Netcore Cloud, a global leader in Agentic Marketing, has entered into a strategic partnership with Flair Airlines, Canada’s leading ultra-low-cost carrier, to reimagine customer engagement through AI-powered personalization and omnichannel automation.

This collaboration marks a key step in Flair’s evolution from a no-frills carrier to a brand deeply invested in creating seamless, customer-first digital experiences.

AI at the Heart of Customer Personalization

Flair Airlines sought a technology partner with proven aviation expertise—one capable of building a future-ready AI roadmap and scaling engagement across every digital touchpoint. Netcore Cloud emerged as the clear choice, known for driving digital transformation across the global airline sector.

The partnership is anchored in three core pillars:

• AI-Driven Personalization: Tailoring every interaction with relevant, contextual content to enhance customer satisfaction.

• Omnichannel Automation: Streamlining communication across booking, travel, and post-flight stages.

• Advanced Analytics: Delivering actionable insights to help marketing teams optimize engagement and improve ROI.

Kalpit Jain, Group CEO of Netcore Cloud, said, “Flair embarked on a transformation from being a no-frills carrier to becoming a meaningful part of every customer’s travel experience. Our role extended beyond technology—we helped embed a culture of AI-driven personalization that fuels ancillary revenue growth and long-term loyalty.”

Elevating Customer Experience with AI

This partnership underscores the growing role of AI in aviation marketing, where automation and predictive insights are reshaping how airlines engage passengers. By integrating Netcore’s AI-led platform, Flair aims to deliver frictionless, data-informed experiences—from personalized booking recommendations to timely travel updates.

For passengers, that means smarter interactions and greater convenience at every stage of the journey. For Flair, it means measurable improvements in engagement, retention, and ancillary revenue streams.

A Strategic Step Toward the Future of Air Travel

As airlines worldwide race to modernize their digital ecosystems, the Netcore–Flair partnership sets a new benchmark for AI-driven customer engagement in aviation. By combining Netcore’s Agentic Marketing platform with Flair’s growth ambitions, the collaboration demonstrates how technology can humanize digital touchpoints while maintaining operational efficiency.

With this move, Flair cements its position as a customer-centric, digitally advanced airline, aligning innovation with affordability—a balance few carriers have achieved at scale.

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Moving Traffic Media (MTM), a performance marketing agency specializing in paid media, enterprise SEO, and analytics, has announced the acquisition of SpiderBoost, a Miami-based digital agency founded in 2009 by siblings Angelica and Armando Martinez. The move expands MTM’s service offerings, merging performance marketing, SEO, and technical web development under one AI-driven umbrella.

SpiderBoost, known for its deep expertise in WordPress and Shopify development, serves clients across healthcare, nonprofit, and e-commerce sectors. Its impressive client roster includes Jackson Health System, University of Miami, and United Way—organizations that rely on precise, high-performance digital infrastructure.

Building a Unified AI-First Marketing Powerhouse

Jon Clark, Managing Partner at Moving Traffic Media, emphasized that the nature of search has fundamentally changed:

“Search isn’t a singular channel anymore. It’s wherever people—and AI—look for answers. Competing and winning now requires a Search Everywhere strategy that spans web, search, LLMs, and social.”

This acquisition enables MTM to create end-to-end digital ecosystems designed for AI-native discovery. By integrating SpiderBoost’s development and UX design capabilities with MTM’s performance and analytics frameworks, the agency can deliver faster testing, unified measurement, and more agile client support.

SpiderBoost CEO Armando Martinez highlighted the strategic fit:

“As Gen AI reshapes digital marketing, SEO has never been more vital. Joining forces with MTM unites our technical foundation with their media and optimization expertise—building a future-ready model for intelligent marketing.”

A Shared Vision for Scalable, Intelligent Growth

Under the new structure, SpiderBoost will operate as “SpiderBoost, a Moving Traffic Media Company.” The Miami-based team brings nearly two decades of platform experience to MTM’s performance marketing playbook.

SpiderBoost President Angelica Martinez noted how AI-driven discovery tools are expanding the definition of SEO:

“The rise of ChatGPT and Claude introduces new search surfaces where brands must have presence. Partnering with MTM multiplies our value while preserving our hallmark precision in development.”

Joe DeVita, Managing Partner at MTM, added:

“This combination removes third-party bottlenecks and allows us to recommend, execute, and optimize as one integrated team. It’s how we future-proof clients for the AI-native landscape.”

