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Radar

What’s changing.
Why it matters.

CRM and AI developments, with context to bring them into the business conversation.

TWICE A WEEK

Tuesdays and Fridays · A selection with context.

First available edition. Future editions will appear here, keeping the latest four weeks.

4 stories

Edition of

LATEST

CRM is moving beyond its own screen.

Salesforce announced AIforce to bring CRM data, workflows and business rules into other AI interfaces. Salesforce in Claude is available in beta, according to the announcement.

Source: Salesforce (opens in a new tab)
From announcement to practice

Business perspective

The opportunity is to bring customer context closer to decisions. Its value will depend on data quality and permissions.

Bring it to your team

Pick one repetitive sales task. Measure time, errors and adoption before expanding the pilot.

Two agents. A clear handover to sales.

Salesforce reports that Siemens uses two agents to engage and qualify inbound leads before routing them to sellers, covering those leads across 132 countries.

Source: Salesforce · Siemens (opens in a new tab)
From announcement to practice

Business perspective

The case helps identify where automation ends and human relationships begin. Reaching more leads does not, by itself, demonstrate more sales.

Bring it to your team

Define a qualified opportunity and when a person should step in. Measure conversion after the handover.

Choosing a model means choosing how to operate it.

Anthropic introduced Fable 5.1 and Mythos 5.1 with different access levels and safeguards. The announcement also covers pricing changes and forthcoming enterprise privacy options.

Source: Anthropic (opens in a new tab)
From announcement to practice

Business perspective

Capabilities are only part of the decision. Cost per task, availability and data handling also shape useful adoption.

Bring it to your team

Compare models using the same team tasks and acceptance criteria defined before testing.

The next AI layer: protecting what an agent reads.

AIR emerged from stealth with a security offering designed to filter untrusted inputs before they reach an AI agent’s context.

Source: AIR (opens in a new tab)
From announcement to practice

Business perspective

Adoption creates opportunities for companies solving needs around the model. AIR’s proposition focuses on the connections and sources an agent uses.

Bring it to your team

Map each automation’s tools, sources and permissions. Evaluate controls through testing; a vendor’s promise cannot replace that check.

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