got nods, and even organizational integrity was called out. Perhaps the most telling stat is that perfect customer recommendation score, a streak they’ve maintained for half a decade now. Qrvey’s CEO, Arman Eshraghi, linked the recognition to the broader shift toward AI in software, arguing that a solid embedded analytics foundation has become even more critical. The platform itself is built for multi-tenant SaaS environments, aiming to let product teams embed analytics, automation, and AI-driven features without having to construct the underlying data infrastructure from scratch. The goal is to speed up deployment while giving end-users self-service capabilities. Looking at the bigger picture, this isn’t just about one company’s report card. It’s a signal flare for where the embedded analytics market is heading. As every SaaS product under the sun scrambles to add AI-powered experiences, the analytics layer is shifting from a nice-to-have dashboard to the core nervous system of the application. It’s what turns raw operational data into the fuel for those AI features. This evolution puts immense pressure on the underlying platform. It needs to be scalable, secure, and seamlessly integrated—flaws here will cripple the fancy AI built on top. That’s why customer-centric studies like Dresner’s are becoming a crucial gut-check. In a landscape crowded with vendors promising the moon, the long-term satisfaction of existing customers is a powerful filter. It separates vendors who deliver sustainable value from those who just sell a dream. The trend is clear: the winners in the embedded analytics space won’t necessarily be the ones with the most buzzwords, but the ones that master the grind of reliability, adaptability, and genuine partnership. That’s the quiet work that earns a standing ovation, year after year. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) - The AI gold rush is entering a more pragmatic phase. For the past two years, the industry has been obsessed with training massive models, but the real bottleneck today is the transition from a cool demo to a production-grade inference engine. I recently sat down with Marcus Thorne, a veteran infrastructure architect who has spent decades navigating the transition from legacy data centers to the cloud-native era. His take on the latest move by QumulusAI and Shadeform is telling: "We are finally seeing the 'infrastructure-as-a-commodity' myth collapse. Companies are realizing that you can't just rent generic compute and expect to scale inference reliably. This partnership isn't just about adding nodes; it’s about securing a predictable, high-performance supply chain for the next wave of AI applications. The market is moving away from the 'any GPU will do' mentality toward a model where dedicated, long-term capacity is the only way to survive the production grind." The numbers behind this collaboration are straightforward but significant. QumulusAI and Shadeform have locked in a two-year deal to deploy 85 NVIDIA H200 nodes—split into 61-node and 24-node clusters—at QumulusAI’s Kansas City facility. This isn't a speculative play; it’s a direct response to the massive, scaling demand from production inference networks that need more than just intermittent cloud access. By marrying QumulusAI’s distributed data center strategy with Shadeform’s marketplace, the two companies are effectively creating a shortcut for enterprises that are tired of the procurement headaches and volatility of the broader GPU market. QumulusAI is leaning hard into its "infrastructure-first" identity, backed by a $45 million convertible note facility that gives them the capital to move fast. They’ve built a network capable of deploying fully operational GPU-as-a-Service environments in under 90 days, a timeline that feels like lightspeed in an industry often bogged down by supply chain friction. For Shadeform, this is a strategic play to offer their users a more reliable, dedicated tier of compute, moving beyond the fragmented nature of typical GPU marketplaces to provide something that actually feels like enterprise-grade infrastructure. Looking at the broader landscape, we are witnessing a fundamental pivot in how AI compute is consumed. The era of "cloud-agnostic" experimentation is giving way to a need for deep, vertical integration. As inference workloads grow, the cost of latency and the risk of supply instability become existential threats to AI startups. We’re going to see more of these "infrastructure-as-a-partnership" models, where compute providers and deployment platforms form tight, long-term alliances to guarantee capacity. The winners in the next three years won't necessarily be the ones with the most capital, but the ones who have secured the most predictable, high-performance compute pipelines. Infrastructure availability is no longer just a technical hurdle; it is the primary competitive moat. If you can’t guarantee your inference engine has the H200s it needs when the traffic spikes, your model’s performance—and your business model—will eventually hit a wall. The Kansas City deployment is a clear indicator that the industry is maturing, prioritizing reliability and long-term commitment over the fleeting convenience of the public cloud. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.