What the Integration Means for Clients

Clients of both firms will experience a seamless transition. Existing teams, scopes, and points of contact remain the same. The merger simply adds new capabilities and efficiencies, including:

• Development & Creative: WordPress, Shopify, and Magento builds with CRO-focused UX, analytics integration, accessibility (WCAG), and HIPAA-aligned workflows.

• Enterprise SEO: Answer Engine Optimization and Relevance Engineering to improve visibility across traditional and AI-driven search environments.

• Performance Media: Multi-channel campaigns powered by creative testing, automation, and decision-grade analytics.

This combination enables MTM to deliver holistic marketing solutions designed for a world where search is conversational, multi-surface, and powered by AI.

Redefining the Future of Performance Marketing

The acquisition signals more than growth—it’s a statement about where marketing is headed. As AI reshapes discovery, personalization, and measurement, agencies that unite creative, technical, and analytical strengths are positioned to lead.

By integrating SpiderBoost’s technical excellence with MTM’s marketing intelligence, Moving Traffic Media has built a blueprint for the AI-first agency model—one that’s agile, measurable, and ready for the evolving digital economy.

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Syndio, the global leader in Decision Intelligence for Pay, has unveiled Syndi, an AI-native platform designed to help organizations make smarter, faster, and fairer compensation decisions. Built on nearly a decade of proprietary data, Syndi combines AI-driven insights, explainability, and workflow integration to give HR and finance leaders precise, real-time pay recommendations directly within Microsoft Teams, Slack, and ATS systems.

From Fragmented Decisions to Intelligent Action

For most organizations, compensation decisions happen in silos—guided by inconsistent data, outdated benchmarks, and reactive adjustments. This fragmented process often leads to talent loss, budget inefficiency, and internal pay inequities.

Syndi replaces this guesswork with real-time, data-backed guidance that integrates market intelligence, internal pay structures, and workforce signals. The result is a unified system that helps companies compete effectively, control costs, and protect pay equity without compromising speed or fairness.

Hywel Jones, VP of Total Rewards at TD SYNNEX, one of Syndio’s enterprise design partners, noted:

“Syndi embeds intelligence across the business so decisions are fast, fair, and instantly informed by the right data. It’s a real-time coach that augments human judgment to reward performance, optimize spend, and protect pay equity.”

Syndi: Built for How Teams Work Today

Unlike traditional HR platforms, Syndi is embedded directly within daily workflows, allowing teams to make informed decisions without disruption. The platform’s capabilities center around five key benefits:

• Precise: AI comp agents trained on each company’s pay policies.

• Instant: Contextual, explainable recommendations delivered in real time.

• Competitive: Dynamic offers optimized for market rates and internal fairness.

• Retention-Focused: Transparent pay structures that reduce attrition and bias.

• Actionable: Cross-functional coordination between HR, Finance, and leadership.

This approach allows companies to move at market speed while maintaining fairness and compliance—turning compensation from a reactive process into a strategic advantage.

Trustworthy AI: Transparent, Adaptive, and Explainable

Syndi’s architecture blends adaptive AI with deterministic rules, ensuring that automation never overrides policy. Its Decision Graph™, a proprietary network of expert compensation agents, continuously learns from data and context to improve guidance accuracy.

Unlike “market-data-first” systems, Syndi integrates market trends with internal pay philosophies, creating a balance between competitiveness and equity. Every recommendation is explainable, auditable, and policy-aligned, giving decision-makers full visibility and confidence.

Syndio CEO Maria Colacurcio described Syndi’s value succinctly:

“Syndi turns compensation from a guessing game into a measurable advantage. It helps companies pay competitively, fairly, and efficiently—all at once. When organizations get pay right, everything changes: performance improves, culture strengthens, and trust grows.”

Launching a New Category: Decision Intelligence for Pay

With Syndi, Syndio isn’t just releasing a product—it’s defining a new category. Decision Intelligence for Pay bridges the gap between market competitiveness, fairness, and cost optimization, solving one of HR’s most complex challenges.

The platform’s initial release focuses on new hire compensation, guiding recruiters to balance external rates with internal structures. Future versions will expand into promotions, transfers, and merit cycles, embedding AI-driven intelligence across the full employee lifecycle.

Backed by nearly a decade of data from 10 million employee records across industries, Syndi represents the next evolution of equitable, data-informed pay management.

The Future of Pay Equity Is Intelligent

As companies navigate an era defined by talent competition and AI disruption, Syndi offers a model for trustworthy, adaptive pay intelligence. It empowers decision-makers to act confidently—with fairness, compliance, and strategy built in.

