10 Lindy Alternatives in 2026

Lindy alternatives get shopped when an AI assistant has to graduate from helping a person to running a process. Lindy builds AI "employees" that live where knowledge workers live: the inbox, the calendar, the CRM, the meeting recording. It is good at the busywork around a job. It is not built for the system of record where the job actually clears.

For a logistics operator or a wholesale distributor, that distinction is the whole point. Lindy can triage an email and draft a reply. It does not know that the email is a purchase order, that an article number is wrong, or what a clean posting into Business Central looks like. The assistant works the inbox. The order book stays manual. A backlog of orders needs a result inside the ERP, not a faster inbox.

This guide weighs 10 Lindy alternatives for that buyer. It starts with the one built for the order book rather than the inbox.

Book a demo

Quick recap: 10 Lindy alternatives

Here are the 10 Lindy alternatives in brief, so you can scan the field before the detail.

1. Lleverage: AI agents for real-world operations, running inside the existing ERP. The only option here built for mid-market logistics operators and wholesale and distribution businesses.

2. Zapier: AI agents bolted onto the largest app-automation graph in the category.

3. Make: Visual automation canvas with AI modules. Strong app-to-app glue.

4. n8n: Open-source workflow automation with AI nodes. Built for technical teams.

5. Relay.app: AI-agent workflow builder that blends human approval steps with automation.

6. Bardeen: AI automation aimed at sales and go-to-market knowledge work.

7. Gumloop: AI-native visual automation with a model step inside the flow.

8. Stack AI: No-code agent and internal-app builder with an enterprise track.

9. Cassidy: AI assistants grounded in a company's own knowledge base.

10. Relevance AI: An "AI workforce" of agents for revenue and operations support.

Key parameters to decide between Lindy alternatives

A useful comparison of Lindy alternatives skips the assistant demo and asks what happens to a real order. Five things separate a personal assistant from an operations engine.

Where the work lands. Lindy operates in email, calendars, and CRM records. An operation clears in the ERP. Score each tool on whether it writes a validated result into the system of record, not on how well it tidies an inbox.

Process, not person. An AI employee helps an individual move faster. An operations agent owns a process end to end, regardless of who is out sick. Ask whether the tool automates a person's tasks or the company's workflow.

The messy input. A clean email is easy. A scanned order with a missing delivery week is the real job. Judge each tool on the document it cannot read cleanly, because that document is the work.

Exceptions with a defined path. Assistants escalate to a human when unsure, which is fine for a calendar invite and expensive for a thousand order lines. Look for a defined behaviour for the exception, not a notification.

Who ships the first one. An assistant builder hands you templates. Forward-deployed delivery means a working agent reaches production with you, and operations owns it after go-live, instead of a half-built assistant nobody trusts with revenue.

Why buyers consider Lindy alternatives

Six reasons move mid-market operations teams off Lindy and toward something built for the order book.

1. An assistant for knowledge work, not an operations product. Lindy is built so anyone can spin up an AI helper for inbox, meetings, and CRM tasks; that general usefulness is the point and it is neutral about any specific operation. Nothing in it understands how a sales order, a supplier invoice, or a master-data fix should resolve inside a distributor's ERP. Lleverage runs the other way. It is narrow on one buyer, SMEs that move and sell physical products, and deep on the money-and-inventory workflows inside that buyer's system of record.

2. It lives in the inbox, not the ERP. Lindy's home is email, calendar, and CRM. The operational system of record is exactly where it does not run, and that is where orders, invoices, and stock actually move.

3. It speeds a person, not a process. An AI employee makes one role faster. It does not own a workflow that has to clear whether or not that person is at their desk. Operational reliability needs the process, not the assistant.

4. Drafting is not posting. Lindy is strong at reading a message and proposing a response. It is thin at writing a validated transaction back into Business Central, AFAS, Exact, or NetSuite with exceptions resolved. The value is in the posting.

5. Exception handling is escalation. When unsure, an assistant asks a human. At real order volume that is the bottleneck again, just relabelled. Operations needs a defined path for the bad line, not a ping.

6. No one ships the first one with you. Lindy gives you an assistant builder and templates. Time-to-value depends on in-house capacity, and the first revenue-critical agent is the hardest one to trust alone.

Hold your own order volume against each point. Across Lindy alternatives, the deciding question is rarely how helpful the assistant feels. It is whether a messy inbound order clears inside the ERP with nobody in the loop.