(SeaPRwire) - AUSTIN, TX – 02/06/2026 – (SeaPRwire) – With workforce regulations growing more intricate across construction, clean energy, and infrastructure industries, organizations are under mounting pressure to handle labor compliance with higher precision and responsibility. Increased audit oversight, changing apprenticeship rules, prevailing wage duties, and expanding documentation norms have turned workforce compliance from a routine administrative task into a key business priority. To address these industry hurdles, ProScore has rolled out a new advisory services division that offers hands-on support alongside its compliance technology solutions. ProScore revealed the launch of ProScore Advisory Services— a strategic extension of its workforce compliance solutions— designed to assist contractors, developers, and project stakeholders in navigating the ever-more stringent labor and regulatory mandates. Additionally, the company named Kendra Bailey as Senior Director of Advisory Services, putting a seasoned workforce compliance expert in charge of this new venture. This launch mirrors a wider trend in the construction and energy sectors, where compliance demands related to workforce reporting, prevailing wage standards, apprenticeship involvement, and federal labor rules keep getting more complex. Although digital tools have enhanced visibility and reporting functions, many organizations still need specialized knowledge to decode regulations, evaluate risk levels, and put effective compliance plans into action. Crafted to complement ProScore’s current compliance tech platform, Advisory Services gives clients direct access to workforce and labor compliance experts who can help with in-depth analysis, regulatory clarification, operational planning, and problem-solving. This service seeks to close the gap between compliance software and the actual challenges of managing a workforce in real-world settings. Bailey brings a wealth of experience in construction operations, labor compliance, payroll management, apprenticeship administration, and process improvement. Over the course of her career, she has spearheaded projects centered on workforce reporting, operational system rollouts, compliance program oversight, and cross-team project coordination. Her background includes creating scalable processes that enable organizations to boost efficiency while staying compliant with regulations. Josh Oglesby, Chief Operating Officer of ProScore Technologies, states that workforce compliance is now among the most critical operational and financial risks for contractors and project owners. He pointed out that organizations are increasingly needing more than just tech tools— they gain value from having access to seasoned professionals who grasp both regulatory mandates and on-the-ground operational realities. The launch of Advisory Services greatly expands ProScore’s customer support offerings. Beyond its software solutions for certified payroll reporting, apprenticeship tracking, prevailing wage compliance, and workforce documentation management, clients can now utilize structured advisory services to help identify compliance risks, assess workforce practices, and enhance audit preparedness. The enhanced service model features: Dedicated workforce compliance experts for advanced guidance and support • Practical explanations of Inflation Reduction Act (IRA), prevailing wage, apprenticeship, and Davis-Bacon rules • Clear escalation routes for complex labor compliance issues and regulatory queries • More consistent, risk-oriented compliance management approaches • Expert-conducted assessments and operational help when extra support is needed Bailey said that many organizations dealing with workforce compliance challenges need experienced partners who understand both the regulatory framework and the day-to-day realities of project execution. She mentioned that the advisory function was established to give clients more confidence and clarity as they handle their increasingly complex workforce responsibilities. As federal and state workforce regulations keep evolving, ProScore predicts that organizations will increasingly look for integrated solutions that blend technology, expertise, and operational support. Via its Advisory Services, the company aims to help clients shift from disjointed compliance processes to a more organized, transparent, and audit-ready workforce management system. By merging digital compliance tools with specialized workforce advisory expertise, ProScore is continuing to solidify its role as a workforce governance and compliance partner for organizations running complex construction, infrastructure, and clean energy projects. About ProScore Technologies ProScore Technologies is a provider of workforce compliance solutions for the construction, infrastructure, and energy sectors. The company supports contractors, developers, and project stakeholders in managing labor compliance requirements via a mix of technology, advisory services, and operational know-how. Its platform centralizes certified payroll reporting (CPR), prevailing wage compliance, apprenticeship tracking, and workforce documentation needed under the Inflation Reduction Act (IRA), Davis-Bacon regulations, and other federal labor standards. Using AI-powered technologies and specialized compliance support, ProScore helps organizations lower regulatory risk, keep audit-ready records, and enhance workforce governance across large-scale projects. This article is provided by a third-party content provider. SeaPRwire (https://www.seaprwire.com/) makes no warranties or representations regarding its content. Category: Top News, Daily News SeaPRwire provides global press release distribution services for companies and organizations, covering more than 6,500 media outlets, 86,000 editors and journalists, and over 3.5 million end-user desktop and mobile apps. SeaPRwire supports multilingual press release distribution in English, Japanese, German, Korean, French, Russian, Indonesian, Malay, Vietnamese, Chinese, and more.