#Agentforce

[getoncrm]

Revolutionizing Patient Engagement with Agentforce by GetOnCRM: AI-Powered Salesforce Health Cloud Integration

Explore how Agentforce by GetOnCRM is transforming healthcare CRM from basic automation to intelligent, AI-driven patient engagement. Built natively on Salesforce Health Cloud, Agentforce simplifies workflows, boosts operational efficiency, and empowers hospitals with real-time, personalized care. Discover how this Salesforce-based healthcare automation tool improves outcomes, reduces wait times, and scales intelligent conversations in hospitals and clinics.

[elenamartin]

Salesforce’s Big Reveal – Get Hands-On “Agentforce” Experience at Dreamforce

It’s official – #Dreamforce just got even more epic. Salesforce is rolling out the red carpet for their latest innovation: Agentforce 🕶️✨

Think AI-powered agents. Real-time customer magic. And YOU in the driver’s seat.

💥 What to Expect: 🎯 Live demos 🔍 Sneak peeks into AI workflows 💬 Chat with the minds behind the tech 🛠️ Try out Agentforce before anyone else

If you’re heading to Dreamforce, Agentforce is THE booth to watch. If you’re not… stay tuned. Big things are coming. 🌐👀

[salesforceconsultingsol]

Agentforce Service Agent: The Strategic Edge for Modern Enterprises

[altdigitaltechnologies]

How Agentforce Leverages AI to Transform Customer Engagement

In today's fast paced online world, customer expectations are changing faster than ever before and businesses are under constant pressure to be faster, more relevant, and deeply personalized at every touchpoint. This is where Agentforce’s AI-powered customer engagement tool steps in — revolutionizing how brands connect with their customers. As we track the rapid advancements of AI in the Customer Experience (CX) space, the innovative transformation led by Agentforce stands out as particularly relevant.

The AI-Driven Engagement Imperative

The conventional models of engagement involved a lot of manual input, the strict workflows and data silos. Such models are not scaled to the modern customer behavior, which is all about immediacy, personalization and context.

This is where agentforce resets the whole way of thinking. This is through incorporating machine learning, natural language processing (NLP), and predictive analytics and allows businesses to shift their support of customers to proactive, intelligent engagement, in real-time.

Personalization at Scale

Hyper-personalization is one of the most effective applications of Agentforce and AI. All the interactions with the customers are contextual; past behavior, preferences, intent, even the tone of voice. This allows experiences to be customized by brands in ways that were in the past not possible except through enormous human effort.

Whether it’s:

Suggesting the right product during a live chat,

Offering predictive help before a support ticket is raised,

Or crafting AI-generated email responses that feel genuinely human,

Agentforce ensures that every touchpoint feels personal, timely, and meaningful.

Intelligent Automation That Feels Human

Automation is often viewed as a trade-off between speed and empathy. Agentforce challenges that notion by combining AI with behavioral intelligence to automate customer interactions without compromising the human touch.

From automated chatbots that understand context to AI-powered assistants that guide support agents with real-time insights, the platform ensures faster resolutions while maintaining a high level of customer satisfaction.

Behind the scenes, Agentforce uses sentiment analysis and conversation modeling to decide when to automate, when to escalate, and how to respond—all while learning continuously from each interaction.

Unified Customer Insights

One of the key challenges enterprises face is fragmented customer data. Agentforce consolidates this data across channels, systems, and interactions into a 360-degree customer view.

This unified insight powers:

Smarter marketing segmentation,

Context-aware customer service,

And strategic decision-making at the leadership level.

By bridging data silos with AI-driven intelligence, Agentforce ensures that every team across sales, service, and marketing operates with a single source of truth.

Real-Time Learning and Optimization

What sets Agentforce apart is its ability to self-optimize. Using real-time feedback loops, the platform refines its decision-making models based on customer outcomes, agent performance, and business KPIs.

