
Zams is an AI-powered command center designed for B2B sales teams to automate tasks across over 100 integrated tools using plain English commands. It enables multi-step workflows without requiring complex setups, focusing on saving time and increasing revenue through context-aware agents. The platform connects to applications like HubSpot, Slack, Apollo, Gong, and others, understanding elements such as CRM data, emails, PDFs, and call notes. Powered by the proprietary Z1 Engine, it transforms large language models into agents with memory and action capabilities, handling large volumes of data securely.
Key features include running adaptive tasks that fit specific sales processes, such as relationship intelligence by finding leads via LinkedIn and logging in Salesforce, or demo follow-ups by syncing notes and sending emails. It offers enterprise-ready security with compliance to standards like SOC 2. Users can automate repeat activities like expansion alerts, stale lead activation, daily briefings, rep activity reports, and meeting prep without reminders.
In comparison to competitors, Zams differentiates from Zapier by using AI reasoning instead of rule-based workflows, providing more flexibility for sales scenarios. Against Nooks, it offers broader integration and orchestration beyond dialing. General pricing includes a free starter plan and paid tiers at mid-range levels, often more cost-effective for comprehensive automation than specialized alternatives.
Users appreciate the time savings, with reports of over 20 hours weekly per rep and revenue increases up to 3.2 times for top performers. Potential drawbacks involve dependency on supported integrations and a possible initial adjustment to command-based inputs. The platform has automated 6.2 million tasks, supporting metrics like 80 hours saved monthly and 7 percent revenue uplift.
To implement Zams, connect core tools first, input commands for basic tasks, and expand to advanced automations. Monitor performance through built-in stats to refine usage. For teams with diverse stacks, verify compatibility early to ensure smooth adoption.
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