
Attio
An AI-native CRM that automates research, enrichment, and outreach for go-to-market teams.
Independent overview by new Mantra · updated July 21, 2026
- Category
- Sales
- Pricing
- Free (up to 3 users); Plus $35/user/mo, Pro $79/user/mo billed annually ($44/$99 monthly); Enterprise custom
- Implementation
- 1-2 weeks
- Adoption risk
- Low
- Integrates with
- Gmail/Outlook, Slack, Zapier, HubSpot
What Attio does
Attio is a customer relationship management platform built with AI as a core part of its data layer rather than a bolt-on feature. It connects to your email, calendar, and other solutions, then automatically logs activity and enriches contact and company records without manual data entry. The result is a CRM that stays current on its own from day one.
Beyond storing data, Attio includes workflow automation and AI agents that can handle tasks like scoring leads, routing new records, drafting outreach, and flagging deals that have stalled. Call intelligence is built in, so meetings are recorded and analyzed inside the same system rather than a separate solution. Teams can query their pipeline and account health in plain language and get answers pulled from live data.
Attio connects to Gmail, Outlook, Slack, Zapier, and HubSpot, and offers an API, SDK, and MCP for teams that want to build custom integrations or extend functionality. Pricing starts with a free tier for up to three users, scaling to paid plans at $35 and $79 per user per month (billed annually), with enterprise pricing available on an annual basis.
Key capabilities
Automatic data enrichment
Attio enriches contact and company records by pulling in information from connected sources and web research, reducing the manual work of keeping CRM data current.
Built-in call intelligence
Meetings can be recorded and analyzed directly within Attio, so call notes and insights live alongside the deal record rather than in a separate application.
AI-powered workflow automation
Workflows can trigger agents to score leads, route records, enroll contacts in sequences, or draft follow-up emails based on conditions your team defines.
Live pipeline and revenue reporting
Teams can ask revenue questions in plain language and get answers drawn from live data, covering forecast coverage, deal velocity, and account health.
Flexible, customizable data model
Attio's data structure can be shaped around how your team actually sells rather than forcing you to conform to a fixed set of objects and fields.
Broad connectivity and developer access
Native integrations include Gmail, Outlook, Slack, Zapier, and HubSpot, and an API, SDK, and MCP are available for teams that need to build on top of the platform.
Best for
- Small to mid-size go-to-market teams that want automation and AI built into their CRM rather than layered on top of a legacy system.
- Teams currently managing sales activity in spreadsheets who need a structured system with a low barrier to getting started (free tier, 1–2 week implementation).
- Revenue teams that want agents to handle lead research, scoring, and initial outreach so reps can focus on active deals.
- Organizations that need call recording and analysis without purchasing a separate conversation intelligence solution.
- Teams with developer resources who want to extend or build on their CRM through an open API, SDK, or MCP.
Worth knowing
- The free plan is limited to three users; teams larger than that will need a paid plan starting at $35 per user per month (annual), which adds up quickly at scale.
- The Pro plan at $79 per user per month is priced in the mid-to-upper range for CRM solutions, so teams with tight budgets should evaluate whether the AI features justify the cost versus simpler alternatives.
- Enterprise pricing requires a direct conversation with sales and is billed annually, which may not suit teams that need monthly flexibility.
- Attio is designed around go-to-market and sales use cases; teams looking for a general-purpose CRM covering service, support, or marketing as primary functions may find the focus narrow.
- Getting full value from the AI agents and automations requires connecting your existing solutions and investing time in workflow configuration, even within the stated 1–2 week implementation window.
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