For example, if a certain response pattern is leading to higher satisfaction scores, Agentforce will amplify it. If a particular automation flow is causing drop-offs, it will flag and adjust it dynamically.

This continuous learning means that customer engagement strategies become smarter over time, without additional manual configuration.

A Strategic Ally in Digital CX Transformation

At Alt Digital Technologies, we believe that the future of customer engagement is intelligent, adaptive, and deeply customer-centric. Agentforce embodies these principles, offering businesses a scalable and sustainable way to build loyalty, drive conversions, and elevate their customer experience.

Whether you're an enterprise looking to modernize your CX ecosystem or a fast-growing brand seeking smarter ways to engage, Agentforce brings the AI edge you need to stay ahead.Ready to explore AI-powered customer engagement for your business? Let Alt Digital Technologies help you integrate, customize, and optimize solutions like Agentforce to align with your digital transformation goals. Connect with us today.

[alaturkaamerika]

Salesforce’ta Devrim: İşlerin Yarısı Yapay Zekâya Emanet

Benioff: “AI sistemimiz %93 doğrulukla çalışıyor!” 💼 Salesforce’un iş gücünün %30 ila %50’si artık yapay zekâ sistemleri tarafından yürütülüyor 🤖 CEO Marc Benioff, üretken yapay zekânın şirketin temel fonksiyonlarında aktif rol aldığını duyurdu 🎯 Sistem %93 doğrulukla çalışıyor ama hangi görevleri yürüttüğü net değil AI, Salesforce’un Yeni Çalışanı mı? Amerika merkezli bulut yazılım devi…

[er-10-media]

Salesforce представляет платформу для ИИ-агентов Agentforce 3

New Post has been published on https://er10.kz/read/it-novosti/salesforce-predstavljaet-platformu-dlja-ii-agentov-agentforce-3/

Salesforce представляет платформу для ИИ-агентов Agentforce 3

Salesforce представила новое поколение своей платформы для работы с ИИ-агентами под названием Agentforce 3. Компания обещает, что это решение даст больше контроля и информации о работе ИИ-систем. По сути, это огромный шаг вперед в сфере «цифрового труда», позволяя компаниям создавать и использовать еще более умных и мощных помощников, чем когда-либо прежде. Об этом сообщает Techradar.сom

Agentforce 3 оснащен новым Центром Управления (Command Center). Это инструмент обеспечивает полный контроль над работой ИИ-агентов. Также система имеет более 100 предустановленных функций для разных отраслей.

– С Agentforce мы объединили агентов, данные, приложения и метаданные, чтобы создать платформу для цифрового труда, помогая тысячам компаний уже сегодня реализовать потенциал агентского ИИ, – говорит генеральный менеджер Salesforce AI Адам Эванс. – Agentforce Studio, даст пользователям гораздо больше контроля за тем, что делают их ИИ-агенты каждый день. Раньше можно было отслеживать только технические проблемы с безопасностью и производительностью моделей, но теперь эта функция расширена и будет охватывать «здоровье» агентов, их производительность и оптимизацию результатов.

Центр Управления будет предоставлять информацию в реальном времени о задачах конкретного агента, а также предлагать рекомендации по улучшению работы агентов, основанные на ИИ. Это должно сделать их еще более эффективными.

Agentforce 3 также включает встроенную поддержку протокола Model Context Protocol. Это означает гораздо лучшую совместимость с широким спектром других агентов и сервисов по принципу «подключи и работай», без необходимости писать собственный код. Платформа обещает сделать взаимодействие с ИИ-помощниками более прозрачным, контролируемым и продуктивным, открывая новые возможности для автоматизации и оптимизации бизнес-процессов.

[getoncrm-salesforce-insights]

From Code to TDX Champion: Agentforce in Slack

The rise of conversational AI in enterprise tools isn’t a concept anymore—it’s real, and it’s happening in Slack. At GetOnCRM, we took that idea and built something powerful: Agentforce, an intelligent Slack assistant powered by Salesforce services.