With Syndi, Syndio transforms compensation from a static process into a living intelligence system—one that evolves with every decision, learns from every interaction, and redefines what it means to get pay right.

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Guidehouse, a global AI-led professional services firm, has released The Managed Services Guide, a flagship report that redefines how managed services are delivered in the age of AI and automation. The report outlines a model for intelligent operations that moves beyond transactional outsourcing toward adaptive, performance-driven systems.

“Intelligent operations represent a model for managed services that is built for performance, not just process,” said Ali Bokhari, Managed Services Leader at Guidehouse. “By combining automation, AI, and human expertise into modular, repeatable systems, organizations can scale what makes them distinct while driving measurable impact.”

As enterprises face rising pressures—shrinking budgets, evolving compliance demands, rapid tech disruption, and talent shortages—managed services are becoming a foundation for resilience and scalability. Providers are integrating people, processes, and technology to deliver consistent, outcome-focused performance.

The Guide introduces four key principles shaping the intelligent operations era:

• Design for outcomes and unique strengths

• Use digital workers to amplify human impact

• Make data your control layer for visibility

• Configure to fit instead of customizing

“AI is no longer just a tool—it’s a teammate,” said Stuart Brown, Technology Leader at Guidehouse. “Digital workers handle volume and surface insights, allowing humans to focus on what they do best—nuanced decisions, exception handling, and strategic oversight.”

The report also tracks emerging trends shaping the next wave of managed services:

• Digital workers becoming part of org charts

• Agentic AI in decision-making and workflow orchestration

• Expansion into front-office functions like onboarding and customer engagement

• Outcome-based pricing replacing traditional rate cards

Guidehouse will host a live webinar on November 6, 2025, to explore these insights with leaders across industries including healthcare and financial services.

The Managed Services Guide marks the third installment in Guidehouse’s 2025 thought leadership series, offering a forward-looking framework for how intelligent operations can transform business performance, transparency, and adaptability.

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Smarsh, the global frontrunner in digital communications data and intelligence, has once again been recognized as a Leader in Gartner’s 2025 Magic Quadrant for Digital Communications Governance and Archiving (DCGA). This marks the company’s second consecutive recognition, underscoring its expanding influence in the governance and compliance technology space.

The company’s AI-native platform, designed for modern compliance environments, is now integral to how global financial institutions and government agencies transform oversight into strategic foresight.

Kim Crawford Goodman, CEO of Smarsh, stated, “We’re proud to be recognized once again by Gartner as a Leader. Our focus is turning unstructured data into strategic intelligence that drives resilience and insight.”

Why It Matters: Governing the GenAI Frontier

As generative AI tools like Microsoft Copilot and ChatGPT redefine enterprise productivity, they also introduce a new wave of regulatory and compliance risks. Organizations operating in regulated sectors must balance innovation with data governance.

Smarsh’s platform enhancements directly tackle these challenges by offering AI-driven capture, archiving, and supervision tools. This ensures that regulated organizations can adopt GenAI safely—without compromising policy compliance or data security.

Key Innovations Powering Smarsh’s Momentum

Over the past year, Smarsh has accelerated its AI-native platform strategy, introducing several features that enhance both governance and operational agility:

• GenAI Governance Integrations:
  New integrations with Microsoft Copilot and OpenAI ChatGPT extend compliance coverage across next-generation collaboration environments.

• AI-Enhanced Compliance Tools:
  The new Intelligent Agent Filter helps reduce reviewer workloads by surfacing high-priority risks, while an AI Assistant for supervision offers contextual insights for faster investigations.

• Next-Gen Voice Analytics:
  Following the acquisition of CallCabinet, Smarsh has strengthened its voice capture and analytics suite with transcription, sentiment analysis, and speaker identification.

• Open Platform Flexibility:
  The Smarsh platform unifies all communication data sources into a single, 360-degree view of risk. Features like Bring Your Own Model (BYOM) and Bring Your Own Signal (BYOS) empower clients to tailor AI-driven risk models.

• Enterprise Scalability:
  A tiered storage model helps customers optimize data archiving costs, while expanded APIs integrate with e-discovery leaders like FTI, Relativity, and Exterro.

Turning Compliance Data into Strategic Intelligence

What sets Smarsh apart is its vision of using compliance data as a strategic asset. By leveraging predictive intelligence, institutions can not only meet oversight requirements but also extract insights that inform decisions and shape future business strategies.

The company’s efforts have earned multiple industry accolades, including Best e-Comms Surveillance Solution at the RegTech Insight USA Awards and inclusion in FinTech Global’s AIFINTECH100 list for top AI technologies in financial services.