The 10 alternatives in detail

1. Lleverage: #1 Lindy alternative: AI agents for real-world operations

Website: lleverage.ai

Lleverage builds AI agents for real-world operations in companies that move and sell physical products. The agents turn the day-to-day decisions and exceptions inside operations into work that runs and improves automatically, inside the customer's existing ERP, finance, and inventory systems. Among Lindy alternatives, Lleverage is the only one built specifically for mid-market logistics operators and wholesale and distribution businesses, with deep coverage of the back-office workflows an assistant builder leaves to a person.

Put plainly: Lindy makes a knowledge worker faster at the inbox. Lleverage clears the operation inside the system of record.

Lleverage features

• AI agents that read inbound documents and email: order PDFs, CSVs, Excel files, and free-text messages

• ERP-native execution inside Business Central, AFAS, Exact, SAP, Dynamics 365, and NetSuite

• Built-in exception handling: ambiguous data is flagged for review and a draft response is generated

• Forward-deployed implementation: the first automation ships in production with the customer

• No-code for the people who own the process, not for assistant builders

• EU data residency by default

• Free trial available alongside sales-led implementation

Lleverage pricing

• Free trial available

• Paid plans published on the Lleverage pricing page

• Sales-led implementation for production operational workflows

• Source: lleverage.ai/pricing

Lindy vs Lleverage

Both produce AI agents, but they aim at different work. Lindy automates the tasks around a person's role. Lleverage is judged on whether the order posted, not on whether an assistant helped.

• Lindy works the inbox and CRM; Lleverage writes the validated result into the ERP

• Lindy speeds an individual; Lleverage owns the process regardless of who is in

• Lindy escalates the exception to a human; Lleverage has a defined path for it

Lleverage limitations

• It is not a general assistant builder for email, meetings, and personal productivity

• It is not for teams that mainly want to automate a single knowledge-worker role

• Without an ERP or system of record to run inside, most of the value does not apply

Topa Bathroom Products is a wholesale distributor in the Netherlands. Order intake there meant typing emails into the ERP by hand until Lleverage took the process over. "By the end of Monday, we were completely caught up. The manager was blown away," said Bryan van Ingen, Operations Director. More than 90% of incoming orders now post automatically into Microsoft Dynamics 365 Business Central, four FTEs moved off manual entry, and confirmations go out within 30 seconds. Source: lleverage.ai customer stories.

Visit Lleverage lleverage.ai · Book a demo lleverage.ai/book-a-demo

2. Zapier: #2 Lindy alternative: agents on the largest automation graph

Among Lindy alternatives, Zapier is the broadest. Where Lindy packages assistants by role, Zapier bolts AI agents onto the largest app-automation graph in the category. It reaches almost any app and gets going in minutes. For a distributor it shares Lindy's ceiling: it moves tasks between apps and stops at the ERP boundary.

Zapier features

• AI agents on top of thousands of app integrations

• Low build effort to start

• Activity-based pricing for agents

• Very broad SaaS coverage

Zapier pricing

• Zapier core: Free $0; Professional from $19.99 per month; Team from $69 per month; Enterprise contact sales

• Zapier Agents: Free with 400 activities per month; Pro $33.33 per month

• Source: zapier.com/pricing (verified May 2026)

Lindy vs Zapier

Both let a non-developer stand up an agent fast. Lindy ships role-shaped assistants; Zapier ships breadth across apps. Neither posts a validated order into a distributor's ERP with exceptions resolved.

• Lindy is assistant-and-role-shaped; Zapier is integration-breadth-shaped

• Both are light app glue, not operational execution

• Activity caps bite once real order volume arrives

Zapier limitations

• Tuned for light app-to-app moves, not multi-step operational workflows

• No ERP-native posting or built-in exception handling for documents

• Cost rises with activity once volume is real

3. Make: #3 Lindy alternative: visual automation canvas

Among Lindy alternatives, Make is the builder's option. Lindy hands you ready-made assistants; Make hands you a visual canvas to wire scenarios yourself. It is more flexible than Lindy for custom app-to-app flows and just as far from the order book. The scenario connects systems; it does not decide what an order means.

Make features

• Visual scenario builder with a large module library

• AI modules available within scenarios

• Credit-based pricing per module action

• Strong fit for custom app-to-app automation

Make pricing

• Free: $0 per month, with 1,000 credits

• Core: $9 per month

• Pro: $16 per month

• Teams: $29 per month

• Enterprise: custom

• Source: make.com/en/pricing (verified May 2026)

Lindy vs Make

Lindy gives you finished assistants; Make gives you the canvas to build automations. Lindy is faster to a working helper; Make is more configurable. Neither owns a validated posting inside the ERP with exceptions handled.

