Users can now instruct AI to create tasks, update pipelines, and trigger project management workflows automatically inside Google Workspace.

Tooling Studio announced the launch of its Model Context Protocol (MCP) integration, a new capability that allows AI systems and large language models (LLMs) to directly interact with and execute actions inside Google Workspace through Tooling Studio’s existing integrations.

This feature launch marks a shift in how work gets done inside Google Workspace. Instead of limiting AI to generating text or suggestions, Tooling Studio enables it to take action. LLMs can now act as agents by creating, updating, and organizing tasks at the user’s request. Similarly, they can tap into the CRM integration to manage contacts and deal pipelines. Workflows can be triggered from natural language instructions, all within the same environment where teams already operate.

Tooling Studio has built its platform around a simple premise: work should happen where it already lives. Its Kanban Tasks and Sales CRM tools run natively inside Google Workspace and Gmail, allowing users to manage tasks, pipelines, and contacts without switching tabs or relying on external systems. With MCP integration, that environment becomes accessible to AI, turning it into a system that can be both used and operated programmatically.

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This addresses a clear limitation in most AI tools today. While they are capable of analyzing information and generating output, they remain disconnected from execution. They suggest actions but cannot carry them out. The new feature closes that gap by exposing its task and CRM infrastructure through MCP, allowing AI agents to operate on real, external systems instead of working in isolation. Planning and execution now happen within the same loop.

For example, users can ask AI to analyze meeting recording transcripts and automatically generate tasks based on what was discussed. This includes identifying action items, capturing key decisions, and assigning responsibilities, with outputs structured directly within the system. The feature removes the need for manual interpretation and task creation, ensuring that discussions are consistently translated into actionable follow-ups and reducing the risk of missed steps and aligning outcomes with execution immediately.

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The integration follows a native approach to Google Workspace. Rather than layering additional tools on top, Tooling Studio embeds functionality directly into Gmail and connects with Google Tasks and Contacts. MCP extends this model by making the workspace itself accessible to AI systems. Users continue working in a familiar interface while AI operates within the same environment, removing the need for additional platforms or complex integrations.

For teams, this enables a new category of workflows. AI can manage project boards in real time, update CRM records based on email activity, handle follow-ups, and maintain pipeline accuracy without manual intervention. This reduces fragmentation across tools and removes the operational overhead that typically comes with managing multiple systems.

Chativ’s AI chatbot for small business websites trains itself from your existing content and answers customer questions 24/7 — no coding required.

Chativ announced the general availability of its AI customer service platform built specifically for small business websites. The platform tackles a problem that affects virtually every small business owner: spending hours each week answering the same customer questions by email and phone, while inquiries arriving outside business hours go unanswered and leads are lost.

The Problem

Small business owners handle an average of five to ten repetitive customer inquiries per day — questions about pricing, availability, how a service works, and what happens next. At five minutes per response, that amounts to up to an hour of daily work on conversations that follow near-identical patterns. At night and on weekends, those same questions go unanswered entirely, and visitors move on to competitors who responded faster.
Enterprise AI customer service platforms — Salesforce, Zendesk, Intercom — address this problem at scale, but they are designed for support teams with dedicated IT resources and budgets exceeding $500 per month. For a small business owner who is also the customer service team, those platforms solve the wrong problem at the wrong price.
How Chativ Works

Chativ installs on any website in under ten minutes. Rather than requiring business owners to write scripts, configure conversation flows, or upload training documents, Chativ automatically crawls the website — reading every page the way a search engine would — and builds its AI knowledge base from the content already there. Pricing pages, service descriptions, FAQs, policies: the AI learns from what exists and begins answering visitor questions immediately.
When the AI encounters a question it cannot answer, it does not leave visitors at a dead end. Instead, it captures their name, email address, and question for human follow-up — converting an unanswerable inquiry into a warm lead rather than a lost visitor. For service businesses where a single new client may be worth hundreds or thousands of dollars, this automatic lead capture frequently delivers the platform’s highest return.
Built for Small Business Reality

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Chativ is designed around how small businesses actually operate: limited time, no IT support, and no appetite for platforms that require weeks of setup before they deliver value.
Pricing starts at $29 per month — a flat rate with no per-conversation fees, no seat charges, and no surprise overage bills. When website content changes, Chativ re-crawls automatically so the AI stays current without manual retraining.