Industry Context and Competitive Edge

The DCGA space is evolving rapidly as enterprises navigate new digital surfaces created by AI and remote collaboration. Smarsh’s consistent placement in Gartner’s Leader quadrant signals stability, scalability, and innovation, placing it alongside top-tier compliance intelligence providers.

While competitors explore isolated AI integrations, Smarsh’s approach—combining open architecture, extensible APIs, and AI-native workflows—positions it at the center of the intelligent governance ecosystem.

The Road Ahead

Smarsh’s recognition by Gartner affirms its role as a pioneer in AI-enabled digital communications governance. As organizations integrate more generative AI tools into daily workflows, the need for unified compliance oversight will continue to rise.

By evolving its platform around AI, automation, and open data control, Smarsh is not only future-proofing compliance operations but also redefining how regulated industries leverage communication data for growth.

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RingCentral, Inc. (NYSE: RNG) has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Unified Communications as a Service (UCaaS)—marking its 11th consecutive year in the Leaders quadrant. This consistent recognition underscores RingCentral’s dominance in the UCaaS market and its continued commitment to AI-driven innovation.

In addition to this placement, RingCentral ranked #1 in two of six Use Case categories and tied for the top spot in another in the Gartner Critical Capabilities for UCaaS report. These rankings highlight the company’s ability to deliver reliable, intelligent communication experiences that power business agility and human connection at scale.

Transforming Voice Into Business Intelligence

Kira Makagon, President and Chief Operating Officer at RingCentral, emphasized the impact of AI on modern communication:

“AI has fundamentally changed how businesses engage with their customers — empowering people in every role and unleashing an entirely new era of human potential,” Makagon said.

She added that RingCentral is turning voice—the most essential form of communication—into a strategic business asset. By analyzing and enhancing voice interactions through AI, the company enables enterprises to make smarter, faster, and more informed decisions.

This transformation moves communication beyond connectivity—it becomes an intelligence layer driving performance, customer satisfaction, and operational insight.

AI Innovation at the Core of Unified Experiences

RingCentral’s flagship RingEX™ platform remains one of the most trusted UCaaS solutions in the market, consistently praised for its:

• High reliability and uptime across global deployments

• Intuitive, feature-rich telephony and mobility

• Seamless integrations with leading third-party applications and workflows

At the same time, RingCentral continues to expand its influence through RingCX™, its AI-first Contact Center as a Service (CCaaS) platform. By combining UCaaS and CCaaS under one intelligent ecosystem, RingCentral provides unified employee and customer experiences that drive measurable business outcomes.

This integrated approach allows organizations to bridge the gap between internal collaboration and external engagement, improving responsiveness and strengthening customer loyalty.

A Decade of Consistent Leadership

Being named a Leader for 11 consecutive years in Gartner’s Magic Quadrant is no small feat. It reflects RingCentral’s sustained excellence in innovation, reliability, and customer satisfaction—key differentiators in a market rapidly evolving under the influence of AI.

As hybrid work models persist and enterprises demand more adaptive communication infrastructures, RingCentral’s AI-powered ecosystem continues to stand out for its scalability, open architecture, and analytics-driven insights.

The company’s long-term vision centers on transforming every voice interaction into actionable intelligence, reinforcing its position at the intersection of communication, AI, and enterprise productivity.

Industry Implications

RingCentral’s recognition signals a broader trend: Unified Communications is shifting from a connectivity tool to an intelligence platform. Competitors like Microsoft, Zoom, and Cisco are investing heavily in similar AI integrations, but RingCentral’s long-standing expertise and early adoption of AI in voice and collaboration keep it ahead of the curve.

The 2025 Gartner UCaaS report reaffirms that AI-native communication ecosystems will define the next phase of digital transformation. For RingCentral, that future is already here.

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Litera, a global leader in legal AI technology, has made one of the boldest moves yet in the legal tech industry. The company announced that its new AI legal agent, Lito, will now be automatically included in all Litera drafting and workflow products — Draft Base, Pro, Advanced, and Kira — with no additional cost for existing or new customers.

This sweeping update instantly places AI-powered automation in the hands of tens of thousands of lawyers across 15,000 firms, democratizing access to advanced tools that once required dedicated budgets or specialized training.

“Today marks a watershed moment for the legal profession,” said Avaneesh Marwaha, CEO of Litera. “Tens of thousands of lawyers just gained technology that delivers 10x efficiency gains, directly in the tools where they do their work.”

