Latest news with #SalesforceCRM
Business Wire
4 days ago
- Business
- Business Wire
Monte Carlo First Data + AI Observability Company to Launch Native Integrations with Salesforce to Ensure Reliable, AI-Ready Customer Data
SAN FRANCISCO--(BUSINESS WIRE)-- Monte Carlo, the leader in data + AI observability, today unveiled its new suite of native integrations with Salesforce, empowering teams to ensure trust in the data that powers critical business workflows and AI applications. With this release, Monte Carlo becomes the first data + AI observability platform to provide end-to-end monitoring for Salesforce CRM and Salesforce Data Cloud —two of the most business critical and data-rich systems in the enterprise. Monte Carlo's integration with Salesforce Data Cloud provides AI-ready data to Agentforce —Salesforce's AI agent platform—that allows users to build, customize, and deploy autonomous AI agents to support employees and customers. Early access users are already identifying business-critical use cases for this new integration: 'Monte Carlo's Salesforce integration will unlock a whole new level of confidence in our CRM data. We're excited to catch issues—like missing fields or broken syncs—before they hit Snowflake or affect reporting. Moreover, as we are in a process of deprecating formula fields, we will use this feature to ensure reliability across all pipelines. We'll be able to stop bad data before it affects our Go-To-Market operations, improving executive trust in our insights. Best of all, it will save our OPs teams hours and promoting data quality as everyone's responsibility.' — Pedro Sá Martins, Head of Engineering at Outsystems Keep reading to learn more about what Monte Carlo's new native Salesforce integration can do—and how you can use it to unlock more value from your Salesforce data. Bringing Trust to Salesforce Data Salesforce data drives business-critical decisions across go-to-market teams. Yet data quality issues like duplicates, nulls, and invalid formats often go undetected until it's too late—resulting in missed revenue, wasted budget, and eroded customer trust. With Monte Carlo's new Salesforce integrations, teams can now monitor the reliability of CRM and Data Cloud data directly within the Salesforce environment, making it easy for both data teams and business users to detect, triage, and resolve data issues without having to wait until it lands in the warehouse. The integration delivers powerful benefits across the modern enterprise: Data, sales, and revenue operations teams can work together to quickly trace and resolve issues before they impact downstream systems Marketing teams can validate their 360-degree customer profiles, reducing wasted spend on misdirected campaigns AI teams can create powerful applications knowing the underlying data is reliable Business users can leverage Agentforce to automate their day-to-day workflow with the same trustworthy data 'Salesforce is one of the most mission-critical systems in the enterprise, but when you think about just how many individuals it touches in a given organization, it should come as no surprise that it's vulnerable to bad data,' said Lior Gavish, co-founder and CTO of Monte Carlo. 'With this integration, we're helping customers ensure the accuracy of this critical data source, where the potential issues can often be the most damaging and hardest to detect.' Native, Scalable, and Easy to Use Key features of the new integration include the ability to: Catch data quality issues early, like nulls, duplicates, and missing values—before they impact dashboards or decision-making Ensure data consistency across systems, by monitoring syncs between Salesforce and your warehouse or lakehouse Prevent broken reports and workflows, with timely alerts for schema changes in Salesforce CRM and Data Cloud Apply custom business logic checks to spot the issues that matter most to your team About Monte Carlo Monte Carlo created the data + AI observability category to help enterprises drive mission-critical business initiatives with trusted data + AI. Companies like NASDAQ, Honeywell, Roche, and others rely on Monte Carlo to detect and resolve data issues at scale. Named a 'New Relic for data' by Forbes, Monte Carlo is the top-rated observability solution on G2, Gartner Peer Reviews, and more. To learn more or request a personalized demo, visit:
Forbes
25-07-2025
- Business
- Forbes
How Virtual Testing Environments Are Unlocking Enterprise AI Agent Adoption