“The best AI customer service for small business isn’t a scaled-down version of what enterprises use,” said Philipp, founder of Chativ. “It’s something designed from the ground up for a business where the owner handles customer service between client calls. Setup in minutes, not weeks — and maintenance that doesn’t require a developer.”

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Closing the Small Business AI Gap

AI-powered customer service has become standard for companies with dedicated support teams. According to Juniper Research, AI chatbots will handle 85% of all customer service interactions by 2027. Small businesses — the majority of businesses globally — have been largely excluded from this shift by cost and complexity barriers.

Chativ’s auto-crawl approach changes the calculation: any business with a reasonably complete website can deploy functional AI customer service without additional content creation, technical resources, or ongoing configuration work.

An independent digital publication launches with coverage of AI trust, data governance, and emerging technologies, open to expert contributors worldwide.

The way professionals, researchers, and businesses find and evaluate information is changing. Generative AI systems, conversational search engines, and AI-powered assistants are increasingly mediating how answers are surfaced — compressing the discovery process and replacing traditional search behavior with synthesized, citation-dependent responses. In this environment, the structural quality of published content has become as important as its visibility.

As AI systems increasingly mediate how information is discovered, the structural quality and credibility of published content matters more than ever”

— TrustNoww.com Editorial Team

TrustNoww.com, an independent digital publication, has launched to address this shift with research-backed analysis and expert-led editorial content across artificial intelligence, data governance, emerging technologies, and the global startup ecosystem. Initial coverage includes analysis on AI-driven discovery, data governance frameworks, and generative search trends.

The Shift Toward AI-Mediated Information Discovery
For much of the past two decades, content strategy was shaped by search engine optimization — the logic of keywords, backlinks, and page rankings. That model is being disrupted. Generative AI tools now interpret queries, synthesize information from multiple sources, and deliver structured answers directly to users, often without a click-through to the original source.
This transition has significant implications for how credible information gets surfaced and cited. AI systems tend to favor content that is factually grounded, clearly structured, and analytically substantive — characteristics that align more closely with traditional editorial standards than with high-volume, traffic-driven publishing. The publications and platforms that prioritize depth and accuracy are increasingly the ones whose content finds its way into AI-generated responses, analyst reports, and industry briefings.

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Content in the Age of Generative AI
The pattern is emerging across industries. In ecommerce, platforms such as Sixthshop — an emerging platform exploring AI-driven shopping visibility for ecommerce — are actively working to understand how AI systems discover, rank, and present product information to users. The same question is playing out in media, research, and professional services: as AI intermediaries multiply, what does it take for credible content to remain discoverable and citable?
TrustNoww.com focuses on that question from an editorial perspective. The publication is designed to produce content that holds up under scrutiny — original in perspective, accurate in its claims, and structured in a way that is useful to both human readers and the AI systems increasingly relied upon to summarize and recommend information.

Coverage Areas
TrustNoww.com publishes across three content verticals.
Its technology coverage focuses on artificial intelligence, cybersecurity, data infrastructure, and digital governance — areas where the gap between surface-level reporting and substantive analysis is most consequential for practitioners and policymakers alike.
Startup coverage aims to document the global entrepreneurial ecosystem with attention to founder narratives, product developments, funding activity, and market context. The platform is designed to give early-stage companies and emerging ecosystems a credible outlet that prioritizes accuracy over announcement.
Guest contributions form a third pillar. Independent researchers, technology journalists, and subject matter experts are invited to submit original editorial content — opinion grounded in expertise, analysis backed by evidence, and insight drawn from direct professional experience.

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Editorial Standards and Open Submissions
TrustNoww.com is currently open for submissions. Contributors may send press releases, research articles, expert opinion pieces, and startup announcements to editorial@trustnoww.com. All submissions are reviewed by the editorial team for originality, factual accuracy, and analytical depth prior to publication. Content that is primarily promotional in nature falls outside the platform’s editorial scope.
Contributors are encouraged to review existing published content on the platform before submitting to ensure alignment with its editorial standards and focus areas.

