Lindy.ai Review: Slack Teammate, Meetings and AI Automation

Lindy.ai now presents itself less like a toolbox for constructing isolated agents and more like an AI teammate that sits inside a company's daily work. The new center of gravity is Slack: each employee gets a private Lindy in direct messages, while the team shares a Lindy in approved channels. The same system connects to meetings, email, calendars, documents, customer systems, analytics, iMessage, a browser interface, and more than 1,000 integrations.

That is a meaningful repositioning. Older Lindy records describe a no-code agent builder with inexpensive Starter and Pro plans. The agent builder still exists, along with adaptive agent steps, phone calls, knowledge bases, computer use, integrations, code, HTTP requests, conditions, loops, and human approval. But the current product asks buyers to think about a broader role: one assistant that knows approved company context, produces useful artifacts, runs recurring work, and completes handoffs across systems.

The pricing has changed just as much as the product. Lindy now sells Plus at $29.99 per user per month, Pro at $99.99, and Max at $199.99, with Enterprise available through sales. Work is metered through pooled credits rather than a simple number of agent runs. This makes a fresh evaluation essential for anyone relying on an older review.

### The shared teammate starts in Slack

Lindy Teammate is designed to be installed by an administrator and used through mentions in channels or direct messages. In a shared channel, Lindy can answer a question using approved team sources, prepare a report, build a deck, investigate a metric, or run a multi-step operational handoff. In a direct message, a user can work with personal email, calendar, meetings, and preferences without exposing that context to the rest of the team.

Lindy says it can see public channels after it is added to the workspace, private channels only when a channel manager invites it, and no archived channels or personal direct messages. The company also says personal context does not appear in shared-channel work. These boundaries are valuable, but they still need to be tested with the organization's real Slack design, guest accounts, private projects, exports, and connected systems.

The strongest use case is not another conversational answer. It is a task that crosses systems. Lindy's own example of a deal-won handoff updates HubSpot, writes a Notion document, posts to a customer-success channel, books a kickoff, and prepares a welcome email. A teammate can also ask why a number changed and have Lindy inspect analytics, code, tickets, and meetings before returning an explanation and a proposed next action.

This is where the product can save real time, but it is also where mistakes have consequences. A wrong answer in chat can be corrected. A wrong customer record, channel post, meeting invitation, or email can create operational damage. The current product and pricing pages say that anything with outside impact waits for a named approver, while read-only lookups from approved sources can run without approval. WhatAI recommends verifying that behavior connector by connector and assigning accountable approvers before enabling any cross-tool write.

### Meetings become part of company memory

Lindy can join Google Meet, Zoom, and Microsoft Teams as a named participant, record and transcribe the conversation, prepare notes, and store meetings in searchable folders. The folder owner can keep a meeting private, share it with selected people, or expose it to the team. Lindy can then use approved recordings for meeting preparation, recall, follow-up drafts, reports, or questions about past decisions.

The practical benefit is continuity. A salesperson can ask what a customer said about pricing across several calls. A project lead can recover the decision behind a changed deadline. A returning employee can catch up on a shared series of meetings without watching every recording. Lindy can also send a pre-meeting brief using prior correspondence and previous calls, then draft the follow-up when the current meeting ends.

The risk is that meeting content is unusually sensitive and conversational. People speak speculatively, mention employees or customers, and change their mind. A transcript can be wrong, a summary can flatten nuance, and a folder can be shared too broadly. Teams should define which meetings may be recorded, how participants are notified, who can share a folder, how long recordings remain, and which decisions must be verified against the source before Lindy reuses them.

### Skills, routines, and editable memory make the system persistent

The current Lindy product lists more than 40 skills for work such as research, data analysis, dashboards, decks, Slack catch-ups, and other common tasks. Teams can also teach a new skill by showing or describing a procedure. Lindy is intended to select the appropriate skill when a later request calls for it.

Routines handle recurring work. A team can schedule a daily brief, a Monday metrics report, a Friday follow-up, or an alert that watches for a defined condition. This moves Lindy from request-and-response work into ongoing operations. It also raises the cost of a weak instruction because the mistake can repeat every day or week.

