Zams
AI workers for revenue and ops teams
- Overview
- Zams, formerly Obviously AI, has pivoted from no-code ML predictions to an enterprise agentic platform that deploys autonomous AI workers for sales and revenue operations. Named agents (Evan for meeting prep, Atlas for CRM management) connect to Salesforce, HubSpot, Gong, and 100+ other GTM tools to automate research, CRM updates, and pipeline monitoring. The proprietary Z1 Engine converts any underlying LLM into a context-aware, memory-enabled agent that executes multi-step workflows without manual intervention.
- Why it matters
- Zams's pivot from predictive analytics to agentic RevOps reflects a broader market shift: GTM teams are replacing rule-based automation (Zapier-style flows) and static ML dashboards with always-on AI agents that take action, not just surface insights. The platform competes directly with Clay, Salesforce Einstein, and emerging agentic CRM layers. Watch for per-worker pricing that scales steeply with headcount, and evaluate whether the proprietary Z1 Engine creates meaningful lock-in relative to composing similar workflows on general-purpose agent frameworks.
- In practice
- RevOps leads typically deploy Evan first to eliminate manual pre-call research — the agent pulls CRM history, recent emails, and call recordings into a structured dossier before each meeting. Atlas is then layered in to keep CRM records current through natural language commands rather than form-filling. The honest limitation: three of five named AI workers are still in waitlist or custom-quote status as of mid-2026, so full-platform ROI requires patience with a product still maturing at scale.
- Best for
- Enterprise revenue ops and sales teams looking to eliminate manual CRM work and account research across a complex B2B pipeline
- Pricing
- Per-user, per-AI-worker pricing. Meeting Prep agent (Evan) starts at ~$60/user/mo; CRM Manager agent (Atlas) at ~$120/user/mo. Additional agents (account monitoring, relationship mapping) are custom/enterprise-quoted. No public self-serve pricing for full deployments.
Key features
- Named AI workers (Evan, Atlas, and others) that automate specific RevOps tasks end-to-end
- Natural language CRM commands — update records and pull pipeline data in plain English
- Automated meeting prep dossiers drawing from CRM, email, and call history
- 24/7 account monitoring for stakeholder changes, hiring signals, and org shifts
- Integrations with 100+ GTM tools including Salesforce, HubSpot, Gong, Apollo, and Slack; SOC 2 Type II, GDPR, and HIPAA certified
Quick answers
- What is Zams?
- Zams, formerly Obviously AI, has pivoted from no-code ML predictions to an enterprise agentic platform that deploys autonomous AI workers for sales and revenue operations. Named agents (Evan for meeting prep, Atlas for CRM management) connect to Salesforce, HubSpot, Gong, and 100+ other GTM tools to automate research, CRM updates, and pipeline monitoring. The proprietary Z1 Engine converts any underlying LLM into a context-aware, memory-enabled agent that executes multi-step workflows without manual intervention.
- Why does Zams matter?
- Zams's pivot from predictive analytics to agentic RevOps reflects a broader market shift: GTM teams are replacing rule-based automation (Zapier-style flows) and static ML dashboards with always-on AI agents that take action, not just surface insights. The platform competes directly with Clay, Salesforce Einstein, and emerging agentic CRM layers. Watch for per-worker pricing that scales steeply with headcount, and evaluate whether the proprietary Z1 Engine creates meaningful lock-in relative to composing similar workflows on general-purpose agent frameworks.
- What is Zams best for?
- Enterprise revenue ops and sales teams looking to eliminate manual CRM work and account research across a complex B2B pipeline
- How much does Zams cost?
- Per-user, per-AI-worker pricing. Meeting Prep agent (Evan) starts at ~$60/user/mo; CRM Manager agent (Atlas) at ~$120/user/mo. Additional agents (account monitoring, relationship mapping) are custom/enterprise-quoted. No public self-serve pricing for full deployments.
Know the terms
Glossary entries that explain what Zams is built on.
Agentic workflow
A multi-step process where an AI agent plans, executes, evaluates, and iterates on tasks with minimal human intervention. Unlike single-turn prompts, agentic workflows involve loops, branching logic, and tool calls that unfold over minutes or hours.
Agent
An AI system that can autonomously plan, use tools, and execute multi-step tasks on behalf of a user. Agents are the next major product paradigm after chatbots, with every major lab shipping agent frameworks.
AI-first GTM
A go-to-market strategy where the product's core value proposition, distribution channels, and growth loops are built around AI capabilities from day one, rather than adding AI features to an existing product.
Vertical AI
An AI product purpose-built for a specific industry, such as legal, healthcare, or finance. Vertical AI startups compete on domain expertise and data moats rather than raw model capability.
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