
Varicent Joins Forces with ServiceNow
Varicent has announced a strategic partnership with ServiceNow to integrate Varicent's enterprise-grade Sales Planning and Incentive Compensation solutions into the ServiceNow Customer Workflows ecosystem.
This integration enables lead, customer, opportunity, and sales activity data from ServiceNow's CRM to flow seamlessly into the Varicent platform. The partnership gives revenue leaders power to optimise territories, quotas, and incentive structures at enterprise scale, and to adjust plans rapidly when the market shifts.
'Our partnership with Varicent is a strategic step in delivering smarter, more agile go-to-market operations for our customers,' said Anandan Jayaraman, Vice President of Product Management, CRM and Industry Workflows at ServiceNow.
'Together, ServiceNow CRM and Varicent SPM give CROs and RevOps leaders the real-time intelligence and automation they need to align strategy to execution and accelerate growth.'
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ServiceNow already uses Varicent to power its own incentive compensation programs internally. This is further validation that the platform handles complexity at scale, with the flexibility to evolve as needs change.
'I've worked with many platforms, but what stood out about Varicent was the flexibility, the service, and the ability to evolve with our needs,' said Rick Butler, Vice President of Compensation at ServiceNow.
'Whether it's adapting plans mid-year, integrating with our own workflows, or getting hands-on support, the experience has been outstanding. It's built for the complexity of modern compensation teams.'
This partnership strengthens Varicent's position as the only fully integrated SPM platform—one that combines Sales Planning, Incentive Compensation, and Performance Optimisation in a single AI-powered solution.
'The age of disconnected sales systems is over,' said Jason Loh, Chief Growth Officer at Varicent.
'This partnership fuses two category leaders to deliver a unified revenue operating system for the enterprise. We're solving for scale, complexity, and strategic control, where it actually matters. CROs need more than visibility. They need actionability.'
The joint solution will help customers: Automate sales territory and quota modelling using real-time CRM data.
Align compensation plans with GTM strategy through scenario-based planning.
Reduce manual errors and speed up payout cycles.
Improve seller performance and increase quota attainment.
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Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
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Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
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HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
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Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
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Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
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Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
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Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
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Tahawul Tech
3 days ago
- Tahawul Tech
'Agentyne BDR is a specialised strategic sales tool, not a generic assistant.' – Rahill Ghaffar, Co-Founder of Agentyne
CNME Editor Mark Forker sat down for an exclusive interview with Rahil Ghaffar, Co-Founder of Agentyne, a start-up company founded in 2024, that deploys AI agents across enterprise workflows. Agentyne specialises in data, voice and security, and believes its technology can empower sales professionals in competitive marketplaces like the United States and Canada with the tools they need to help them engage every prospect promptly. Ghaffar needs no introduction to our readers, and is one of the most respected cybersecurity professionals in the Middle East. He has enjoyed a decorated career to date, and has previously worked for cybersecurity leaders such as Virsec, Whiteswan Identity Security and Palo Alto Networks. However, in October 2024, his entrepreneurial streak came to the fore when he decided to co-found Agentyne, and 10 months on, CNME sat down with Ghaffar to find out how the start-up company has performed since entering the market. Every startup has an origin story. What sparked the idea for Agentyne, and how has the journey evolved since its inception? Agentyne was born from a direct observation: countless businesses, especially those rapidly scaling or targeting competitive markets like the US and Canada, were losing significant revenue due to slow or inconsistent follow-up on valuable inbound leads. We saw skilled sales teams bogged down by the sheer volume, unable to engage every prospect promptly. The spark was the conviction that AI could revolutionise this critical top-of-funnel process. Our journey began with creating an intelligent voice agent specifically for BDR tasks. It has since evolved into developing a comprehensive solution focused on not just making calls, but on delivering hyper-personalised engagement, automating complex workflows, and providing actionable insights. Our evolution is driven by one goal: empowering businesses to capture every opportunity and scale their success efficiently. With the GCC region's strong focus on digital transformation and customer-centric growth, how does Agentyne BDR specifically help businesses in this market