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AI Agents as Tools of Trust

AI Agents as Tools of Trust

Salesforce Report Highlights AI Agents as Tools to Rebuild Consumer Trust For businesses of any size, the to-do list never ends. Monitoring customers, understanding their needs, and delivering products and services that align with their expectations are critical. Salesforce’s latest research, however, points to a troubling trend: consumer trust is at an all-time low. Yet, the report, State of the AI Connected Customer, also suggests that AIβ€”particularly agentic AIβ€”could help reverse this decline. Trust in Decline The key finding of the Salesforce report is stark: consumer trust in companies has taken a significant hit. Among 15,015 surveyed consumers, 72% say they trust companies less today than they did a year ago. Compounding this is the rapid advancement of AI; 60% of respondents believe that the rise of AI increases the importance of businesses being trustworthy. One major culprit behind eroding trust is the perceived mishandling of customer data. A staggering 65% of respondents feel companies are careless with data, adding to the skepticism. While high prices remain the top reason customers abandon brands, 43% pointed to poor customer service as a major deterrent. Can AI Agents Fill the Gap? The Salesforce report suggests that AI agentsβ€”when deployed transparentlyβ€”could address many of the factors driving distrust and disengagement. Younger consumers, particularly Gen Z and millennials, appear more open to interacting with AI agents. Notable insights from the research include: However, trust is non-negotiable. Transparency is a critical factor for AI adoption: As Michael Affronti, SVP and General Manager of Salesforce Commerce Cloud, explains: β€œAI agents can help brands deliver consistent, personalized experiences for shoppers across every channel β€” deepening customer loyalty and ultimately driving more sales.” Building Trust Through Transparency The research underscores the potential for AI to transform customer interactions, but it also highlights the challenges. Transparency and accountability are essential for AI systems to inspire confidence and loyalty. Salesforce’s AI solutions are designed to prioritize transparency and foster reliable consumer experiences. Features such as clear agent identification and robust escalation paths are steps in the right direction. However, companies must double down on governance frameworks and safeguards to ensure AI agents handle data responsibly. Final Thoughts While the idea of using AI to rebuild consumer trust is promising, it’s not without its challenges. Establishing trust in AI itself remains a work in progress. Consumers expect companies to prioritize not only innovation but also ethics, security, and accountability. The Salesforce report demonstrates that younger consumers are already embracing AI as a way to address today’s service expectations. For Salesforce and other companies leveraging agentic AI, the key to success will lie in balancing cutting-edge technology with meaningful protections for customer data and experiences. The future of AI-driven customer engagement isn’t just about meeting expectationsβ€”it’s about exceeding them in a way that inspires confidence and loyalty. With the right approach, AI agents could be a vital tool for restoring consumer trust in an era where skepticism runs high. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Commerce Cloud and Agentic AI

Gen X and Millennials Lead in Embracing Agentic AI

Gen X and Millennials Lead in Embracing Agentic AI: Salesforce Report Generation X and millennials are showing greater openness to adopting agentic artificial intelligence (AI), according to Salesforce’s State of the AI Connected Customer report. Agentic AI refers to autonomous agents capable of independently making decisions and performing tasks, learning and adapting from experiences without direct human supervision. This technology is making significant inroads across industries, with applications ranging from personalized recommendations and inventory management in retail to supply chain optimization in logistics. It also finds use in healthcare, finance, telecom, IT, and customer service. Generational Differences in AI Adoption The report highlights that millennials (57%) and Gen Xers (58%) in India are more inclined to embrace AI agents for faster and more proactive customer service compared to Gen Z (51%) and Baby Boomers (42%). These autonomous agents enhance customer experiences by delivering personalized and relevant content, which resonates more with the tech-savvy Gen X and millennial demographics. Who Are These Generations? Building Trust in the AI Era The report reveals a sharp decline in consumer trust, with trust levels at their lowest in eight years. Over half of the respondents feel companies are less trustworthy than a year ago and believe businesses mishandle customer data. Arun Parameswaran, SVP & Managing Director, Sales and Distribution at Salesforce India, emphasized the critical role of trust in AI strategies: “As we enter a new era of intelligent customer engagement, brands that prioritize trust in their AI strategies will be best positioned to deliver impactful, lasting connections.” Transparency, according to the report, is key to restoring consumer confidence in the AI-driven era. Companies that adopt responsible AI practices, particularly in the design and deployment of agentic AI, can foster stronger customer relationships. Global Perspective The findings are based on a survey of 15,015 consumers across India, Australia, Brazil, Canada, Denmark, Finland, France, Germany, Ireland, Italy, Japan, Netherlands, Norway, Singapore, Spain, Sweden, the UK, and the US. As businesses increasingly integrate agentic AI into their operations, understanding generational attitudes and prioritizing ethical AI practices will be essential for fostering trust and delivering exceptional customer experiences. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Enterprises are Adopting AI-powered Automation Platforms

