Source-linked RevOps signals, held to an editorial relevance gate. Each item names the operator question worth checking and keeps the original source visible.
Salesloft published a September 24 product vision that connects forecasting and execution, while previewing Agentic Forecasting, adaptive multi-step Agentic Playbooks, expanded real-time conversation signals and Context Intelligence as future direction.
Negative WEEK values are coming to two forecast submission tables. The change is small at the schema level and material anywhere a query assumed future-period submissions did not exist.
The September rollout puts Outreach’s conversational agent into Slack while adding a confirmation step before supported Prospect, Account and Opportunity changes.
A Salesforce-commissioned finance survey documents perceived complexity across revenue models, channels and manual work. It is a diligence input, not proof that AI resolves those problems.
PostHog adds a Metronome data source for billing records. Joining those records to product activity still requires explicit account identity, grain and timing.
Gong says Assistant is embedded in Account Console so post-sales teams can ask account questions, prepare for customer conversations, generate renewal and follow-up materials, and examine patterns across a filtered…
ICONIQ recently released their 2026 GTM benchmark report, and it shows that overall sales quotas and processes are similar to the pre-AI era. Just … ramped up.
I remember the first customer I lost due to not showing up in person. They were a Fortune 50 customer. We did a CSAT survey, and every user loved us. The implementation was flawless. There were zero issues.
Salesloft expands its MCP Server to connect revenue execution and forecasting data across Claude, OpenAI ChatGPT, Microsoft Copilot, and Google Gemini.
Someone on X this week made a claim that has truth in, but also radically overstates things: “I’ve built AI agents that do everything HubSpot would have done for me and more.
From siloed CRM records to unlogged customer calls, gaps in revenue data cost organizations 26% of their pipeline. Here's how leading teams are closing that gap with AI.