Introducing GrowthOS
GrowthOS is the AI agent suite built into HelloGrowthCRM. Six specialised agents handle lead scoring, email, WhatsApp, calling, forecasting, and exhibition capture — so your reps focus on closing.
Analyses every contact's email behaviour, web activity, and call history to assign a real-time intent score. Prioritise your hottest leads automatically.
Writes, schedules, and personalises follow-up sequences. Optimises subject lines with AI and stops sequences the moment a reply lands.
Sends approved WhatsApp templates, handles replies with intent detection, and escalates to a human when sentiment drops.
Makes outbound calls, qualifies prospects with natural conversation, and transcribes every call with an AI summary and next-step suggestion.
Predicts deal close dates and revenue from pipeline signals, historical win rates, and rep activity patterns — updated daily.
Captures leads via QR badge scanning at trade shows, enriches contact data in seconds, and triggers follow-up sequences automatically post-event.
AI agent suites create the most value when teams start with one or two operational bottlenecks instead of trying to automate everything at once. For many revenue teams, that means beginning with scoring, follow-up, or forecasting before expanding into voice, WhatsApp, or event workflows.
The practical goal is not just to add AI features. It is to make response speed faster, prioritization clearer, and manager visibility stronger without creating a separate operational layer outside the CRM.
Choose the revenue workflow creating the most friction today, such as lead prioritization or follow-up execution.
Evaluate whether the agent improves speed, consistency, or inspection quality rather than only whether it produces interesting outputs.
Once one workflow is stable, add more agents while keeping ownership, review rules, and AI credit usage visible to the team.
Every GrowthOS action consumes AI Credits. See the 10 most-used actions below and open the full 33-action reference for complete details.
See full AI Credits list →Credit Cost per Action (Top 10)
At 9 a.m., a rep at a five-person industrial supplies distributor opens the pipeline and finds overnight leads already scored — the two enquiries with the highest close probability sit at the top of the list instead of buried under forty others. A draft follow-up email is waiting for the proposal that went quiet last week; the rep edits two lines and sends it. Mid-morning, a WhatsApp enquiry about pricing gets an instant templated reply while the rep is on a call, and the conversation is logged against the right deal automatically.
After lunch, the rep makes six calls through the built-in dialer. Each one is recorded and summarised — no typing up notes, no forgetting what was agreed. By 5 p.m., the sales manager checks the forecast view: one deal has been flagged as at risk because activity dropped for ten days, so it gets a task assigned before it slips. Nothing in this day required a new tool or a separate AI product — the agents run inside the same AI CRM pipeline the team already works in, and the busiest workflows, like scoring and follow-up, are exactly where teams usually start. When you want to see the mechanics behind each action, the AI Credits reference lists every agent operation and its cost.
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