Enterprises are Adopting AI-powered Automation Platforms

The rapid pace of AI technological advancement is placing immense pressure on teams, often leading to disagreements due to the unrealistic expectations businesses have for the speed and agility of new technology implementation. A staggering 88% of IT professionals report that they are unable to keep up with the flood of AI-related requests within their organizations. Executives from UiPath, Salesforce, ServiceNow, and ManageEngine offer insights into how enterprises can navigate these challenges. Leading enterprises are adopting AI-powered automation platforms that understand, automate, and manage end-to-end processes. These platforms integrate seamlessly with existing enterprise technologies, using AI to reduce friction, eliminate inefficiencies, and enable teams to achieve business goals faster, with greater accuracy and efficiency. This year’s innovation drivers include tools such as Intelligent Document Processing, Communications Mining, Process and Task Mining, and Automated Testing. β€œAutomation is the best path to deliver on AI’s potential, seamlessly integrating intelligence into daily operations, automating backend processes, upskilling employees, and revolutionizing industries,” says Mark Gibbs, EMEA President, UiPath. Jessica Constantinidis, Innovation Officer EMEA at ServiceNow, explains, β€œIntelligent Automation blends Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) with well-defined processes to automate decision-making outcomes.” β€œHyperautomation provides a business-driven, disciplined approach that enterprises can use to make informed decisions quickly by analyzing process and data feedback within the organization,” adds Constantinidis. Thierry Nicault, AVP and General Manager at Salesforce Middle East, emphasizes that while companies are eager to embrace AI, the pace of change often leads to confusion and stifles innovation. He notes, β€œBy deploying AI and Hyperintelligent Automation tools, organizations can enhance productivity, visibility, and operational transformation.” Automation is driving growth and innovation across industries. AI-powered tools are simplifying processes, improving business revenues, and contributing to economic diversification. Ramprakash Ramamoorthy, Director of AI Research at ManageEngine, highlights how Hyperintelligent Automation, powered by AI, uses tools like Natural Language Processing (NLP) and Intelligent Document Processing to detect anomalies, forecast business trends, and empower decision-making. The IT Pushback Despite enthusiasm for AI, IT professionals are raising concerns. A Salesforce survey revealed that 88% of IT professionals feel overwhelmed by the influx of AI-related requests, with many citing resource constraints, data security concerns, and data quality issues. Business stakeholders often have unrealistic expectations about how quickly new technologies can be implemented, creating friction. According to Constantinidis of ServiceNow, many organizations lack transparency across their business units, making it difficult to fully understand their processes. As a result, automating processes becomes challenging. She adds, β€œBefore full hyperautomation is possible, issues like data validation, classification, and privacy must be prioritized.” Automation platforms need accurate data, and governance is crucial in managing what data is used for AI models. β€œYou need AI skills to teach and feed the data, and you also need a data specialist to clean up your data lake,” Constantinidis explains. Gibbs from UiPath stresses that automation must be designed in collaboration with the business users who understand the processes and systems. Once deployed, a feedback loop ensures continuous improvement and refinement of automated workflows. Ramamoorthy from ManageEngine notes that adopting Hyperintelligent Automation alongside existing workflows poses challenges. Enterprises must evaluate their technology stack, considering the costs, skills required, and the potential benefits. Strategic Integration of AI and Automation To successfully implement Hyperintelligent Automation tools, enterprises need a blend of IT and business skills. Mark Gibbs of UiPath points out, β€œThese skills ensure organizations can effectively implement, manage, and optimize hyperintelligent technologies, aligning them with organizational goals.” Salesforce’s Nicault adds, β€œEnterprises must empower both IT and business teams to embrace AI, fostering innovation while ensuring the technology delivers real value.” Business skills are equally crucial, including strategic planning, process analysis, and change management. Ramamoorthy emphasizes that these competencies help identify automation opportunities and align them with business goals. According to Bassel Khachfeh, Digital Solutions Manager at Omnix, automation must be implemented with a focus on regulatory and compliance needs specific to the industry. This approach ensures the technology supports future growth and innovation. Transforming Customer Experiences and Business Operations As automation evolves, it’s transforming not only back-end processes but also customer experiences and decision-making at every level. Constantinidis from ServiceNow explains that hyperintelligence enables enterprises to predict outcomes and avert crises by trusting AI’s data accuracy. Gibbs from UiPath adds that automation allows enterprises to unlock untapped opportunities, speeding up the transformation of manual processes and enhancing business efficiency. AI is already making an impact in areas like supply chain management, regulatory compliance, and customer-facing processes. Ramamoorthy of ManageEngine notes that AI-powered NLP is revolutionizing enterprise chatbots and document processing, enabling businesses to automate complex workflows like invoice handling and sentiment analysis. Khachfeh from Omnix highlights how Cognitive Automation platforms elevate RPA by integrating AI-driven capabilities, such as NLP and Optical Character Recognition (OCR), to further streamline operations. Looking Ahead Hyperintelligent Automation, driven by AI, is set to revolutionize industries by enhancing efficiency, driving innovation, and enabling smarter decision-making. Enterprises that strategically adopt these toolsβ€”by integrating IT and business expertise, prioritizing data governance, and continuously refining their automated workflowsβ€”will be best positioned to navigate the complexities of AI and achieve sustainable growth. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI Won't Hurt Salesforce