scale their sales outreach and improve customer engagement, particularly when targeting expansion into competitive arenas like the US and Canadian markets where managing a surge in digital inbound inquiries is key? Agentyne BDR is a strategic enabler for GCC businesses targeting North American expansion. We directly address the challenge of managing high-volume inbound leads from these markets by providing immediate AI-driven engagement, ensuring no opportunity is lost due to time-zone differences or human bandwidth. This rapid response is critical for conversion in the US and Canada. Our solution allows GCC companies to establish a significant, cost-effective outreach presence, scale efficiently without proportionally increasing local headcount, and operate optimally across various business hours globally. Agentyne empowers them to turn the complexities of international lead management into a streamlined engine for growth and superior customer engagement. How does Agentyne BDR ensure its voice interactions remain both natural and emotionally intelligent in real-time conversations? Agentyne BDR delivers exceptionally natural and emotionally intelligent voice interactions by combining advanced AI. We utilise state-of-the-art, human-like Text-to-Speech and Speech-to-Text, coupled with sophisticated Natural Language Understanding (NLU) for fluid, multi-turn dialogues. Crucially, real-time sentiment analysis allows our AI to gauge prospect emotions and dynamically adapt its tone and responses. This, combined with dynamic scripting informed by pre-call data, ensures each conversation is contextually relevant and engaging, moving far beyond robotic interactions to create genuine connections – vital for any market, including discerning audiences in the US and Canada. Our system continuously learns, ensuring interactions become even more refined over time. What core technologies or models power Agentyne's sentiment analysis and contextual lead qualification? Agentyne's sentiment analysis and contextual lead qualification are driven by robust machine learning models and advanced NLU. Our sentiment analysis engine interprets both vocal tones and lexical cues for a deep understanding of prospect emotions. For contextual lead qualification, our NLU models, which can be enhanced by platforms like Google Cloud's Vertex AI, dissect conversations to extract key entities, intent, and qualifying information. The AI BDR intelligently navigates qualification frameworks, efficiently gathering critical data, especially vital when processing high-volume leads from major markets. This outcome-driven approach ensures sales teams receive prioritised, contextually understood leads ready for focused engagement. How does Agentyne maintain accuracy and privacy while syncing with CRM platforms in real time? Accuracy and privacy are paramount in our upcoming deep CRM integrations. We'll use secure OAuth 2.0 for permission-based access to platforms like Salesforce and Zoho, adhering to strict API best practices and data minimisation principles. Our focus is on real-time or near real-time synchronization to ensure our AI BDR engages leads with the freshest information – crucial for immediate inbound follow-up – and that CRMs are instantly updated. All data is encrypted in transit and at rest. With client-controlled field mapping and a design mindful of global data privacy regulations, including those relevant for North American operations, we ensure data integrity and support our clients' compliance. What sets your voice-first AI apart from other AI calling or virtual assistant solutions currently on the market? Agentyne BDR is a specialised strategic sales tool, not a generic assistant. Our key differentiator is enabling businesses to effectively penetrate and scale in demanding markets like the USA and Canada through rapid and intelligent inbound lead engagement. While others make calls, our AI automates the core BDR workflow – from immediate, personalised outreach to action-based lead categorization and follow-up triggers. It's built to turn high-volume North American inbound interest into qualified opportunities by ensuring no lead is missed due to human bandwidth or time-zone constraints. This focus on tangible sales outcomes and market expansion provides a distinct competitive edge. What types of customers or teams have seen the most success using Agentyne BDR during the pilot phase? Our pilot phase has shown remarkable success with teams whose growth hinges on efficiently converting leads. Particularly, businesses spearheading US & Canadian market entry or expansion have found great value. These are companies leveraging Agentyne to manage high velocity inbound leads from North America gaining a crucial foothold by ensuring immediate 24/7 capable follow-up which is absolutely critical for conversion in those competitive arenas. We've also seen significant success with organisations handling high-volume global inbound leads where teams overwhelmed by their digital marketing success use Agentyne to guarantee prompt personalized first touches which in turn significantly boosts their MQL-to-SQL rates. Furthermore teams focused on optimizing BDR efficiency are seeing benefits as businesses are freeing their human BDRs from repetitive top-of-funnel tasks allowing them to focus on high-value interactions with AI-warmed leads. Really the common thread across all these successful pilots is how they're leveraging Agentyne to transform the challenge of timely scalable lead engagement into a significant sales advantage.


