To understand what drives success, Hightouch employs LLMs to synthesize all interaction data for an account from Gong, Salesforce, and Slack. The model then generates a qualitative narrative, or "deal story," explaining the deal's progression, providing deeper insights than traditional attribution.

By granting an AI agent read-access to all company data streams—Slack, Notion, Google Docs, email—you can create a centralized oracle. This agent can answer any question about project status or client communication, instantly removing communication friction and breaking down departmental silos.

Create a dedicated AI agent pre-loaded with your company's specific deal qualifiers (budget, timeline, ICP). Feed it discovery call notes, and it can instantly score the opportunity or flag it as disqualified, preventing reps from wasting time on deals that will never close.

A custom internal AI tool can act as a command center by integrating with HubSpot, Slack, and call recordings. It creates a unified customer view, automatically analyzing sentiment to predict renewal likelihood and proactively suggesting specific expansion opportunities.

The tedious manual process of data entry into systems like Salesforce is ripe for disruption. AI agents that analyze meeting recordings (e.g., from Zoom) to automatically extract action items and update records are already emerging as a key use case.

Frame tasks as a chain of "and then" actions an infinitely staffed team would perform. For example, a customer query in Slack is answered, "and then" AI turns it into a help article, "and then" it becomes SEO content. AI makes these previously cost-prohibitive workflows achievable.

Actively AI provides each sales account with its own persistent AI agent. This agent maintains context throughout the account's lifecycle, proactively guiding the human seller on next steps and even executing tasks. The core belief is that this model will lead to a sales world where AI agents vastly outnumber human sellers.

The core value of CRM software like Salesforce has been to structure unstructured sales data via manual human input. Modern AI can now ingest sources like meeting transcripts and automatically populate a database, threatening the entire CRM software category and the data entry aspect of sales roles.

Christopher O'Donnell's new company, Day AI, is building a CRM from the ground up to be "LLM optimized." Unlike traditional CRMs that resemble spreadsheets, it ingests and stores all company interactions in a way that allows an AI agent to easily explore the network of relationships and answer complex, natural language questions instantly.