This wasn’t just an internal tool. It became a game-changer at Salesforce TDX 2025, where Agentforce earned the award for Best Use of Slack. Why? Because it connects Salesforce Data Cloud, Flows, Apex, and Slack SDK into one seamless experience. From checking customer profiles to viewing real-time updates—everything runs in Slack through natural conversation.

Agentforce is more than a demo. It's proof that AI-powered Salesforce integrations can simplify workflows, boost productivity, and scale across teams—whether in healthcare, finance, or retail. Built on the Atlas Reasoning Engine and secured by Salesforce’s Trust Layer, it delivers context-aware results without compromising compliance.

👉 Want to learn how we built it and what made Agentforce a ₹15 lakh TDX winner?

[vtdigital]

Agentforce AI vs Traditional CRM Workflows

[getoncrm]

Beyond the Code: How TriAgent’s Soft Skills Won TDX 2025 with Salesforce Slack Integration

Discover how TriAgent’s teamwork, time management, and clear communication powered their AgentForce-powered Salesforce Slack assistant to victory at TDX 2025. Beyond coding, human skills helped create award-winning CRM automation with GetOnCRM.

[technogrow]

Meet Tableau Next — the world’s first agentic analytics platform. Built on Salesforce and seamlessly integrated with Agentforce, it brings AI-powered, real-time insights directly into your workflow, enabling faster, smarter decisions without switching tools.

[salesforceconsultingsol]

Agentforce 3 is Here: The Future of Intelligent CRM is Here

[ameliajohnss012]

Maximizing ROI with Agentforce: Metrics and KPIs to Watch

Understanding ROI in the Context of Agentforce

Return on investment with Agentforce isn’t limited to cost reduction. While automation often leads to savings in time and labor, ROI also includes improvements in customer satisfaction, faster resolution times, enhanced decision-making, and increased sales conversions. A comprehensive ROI assessment involves both quantitative and qualitative measures.

Also Read this blog- Salesforce AI Strategy Unveiled: The Power of Agentforce and Beyond

Key Metrics and KPIs to Monitor

Customer Satisfaction (CSAT)

Track CSAT scores to evaluate how customers perceive interactions with AI agents. Improved satisfaction often correlates with quicker, more accurate resolutions and consistent service quality.

2. First Contact Resolution (FCR)

Measure how often customer issues are resolved during the first interaction. High FCR rates signal the efficiency and effectiveness of Agentforce-powered interactions.

3. Average Handling Time (AHT)

Monitor how long it takes to complete tasks or resolve issues. A decrease in AHT typically reflects well-optimized workflows and effective use of AI assistance.

4. Agent Utilization Rate

Evaluate how much of the workload is being handled by Agentforce versus human agents. A balanced utilization can help optimize resources and reduce operational costs.

5. Lead Conversion Rate

For sales teams, measure the percentage of leads converted into customers with the help of Agentforce. Intelligent automation can speed up response times and qualify leads more effectively.

6. Operational Cost Savings

Calculate savings derived from reduced manual labor, fewer escalations, and improved efficiency. This directly reflects the cost-effectiveness of deploying Agentforce.

7. Time to Resolution

Track the average time taken to resolve issues. A lower time to resolution generally leads to happier customers and better retention.

8. Escalation Rate

Keep an eye on how often issues are passed on from AI to human agents. Lower escalation rates may indicate the increasing capability and reliability of Agentforce agents.

Enhancing ROI Through Best Practices

Continuous Training and Optimization: Regularly update AI models with new data and feedback to improve performance and relevance.

Hybrid Workforce Strategy: Combine the strengths of AI agents with human expertise to deliver superior service.

Performance Dashboards: Use real-time dashboards to monitor KPIs and make data-driven decisions.

Customer Feedback Integration: Leverage feedback to fine-tune agent behavior and workflows.

