Lindy

What is Lindy?

Lindy is a web-based AI assistant and workflow automation platform for individuals and teams. Users can connect workplace applications, describe a task in natural language, build a custom agent, or configure a recurring workflow. Lindy then uses the selected integrations, knowledge sources, and instructions to produce an answer or work product and, where permitted, carry out actions in connected systems.

The product is aimed at practical business automation rather than general conversation alone. A user might ask Lindy to prepare a daily briefing, triage an inbox, summarize meetings, update a CRM record, research a competitor, or send a follow-up after approval. Its role is closer to an AI coworker operating inside existing workflows than to a standalone question-and-answer application.

How people use Lindy

Email, calendar, and meeting work

Lindy can help organize inboxes, draft replies, prepare catch-up summaries, schedule meetings, and coordinate follow-ups. Meeting workflows can include recording or connecting meeting information, transcription, notes, action-item extraction, and distribution of follow-up material. These capabilities make Lindy relevant to executives, sales teams, operations staff, and anyone handling a high volume of coordination work.

Custom agents and recurring workflows

Users can describe an agent in natural language and configure multi-step behavior across connected tools. Workflows may run on a schedule, in response to an event, or after a Slack mention. Examples include recurring reports, scheduled alerts, sales and support processes, onboarding sequences, research tasks, and updates to business records.

This makes Lindy different from a simple productivity chatbot. The important unit is not just the individual response but the repeatable process: retrieve information, apply instructions, create an output, and potentially perform an approved action.

Business applications and knowledge

Lindy advertises more than 1,000 integrations, including connectors for Slack, Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, Microsoft Outlook, HubSpot, Salesforce, Zendesk, Intercom, Notion, Asana, ClickUp, Linear, Airtable, Stripe, Shopify, QuickBooks, GitHub, Dropbox, Twilio, Canva, and WordPress. The exact availability of integrations can vary by plan and change over time.

Teams can also connect approved files, folders, meeting records, and other sources for persistent workspace context. Lindy supports MCP servers and can use a cloud computer through Autopilot when a task requires browser or computer interaction beyond an ordinary API integration. This broadens the range of workflows, but it also means that setup quality, permissions, source selection, and agent instructions matter significantly.

What distinguishes Lindy from adjacent AI tools?

Unlike a general-purpose assistant such as ChatGPT, Lindy is organized around connected workplace actions and recurring processes. Unlike a visual agent-building platform such as Botpress, its emphasis is on using an AI coworker inside day-to-day business applications, including email, calendars, meetings, CRM systems, and team communication. It can also overlap with workflow products such as Zapier Agents, but Lindy places particular emphasis on conversational assistance, meeting and inbox work, persistent context, and approval-controlled execution.

Lindy is therefore most useful when the desired outcome involves several systems or repeated coordination steps. It is less compelling if the need is only occasional text generation, a dedicated project-management system, or a specialized image and video tool.

Controls, approvals, and practical limitations

Lindy can prepare outputs and perform actions, but it is not presented as an unrestricted autonomous system. External-impact actions such as sending messages, updating records, or publishing documents can require approval. This is useful for reducing accidental changes, although approval steps also limit the degree of hands-off automation.

The platform uses credits, and consumption depends on the work performed and the models or capabilities involved. Credits are pooled at the workspace level, refresh each billing cycle, and do not roll over. Agents may also need careful configuration of permissions, approved knowledge sources, triggers, and instructions. More complex workflows can require more setup and oversight than a standard chat interaction.

Lindy is currently available as a web service with Slack, a Gmail Chrome extension, iMessage, connected third-party applications, cloud-computer functionality, and embeddable assistants. A native mobile or desktop application was not verified. It is also not primarily a coding environment, dedicated task-management application, or media-generation platform.

Pricing and access

Lindy does not list a continuing free plan on its current public pricing page. Public monthly plans are Plus at $29.99 per user with 3,000 credits, Pro at $99.99 per user with 15,000 credits, and Max at $199.99 per user with 35,000 credits. Additional usage may be enabled as overages, with the pricing page stating $10 per 1,000 additional credits. Enterprise pricing is customized.

A seven-day trial is available for new teammates who join through Slack. Direct signups are billed immediately according to the current pricing information, so prospective users should check the pricing page before committing. The credit model makes Lindy easier to evaluate for defined workflows than for unlimited casual use, particularly when tasks vary substantially in complexity.

Privacy and security considerations

Lindy states that data is encrypted in transit and at rest, is not sold, and is not used to train AI models. Its privacy materials also state that Google-sourced data accessed through Google APIs is not used or shared for AI model training or evaluation. The company describes SOC 2 Type II certification and compliance with GDPR, HIPAA, and PIPEDA, while enterprise materials describe controls such as audit logs, workspace permissions, private and shared context separation, and a signed BAA for HIPAA use.

These controls do not remove the need for careful deployment. Organizations should review which applications, folders, meeting records, and business systems are connected, restrict permissions appropriately, and decide which actions require approval. Lindy's privacy notice describes retention in terms of the applicable business, legal, accounting, dispute-resolution, and agreement-enforcement needs; a fixed product-wide deletion schedule was not verified.

Who should use Lindy?

Lindy is a strong fit for professionals and teams with repetitive, cross-application work: inbox management, meeting follow-up, sales operations, customer support, internal research, scheduled reporting, knowledge-base questions, and finance or onboarding workflows. It is especially relevant when a team wants agents to work with existing business data rather than move that work into a separate chatbot.

Light users may find the paid per-user plans and credit system difficult to justify, especially without an ongoing free tier. Lindy is also not the best choice for someone seeking a simple chatbot, a dedicated project-management product, a native mobile or desktop application, or fully autonomous execution without review. For teams prepared to configure integrations and permissions, however, it offers a broad way to connect conversational assistance with repeatable business operations.