Memory is presented as editable files rather than a hidden model state. Users can inspect what Lindy remembers, correct it, or remove a stale preference. This transparency is a sensible design, but only if someone actually reviews the files. A wrong target, customer priority, writing rule, or process note can influence many later outputs. Important memories need an owner, a source, and an expiry or review date.

The safest implementation is to build one skill and one routine from an existing documented process. Start in draft-only mode, test normal and unusual cases, compare the result with manual work, and inspect the credit cost. Do not teach an informal habit and treat it as company policy simply because the AI can repeat it.

### The personal assistant remains part of the product

Lindy's February 2026 Assistant launch expanded the personal workflow around inboxes, calendars, meetings, and text messaging. The assistant can label incoming email, surface urgent items, draft replies in a user's style, prepare follow-ups for unanswered messages, schedule meetings, generate preparation briefs, capture meeting notes, and deliver a daily briefing.

Users can reach the same assistant in Slack, the browser, Gmail through a Chrome extension, and iMessage or SMS. Text access is useful because a user can delegate a task from a phone without opening another dashboard. It also means account linking and identity deserve attention. A text instruction that changes a calendar or prepares an external message should still follow the same approval and recipient checks as a browser request.

The key wording on current Lindy pages is that drafts remain under the user's control. That makes email a reasonable pilot: connect one low-risk inbox, label new messages, draft but do not send replies, and measure false labels, incorrect recipients, invented claims, poor tone, and correction time. Sensitive HR, legal, medical, financial, security, and executive correspondence should remain outside the first rollout.

### Custom agents, phone calls, and computer use add power and risk

Lindy still supports the deeper automation platform behind its teammate. A workflow can use triggers, actions, conditions, loops, agent steps, knowledge bases, human-in-the-loop checks, code, HTTP calls, webhooks, timers, and agent-to-agent messages. Agent steps let a model choose tools and continue until an exit condition is met, while fixed actions and conditions provide more predictable logic for known branches.

Phone agents can handle inbound or outbound calls for support, qualification, booking, reminders, surveys, and other defined tasks. Lindy documents support for more than 30 languages, call transfers, concurrent calls, and more than 100 countries, although availability and plan entitlements should be confirmed for the intended account. A production voice agent needs to identify itself, provide required recording notice, follow consent and telemarketing rules, collect minimal data, respect a stop request, and transfer uncertainty or complaints to a person.

Computer use lets an agent operate a website when an API is unavailable. A persistent computer can retain sessions, files, cache, and logged-in state so the agent can repeat a task. Lindy also supports dedicated computers and incognito sessions. This is useful for a legacy portal, but credentials and browser sessions expand the security boundary. Use a dedicated account and computer for each sensitive workflow, grant the minimum permission, prevent purchases and destructive actions, and require approval before data is submitted or changed.

MCP servers and more than 1,000 listed integrations broaden the surface further. The number alone does not prove a workflow will work. Buyers should verify the precise triggers, actions, fields, rate limits, authentication model, data access, error behavior, and approval support for every required system.

### Current pricing is per user and credit based

As verified on August 16, 2026, Plus costs $29.99 per user per month and includes 3,000 credits per user. Pro costs $99.99 and includes 15,000 credits. Max costs $199.99 and includes 35,000 credits. Enterprise is custom and adds features including SSO, SCIM, audit logs, dedicated support, onboarding, and HIPAA support with a signed business associate agreement.

Each seat's credits are added to one workspace pool. Lindy describes everyday asks as roughly 2 to 250 credits, deep work as 250 to 1,000, and big builds as 1,000 to 2,500. The actual amount depends on the task and model. Admins can limit how much an individual draws from the pool.

Included plan credits reset at the start of each billing cycle and do not roll over. Purchased top-ups are the exception: current documentation says they carry over and do not expire. Top-ups cost $10 per 1,000 credits. If the workspace runs out, Lindy says credit-using actions pause rather than generating an automatic surprise bill. That protects spending, but it can also stop a routine or operational workflow at an inconvenient time.

