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For most organizations, compensation decisions happen in silos—guided by inconsistent data, outdated benchmarks, and reactive adjustments.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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Elastic (NYSE: ESTC), the Search AI Company, has introduced Streams, an agentic AI-powered solution that redefines how Site Reliability Engineers (SREs) interact with logs. The platform automatically parses and partitions raw log data, surfaces critical anomalies, and gives teams actionable insights—helping engineers move from symptom to solution in minutes.

For years, SREs have struggled with log overload—massive data volumes, unclear signals, and dashboards that show what’s broken but not why. Elastic’s new Streams solution directly tackles that problem. It uses AI to extract relevant fields, automatically identify significant events like out-of-memory errors or internal server failures, and deliver early warnings that reveal the root cause of system issues.

“Streams makes logs your most valuable asset,” said Ken Exner, Chief Product Officer at Elastic. “It automatically finds the signal in the noise, surfacing critical events from any log source. This gives SREs time back, allowing them to move from symptom to solution in minutes.”

Powered by the Elasticsearch platform, Streams introduces a complete overhaul of traditional log pipelines. It adapts dynamically to new log formats, replacing complex manual data engineering with AI-driven automation. The platform helps teams maintain full observability without incurring the high storage and management costs associated with traditional methods.

Key capabilities include:

• Log everything, effortlessly – AI-driven ingestion supports any log format from any source.

• Get answers, not just data – Automatically surfaces significant events for faster root-cause analysis.

• Cost-effective visibility – Reduces complexity and total ownership costs through intelligent data organization.

With Streams, Elastic is positioning logs not as a noisy byproduct, but as a rich source of operational intelligence—transforming them into a first-line tool for proactive system reliability.

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AI’s influence on public relations has been both transformative and taxing. While automation tools promise efficiency, the flood of digital channels and the rise of generative AI have only increased the workload for PR professionals. That’s where PRVIEW, launching this week at TechCrunch Disrupt 2025, steps in.

The new platform aims to take the grunt work out of PR operations—starting with the labor-intensive process of researching and managing awards and speaking opportunities. The company’s beta release, the PRVIEW MVP, introduces automation designed to give communication teams valuable time back for strategic storytelling and brand building.

Redefining PR Workflows with Automation

At its core, PRVIEW replaces spreadsheets, manual research, and disjointed databases with AI-powered automation. The system monitors thousands of awards and events across more than 80 industries, from technology and finance to healthcare and sustainability.

The platform automatically updates submission deadlines, tracks progress, and sends real-time alerts for new opportunities. Its built-in analytics track success rates, helping teams refine their approach to maximize visibility and win rates.

Key features include:

• Awards & Speaking Database: Access thousands of curated opportunities with automated deadline updates and customizable lists.

• Deadline Radar: Get real-time alerts to stay on top of shifting timelines.

• Client Workspaces: Centralized dashboards track every client submission from start to finish.

• Smart Analytics: Gain insights into win/loss patterns for data-driven optimization.

• Task Management: Automate workflows from the first draft to event day execution.

Addressing PR’s Productivity Problem

“AI, generative engine optimization, and the expanding media landscape are giving PR pros more work, not less,” said Lisa Ann Pinkerton, CEO and co-founder of PRVIEW. “The industry needs real tech tools that automate routine tasks. We started with events and awards because no one had solved this glaring problem—everyone’s building their own databases.”

Pinkerton, a PR veteran and founder of Technica Communications, brings over 16 years of experience helping tech startups scale through strategic communications. She co-founded PRVIEW with Julien Adler, a software engineer with nearly three decades of experience in enterprise and AI systems.

Adler added, “Every PR professional knows the pain of chasing changing deadlines across countless spreadsheets. Our MVP is practical automation—built to make one core workflow smarter and easier.”

Shaping the Future of AI in Communications

PRVIEW’s launch comes amid a surge in demand for AI-driven tools that tackle administrative pain points without replacing human creativity. While many PR software solutions focus on media monitoring or sentiment analysis, PRVIEW takes aim at a different challenge—the operational side of PR management.

The startup has been awarded a coveted spot in the TechCrunch Startup Battlefield 200, spotlighting its potential to redefine how PR teams manage time, data, and output.

Opening in beta this week, PRVIEW will select 50 Founding Beta Partners to receive lifetime discounted pricing and direct influence over product development. The company plans a full public rollout in 2026, positioning itself at the intersection of AI automation and professional communications.

For an industry long bogged down by administrative overload, PRVIEW could mark a shift from manual maintenance to measurable momentum—proof that the future of PR may finally be about doing less, and achieving more.

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