Conclusion

Agentforce presents a powerful opportunity to drive operational excellence and elevate customer engagement through AI. By identifying and tracking the right metrics, organizations can not only justify their investment but also continuously refine their strategies to get the most out of this cutting-edge technology. In the age of intelligent automation, success is measured not just by what you implement, but by how well you measure and improve it.

[jimbuchan]

Hello, G'day or こんにちは

We have all witnessed the surge of automated online support engines over the past decade, which in a short period of time have progressed from a manual to an automated affair, always with the intended goal of increased convenience. Before the era of smart agents as we know it today, initially these engines started as semi-automated processes through 'bots', however, due to its repeditive nature and flowchart-like responses, the user-base started demanding smarter alternatives. Case in point, you may recall when automation first came on the scene it was in the form of friendly robot avatars which helped us do remedial tasks such as ordering pizza. The main benefit of these 1.0 versions of 'A.I.' was in the speed-of-delivery of the replies but this was based on determined responses which were programmed into the bot based on archived data from past customer requests rather than true Artificial Intelligence based on large language models (LLM's). From these early iterations of smart-bots came the obvious need for more granular (and human-like) responses as while bots were rapid in speed, the answers were limited based on company-curated data and not large swaths of public (and consumer) data which feed today's AI engines. The trade-off from programmatic-answers to factual and detailed responses ushered in the move to generative tools such as ChatGPT, Groq and the Salesforce AI engine AgentForce. Similar to how the latest AI systems provide fast and concise answers using LLM's, AgentForce provisions responses based on data that is both publicly available as well as data you feed it for custom, purpose-specific responses. For the developer or admin, AgentForce already provides Salesforce-specific queries on any SFDC subject matter such as Flows and debugging Apex, but going further for customer interactions, the proprietor can give their clients a tailored support experience. Supplementing the richness of your customized AI portal, AgentForce can also converse in a variety of languages such as French, German, Italian, Japanese and is soon expected to support over 40 languages. But the tool doesn't stop there… it also has the ability to converse in a specific flavor or dialect via the specified Language Locale (i.e. Australian, UK or US for English or Canadian or France en français).

Taking this further, the 'Tone' option gives your enterprise an added element of inflection by enabling your autonomous agent to communicate in a friendly (or casual) demeanor, or when a linguistically proper emphasis is required, the 'formal' option can be used. Does your business have a further need to refine the Locale and Tone with a made-to-order resonance? Bolt-on applications to Salesforce such as AirCall and JustCall gives further customization options for your voice (CTI) customers by introducing sentiment to your language such as sincerity, empathy or candidness. Where bots used to converse by rigid programmability, advancements in Natural Language processing gives your customer the option to communicate on their terms, and on their choice of platform, be it voice, chat or email. Taking this concept further, all of this valuable AI data can also be used in your everyday applications via the new AgentForce 2dx tool, where you can call an action within internal workflows, or enable a response from a complex orchestration or process within your other systems via API or Flow. In a short period of time, the automated service landscape has evolved to almost human-like standards, and while there are many advancements still to come (as it's only been 6 months since AgentForce was released for General Availability), investing your team's time to realize the potential for your enterprise can pay dividends if adopted properly. Should your firm have even one use-case that qualifies, taking advantage of this early can give you an edge over your competition (which if they are not currently in 'beta testing' mode, are most likely already using it).

__________________________________________________________________________________________ Title image by GabiMedia via Deviant Art | JustCall by SaaS Labs | AgentForce 2dx by Salesforce AirCall by aircall.io | Max Headroom / Matt Frewer by ABC, via The Verge

[cloudycoders]

Let's connect, collaborate, and achieve next-gen success together. You can book your 1:1 meeting now @ https://lnkd.in/gh_UQ2ZM

Cloudy Coders is excited to announce we'll be at the Agentforce World Tour – Dubai!

Our team is ready to showcase innovation, share insights, and make an impact on the global Salesforce stage. Join us on May 28, 2025, at the Madinat Jumeirah Conference Centre as we delve into the future of Agentforce and CRM transformation.

Dubai, here we come!