Lindy AI Review 2026: Pricing, Credits, Features & Pros/Cons

Lindy is an AI teammate and automation platform designed to work across Slack, email, meetings, files and connected business applications. Instead of requiring every task to be built as a rigid workflow, Lindy is positioned more like a colleague: users can mention it in Slack, ask for an outcome in plain language, connect the tools it needs and let it perform research, updates, summaries, follow-ups or recurring routines with approval controls.

The current product combines Slack-native interaction, scheduled routines, meeting recording and follow-up, inbox management, team files, computer use, reusable skills, MCP connections, model selection and more than 1,000 integrations. Pricing is seat-based, but the credits contributed by paid seats pool into one workspace balance. That makes Lindy easy to allocate across a team, although complex research, computer-use and artifact-building tasks can consume credits quickly.

What is Lindy?

Lindy is an AI teammate for knowledge work. It can read context from connected business tools, reason over that context and perform actions such as drafting replies, updating a CRM, preparing a report, summarizing a meeting, triaging support requests or running a scheduled routine. The product is designed to reduce the gap between “asking AI” and “getting work completed across several systems.”

Slack is a central surface. A teammate can mention Lindy in a thread, ask it to investigate something or update a connected system, and receive the result in the same conversation. Lindy can also operate through scheduled routines, email, meeting workflows and connected applications, which makes it broader than a simple Slack bot.

Who is Lindy best for?

Lindy features reviewed

Slack-native AI teammate

Lindy's most distinctive interface is Slack. Users can @mention it in channels or threads and ask for work in natural language. Because it connects to approved business systems, it can move beyond answering a question and perform actions such as updating a CRM, building a report or drafting a follow-up.

This changes who can use automation. A sales manager does not need to open an agent builder to ask Lindy to update a deal record, and a support lead can request a daily escalation summary in the channel where the team already works.

Scheduled routines

Routines let Lindy repeat work on a schedule. Common examples include a Monday planning brief, daily customer-health checks, weekly pipeline summaries, support escalation monitoring and recurring competitive research. Once a routine is configured, Lindy can continue running it without waiting for a manual prompt each time.

Scheduled work consumes credits, so frequency matters. A routine that runs daily across a large data set can be much more expensive than a lightweight weekly summary.

Meetings, prep and follow-up

Lindy can record meetings, create notes and use the result in follow-up workflows. It can prepare context before a meeting, capture decisions and then draft or perform downstream tasks afterward. This helps close the common gap between meeting notes and actual execution.

The meeting library is also useful as a shared source of context. Teams can search or reuse what was discussed rather than treating every call as an isolated transcript.

Inbox management

Lindy can connect to email, read inbox context and draft replies in the user's voice. Current pricing supports up to five connected inboxes. Email workflows can be combined with calendar, CRM, Slack and other tools, so Lindy can do more than simply summarize messages.

External-impact actions are protected by approval controls. Sending an email, updating a ticket or publishing a document waits for approval unless the configured workflow allows otherwise. Read-only lookups from approved sources do not require the same approval step.

Computer use

Computer use allows Lindy to perform browser-style actions where a native integration is unavailable or insufficient. This expands the range of tasks Lindy can complete, but it can also consume more credits because the agent may need several reasoning and interaction steps to finish the job.

Teams should reserve computer use for workflows that genuinely need it. If a native API or integration is available, it is often more predictable and easier to audit.

Skills

Lindy includes more than 40 built-in skills and supports reusable custom skills. A skill can encode how the team performs a repeated task, such as preparing a pipeline review, drafting a certain document or researching an account. Skills help reduce repeated prompting and make organizational know-how more reusable.

MCP support

Lindy supports Model Context Protocol connections, letting teams connect tools and data exposed through MCP servers. That makes the product extensible beyond its built-in integration library. MCP can be particularly valuable when a company already uses internal tools or custom data services not available as a native connector.

Model selection

Lindy allows teams to choose among major frontier models, including supported models from vendors such as Anthropic, OpenAI and Google. Model choice can affect reasoning quality, output behavior and credit consumption. Teams should avoid assuming that the largest model is always the right option for routine work.

Approvals and control

Lindy's approval system is important because the product can take real actions. Its current pricing page says activities with external impact wait for approval, including sending email, changing tickets, posting to other channels or publishing documents. This is a practical control for teams that want agentic automation without giving an AI unrestricted authority.