Olga Megorskaya is Founder & CEO of Toloka AI, a high-quality data partner for all stages of AI development. AI agents are having a moment. From customer service automation to complex workflow orchestration, these systems promise to revolutionize how enterprises operate. Yet despite the hype, actual deployment remains frustratingly limited. The reason? Safety risks are simply too high for most organizations to stomach. Unlike traditional AI models that respond to prompts in isolation, AI agents perform sequences of actions across multiple systems—accessing databases, modifying files, interacting with APIs and making decisions that cascade through entire business processes. When an agent malfunctions in a production environment, the potential consequences include operational disruptions, security breaches, compliance violations and reputational damage. The solution isn't to restrict AI agents—it's to test them properly before deployment. Enter agentic environments: realistic virtual spaces that mirror your actual business operations, allowing you to stress-test agents without risking your real systems. The Enterprise Safety Paradox Here's the challenge enterprise leaders face: AI agents must interact with real tools and data to be effective, but testing them in production environments is unacceptably risky. A customer service agent who accidentally exposes PII, a workflow automation that corrupts financial records or a research assistant who inadvertently violates compliance protocols can cause immediate, tangible damage. Traditional testing approaches fall short because they can't capture the complexity of real enterprise environments. Sandbox testing with dummy data doesn't reveal how agents behave when faced with the messy realities of actual business operations, like incomplete datasets, legacy system quirks or the subtle contextual cues that guide human decision making. This creates a deployment deadlock. Organizations need to see agents perform in realistic conditions to build confidence, but they can't afford the risks of letting unproven agents loose on production systems. What Are Agentic Environments? Agentic environments solve this paradox by creating high-fidelity digital twins of real business operations. These aren't simple testing sandboxes; they're comprehensive virtual organizations, complete with realistic data, workflows and system integrations. Leading organizations are now implementing sophisticated virtual companies that serve as testing grounds for enterprise AI agents. These environments typically include fully functional instances of Google Workspace, Confluence, Salesforce CRM, Jira, GitHub and Slack, along with virtual employees, department structures and ongoing projects. These environments can be customized to match specific industry requirements or integrate proprietary tools, allowing them to safely validate AI agent performance before real-world deployment. The value of this approach has become clear as companies are using these virtual environments to test agents before launch. Realistic environments reveal critical vulnerabilities that would be invisible in traditional testing scenarios—issues that could compromise data security or cause system failures in production. By identifying and addressing these problems in virtual environments, organizations prevent what could be costly deployment failures. To build these virtual environments, data companies are employing real human experts to generate realistic scenarios that reflect the nuanced decision making and complex interactions agents will encounter in actual business operations. The key to success is realism. Rather than testing agents with sanitized, artificial scenarios, these environments present the complexity agents will encounter in production: conflicting information across systems, incomplete data sets, varying user permissions and the kind of edge cases that only emerge in real-world operations. Beyond Basic Testing: Agent-Oriented Benchmarks This focus on realistic testing has driven the development of sophisticated agent-oriented benchmarks. SWE-bench tests coding agents in structured development environments, while TAU-bench evaluates agents in retail and airline scenarios where they must navigate complex, domain-specific rules while interacting with both humans and APIs over extended periods. What makes these benchmarks valuable for enterprise deployment isn't just their technical rigor—it's their emphasis on real-world conditions. Human insight remains essential for creating benchmarks that address customers' unique operational requirements and designing realistic scenarios that reflect actual business complexities. These benchmarks test whether agents can maintain performance across millions of interactions, follow nuanced compliance requirements and handle the kind of ambiguous situations that human workers navigate daily. Enterprise teams are increasingly requesting custom versions of these benchmarks tailored to their specific industries and use cases. The demand signals that disruptive technologies require brand-new testing approaches. Security Implications From a security perspective, agentic environments are essential for identifying potential vulnerabilities before deployment. Agents that can modify files, access databases and interact with external APIs represent significant attack surfaces. Testing in isolated environments allows security teams to observe agent behavior under various conditions, including adversarial scenarios designed to exploit potential weaknesses. These environments also enable red team exercises where security professionals can attempt to manipulate agents into performing unauthorized actions or accessing restricted data. Better to discover these vulnerabilities in a controlled setting than after deployment. The Path Forward Using realistic testing environments enables organizations to build the confidence needed to deploy agents safely and effectively. Companies that establish robust agentic environments now will be positioned to take advantage of future advances while maintaining the safety and reliability their operations demand. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