There is no normal permanent free plan on the current grid. A new teammate who joins through Slack receives a one-time seven-day trial before the seat is billed. Direct signups, existing Lindy account holders, and returning teammates are billed immediately. Anyone who uses or mentions Lindy takes a seat, so administrators need to watch trial conversion and remove accidental seats before the paid cycle.

The best pricing test is a two-week pilot with representative tasks. Record credits by workflow, the value of the output, the time spent reviewing it, and the number of failed or repeated actions. A $29.99 seat can become poor value if one useful job consumes most of the allowance, while a more expensive seat can be justified if recurring work is reliable and genuinely replaces manual effort.

### Security claims do not replace workflow governance

Lindy publishes SOC 2 Type II, GDPR, HIPAA, and PIPEDA information and says data is encrypted in transit and at rest, never sold, and never used to train AI models. Enterprise adds identity controls, audit logs, and a signed BAA for applicable healthcare use. These are meaningful vendor commitments. They do not make every connected workflow compliant.

A buyer still needs to review the selected models, subprocessors, retention, deletion, geographic requirements, user roles, meeting consent, personal and shared connections, MCP servers, computer sessions, phone recordings, and every external destination. Healthcare teams should obtain the signed BAA and confirm the exact services and data flows it covers before sending protected health information.

### WhatAI verdict

Lindy is now a stronger fit for Slack-centered teams than the older agent-builder description suggests. Its appeal is the combination of shared company knowledge, personal assistance, meeting memory, reusable skills, scheduled routines, artifact creation, and cross-tool execution in one system. The ability to keep personal context separate while allowing a shared teammate to work from approved company sources is particularly important.

The tradeoff is operational complexity and cost. Every active user takes a seat, deeper work can consume credits quickly, and the platform can access many systems through integrations, MCP, phone, and computer use. The more capable Lindy becomes, the more important approval design, source governance, credential isolation, evaluation, and monitoring become.

WhatAI recommends starting with read-only answers, meeting preparation, or draft-only reporting before enabling writes. If Lindy consistently returns sourced work that people approve with few corrections, expand one capability at a time. If teams spend more time correcting artifacts, auditing access, or managing the credit pool than the workflows save, narrow the deployment instead of adding more seats.

WhatAI Decision Box

Lindy.ai now leads with a Slack-native AI teammate that can answer questions from approved company knowledge, build artifacts, run cross-tool work, attend meetings, and execute scheduled routines. Each user receives private assistance while teams can use shared context in approved channels.

Lindy costs $29.99 per user monthly for Plus with 3,000 credits, $99.99 for Pro with 15,000 credits, and $199.99 for Max with 35,000 credits. Enterprise is custom. Credits pool across the workspace, plan credits reset without rollover, purchased top-ups carry over, and Lindy says actions with outside impact wait for approval.

Choose Lindy when a team works heavily in Slack and wants one assistant to connect company knowledge, meetings, email, scheduling, reports, recurring routines, custom agents, and more than 1,000 integrations. A simpler automation tool may be better for deterministic flows, very low usage, individual chat only, or teams unwilling to grant broad business-system access.

Use Cases

Pricing varies by plan and region — see current pricing.

Plan features change — last updated: 2026-08-16.

Lindy.ai Community Discussions

Explore community discussions. Ask and answer questions on Lindy.ai to grow and learn together.

Lindy.ai Pros & Cons

How to Get Results with Lindy.ai: Step-by-Step Workflow

1. Choose one bounded pilot

   Start with one team and one low-risk workflow such as a daily brief, meeting preparation, read-only reporting, or draft-only inbox triage. Define success, owners, excluded data, and actions Lindy must never take.

2. Estimate seats and credits

   Count everyone who will mention or use Lindy, then estimate everyday asks, deep work, big builds, meetings, routines, and agent tasks. Select Plus, Pro, Max, or Enterprise using the current official credit grid.

3. Set up the workspace

   Install Lindy in Slack, assign administrators, connect each user correctly, set per-person credit limits, define approved channels, and confirm which trial users will convert into billed seats.

