Lindy AI

Lindy AI is a no‑code platform for building custom AI assistants that automate business workflows. It blends the conversational intelligence of large language models with the connectivity of an integration hub, often described as “ChatGPT meets Zapier.” Users without technical expertise can create agents that handle tasks like customer support, medical transcription, sales outreach, or HR coordination. The tool relies on natural language instructions, integrates with over 3,000 apps, and runs continuously, offering a way to streamline operations and reduce manual effort.

• Custom AI Assistants: Build AI-driven agents tailored to specific business processes using plain English, without writing a single line of code.
• Extensive Integration Ecosystem: Connect immediately to 3,000+ internal systems and third‑party applications, covering CRM, communication, EMR, and productivity tools.
• Natural Language Control: Instructions and triggers are defined in natural language, making the platform accessible to non‑technical users.
• Real‑Time Medical Documentation: Transform live clinician‑patient conversations into structured SOAP notes, helping healthcare providers save time on paperwork.
• 24/7 Autonomous Operation: Agents work around the clock, handling inquiries, updating records, and executing workflows without downtime.
• Multi‑Channel Communication: Interact via email, chat, voice, and messaging platforms, all managed through the same assistant.
• No‑Code Workflow Designer: Visually map out multi‑step processes, including conditional logic, actions, and integrations, without programming skills.

1. Sign up and explore templates: Create a free account on the Lindy AI website; browse a library of pre‑built assistants for common tasks like customer support or meeting scheduling.
2. Define your assistant’s role and triggers: Use natural language to describe what the AI should do, when it should act (e.g., “When a new email arrives from a customer…”), and which integrations it needs.
3. Connect required tools and apps: Authorize and link the relevant apps—such as Gmail, Slack, HubSpot, or an EMR system—from the 3,000+ available integrations.
4. Configure actions and logic: Set up steps like “Search knowledge base, draft a reply, and assign a tag.” Add conditions, delays, or escalation rules through the no‑code designer.
5. Test and refine: Run simulations with sample inputs, review the assistant’s output, and tweak instructions or integrations until the behaviour matches expectations.
6. Deploy and monitor: Turn on the assistant; monitor its activity in the dashboard, review logs, and continuously improve based on real‑world performance.

Lindy AI offers a free trial with limited features so you can test core capabilities. After the trial, it moves to subscription‑based tiers (exact pricing is not listed publicly at the time of writing; interested users are encouraged to join the waitlist for plan details). Typically, there is a starter plan for individuals or small teams needing basic automation, a professional plan that unlocks higher usage limits and priority support, and an enterprise tier with custom volume, advanced security, and dedicated onboarding. For current pricing, always check the official Lindy AI website.

• Web app: Full no‑code builder, dashboard, and monitoring interface accessible through any modern browser.
• API access: Custom endpoints and developer tools to integrate Lindy AI assistants into bespoke applications or data pipelines.
• Native integrations: Direct connections to tools like Slack, Teams, Gmail, HubSpot, Salesforce, and EMR systems without writing glue code.
• Mobile experience: While not a dedicated mobile app, assistants can be reached and managed via mobile‑friendly chat interfaces (e.g., Slack, SMS, WhatsApp) connected through integrations.

• Start with a template to understand how triggers and actions work, then customize it gradually rather than building from scratch.
• Write clear, specific natural language instructions—include examples, edge cases, and constraints to reduce ambiguity and improve accuracy.
• Test with a small subset of users or data before full rollout to catch misconfigurations, integration errors, or unexpected responses.
• Leverage conditional logic to handle different scenarios (e.g., VIP customers vs. general inquiries) rather than creating separate assistants.
• Monitor and iterate regularly: review conversation logs, identify patterns where the assistant struggles, and refine instructions accordingly.
• Combine with human hand‑off protocols for sensitive situations—set up seamless escalation so that a human takes over when needed.

• Non‑technical business users who want to automate repetitive workflows without waiting for engineering resources.
• Healthcare professionals and clinics looking for an AI scribe to reduce documentation burden and improve clinical efficiency.
• Customer support leaders aiming to cut response times and offload tier‑1 tickets with always‑on conversational AI.
• HR and recruiting teams seeking to streamline resume screening, interview scheduling, and onboarding communications.
• Sales and marketing professionals who need to automate CRM updates, lead enrichment, and follow‑up cadences.
• Small and mid‑sized businesses that need enterprise‑grade automation but lack large development teams.