Smart Automation comes to CRM: Salesforce launches Agentforce

Salesforce has once again set the pace for innovation with the announcement of Agentforce and Marketing Cloud Next—two solutions redefining automation within the CRM ecosystem. These innovations not only incorporate artificial intelligence but place generative AI at the core of business operations, enabling virtual agents to act autonomously across sales, marketing, and customer service processes.

In this article, we analyze the key aspects of this evolution and its impact on business productivity, with a focus on CRM and advanced analytics.

Agentforce: automation + autonomy + analytics

Unlike traditional automation tools, Agentforce goes beyond executing pre-programmed tasks. It leverages generative AI to understand context, analyze real-time data, and carry out adaptive actions.

Key features include:

  • Automation of prospecting, follow-up, and opportunity-closing tasks.

  • Smart agents that generate emails, reports, and proposals tailored to each client’s profile.

  • Direct integration with CRM data, analytics, and customer behavior insights.

  • Continuous learning based on past results.

This combination of automation, AI, and analytics positions Agentforce not just as a time-saver, but as a tool that enhances commercial strategy intelligently.

Marketing Cloud Next: predictive personalization at scale

Alongside Agentforce, Salesforce introduced Marketing Cloud Next, a platform that takes predictive marketing to the next level.

Thanks to its CRM integration, it allows users to:

  • Design hyper-personalized customer journeys using AI.

  • Launch omnichannel campaigns with no manual programming required.

  • Measure performance in real time and automatically adjust actions.

The result: Each customer receives communications tailored to their behavior, interests, and stage in the buying cycle—boosting conversion and loyalty.

Automation in action: tangible benefits

B2B companies already testing Agentforce report:

  • A 28% increase in sales team efficiency.

  • A 35% reduction in conversion times.

  • A 40% improvement in marketing message consistency.

All of this is made possible by data-driven intelligent automation. It’s not just about moving faster—it's about moving smarter, guided by analytics and context.

How to prepare for Agentforce in your company

Adopting a tool of this caliber requires a few essential steps:

  • Data audit: Make sure your CRM data is clean and up to date.

  • Internal training: Prepare your teams to understand how to collaborate with smart agents.

  • Review current workflows: Identify bottlenecks where automation can add value.

  • Ongoing measurement: Set clear KPIs to track the impact of automation on sales and marketing.

Conclusion: The Future of CRM is Autonomous and Analytical

Salesforce’s Agentforce and Marketing Cloud Next aren’t incremental improvements—they're transformative. They represent a new paradigm in which CRM not only stores data but acts on it intelligently.

For companies looking to scale growth, improve efficiency, and deliver personalized experiences, intelligent automation is no longer optional—it’s essential.

Ready to take the leap?
At Hike&Foxter, we help you implement automation, CRM, and business intelligence solutions tailored to your needs.

PREVIOUS
NEXT

EXPERT TIP

Subscribe to boost your business.

LATESTS ARTICLES

5 common customer data mistakes to avoid

Introduction

In 2025, customer data has become one of the most valuable assets for businesses. However, as its importance grows, so do the risks associated with managing it. From data quality to the implementation of artificial intelligence, organizations must be aware of common mistakes that can compromise their digital strategy. Below are five critical errors companies should avoid to ensure success and maintain customer trust.

Omnichannel: How to Implement Strategies That Boost Retention

 

The Power of CRM in Sports: Real Success Stories

 

How AI Agents are revolutionizing modern CRM

Introduction

Business automation is entering a decisive stage thanks to AI agents, also known as agentic AI. These solutions are no longer limited to generating recommendations—they execute actions, make real-time decisions, and optimize processes autonomously. This article explores how this evolution is shaping the direction of CRM, advanced analytics, and digital transformation for companies seeking sustainable growth.

data
Mallorca 184, 08036
Barcelona, Spain