This integration transforms how teams work with agreements, moving from passive summarization to active execution like drafting agreements, routing them for review, and triggering downstream actions across legal, sales, procurement, HR, and beyond.

“Docusign and Anthropic are raising the bar for agreement actions,” said Allan Thygesen, CEO of Docusign. “What Docusign brings to agentic experiences like Cowork is deep context across all business agreements — the intelligent workflows that know how to act on that context and the trust, security, and scale enterprises expect.”

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“Cowork is designed to turn intent into action across complex, multi-step work,” said Matt Piccolella, Product Lead for Enterprise Apps at Anthropic. “Partnering with Docusign brings a leading system of record and execution for contracts into the Cowork experience, so people can confidently automate agreement workflows that matter most to their business.”

Here are just a few examples of what teams can accomplish:

• Use natural language to draft a contract from Docusign’s Master Service Agreement template, populate business details, and route it to Legal for review
• Instantly surface all customer contracts expiring in the next 90 days with a price increase clause, and take action directly from the results
• Review AI-suggested redlines on a service contract, align them to company policy, and trigger a vendor review workflow
• Request a summary report of all active contracts with a “data protection” clause and export it, formatted and ready to share
• Initiate a new customer onboarding workflow and get notified the moment identity verification is complete, without leaving Cowork

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Empowering teams where they already work
Modern enterprises shouldn’t have to context-switch or choose between their preferred AI tools and their most critical agreement workflows. With Docusign natively integrated into Cowork, teams can execute sophisticated contract workflows without interrupting how and where they work.

Built on enterprise trust
The Docusign connector, built on the Model Context Protocol (MCP), brings enterprise-grade security to every agreement workflow in Cowork. Businesses must be authenticated by the platform, access is permission-based, and agreement data remains private and under the customer’s control.

The Docusign MCP connector is available today in beta globally, in English only, through Anthropic’s Connectors Directory for Docusign customers.

A practical email security resource helping organizations prevent Business Email Compromise, strengthen email protection, and reduce cyber risk

Blueclone Networks, a trusted provider of managed IT and cybersecurity services for regulated industries, announced the launch of its new Email Security Best Practices guide. This new resource is part of Blueclone’s expanding email security services, designed to help U.S. businesses prevent phishing attacks, Business Email Compromise (BEC), and inbox-driven cyber threats before they disrupt operations or violate compliance requirements.

Email remains the most common entry point for cyberattacks, and regulated organizations in healthcare, finance, legal, and professional services face growing exposure to email cybersecurity risks. Blueclone’s new guide provides practical, actionable steps businesses can apply immediately to strengthen business email security and reduce the risk of costly breaches.

Email security is no longer just an IT concern. It’s a business risk, a compliance issue, and a trust issue”

— Milan Baria, CEO of Blueclone Networks

Why Email Security Is Now a Business-Critical Issue
Despite advances in technology, most successful breaches still begin with a single email. Modern attacks are highly targeted, often impersonating trusted vendors, executives, or compliance notices. Business Email Compromise schemes, credential theft, and ransomware delivered through email continue to rise across the U.S., putting organizations at risk of financial loss, downtime, and regulatory penalties.

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The new Blueclone resource distills more than two decades of real-world experience into a concise, easy-to-use guide that reinforces proven email security solutions and daily habits that protect inboxes in high-risk environments.

“Our new guide helps organizations understand real-world email threats and take practical steps to prevent Business Email Compromise and phishing attacks. Strong email protection starts with awareness, reinforced by the right security controls and services.” said Milan Baria, CEO of Blueclone Networks.

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What the Email Security Guide Covers
The Email Security Best Practices guide provides clear guidance for organizations evaluating or improving their email security services, including:
● How attackers exploit human behavior through phishing and BEC schemes
● Key warning signs employees must recognize before clicking links or opening attachments
● Everyday habits that strengthen frontline email protection
● Technical controls that modern email security companies recommend for SMBs
● How to build a security-aware culture that reduces human error
● A readiness checklist to identify gaps in current email protection services

Unlike generic awareness material, the guide focuses on practical steps that regulated organizations can apply immediately to reduce risk and improve compliance readiness.