20-05-2025
- Business
- Yahoo
Klarna's revenue per employee soars to nearly $1M thanks to AI efficiency push
Last year, Klarna announced a significant initiative to leverage its internally developed AI systems, powered by OpenAI, across its operations. This wasn't empty talk for the buy now, pay later giant. The company not only ended its pricey contract with Salesforce CRM, but also curtailed its hiring efforts, allowing AI to do some of the work previously performed by humans. Klarna announced Monday its reliance on AI is driving significant efficiency for the company, and it's on track to reach $1 million in revenue per employee, up from $575,000 per worker a year prior, according to the company's latest financials. While the company claims most functions became more efficient thanks to its AI efforts, the largest financial impact was the significant reduction in customer service costs. Klarna said last year it planned to replace nearly 700 full-time customer service contractors with AI chatbots. However, last week, the company said customers would again have the option to speak with a human agent. In March, the Swedish company filed paperwork for its highly anticipated U.S. IPO. Klarna postponed those plans last month due to the volatility in the stock market triggered by President Trump's tariff announcement. Despite a 13% revenue increase to $701 million in Q1 2025, the company provided no timeline for resuming its IPO plans. This article originally appeared on TechCrunch at
Copts Today
30-03-2025
- Business
- Copts Today
Revolutionize Customer Management with Salesforce CRM
Business operations have changed dramatically since the introduction of Customer Relationship Management systems because they produce streamlined processes and satisfied customers. The Salesforce CRM technology exists as a premier CRM model that delivers automated AI tools alongside smooth connection capabilities alongside sophisticated analytics capabilities. Corporate organizations achieve enhanced customer engagement while optimizing processes and generating increased revenue through their utilization of Salesforce CRM software. Moreover customers receive personalized interactions from companies through centralized data that enables intelligent automation which leads to better retention rates and customer loyalty. The article analyzes Salesforce consulting along with its essential features and establishes necessary criteria for businesses to attain long-term growth. A company seeking competitive advantage must have an effective CRM system. Companies using Salesforce consultants bring together their sales marketing and customer support operations which enables them to shift attention toward business growth instead of monotonous work. Real-time insights and centralized data functions coupled with smooth team interaction deliver enhanced customer experiences on the platform. Comprehensive AI analytics systems provide businesses with automated processes in addition to personalized client interactions and enhanced sales predictive modeling capabilities. The automation of workflows minimizes human errors while speeding up business deal processing together with enhancing overall customer relationship quality. Through sales automation Salesforce CRM facilitates the effective care of all potential leads. The system simplifies outcomes by removing repetitive tasks which enhances sales representative speeds when sealing deals. When sales activities follow a structured pipeline business leaders gain visibility into resources that leads to better conversion rates. The AI system Einstein Analytics from Salesforce extracts profound customer analytics to identify market trends while predicting what customers will require. The analysis of previous data enables business organizations to make sales predictions that help them adjust their strategies towards valuable leads and maximize demand forecsting accuracy With Salesforce CRM customers can create segments for automated marketing while obtaining real-time tracking capabilities. The system enables detailed evaluation of customer interactions which helps marketers create better strategies to increase ROI values. Personalized content distribution together with social media tools establishes better customer connectivity. The automated ticketing systems in Salesforce CRM automate customer support processes which enable technicians to monitor case resolution times alongside support response times. The support teams gain access to complete details of customer interactions which provides them with tools for delivering efficient personalized support. Salesforce implementation companies connects through seamless interfaces with multiple third-party applications such as ERP systems and email platforms together with e-commerce solutions. The integrated system creates a unified perspective of customer contacts through