AI for Sales

    An AI-native sales org, built into the workflow your team already runs

    Most "AI for sales" is a sidebar nobody opens. We embed agents directly into prospecting, pipeline, forecasting, and close — and we measure the number, not the demo.

    From basic prompts to autonomous agents

    We know what works and what moves the needle. Check out our 7 most common AI use cases below.

    Chat to CRM

    Don't switch tabs to update your CRM. Update Salesforce right from Slack or Teams.

    AI-powered outreach

    From simple email drafting to multi-step outreach with reply handling, remove the manual steps from reps.

    Auto-update CRM from calls & meetings

    Automatically propose recommended field updates based on call and meeting transcripts.

    Company intelligence & meeting prep

    Automate account research on CRM data plus recent company news & announcements.

    Lead scoring

    Move away from formulas and use natural language to score leads to identify the ideal prospect.

    Contact & buyer signals

    Track job changes, new hires, and buying-committee shifts so you reach the right person at the right moment.

    Deal signals

    Identify deal and churn signals proactively via AI-powered data analysis before it's too late.

    How we deliver

    01

    Diagnose

    Two weeks shadowing reps, RevOps, and leadership. We map the workflow, not the org chart, and rank opportunities by impact and feasibility.

    02

    Build

    Forward Deployed Engineers ship working agents into Salesforce, HubSpot, Gong, Slack — wherever the team already lives. No new tab to learn.

    03

    Adopt

    We measure usage and outcomes weekly, tune what's working, and kill what isn't. The goal is changed behavior, not a demo.

    Bring us your pipeline.

    Thirty minutes. We'll tell you the two or three places AI changes your number, and the ones to leave alone.

    Book a call

    FAQ

    Common questions

    Where does AI actually help a sales team?

    Account research and pre-call prep, keeping CRM records current without manual entry, prioritizing which accounts are worth the effort, and drafting personalized outreach grounded in real data. These are the workflows with measurable time savings today.

    Do we need to buy an AI platform?

    Usually not a new one. Most value comes from connecting models you already have access to — Claude, OpenAI, Agentforce — to the CRM and data sources you already run.

    How do you keep AI from writing bad data into the CRM?

    Scoped permissions, human review on the fields that matter, and agents that read broadly but write narrowly into a small, defined set of fields.