AI Won’t Hurt Salesforce

Marc Benioff Dismisses AI Threats, Sets Sights on a Billion AI Agents in One Year Salesforce CEO Marc Benioff has no doubts about the transformative potential of AI for enterprise software, particularly Salesforce itself. At the core of his vision are AI agentsβ€”autonomous software bots designed to handle routine tasks, freeing up human workers to focus on more strategic priorities. β€œWhat if your workforce had no limits? That’s a question we couldn’t even ask over the past 25 years of Salesforceβ€”or the 45 years I’ve been in software,” Benioff said during an appearance on TechCrunch’s Equity podcast. The Billion-Agent Goal Benioff revealed that Salesforce’s recently launched Agentforce platform is already being adopted by β€œhundreds of customers” and aims to deploy a billion AI agents within a year. These agents are designed to handle tasks across industriesβ€”from enhancing customer experiences at retail brands like Gucci to assisting patients with follow-ups in healthcare. To illustrate, Benioff shared his experience with Disney’s virtual Private Tour Guides. “The AI agent analyzed park flow, ride history, and preferences, then guided me to attractions I hadn’t visited before,” he explained. Competition with Microsoft and the AI Landscape While Benioff is bullish on AI, he hasn’t hesitated to criticize competitorsβ€”particularly Microsoft. When Microsoft unveiled its new autonomous agents for Dynamics 365 in October, Benioff dismissed them as uninspired. β€œCopilot is the new Clippy,” he quipped, referencing Microsoft’s infamous virtual assistant from the 1990s. Benioff also cited Gartner research highlighting data security issues and administrative flaws in Microsoft’s AI tools, adding, β€œCopilot has disappointed so many customers. It’s not transforming companies.” However, industry skeptics argue that the real challenge to Salesforce isn’t Microsoft but the wave of AI-powered startups disrupting traditional enterprise software. With tools like OpenAI’s ChatGPT and Klarna’s in-house AI assistant β€œKiki,” companies are starting to explore GenAI solutions that can replace legacy platforms like Salesforce altogether. For example, Klarna recently announced it was moving away from Salesforce and Workday, favoring GenAI tools that enable seamless, conversational interfaces and faster data access. Why Salesforce Is Positioned to Win Despite the noise, Benioff remains confident that Salesforce’s extensive data infrastructure gives it a significant edge. “We manage 230 petabytes of customer data with robust security and sharing models. That’s what allows AI to thrive in our ecosystem,” he said. While companies may question how other platforms like OpenAI handle data, Salesforce offers an integrated approach, reducing the need for complex data migrations to other clouds, such as Microsoft Azure. Salesforce’s Own Use of AI Benioff also highlighted Salesforce’s internal adoption of Agentforce, using AI agents in its customer service operations, sales processes, and help centers. β€œIf you’re authenticated on help.salesforce.com, you’re already interacting with our agent,” he noted. AI Startups: Threat or Opportunity? As for concerns about AI startups overtaking Salesforce, Benioff sees them as acquisition opportunities rather than existential threats. β€œWe’ve made over 60 acquisitions, many of them startups,” he said. He pointed to Agentforce itself, which was built using technology from Airkit.ai, a startup founded by a former Salesforce employee. Salesforce Ventures initially invested in Airkit.ai before acquiring and integrating it into its platform. The Path Forward Benioff is resolute in his belief that AI won’t hurt Salesforceβ€”instead, it will revolutionize how businesses operate. While skeptics warn of a seismic shift in enterprise software, Benioff’s strategy is clear: lean into AI, leverage data, and stay agile through innovation and acquisitions. β€œWe’re just getting started,” he concluded, reiterating his vision for a future where AI agents expand the possibilities of work and customer experience like never before. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI Research Agents