better interdepartmental work coordination. Mobile accessibility allows every sales professional including customer support personnel together with executives to access mission-critical data no matter where they are located. Real-time updates of leads together with customer interactions and market trends enable productive work for mobile teams. Users can build personalized dashboards through the system which enables them to track performance data as well as follow sales pipelines along with customer interactions. The ability to visualize specific data according to roles enables teams to take well-informed decisions and enhance their strategy performance. Benefits of Using Salesforce CRM Increased Sales Efficiency: Automated sales workflows speed up deal closures, driving higher revenue. Enhanced Productivity: Workflow automation reduces manual tasks, enabling teams to focus on strategic initiatives. Improved Customer Experience: AI-driven insights and personalized interactions boost customer satisfaction. Data-Driven Decision Making: Real-time analytics provide actionable insights to refine business strategies. Scalability: Salesforce CRM adapts to businesses of all sizes, supporting evolving needs and market conditions. How to Implement Salesforce CRM for Maximum Efficiency A well-structured certified Salesforce partner implementation strategy is essential for businesses to fully leverage its capabilities and drive operational efficiency. The process begins with defining clear business objectives and identifying key pain points that the CRM can address, ensuring alignment with company goals. By leveraging Salesforces low-code/no-code customization, businesses can tailor workflows, data fields, dashboards, and reports to match their specific requirements, improving usability and boosting team productivity. This customization ensures that employees can navigate the system with ease and utilize its features effectively. Another critical aspect of implementation is seamless data migration and integration with existing tools such as Microsoft 365, Slack, and various third-party applications. This enables businesses to consolidate their data, maintain continuity, and eliminate silos, fostering improved collaboration across departments. A smooth transition minimizes disruptions and ensures that all necessary historical data and customer information remain intact. Challenges in Adopting Salesforce CRM - Initial Learning Curve When implementing Salesforce consulting service, employees often face an initial learning curve as they adapt to new functionalities and workflows. Since the CRM may involve features, tools, and processes that are different from previous systems, training becomes essential to ensure employees understand how to effectively use the platform. Proper training sessions, hands-on practice, and clear documentation are crucial to helping employees feel confident with the system. Overcoming this learning curve ensures that teams can maximize the CRMs potential, leading to better user adoption and long-term success. - Integration Complexity Integrating Salesforce CRM with existing business tools, such as accounting software, communication platforms (like Slack), and productivity applications (like Microsoft 365), can be complex and requires strategic planning. Ensuring that these systems communicate seamlessly with Salesforce without causing data discrepancies or workflow interruptions is key to successful integration. Businesses must take into account the compatibility of existing software, potential customizations, and the technical expertise required to connect these tools. Careful planning and testing are necessary to avoid integration issues that could disrupt daily operations. - Data Migration Data migration is one of the most critical aspects of Salesforce consulting companies implementation. For a smooth transition, businesses must ensure that data from legacy systems is transferred accurately and consistently into Salesforce. This requires careful mapping of data fields, addressing any data quality issues, and ensuring that the information remains intact during the transfer process. A well-structured data migration plan, including backup strategies and testing phases, helps to prevent data loss, inaccuracies, or discrepancies, ensuring a seamless implementation and continued access to vital business information within the new CRM system. Future Trends in Salesforce CRM Salesforce CRM continues to evolve with advancements in AI, automation, and predictive analytics. Businesses increasingly rely on data-driven insights to enhance customer interactions and optimize sales strategies. AI-powered automation will further streamline workflows, allowing businesses to proactively engage with customers and improve retention rates. The integration of CRM with IoT technology will provide real-time data from connected devices, improving service efficiency. AI chatbots and voice-enabled assistants will refine customer support interactions, enabling more intuitive self-service options. Additionally, the expansion of low-code/no-code development tools will allow businesses to customize their CRM without extensive IT