Email Security Services Built for Regulated Industries
The guide supports Blueclone’s broader portfolio of email security solutions, which combine advanced filtering, secure email gateways, multi-factor authentication, phishing simulations, and managed monitoring. These email security services are designed to meet the needs of organizations subject to HIPAA, FINRA, PCI-DSS, and other regulatory frameworks.

By pairing education with technology, Blueclone helps businesses reduce exposure to Business Email Compromise, credential theft, and data leakage while maintaining productivity and usability.

Protiviti, a global consulting firm, announced it has earned the highly esteemed Microsoft Frontier Partner badge, a recognition that highlights the company’s leadership in delivering innovative AI solutions, focused on people, business, and transformation. The AI first recognition also honors Protiviti for how the organization has deployed and utilized AI driven solutions internally and to drive value and grow customer-facing Microsoft AI capabilities.

The badge recognizes AI partners that leverage a business-centric approach that combines AI agents and human ingenuity to scale innovation and impact. Earned by showcasing excellence across numerous Microsoft Cloud and AI disciplines, the badge is a new symbol of leadership and impact, recognizing Microsoft partners who are sparking innovative AI solutions that are driving meaningful ROI and setting the pace for what’s next on the AI front.

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“Our focus is to partner with our clients to enable them to harness the true potential of AI while delivering impactful ROI wrapped within a well-governed AI approach,” said Tom Andreesen, Global Microsoft Alliance Lead at Protiviti. “Achieving the Frontier Partner badge reflects our commitment to Microsoft, dedication to innovation and further enables our ability to help our clients realize tangible value through transformation.”

By securing the Frontier Partner badge, Protiviti distinguishes itself as a vanguard in AI-driven solutions, demonstrating deep technical, innovative AI, security and industry experience across Microsoft’s Cloud and AI offerings. This achievement highlights Protiviti’s ability to:

• Create and deploy cutting-edge AI agents within Microsoft 365 Copilot, Microsoft Foundry, and Microsoft 365 Dynamics solutions
• Scale next generation AI solutions tailored to clients’ strategic needs
• Drive measurable impact while generating value through innovation while managing security and compliance demands of the enterprise

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As a recognized Microsoft Frontier Partner, Protiviti will work closely with Microsoft to participate in, co-develop AI agentic offerings, frameworks, and solutions tailored to clients’ specific business challenges, and deliver state-of-the-art AI innovation.

As organizations face mounting costs and limitations with traditional SIEM and monitoring tools, Crest’s consulting service enables customers to modernize their technology stack by transitioning to Google Security Operations’ unified observability and security platform – cutting migration timelines by up to 60%.

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“Many enterprises want to move to a next-gen SIEM platform but are slowed down by the complexity of converting dashboards, alerts, and workflows from legacy systems,” said Neha Shah, Crest Data’s Co-founder & CTO. “Our consulting services eliminate that friction and drastically reduce the effort required to complete the transition.”

Crest Data Systems’ new offering provides a comprehensive range of services, including:

Integration Development Services

• Custom Integration Development: Building custom connectors and workflows to integrate Google Security Operations with existing IT ecosystems, such as SIEMs, SOARs, Agentic AI, and ticketing systems. Includes data ingestion, premium parsers, custom use case creation, custom deployment, custom playbooks.
• Migration Services: With the help of Automated Migration Engine, migrate existing SIEM and SOAR platforms to next-gen platforms such as Google Security Operations.

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Implementation Services

• Implementation and Deployment: Crest Data’s experienced consultant can help with seamless setup and configuration of Google Security Operations from scratch. Includes initial setup and configuration, custom integrations, and dashboard design.
• Optimization services: Ongoing support to optimize performance, reduce false positives, and enhance threat detection capabilities.
• Custom solutions: Includes custom dashboards and reports, scripting and automation, training and enablement, tailored security solutions, security monitoring.
• Ongoing Support and Maintenance: Health checks, proactive monitoring, technical support.

