Meeting prep briefs
Evan prepares meeting briefs by researching CRM, email, call history, people, companies, org charts, and buying roles, then sends talking points and battle cards before the call.
Zams
Zams is an AI-worker platform for revenue teams that automates meeting prep, CRM work, account monitoring, and prospecting across existing tools. It connects to systems like CRM, email, calendar, and Slack, with outputs delivered into familiar work channels.
Overview
Zams, previously presented on the site as Obviously.ai, sells AI workers for revenue teams. The product is built to connect to an existing stack and automate recurring work in areas like meeting preparation, CRM operations, account monitoring, prospecting, and relationship mapping.
The platform is organized around named workers such as Evan, Atlas, Nico, Nova, and Iris, plus custom workers for teams with specific workflows. According to the site, these workers connect to tools like CRM, email, calendar, Slack, and other systems, then run in the background to take action, surface signals, and deliver outputs such as briefs, alerts, and recommendations.
Pricing is presented transparently on a monthly per-user basis for some workers, with custom workers priced separately. The site also states that the system does not require engineering setup and can be connected to existing tools in minutes, which positions it as an automation layer for revenue operations rather than a replacement for core systems.
Core capabilities
CRM task execution
Atlas turns plain-English commands into CRM actions, helping users find information, update records, clean fields, and pull pipeline analytics from messy data.
Account monitoring
Nico monitors target accounts continuously and alerts teams when account signals change, including hiring, funding, stakeholder moves, and org changes.
Lookalike discovery
Nova analyzes completed sales calls to identify high-fit lookalike companies and contacts so follow-up prospecting can happen while momentum is still fresh.
Relationship intelligence
Iris analyzes LinkedIn networks to surface warm intro paths, high-value prospects, and the strongest people to contact first.
Custom workflow builds
Custom Workers are built by a Zams expert for a team’s specific workflow and are described as secure, production-ready, and ready for org-wide use in under a week.
Practical use cases
Prepare for customer meetings
A rep can get a pre-call brief that pulls from CRM, email, call history, and web research so they can enter the conversation with talking points, context, and likely objections already assembled.
Reduce CRM administration
A revenue operations or sales operations team can use Atlas to update fields, clean records, and pull answers from legacy CRM data without manually searching and editing records one by one.
Monitor target accounts
A team responsible for strategic accounts can use Nico to track hiring, funding, stakeholder movement, and org changes, then respond when a meaningful account signal appears.
Follow up on successful calls
After a strong sales call, a rep can use Nova to identify similar companies and contacts quickly, keeping prospecting aligned with what just worked instead of starting from scratch.
Find warm introductions
Salespeople can use Iris to map their LinkedIn network for warm intro routes and high-value prospects, which helps prioritize outreach and relationship-based selling.
Pros and Cons
Pros
- Connects to existing revenue tools instead of requiring a new stack.
- Covers multiple revenue workflows, including meeting prep, CRM hygiene, account monitoring, and prospecting.
- Uses plain-English commands for at least some CRM tasks, which lowers the barrier for non-technical users.
- Delivers outputs into common work channels like Slack or email.
- Offers both standard workers and custom builds for teams with specific processes.
Cons
- Some workers are listed as coming soon or waitlist-only, so not every capability is immediately available.
- The integration page names several systems, but the public source does not fully document every supported connector or workflow detail.
- Custom workers require direct contact and are priced separately, so they are less self-serve than the standard workers.
FAQ
How does Zams connect to my stack?
Zams is designed to connect to existing tools such as CRM, email, calendar, Slack, and other systems so AI workers can start operating on current data without a migration. The site says setup takes minutes and does not require engineering.
What kinds of revenue workflows does Zams support?
The site positions Zams for revenue teams that want to automate prep, CRM work, account monitoring, and prospecting tasks. Evan, Atlas, Nico, Nova, and Iris each focus on a different revenue workflow.
What do the AI workers deliver to users?
The product pages say workers can deliver outputs to Slack or email and can execute actions inside connected systems like CRM data, but the exact output format depends on the worker and workflow.
How is Zams priced and sold?
Pricing is presented as per-user monthly pricing for some workers, while custom workers are priced separately and require contact with Zams. Some workers are marked as coming soon or available by waitlist rather than immediate access.
Which integrations are available?
The source materials show support for common systems such as Salesforce, Gmail, Google Calendar, Slack, Gong, Zoom, Notion, Attio, Affinity, and several data sources, but the integrations page does not present every supported workflow in detail.
Quick Facts
- Brand
- Zams
- Category
- AI workers for revenue teams
- Primary users
- Revenue teams, sales teams, and revenue operations
- Source domain
- obviously.ai
- Delivery channels
- Slack and email
- Pricing model
- Monthly per-user pricing for some workers; custom pricing for custom workers
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