AgentsThe story, in brief

Salesforce targets a sweet escape from the old school UI

Salesforce is redesigning data access for AI agents — unlocking 'trapped value' in legacy CRM workflows.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Salesforce is addressing a real pain point: AI agents struggle with traditional UI-bound data access. Streamlining agent-native interfaces to CRM data could unlock significant adoption of agentic workflows in enterprise sales and service operations.

The key facts

4 to know
  1. Focus on agent access to Salesforce data

  2. Targeting 'trapped value' in legacy UI design

  3. Agent-native interface redesign initiative

  4. Enterprise CRM data unlocking for autonomous systems

Go to the source

ITProitpro.com

Publisher excerpt: The CRM giant wants to unlock "trapped value" by streamlining agent access to Salesforce data
Read original report
Back to today's editionMore agents news

The wider picture

View all
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents01

You too Google! Google Confirms Gemini Breached 3 Companies in AI Security Tests

Agent security vulnerabilities are real and happening at scale. Disclosure delays and inconsistent vulnerability-reporting practices across labs create systemic risk for enterprises deploying or evaluating agentic systems.

MarkTechPost
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents02

Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI

ADK for Kotlin brings production-ready agent infrastructure to mobile and server environments where Python dominates today. Practitioners building agents on Android or JVM now have Google's official framework; this accelerates agent deployment across a new class of applications (edge devices, hybrid deployments).

InfoQ AI/ML
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents03

AI governance moves from observability to provable control

As AI agents move into production, governance shifts from monitoring behavior to enforcing and proving authorization controls. This is a practitioner problem: auditing, compliance, and liability now depend on agents operating within defined authorization boundaries.

SiliconAngle