Can you run SalesCrew and Attio at the same time?

There's no technical block, since both connect out through their own APIs and webhooks, but running two systems of record for the same contacts and deals creates sync work most teams don't want to maintain long term. A more realistic pattern is trialling both on a subset of the pipeline before standardizing on one.

How do you move data from Attio into SalesCrew?

Attio's records export to CSV, and SalesCrew's contact, company and deal import accepts that format, so the mechanics are an export and re-import with a field-mapping pass. Attio's custom objects and its workflow automations don't carry over automatically and would need to be rebuilt as SalesCrew segments, cadences or pipeline stages.

Why would I choose a brand-new CRM with no reviews over Attio, which has a strong reputation?

If a proven, well-reviewed product with a polished interface and a mature integration marketplace is what matters most, Attio has the track record and SalesCrew doesn't. SalesCrew's case is that every action in it, including the ones an AI agent takes, is also available as an MCP tool, and every AI-proposed external action queues for approval by default. That's a specific design bet a team either needs or doesn't.

Does Attio have an approval queue for AI-proposed actions?

Attio ships AI features, including Ask Attio and AI agents that can search and create records, but nothing described on its own site functions as a single cross-workspace queue where every AI action waits for a human to approve, edit or reject it before anything sends externally. SalesCrew's approval queue is a defined control plane, not an assistant feature layered on top.

SalesCrew's calling and SMS features are on the roadmap, not shipped yet. This page compares what's live in each product today.

SalesCrew vs Attio

Attio is a well-reviewed, modern CRM with a polished interface and a growing integration marketplace. SalesCrew is newer and trades that track record for an approval queue over every AI action.

app.salescrew.io/deals

Pipeline with weighted forecast and stage breakdown

Choose Attio when a proven, well-reviewed CRM with a mature integration marketplace and strong UI polish matters more than an AI approval layer. Choose SalesCrew when the priority is an AI-native design where every action, including an agent's, runs through one queue a person controls, and a database that belongs only to your team.

The short answer

Attio has a real track record with third-party reviews and a mature 50+ integration marketplace; SalesCrew has neither yet, since it's a new product with no customers on record.
SalesCrew's approval queue and MCP-first design govern every AI-proposed action by default; Attio's AI features assist inside the product without a single cross-workspace review gate.
Attio ships native iOS and Android apps and a broader native integration list; SalesCrew is responsive web only and connects most third-party tools through webhooks, API and MCP instead of native listings.

SalesCrew vs Attio at a glance

Dimension	SalesCrew	Attio
Price	$299–$1,200/mo, unlimited seats on every tier	Free (3 seats); Plus $35–44/user/mo; Pro $79–99/user/mo (unlimited seats); Enterprise custom
Seats	Unlimited on every tier	Per-seat on Free/Plus; unlimited seats on Pro and above
Cold outbound policy	Suppression enforced at audience freeze, sender pool, deliverability loop	Sequences for outreach on paid tiers; no dedicated suppression-at-freeze mechanic described
Data ownership / export	One Supabase project per client; full Postgres + CSV export	Record export per object; shared multi-tenant infrastructure
AI approval controls	Every AI action queues for review by default before anything external sends	Ask Attio and AI agents assist inside the product; no single cross-workspace approval queue
Agent API / MCP	145+ tools over MCP, one per UI action	API, webhooks, an App SDK, and an MCP server, per Attio's own site
Voice / SMS	On the roadmap (P1), not shipped	Call intelligence on Pro tier; no native SMS described
White-label	Branding controls per instance; no white-label mobile app	Not offered
Integrations breadth	Fewer native listings; connects via webhooks, API and MCP	50+ native integrations, per Attio's own site
Mobile app	Responsive web only, no native app	Native iOS and Android apps
Best for	AI-native workflows where every agent action needs a review gate and its own database	Teams that want a proven, well-reviewed CRM with strong native integrations and mobile support

Figures checked on vendor pricing page, September 2026 (attio.com/pricing). SalesCrew figures from the SalesCrew product fact sheet, September 2026.

Where each product holds up, and where it doesn't

SalesCrew

Every AI-proposed external action queues for approval by default
One Supabase project per client, with full export on churn
145+ tools over MCP with a UI twin for every one
New product: no customers yet, and no third-party reviews yet
No native mobile app; responsive web only
Fewer native integrations than Attio's 50+ marketplace listings

Attio

A mature product with a strong reputation and third-party reviews
Native iOS and Android apps
50+ native integrations plus API, webhooks and an App SDK
No single approval queue gating AI-proposed actions across the workspace
Per-seat pricing on entry tiers, so cost climbs with headcount before Pro
No dedicated suppression-at-freeze mechanic described for cold outbound specifically

How to choose

If proof of a working product matters most right now, a mature interface, a real base of reviews, native mobile apps and a 50-plus integration marketplace, Attio is the safer pick on every one of those points, and there's no honest way to argue otherwise for a product that launched days ago. That track record is worth something concrete.

SalesCrew's argument is narrower and specific: it's built so an AI agent and a human use the same tools, and every external action an agent proposes waits in one queue until a person approves it, an explicit control rather than a feature bolted on. If that governance model over AI actions is the deciding requirement, and the team is comfortable being early on a product without reviews yet, that's the case for SalesCrew.

A reasonable middle path is trialling SalesCrew for a specific pipeline slice, like one segment of cold outbound, while keeping the main book of business on Attio until the approval-queue model has proven itself on real volume.

Questions

Can you run SalesCrew and Attio at the same time?: There's no technical block, since both connect out through their own APIs and webhooks, but running two systems of record for the same contacts and deals creates sync work most teams don't want to maintain long term. A more realistic pattern is trialling both on a subset of the pipeline before standardizing on one.
How do you move data from Attio into SalesCrew?: Attio's records export to CSV, and SalesCrew's contact, company and deal import accepts that format, so the mechanics are an export and re-import with a field-mapping pass. Attio's custom objects and its workflow automations don't carry over automatically and would need to be rebuilt as SalesCrew segments, cadences or pipeline stages.
Why would I choose a brand-new CRM with no reviews over Attio, which has a strong reputation?: If a proven, well-reviewed product with a polished interface and a mature integration marketplace is what matters most, Attio has the track record and SalesCrew doesn't. SalesCrew's case is that every action in it, including the ones an AI agent takes, is also available as an MCP tool, and every AI-proposed external action queues for approval by default. That's a specific design bet a team either needs or doesn't.
Does Attio have an approval queue for AI-proposed actions?: Attio ships AI features, including Ask Attio and AI agents that can search and create records, but nothing described on its own site functions as a single cross-workspace queue where every AI action waits for a human to approve, edit or reject it before anything sends externally. SalesCrew's approval queue is a defined control plane, not an assistant feature layered on top.