“Bringing Crest Data’s Migration Acceleration Consulting Services to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the migration solution on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Crest Data can now securely scale and support customers on their digital transformation journeys.”

By partnering with Crest Data, organizations can accelerate their integration and adoption of Google Security Operations, reduce deployment risks, and unlock the full potential of a truly unified cybersecurity platform. This new offering reinforces Crest Data’s commitment to providing cutting-edge cybersecurity solutions that empower businesses to stay ahead of threats.

METAsol Intelligence Engine Powers Real-Time Automated Trading

SOLNEX announced the prelaunch of its new platform designed to generate automated yield on the Solana network. The platform uses an advanced artificial intelligence system, METAsol, to analyze market data and execute trades in real-time.

Solana’s network produces over 15 terabytes of data daily, with trading volumes between $5 billion and $10 billion. SOLNEX was created to process this information, identifying financial opportunities as they emerge.

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We built METAsol to bring order to the chaos of on-chain data. SOLNEX is the gateway for everyone to access that intelligence, making high-performance yield generation simple, secure, and transparent.”

— Logan Pietroforte, CEO of METAsol

The platform is powered by the METAsol protocol, an autonomous on-chain intelligence protocol. METAsol operates through three core components:

– The Synapse Network scans every transaction, liquidity change, and wallet movement across Solana.
– The Cognitive Core uses AI to identify new trends and forecast capital movements.
– The Reflex Engine uses these insights to execute programmatic strategies like arbitrage and momentum trading.

This process generates what SOLNEX calls Quantum Yield, a consistent stream of profit derived from market intelligence.

Users access the system through SOLNEX Grid products. Each Grid is a self-contained yield system that runs for 365 days. Upon activation, users also receive a 100% value-back in $METASOL, the ecosystem’s native token.

“We built METAsol to bring order to the chaos of on-chain data,” said Logan Pietroforte, CEO of METAsol. “SOLNEX is the gateway for everyone to access that intelligence. It makes high-performance yield generation simple, secure, and transparent.”

The platform includes features for growth and security. The SOLNEX Accelerator allows users to apply 50% of the value of their active Grids to unlock higher-tier Grids. For security, the SolNex Vault and Reserve System provides users with Insurance Points for capital protection.

Additionally, 20% of every withdrawal is converted into $SOL and sent to a public on-chain reserve to ensure transparency.

SOLNEX began a 60-day prelaunch program on November 10, 2025. This period allows early users to activate Grids and prepare for the official public release. The prelaunch will culminate in Velocity 2026, the official global launch event hosted in Hong Kong and Macau.

By 2027, the company plans for METAsol to evolve into a Quantum Yield-as-a-Service infrastructure. This will allow other protocols and DAOs to use its intelligence engine.

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Shift Technology, the leading AI platform for insurance, has been named to Sønr’s 2025 Beyond Boundaries Scale50. The leading market intelligence firm’s report recognizes established insurtechs that are delivering impact and driving transformation across the insurance industry.

Sønr describes the companies included in the Scale50 as a group that collectively demonstrates that the age of experimentation is over. As such, the emphasis has moved to execution, and scale – delivering efficiencies, growth and measurable outcomes. The report further explains that the trends impacting the industry help to illustrate how organizations such as Shift are operationalizing innovation and, in doing so, reshaping the foundations of modern insurance.

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As Matt Connolly, CEO, Sønr explains: “Based on dozens of exec interviews, proprietary data analysis and an expert judging panel of insurance leaders, Beyond Boundaries provides a clear view of the key trends impacting insurance and the leading tech providers addressing them.

Two of the most significant trends highlighted by the report focus on how additional value is being sought from underwriting and claims processes. These include how active and continuous underwriting can be used to improve portfolio performance, and how claims automation, including straight-through-processing (STP) can drive improvements in speed, cost efficiency, and customer experience. Shift is addressing these trends directly through its Shift Claims, Shift Claims Fraud,  Shift Subrogation and Shift Underwriting Risk offerings. These solutions apply predictive, generative, and agentic AI to the underwriting and claims processes to deliver greater accuracy, efficiency, and customer satisfaction.