Integrations

Lindy currently advertises more than 1,000 integrations, including Slack, Gmail, Google Calendar, Google Drive, HubSpot, Salesforce, Notion, GitHub, Zendesk, Intercom, Stripe and many others. It also supports any compatible MCP server, extending the platform beyond the listed connectors.

Lindy pricing overview

Lindy has three published self-serve paid plans plus Enterprise. Plus is $29.99 per user per month with 3,000 credits. Pro is $99.99 with 15,000 credits. Max is $199.99 with 35,000 credits. Enterprise uses custom pricing and adds shared usage, bonus credits, dedicated support, audit logs, onboarding and additional compliance controls.

How Lindy credits work

Credits measure the work Lindy performs. The current pricing guide gives broad examples: everyday asks such as summaries, lookups and updates may use roughly 2 to 250 credits; deeper research and support-triage jobs can use 250 to 1,000; and large builds such as complex dashboards, multi-media decks or heavy scheduled workflows can use 1,000 to 2,500.

Every paid seat contributes its monthly allowance to the shared workspace pool. That means one heavy user can consume more than their individual allocation while another uses less. The downside is that credits do not roll over. If the workspace does not use them before the billing reset, they are lost.

Lindy's current site also states that admins can top up usage at $10 per 1,000 credits and set per-person spending caps.

Lindy free trial

Lindy advertises a 7-day free trial, but the eligibility rule matters. New teammates who join through Slack receive a one-time free week before their seat begins billing. Direct signups are billed immediately. Returning teammates do not receive another trial.

This is an important distinction for buyers comparing Lindy with tools that offer a universal no-card trial. A team evaluating Lindy should invite the intended users through Slack if it wants the documented free-week experience.

Lindy rating breakdown

This is a research-based SearchSagar editorial score rather than hands-on testing. Lindy scores well for cross-app capability, Slack-native use, integrations and enterprise controls. Pricing is less straightforward because one credit can represent very different amounts of work, and the trial is conditional rather than universal.

What do Lindy users say?

G2 currently rates Lindy 4.9 out of 5 from 171 reviews. Positive feedback frequently highlights ease of use, no-code agent building, rapid workflow setup, call notes and the ability to automate repetitive tasks. The G2 category summary also surfaces criticism around credit cost, learning curve on sophisticated automations and occasional AI inaccuracies that can require correction.

The review count is large enough to be more informative than a handful of testimonials, but teams should still test Lindy with their own systems and approval requirements. A workflow that looks simple in a demo can become costly if it requires repeated research or computer-use steps.

Security and compliance

Lindy states that customer data is encrypted in transit and at rest, is never sold and is not used to train AI models. Its current security page lists SOC 2 Type II, GDPR, HIPAA and PIPEDA. Enterprise adds identity and governance capabilities including SSO, audit logs and a signed BAA for HIPAA use cases.

Cancellation and refund policy

Lindy lets customers cancel through the account or by contacting the company. Cancellation takes effect at the end of the current paid term, and the workspace remains active through the period already paid. There is no mid-cycle proration.

Lindy's current Terms state that all purchases are non-refundable. That makes representative testing important before expanding a large number of seats.

Lindy alternatives to consider

Relevant approved SearchSagar alternatives include Gumloop, Relevance AI and n8n. Gumloop is better suited to teams that want a more explicit no-code agent and workflow-building environment with unlimited seats on Pro. Relevance AI focuses on no-code AI workforces and multi-agent systems. n8n is attractive to technical teams that want visual automation, code, self-hosting and execution-based pricing.

Related Lindy articles

• Lindy Pricing 2026
• Best Lindy Alternatives
• Lindy product page

Final verdict: is Lindy worth it?

Lindy is worth evaluating when a team wants an AI colleague that operates inside existing communication and business tools rather than another automation system that only a specialist maintains. Slack, meetings, email, recurring routines, computer use and connected-app actions make it useful for a broad range of knowledge work.

The decision comes down to recurring value per credit. A $29.99 Plus seat can be inexpensive if it replaces hours of repetitive work every month, but it can become restrictive if the user's normal job is research-heavy and consumes thousands of credits. Before expanding seats, measure a week of real tasks, record credits per useful outcome and decide whether Plus, Pro or Max matches the workload.