AI That Meets Lawyers Where They Work

Rather than forcing adoption through separate applications, Lito is embedded directly into Microsoft Word, Outlook, and the Web, where most legal work already happens. This seamless integration ensures zero friction and zero learning curve, making enterprise-grade AI accessible to lawyers at every level—from BigLaw to solo practitioners.

“After three decades as the legal industry’s trusted partner, we understand that revolutionary change must meet professionals where they are,” Marwaha added.

Litera’s approach contrasts sharply with the growing number of standalone AI legal startups. Instead of offering yet another chatbot or LLM interface, Lito is built into the firm’s existing ecosystem, creating an AI-native experience without disrupting established workflows.

Lito: Built by Lawyers, for Lawyers

Introduced at ILTACON 2025, Lito is an agentic AI system grounded in 30 years of Litera’s legal tech expertise. It comes preloaded with 11 core legal AI skills designed by Litera’s in-house legal knowledge engineers. These skills cover tasks in Capital Markets, M&A, Litigation, Business Development, and Compliance — and the company plans to expand them continuously.

High-profile law firms in the Early Access Program helped refine the product’s design and usability.

“The platform has a user-friendly interface and simplified the need for prompt engineering through pre-defined skills,” said Joshua Tan, Partner at Delta Law Corporation. “Lito shows significant promise for reducing the time required for menial tasks.”

Unlike generic AI tools that perform single actions, Lito can chain multiple skills together into guided workflows, handling everything from document drafting to compliance checks — all within a single, unified Litera One interface.

A Fusion of LLMs and Proven Legal Engines

Lito is powered by a blend of large language model (LLM) technology and Litera’s rules-based legal engines, merging frontier AI capabilities with the company’s deep domain knowledge. This hybrid architecture ensures that outputs remain accurate, explainable, and compliant—a critical need in an industry governed by precision and trust.

The agent also integrates with iManage and NetDocuments, enabling firms to weave institutional knowledge directly into each workflow.

“The next wave of legal AI won’t be defined by who has the largest dataset or deepest pockets, but by who can make intelligence accessible inside the daily workflow,” said Ryan O’Leary, Research Director at IDC.

The Broader Vision: AI for Every Firm

According to Grand View Research, the global legal AI market was valued at $1.45 billion in 2024 and is projected to reach $3.9 billion by 2030. Litera’s move positions it ahead of the curve—not just as a software provider, but as a force driving AI equity across the legal landscape.

By embedding explainable, cost-free AI tools into widely used products, Litera is setting a precedent for how technology companies can scale intelligence responsibly across professional sectors.

“While others talk about the future of legal AI, we’ve just delivered it at scale,” Marwaha said. “This is about giving every lawyer, regardless of firm size or budget, the power to work smarter.”

With Lito, Litera isn’t just building another AI product. It’s redefining how the legal industry works — one document, one workflow, and one intelligent agent at a time.

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Enterpret, a leader in customer intelligence, has launched a new agentic customer feedback platform designed to help businesses move beyond understanding customer pain points to autonomously resolving them. The platform ingests feedback from over 50 channels — including Intercom, Gong, Reddit, and X — to create a unified, evolving view of the customer experience.

Traditional feedback systems rely on manual tagging or limited surveys, offering only fragmented insights. Enterpret replaces these outdated models with adaptive AI that identifies critical issues, quantifies revenue impact, and takes action in real time. Leading brands such as Perplexity, Notion, Canva, and Fanatics are already leveraging Enterpret to strengthen product performance and boost customer loyalty.

At its core, the platform integrates two major innovations:

• Customer Knowledge Graph – Unifies feedback across users, products, and revenue data, creating a dynamic system of record.

• Adaptive Taxonomy – Continuously learns customer language and context, eliminating manual tagging.

These capabilities are supported by Wisdom AI Agents, which enable teams to query feedback in natural language (“Why are signups stalling in Europe?”), and Action Agents, which autonomously detect issues and act in real time — such as escalating premium account concerns before churn occurs.

“Feedback doesn’t arrive in tidy survey results — it pours in from dozens of channels simultaneously,” said Nick Bell, CEO of Fanatics Collect. “Enterpret gives us the ability to make sense of that noise instantly, turning data into actionable insight.”

According to Varun Sharma, Co-Founder and CEO of Enterpret, “When companies miss what customers are telling them, the cost is massive. Enterpret turns raw feedback into unified, actionable intelligence — helping businesses build what customers actually want while protecting their bottom line.”

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