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“The insurance industry is evolving, and Shift is proud to be recognized among the insurtechs helping to drive that change,” said Jeremy Jawish, CEO and co-founder, Shift Technology. “Our AI solutions help improve decisioning, reduce fraud and streamline claims, delivering measurable benefits for both insurers and policyholders.”

Powered by NVIDIA Blackwell GPUs with a Rubin-ready roadmap, the Houston site will support advanced workloads for AI deployment, enabling organizations to move seamlessly from experimentation to production-scale intelligence.

Defining AIaaS

Iozera’s model represents the next evolution in compute: AI-as-a-Service (AIaaS), where infrastructure, intelligence, and human expertise operate as one system.

Each Iozera data center functions as an AI factory, pairing high-density GPU clusters with a dedicated, trained human workforce that supervises, labels, and refines every model in production. This “humans-in-the-loop” architecture is rare in modern AI infrastructure and ensures every deployment learns, adapts, and aligns in real time.

Unlike traditional cloud providers that rent out generic capacity, Iozera delivers fully managed AI pipelines, handling the development, deployment, and fine-tuning of models for enterprises, governments, and corporations. By operating within major population centers, Iozera executes these workloads closer to client data sources, minimizing latency, maximizing control, and translating compute directly into enterprise value.

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In the AI era, compute isn’t leased; it’s orchestrated.

Technology and Partnerships

The facility will employ ZutaCore HyperCool® direct-to-chip, waterless liquid-cooling technology, delivering sustainable, ultra-dense performance at 140 kW per rack.

Schneider Electric will provide technical expertise in value engineering and system optimization, supporting Iozera’s AI factory design through improvements in efficiency, energy architecture, redundancy, and scalability.

Pegatron (Taiwan) will serve as Iozera’s primary source for GPU servers and support hardware integration, reinforcing the company’s ability to deploy high-performance, energy-optimized data centers globally.

Together, these partnerships strengthen Iozera’s mission to deliver GPU-dense, sustainable infrastructure built for modern AI workloads.

Why Houston

Anchored by the Texas Medical Center (TMC), the world’s largest medical complex with more than 60 member institutions including MD Anderson, Texas Children’s, and Houston Methodist, Houston concentrates exceptional clinical data, research expertise, and decision-making capability.

It is rapidly emerging as the AI capital of the U.S., with over $3 billion in new technology investment announced in the past year, including commitments from Apple, NVIDIA, and Foxconn.

This foundation aligns with Kriss.ai, Iozera’s healthcare LLM platform deployed in hospitals and clinics worldwide. Kriss.ai is evolving into the Doctor Digital Twin LLM, a clinician-supervised model that captures medical reasoning, empathy, and communication style—advancing AI’s role in human-centered care and clinical trust.

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Ecosystem and Portfolio

Iozera’s AIaaS backbone powers a portfolio of ventures extending from healthcare to digital engagement, including Kriss.ai, Chatli.ai, AI Mate, and the $AIMAtoken (Ethereum-based). In collaboration with MCV Group, one of Southeast Asia’s largest creator platforms, Iozera is developing AI Mate and Kickit.ai—AI-driven companion and creator-monetization platforms that merge emotional intelligence with scalable, data-driven engagement. Together, these ventures demonstrate how Iozera transforms compute into an ecosystem of commercial and cultural intelligence—bridging physical infrastructure and human experience.

Strategic Significance

As the AI industry shifts from model development to scaled deployment, Iozera’s retrofit strategy meets the moment. With new data-center builds often exceeding $10–12 million per megawatt, Iozera’s approach of acquiring and upgrading operational facilities delivers AI capacity at a fraction of the cost—proving that efficiency, not scale, will define the next era of infrastructure.

The Houston site, currently operating under a short-term leaseback with Men’s Wearhouse (Tailored Brands), underscores this capital-efficient model — repurposing active infrastructure rather than waiting years for new builds. By turning underutilized assets into AI factories, Iozera is creating a faster, more sustainable path to intelligence at scale.