TECHx
6 days ago
- TECHx
ServiceNow Reveals Drop in AI Maturity Across EMEA
Home » Tech Value Chain » Global Brands » ServiceNow Reveals Drop in AI Maturity Across EMEA ServiceNow, the AI platform for business transformation, has released its latest Enterprise AI Maturity Index in partnership with Oxford Economics. The report revealed a surprising trend across Europe and the Middle East. Despite growing AI investment, the region's average AI maturity score dropped by 10 points year over year. Enterprises are struggling to keep up with rapid innovation. Many are finding it difficult to turn AI ambitions into scalable, effective solutions. The index evaluates five components: leadership and strategy, workflows, talent, governance, and investment. Together, these factors provide a full picture of an organisation's readiness to scale AI. Now in its second year, the global report includes insights from nearly 4,500 respondents worldwide. Of those, 1,950 were from nine EMEA markets, including the UAE and Saudi Arabia. ServiceNow reported that agentic AI is driving experimentation in the region. However, the pace of innovation is outpacing organisations' ability to implement AI in a structured, governed way. As a result, the region's average AI maturity score fell from 44 to 34 out of 100. Cathy Mauzaize, President, EMEA at ServiceNow, stated that although organisations are accelerating AI projects, most are still in the early stages. She emphasised the need for proper foundations, skills, and data strategies to succeed. IDC forecasts that European spending on AI will reach $144.6 billion by 2028. The potential is significant, but execution remains key. The report outlines three trends shaping AI progress in the region: Organisations are deploying more AI use cases. Nearly 47% in Europe and the Middle East reported launching over 100 use cases in the past year. Nearly 47% in Europe and the Middle East reported launching over 100 use cases in the past year. Agentic AI adoption is growing. While only 15% currently use it, 42% plan to implement it in the next year. While only 15% currently use it, 42% plan to implement it in the next year. Governance remains a critical gap. Data security is the top barrier to AI value in the UAE. ServiceNow highlighted that governance must be embedded from the beginning. Policies, oversight, and accountability should guide the deployment of technologies like agentic AI. In the UAE, the AI maturity score is 35, the highest in the region alongside the UK. However, only 9% of organisations have reached the most advanced stage of AI maturity. ServiceNow concluded that for AI to scale effectively and safely, strategic governance and skilled talent are essential.


Channel Post MEA
6 days ago
- Channel Post MEA
AI Maturity Declines In The Middle East
ServiceNow has released its latest Enterprise AI Maturity Index in partnership with Oxford Economics. The findings reveal a surprising trend in Europe and the Middle East: although AI investment continues to grow, the average AI maturity score across the region has dropped by 10 points year over year. As enterprises struggle to keep pace with rapid innovation, many are finding it difficult to translate AI ambition into scalable, effective execution. The index examines five key components: leadership and strategy, workflows, talent, governance, and investment. Together they provide a comprehensive view of how prepared organisations are to scale AI successfully; their AI maturity level. Now in its second year, the global report draws on insights from almost 4,500 respondents globally, including 1,950 across nine markets in Europe and the Middle East including the United Arab Emirates (UAE) and Saudi Arabia. It shows that emerging technologies such as agentic AI are fuelling experimentation and delivering early returns across the region. However, the pace of change is moving faster than organisations' ability to scale AI in a structured, governed way. To this end, the region's average AI maturity score has dropped 10 points year on year, from 44 to just 34 out of 100. Cathy Mauzaize, President, EMEA at ServiceNow, says 'Organisations across Europe and the Middle East are accelerating their AI projects, but many are still in the early stages of their journey. They recognise the potential and now is the time to build on that energy. To keep moving forward, organisations are exploring how to lay the right foundations to make the data work for them, and give their people the skills to use AI with confidence. According to IDC, European spending on artificial intelligence will reach $144.6 billion in 2028[1]. The opportunity is huge, but only if we focus on getting the basics right today.' The report also outlines three major trends shaping the region's AI journey and what's needed to turn early success into lasting transformation. AI is outpacing organisations' capacity to harness it There is a clear appetite for innovation, with nearly half (47%) of organisations in Europe and the Middle East launching more than 100 AI use cases in the past year. UAE-based organisations are showing similar AI activity (49%), reflecting growing interest in large-scale experimentation. Still, most remain in the early stages of implementation, as reflected in this year's overall European AI maturity score of just 34. The majority of the region's organisations are focused on experimentation and expansion, with only 6% reaching the augmentation stage, which is the most advanced stage identified in the survey. In the UAE, the AI maturity score stands at 35 — which is the highest in Europe and the Middle East, tied with the UK — with 9% of organisations progressing to the most advanced stage. Agentic AI presents a clear opportunity Agentic AI, the AI that can act autonomously, is positioned to reshape enterprise automation. However, awareness varies widely across the region. While 15% of organisations in Europe and the Middle East are already using agentic AI and 42% plan to implement it within 12 months, familiarity is still in its early days. Only one in five organisations are very family with agentic AI, revealing a significant knowledge gap. The opportunity is clear, with over half of early adopters in Europe reporting improved gross margins (58%), greater efficiency and productivity (59%), and better experiences (60%). Governance is the missing link Rising adoption brings rising risk. AI at scale introduces serious challenges around cybersecurity, privacy, and regulatory compliance. And while the number of UAE organisations that have made significant strides in AI data governance rose slightly from 42% in 2024 to 45% in 2025, there is a need for a greater focus on managing AI risk effectively. This is particularly true given that data security is cited by UAE organisations as the top barrier to realizing AI value. To scale AI safely and effectively, governance must be foundational — not an afterthought. That means embedding policy, oversight, and accountability into platforms from the outset and approaching new technologies like agentic AI with a clear strategy in place.