AI Research Agents

AI Research Agents: Transforming Knowledge Discovery by 2025 (Plus the Top 3 Free Tools) The research world is on the verge of a groundbreaking shift, driven by the evolution of AI research agents. By 2025, these agents are expected to move beyond being mere tools to becoming transformative assets for knowledge discovery, revolutionizing industries such as marketing, science, and beyond. Human researchers are inherently limitedβ€”they cannot scan 10,000 websites in an hour or analyze data at lightning speed. AI agents, however, are purpose-built for these tasks, providing efficiency and insights far beyond human capabilities. Here, we explore the anticipated impact of AI research agents and highlight three free tools redefining this space (spoiler alert: it’s not ChatGPT or Perplexity!). AI Research Agents: The New Era of Knowledge Exploration By 2030, the AI research market is projected to skyrocket from .1 billion in 2024 to .1 billion. This explosive growth represents not just advancements in AI but a fundamental transformation in how knowledge is gathered, analyzed, and applied. Unlike traditional AI systems, which require constant input and supervision, AI research agents function more like dynamic research assistants. They adapt their approach based on outcomes, handle vast quantities of data, and generate actionable insights with remarkable precision. Key Differentiator: These agents leverage advanced Retrieval Augmented Generation (RAG) technology, ensuring accuracy by pulling verified data from trusted sources. Equipped with anti-hallucination algorithms, they maintain factual integrity while citing their sourcesβ€”making them indispensable for high-stakes research. The Technology Behind AI Research Agents AI research agents stand out due to their ability to: For example, an AI agent can deliver a detailed research report in 30 minutes, a task that might take a human team days. Why AI Research Agents Matter Now The timing couldn’t be more critical. The volume of data generated daily is overwhelming, and human researchers often struggle to keep up. Meanwhile, Google’s focus on Experience, Expertise, Authoritativeness, and Trustworthiness (EEAT) has heightened the demand for accurate, well-researched content. Some research teams have already reported time savings of up to 70% by integrating AI agents into their workflows. Beyond speed, these agents uncover perspectives and connections often overlooked by human researchers, adding significant value to the final output. Top 3 Free AI Research Tools 1. Stanford STORM Overview: STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) is an open-source system designed to generate comprehensive, Wikipedia-style articles. Learn more: Visit the STORM GitHub repository. 2. CustomGPT.ai Researcher Overview: CustomGPT.ai creates highly accurate, SEO-optimized long-form articles using deep Google research or proprietary databases. Learn more: Access the free Streamlit app for CustomGPT.ai. 3. GPT Researcher Overview: This open-source agent conducts thorough research tasks, pulling data from both web and local sources to produce customized reports. Learn more: Visit the GPT Researcher GitHub repository. The Human-AI Partnership Despite their capabilities, AI research agents are not replacements for human researchers. Instead, they act as powerful assistants, enabling researchers to focus on creative problem-solving and strategic thinking. Think of them as tireless collaborators, processing vast amounts of data while humans interpret and apply the findings to solve complex challenges. Preparing for the AI Research Revolution To harness the potential of AI research agents, researchers must adapt. Universities and organizations are already incorporating AI training into their programs to prepare the next generation of professionals. For smaller labs and institutions, these tools present a unique opportunity to level the playing field, democratizing access to high-quality research capabilities. Looking Ahead By 2025, AI research agents will likely reshape the research landscape, enabling cross-disciplinary breakthroughs and empowering researchers worldwide. From small teams to global enterprises, the benefits are immenseβ€”faster insights, deeper analysis, and unprecedented innovation. As with any transformative technology, challenges remain. But the potential to address some of humanity’s biggest problems makes this an AI revolution worth embracing. Now is the time to prepare and make the most of these groundbreaking tools. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Salesforce CPQ Check Up

Salesforce CPQ Check Up

A Salesforce CPQ Check Up is a comprehensive review of your system’s configuration and performance. It assesses how well your CPQ solution integrates with your business processes, highlighting any gaps hindering your sales efforts. From pricing rules to approval processes, a health check ensures seamless functionality and equips your sales reps with the tools they need to succeed.

