Navan vs Salesforce

Salesforce’s Agentforce Coworker Usage Soars 21x in Three Months as Enterprises Delegate Real Work to AI

Salesforce announces that Agentforce Coworker usage has surged 21x in three months, surpassing 185,000 users, as enterprises increasingly delegate real work to AI.

Salesforce AI's ADLC: Building AI-Native Product Teams

In a podcast episode, Salesforce AI's head of engineering, Jayesh Govindarajan, discusses the AI Development Lifecycle (ADLC), which replaces the traditional SDLC to accommodate continuous model updates and agent drift. He emphasizes continuous iteration, the importance of evals and observability, and the need to rebuild AI features frequently. The episode also covers how Salesforce transforms its 700-person product team into an AI-native one, including allowing teams to choose their own AI tools (e.g., Cursor, Claude Code) rather than mandating winners. Govindarajan highlights the use of Agent Script for deterministic answers and stresses hiring for high agency, craftsmanship, and the ability to define 'what good looks like'. The discussion is part of a podcast recorded at Dreamforce, with a link to a Senior Agentic Product Manager role.

• Salesforce AI's Jayesh Govindarajan leads the Agentforce organization.
• Govindarajan proposes replacing the SDLC with an ADLC (AI Development Lifecycle).
• The ADLC is a continuous iteration process: observe, build, test, evaluate, deploy.

Salesforce Agrees to Acquire Cresta, Which Offers Automated Calls and Real-Time Coaching

Outdoor navigation app company onX has significantly reduced its customer prediction-building time using Rokt mParticle Agent. Previously requiring two weeks to a month with an external team, predictions can now be built in just one day.

• onX utilized Rokt mParticle Agent to build customer predictions in-house.
• The time required to generate predictions dropped from two weeks to a month down to just one single day.
• Previously, the process required working with an outside team.