AI agents just got smarter: How a reasoning engine makes it happen

Autonomous AI agents can now think, reason, plan, and orchestrate complex tasks at a human-like level. What makes this possible? A reasoning engine.

The Atlas Reasoning Engine is the brain of Agentforce, Salesforce’s suite of tools, services and actions for building agents.

Here we explain how it works, and the amazing capabilities it delivers to enterprises.?

How to build trustworthy AI agents?

The full potential of AI agents will only be realized if you can trust them to act on your behalf. The best approach is one that’s built on intentional design and system-level controls that emphasize and prioritize transparency, accountability, and safeguards.

Here are Salesforce’s top five patterns for building trustworthy AI agents.

What our community is saying

“IT leaders must ensure that their data infrastructure is up to the task of supporting [agentic AI] initiatives. Implementing data security and privacy measures is crucial to ensure the safe and effective use of AI.

“Agentic AI can be a powerful tool in software development, enabling developers to save time and DevOps teams to be more aggressive in their go-to-market strategies. B2B sellers are also reporting positive outcomes from their generative AI implementations, which could evolve in new and exciting ways.”

— Javed Iqbal , SEO team lead, Tech Mahindra

What we’re reading?

• AI adoption rose 17% in the past year, but fewer projects are reaching full deployment due to growing complexity of AI models and challenges around sourcing, cleaning, and labeling data. ( VentureBeat )
• Generative AI doesn’t have to be a power hog after all. More businesses, increasingly concerned about power consumption, find that smaller custom models can get the job done well . ( ZDNET )
• Slack research finds five different types of AI users in the workplace. Understanding the emotions of each group will help business leaders drive adoption of AI. ( Inc. Magazine )