resources, ensuring flexibility and efficiency. FAQs About Salesforce CRM What is Salesforce CRM? Salesforce CRM is a cloud-based customer relationship management platform that helps businesses manage sales, marketing, and customer service through automation, AI-driven insights, and seamless integrations. Is Salesforce CRM suitable for small businesses? Yes, Salesforce CRM offers scalable solutions tailored to businesses of all sizes, from startups to large enterprises. What industries use Salesforce CRM? Industries such as healthcare, finance, retail, manufacturing, and technology utilize Salesforce CRM for customer engagement and sales automation. How does Salesforce CRM integrate with other tools? Salesforce integrates with Microsoft Office 365, Slack, Google Workspace, and various third-party applications using pre-built connectors and APIs. What are the key benefits of Salesforce CRM? Its benefits include increased sales efficiency, improved customer engagement, enhanced data-driven decision-making, and streamlined business operations. Conclusion Salesforce CRM is indeed a game-changer for businesses aiming to improve their customer management processes and foster sustainable growth. One of the standout features of Salesforce is its AI-driven analytics, which empowers businesses to gather actionable insights from customer data. By leveraging artificial intelligence, Salesforce can predict customer behavior, identify trends, and provide recommendations that help businesses make smarter decisions in real time. This predictive capability not only enhances decision-making but also allows businesses to personalize customer interactions, ultimately driving better engagement and satisfaction. In addition to its AI-powered analytics, Salesforce offers extensive automation features that streamline operations and reduce the need for manual intervention. For instance, businesses can automate routine tasks such as lead tracking, follow-up emails, and data entry, freeing up time for teams to focus on high-value activities like building customer relationships and closing sales. This automation increases efficiency, reduces errors, and ensures that business processes are consistent and scalable. Article by Salesforce CRM Partner Solutions Metrix
Gulf Business
27-03-2025
- Business
- Gulf Business
5 things to know about Dubai's newest property firm, BT Properties
Image credit: BT Properties Dubai/Website BT Properties, the international arm of Pakistan's real estate giant Bahria Town, has officially entered the UAE market with the launch of its Dubai South head office in January 2025. The move marks a major milestone in the developer's global expansion plan and brings with it over three decades of real estate experience from Asia's property sector. Based in Dubai South – a 145 square kilometre master-planned city near Al Maktoum International Airport – BT Properties is betting big on one of the emirate's most promising growth corridors. Its initial focus is on developing a large-scale, mixed-use community that includes villas, townhouses and apartments. Here are five things to know about Dubai's newest real estate player: Strategic location in Dubai South BT Properties has chosen Dubai South as its home base – a rapidly emerging hub designed to accommodate one million residents. Located adjacent to the Expo City legacy site and the future hub of Dubai's logistics and aviation activity, Dubai South offers strong infrastructure, connectivity and future growth prospects. The location also aligns with Dubai's 2040 Urban Master Plan. Ambitious master-planned community The company's flagship development will be a gated master community in the Golf District of Dubai South. Spread across hundreds of acres, the project will include homes, schools, medical facilities, retail, mosques and entertainment zones. The design aims to create a self-contained community with a blend of greenery, luxury and convenience. Tech-led approach to real estate BT Properties has embraced technology across its operations, using enterprise platforms such as Salesforce CRM and Oracle Fusion to ensure seamless customer engagement and internal efficiency. The company has also said it will incorporate sustainable design principles and smart infrastructure into its residential offerings – in line with Dubai's green building regulations. Driving investment and job creation BT Properties expects its Dubai entry to stimulate the local economy. Its developments will create jobs across construction, sales, facilities and community management. With the Dubai property market witnessing over Dhs430bn in transactions in 2023, the company is positioning itself to tap into both investor and end-user demand for high-quality, affordable homes. Backed by Bahria Town's legacy BT Properties is backed by the reputation and resources of Bahria Town – Pakistan's largest private real estate developer. Bahria Town has delivered master-planned cities across Islamabad, Lahore and Karachi, known for their wide roads, landscaped parks, and integrated amenities. That track record is now being exported to the UAE, as BT Properties aims to build trust and recognition in Dubai's competitive market.