4. Connect minimal sources

   Authorize only the email, calendar, documents, meetings, CRM, and analytics sources required for the pilot. Use personal versus team connections deliberately and confirm read, write, sharing, and deletion permissions.

5. Define privacy boundaries

   Document which Slack channels, meetings, folders, inboxes, records, and data classes Lindy may access. Confirm that personal context cannot appear in shared outputs and establish participant notice for recorded calls.

6. Configure approval gates

   Require named approval before email sends, calendar changes, CRM writes, ticket updates, channel posts, document publication, external calls, purchases, deletions, or any other action with outside impact.

7. Teach one reusable skill

   Turn an existing, documented team procedure into a concise skill with inputs, approved sources, decision rules, expected output, prohibited actions, uncertainty handling, and a human owner.

8. Test representative cases

   Run normal, ambiguous, incomplete, duplicate, adversarial, and failure cases. Check source grounding, permissions, wrong-recipient risk, hallucinations, retries, loops, approvals, credit use, and recovery after connector errors.

9. Keep actions in draft mode

   For the first stage, let Lindy prepare reports, decks, tickets, replies, and updates without sending or publishing them. Compare drafts with the team's manual standard and record correction time.

10. Review memory and routines

    Inspect editable memory files, shared context, scheduled routines, meeting folders, and saved skills. Remove stale, private, unsupported, or overly broad information before it influences later work.

11. Measure value and cost

    Track credit consumption, successful tasks, failed actions, time saved, review time, correction rate, meetings captured, approval delays, and whether people actually use the outputs.

12. Expand with controls

    Add teams, systems, phone calls, computer use, custom agents, or MCP servers one at a time. Assign owners, isolate credentials, update the risk review, and keep a rollback path for every new capability.

Lindy.ai Gotchas and Limits to Know Before You Start

• The current pricing page does not list a permanent free plan; the seven-day trial is limited to eligible new teammates joining through Slack.
• Anyone who uses Lindy takes a paid seat, including people who join a workspace or mention Lindy in Slack after the eligible trial.
• Included credits do not roll over and expire at the billing reset; only purchased top-up credits carry over under the current documentation.
• Credit use varies by task size and model, so a small number of deep research or artifact-building jobs can consume far more than routine lookups.
• A shared credit pool can be exhausted by a few heavy users unless admins configure per-person allocations and monitor usage.
• Lindy pauses credit-using work when the pool runs out, which prevents surprise charges but can interrupt scheduled or customer-facing workflows.
• External actions should wait for approval, but teams still need to test each integration and ensure approvers understand the full effect of a change.
• Source-grounded answers can still omit context, misread data, use stale records, or combine sources incorrectly.
• Personal and shared context must be configured carefully to prevent private email, meetings, or memory from appearing in team outputs.
• Meeting recording requires participant notice, appropriate consent, retention rules, sharing controls, and compliance with local law and contracts.
• Editable memory improves continuity but can preserve a wrong assumption or outdated policy until someone reviews it.
• Scheduled routines can repeat an error at scale if the source, prompt, recipient, or approval rule changes.
• Computer use can retain website sessions, files, and credentials; dedicated computers and least privilege reduce cross-agent exposure.
• Incognito computer sessions reduce persistence but may require more manual authentication and still need action boundaries.
• Phone agents need disclosure, consent, call-recording rules, opt-out handling, transfer paths, language testing, and human escalation.
• Custom agents and adaptive agent steps cost more credits and are less predictable than fixed actions and conditions.
• MCP servers, webhooks, code, HTTP requests, and custom integrations can bypass the safety assumptions of a simple no-code workflow.
• Integration counts have varied across Lindy materials; buyers should validate the exact trigger, action, field, rate limit, and authentication method they need.
• Marketing compliance badges do not make every workflow compliant; plan, contract, BAA, data flow, subprocessors, configuration, and user behavior matter.
• The current product blends personal-assistant, shared-teammate, meeting, and custom-agent features, so entitlements and behavior can differ by surface.

Which Lindy.ai Feature Fits Your Use Case

Starter Prompts for Lindy.ai

What is Lindy.ai?