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Agentic AI Race

Agentic AI Race

This announcement precedes the release of Salesforce’s competing Agentforce platform, set to debut for general use on Oct. 25. Salesforce CEO Marc Benioff has publicly criticized Microsoft’s AI technology, calling out Copilot’s data security risks and expressing doubts about its value for business customers.

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Insurance Brokerage Financial Services Cloud

Insurance Brokerage Financial Services Cloud

Salesforce has introduced Financial Services Cloud for Insurance Brokerages, an AI-powered platform set to launch in February 2025, designed to automate and enhance client management, policy servicing, and commission processing for insurance brokerages. Built on Salesforce’s core CRM system, Insurance Brokerage Financial Services Cloud streamlines traditionally time-consuming tasks like policy renewals, employee benefits management, and commission splits, aiming to consolidate operations and reduce operational expenses.

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Customization and Configuration in Salesforce

Salesforce Customization vs. Configuration: Choosing the Right Approach for Your Business Salesforce has become a top choice for businesses aiming to strengthen customer relationships and achieve their goals. Its flexibility to adapt to diverse needs through customization and configuration makes it stand out. While both approaches aim to tailor your Salesforce Org to meet specific business requirements, they differ in methodology and use cases. This insight will help you understand their differences and provide insights into when and how to choose between them. Let’s get the insight! What is Salesforce Customization? Salesforce customization involves enhancing your Salesforce Org by introducing tailored features, functionalities, and applications through coding. It goes beyond the out-of-the-box capabilities, enabling you to extend your platform to meet unique and complex business requirements. This approach requires expertise from a Salesforce developer who leverages tools such as Apex, Lightning Components, and the Salesforce Code Builder to create custom solutions. Examples of Customization: What is Salesforce Configuration? Salesforce configuration refers to adapting Salesforce’s native features to meet business needs without modifying the underlying code. By using tools such as drag-and-drop builders, configuration allows usersβ€”even those without technical expertiseβ€”to optimize the platform’s functionality. Examples of Configuration: Key Differences Between Customization and Configuration Basis Customization Configuration Level of Personalization High personalization, tailored to unique needs Limited to Salesforce’s native capabilities Implementation Requires coding expertise and detailed development Simpler, relies on drag-and-drop tools Time to Deploy Longer development cycles Faster implementation and deployment Maintenance Can require ongoing updates and compatibility adjustments during Salesforce upgrades Easier to maintain, as it aligns with standard platform updates Cost Higher costs due to skilled developer involvement Cost-effective; can be handled by in-house admins Risk Higher risks due to potential code conflicts or errors Lower risks, but over-configuration can lead to complexity Best Practices for Customization and Configuration Choosing the Right Approach The decision to opt for customization or configuration depends on factors like business requirements, budget, timeline, and project complexity. Sometimes, a hybrid approach that combines customization and configuration is the best solution, providing flexibility while optimizing costs and implementation speed. Why Partner with Salesforce Experts? Partnering with experienced Salesforce consultants at Tectonic ensures your Org is tailored to meet your specific business needs. They analyze your workflows, processes, and challenges to recommend the most effective approachβ€”whether it’s customization, configuration, or a blend of both. At Tectonic, our team of 200+ Salesforce experts specializes in delivering tailored solutions that maximize ROI. From development to ongoing maintenance, we ensure your Salesforce Org aligns with your long-term goals. Ready to transform your Salesforce platform? Let’s discuss how we can help. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and Firmable

Salesforce and Firmable

Firmable Launches Salesforce Integration to Enhance CRM Workflows Firmable has unveiled its latest integration with Salesforce, further expanding its CRM ecosystem to support over 20,000 Salesforce users across Australia. By embedding its extensive Australian dataset directly into Salesforce, Firmable empowers businesses to optimize workflows, improve productivity, and elevate their sales and marketing efforts. This integration adds to Firmable’s suite of CRM solutions, which also includes compatibility with platforms like HubSpot, making its rich dataset an integral part of daily business operations. Key Benefits of the Firmable-Salesforce Integration A Comprehensive Solution for Australian Businesses Firmable’s integration with Salesforce brings unparalleled ease of use and precision to CRM workflows. By embedding its rich Australian data into everyday tools, businesses can streamline lead generation, enhance customer engagement, and boost sales effectiveness. πŸ””πŸ”” Follow us on LinkedIn πŸ””πŸ”” Ready to transform your sales and marketing strategies? Firmable is now available for trial or purchase at firmable.com. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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