Lindy.ai is an AI teammate and no-code agent platform. It works in Slack and other channels, answers from approved company sources, creates artifacts, attends meetings, runs routines, and takes multi-step actions across connected tools with approval controls.

Is Lindy still an AI agent builder?

Yes, but that is no longer the complete description. Lindy still documents custom agents, workflows, conditions, agent steps, knowledge bases, computer use, and phone calls, while its current product leads with a shared Slack-native teammate and personal assistant features.

How much does Lindy cost?

As verified on August 16, 2026, Plus is $29.99 per user monthly, Pro is $99.99, and Max is $199.99. Enterprise pricing is custom. Teams can also buy shared top-up credits at $10 per 1,000 credits.

Does Lindy have a free plan?

The current pricing page does not list a standard permanent free plan. A new teammate who first joins through Slack receives a one-time seven-day trial. Direct signups and people with an existing Lindy account are billed immediately when they take a seat.

How do Lindy credits work?

Credits measure the work Lindy performs, with larger or more complex tasks using more. Every paid seat adds credits to one shared workspace pool. Included credits reset each billing cycle and do not roll over. Purchased top-up credits carry over and do not expire.

What happens when a team runs out of Lindy credits?

Lindy says credit-using actions pause and the team is notified rather than receiving an automatic surprise bill. An admin can wait for the cycle reset, upgrade the plan, or buy more shared credits.

What can Lindy see in Slack?

Lindy says it can access public channels after installation, private channels only when a channel manager invites it, and no archived channels or personal DMs. Personal email, calendar, meeting, and DM context is kept separate from shared channel responses.

Will Lindy send messages or change records without approval?

Lindy's current pricing and product pages say actions with outside impact wait for approval, including sending email, updating tickets, posting to another channel, and publishing documents. Read-only lookups from approved sources can happen without approval. Test each workflow rather than assuming every connector behaves identically.

Can Lindy record meetings?

Yes. Lindy can join Google Meet, Zoom, and Microsoft Teams as a visible named participant, then record, transcribe, summarize, and organize meetings. Meeting folders remain private unless the owner shares them with specific people or the team.

Can Lindy manage email and scheduling?

Yes. Lindy documents inbox labeling, urgent alerts, reply drafts, follow-up drafts, meeting scheduling, preparation briefs, meeting notes, and daily briefs. Users should keep approval and review in place for messages and calendar changes.

Can Lindy make and receive phone calls?

Yes. Lindy documents inbound and outbound voice agents with natural voices, more than 30 languages, transfers, concurrent calls, and coverage across more than 100 countries. Availability, concurrency, languages, telephony charges, consent rules, and plan entitlements need verification for the intended deployment.

What is Lindy computer use?

Computer use lets an agent interact with websites and browser interfaces when an API is unavailable. Computers can retain sessions and files, use a dedicated agent environment, or run incognito. Persistent sessions can contain credentials, so least privilege and isolated computers are important.

How many integrations does Lindy support?

Lindy's current homepage states more than 1,000 integrations and support for MCP servers. Earlier Lindy materials list different totals because partnerships and counting methods changed. Confirm the exact actions, triggers, permissions, and limits of each required connector.

Does Lindy use customer data to train AI models?

Lindy states that customer data is encrypted, never sold, and never used to train AI models. Security review should still cover subprocessors, connected systems, retention, roles, logs, model selection, deletion, and the Enterprise contract.

Is Lindy HIPAA compliant?

Lindy publishes HIPAA, SOC 2 Type II, GDPR, and PIPEDA information. Its current pricing documentation places HIPAA support with a signed BAA on Enterprise. Healthcare buyers should obtain the BAA and verify the exact product, data, integration, retention, and access scope before use.

Does Lindy have an affiliate program?

Yes. The official Lindy creator and affiliate program currently advertises 20 percent per sale for one year and 20 percent of a referred partner's commission for one year, plus eligible content bounties. Applicants should check current terms, country availability, attribution, and payout rules.

Related AI in Business Tools

Explore the Network