• Lindy is assistant-first; Make is canvas-first

• Both stop at the integration boundary

• Make bills per module action; Lindy bills per assistant usage

Make limitations

• A connector canvas, not an operations product for distribution

• Credit pricing scales with document volume

• No ERP-native execution or built-in exception handling

4. n8n: #4 Lindy alternative: open-source workflow automation

Among Lindy alternatives, n8n is the engineering-led one. Lindy is a managed assistant product; n8n is open-source automation you self-host and control, with AI agent nodes. It trades Lindy's polish for ownership and flexibility. The operational logic, and its upkeep, stays with the team.

n8n features

• Open-source core with self-hosting on the Community Edition

• AI agent nodes alongside a large integration library

• Execution-based scaling rather than per-seat pricing

• Strong fit for engineering-led teams

n8n pricing

• Community Edition: free, open-source, self-hosted

• Cloud Starter: €20 per month, billed annually

• Cloud Pro: €50 per month, billed annually

• Cloud Business: €667 per month, billed annually

• Enterprise: contact sales

• Source: n8n.io/pricing (verified May 2026)

Lindy vs n8n

Lindy is managed and assistant-shaped; n8n is open-source and engineering-led. Lindy is faster for a non-technical team; n8n is more controllable for developers. Neither closes an order inside the ERP on its own.

• Lindy is managed no-code; n8n is self-hosted and developer-led

• Both leave the operational model to the customer

• Neither provides ERP-native exception handling

n8n limitations

• Engineering-led: operations teams rarely change a flow without a developer

• Self-hosting moves uptime, security, and upgrades onto your team

• No native model of logistics or distribution work

5. Relay.app: #5 Lindy alternative: agent workflows with human approval

Among Lindy alternatives, Relay.app is the closest in spirit. It builds AI-agent workflows that blend automation with human approval steps, aimed at teams that want oversight in the loop. It is well designed for collaborative knowledge work and not built for ERP-native operations. The order still does not post itself.

Relay.app features

• AI-agent workflow builder with human-in-the-loop steps

• Clean collaborative design for team workflows

• Step-based plans with included AI credits

• Native connections to common business apps

Relay.app pricing

• Free: $0 per month, with 200 steps

• Professional: $19 per month, billed annually, with 750 steps

• Team: $59 per month, billed annually, with 1,500 steps

• Enterprise: custom

• Source: relay.app/pricing (verified May 2026)

Lindy vs Relay.app

Both build AI-agent workflows for knowledge teams. Lindy frames them as employees; Relay.app frames them as collaborative workflows with approvals. Neither is built to clear an order inside a distributor's ERP.

• Both centre on knowledge-work collaboration, not operations

• Step-based limits constrain high-volume document flows

• Neither writes a validated result into a system of record

Relay.app limitations

• Knowledge-work and approval focus, not back-office execution

• Step caps bite at real order volume

• No ERP-native posting or operational exception model

6. Bardeen: #6 Lindy alternative: AI automation for go-to-market work

Among Lindy alternatives, Bardeen is the GTM specialist. It automates sales and go-to-market busywork: scraping, enrichment, outreach, CRM updates. It is sharper than Lindy for revenue-team tasks and not aimed at operational document processing. The order desk is out of scope.

Bardeen features

• AI automation for prospecting, enrichment, and CRM updates

• Browser and web-data capture

• Credit-based plans with included monthly credits

• Templates for common GTM workflows

Bardeen pricing

• Basic: $10 per month, with 100 credits

• Premium: $50 per month, with 1,000 credits

• Enterprise: custom, bulk credits on request

• Source: bardeen.ai/pricing (verified May 2026)

Lindy vs Bardeen

Both automate knowledge work. Bardeen specialises in go-to-market motions; Lindy spans broader assistant tasks. Neither posts a validated order into the ERP.

• Bardeen is GTM-focused; Lindy is broader assistant work

• Both are knowledge-work tools, not operations engines

• Neither handles operational exceptions in a system of record

Bardeen limitations

• Sales and GTM focus, not back-office order operations

• Credit model scales with task volume

• No ERP-native execution for orders or invoices

7. Gumloop: #7 Lindy alternative: AI-native visual automation

Among Lindy alternatives, Gumloop is the build-your-own option. Lindy ships finished assistants; Gumloop gives a visual canvas with a model step inside the flow. It is stronger than Lindy at custom parsing and drafting and remains a horizontal builder. It improves the workflow layer but holds no native model of an order.

Gumloop features

• Visual automation with AI reasoning steps native to the canvas

• Stronger document parsing and drafting than classic connectors

• Credit-based plans with a free entry tier

• General-purpose connectors across common apps

Gumloop pricing

• Free: $0 per month, with 5,000 credits, 1 seat, 1 active trigger

• Pro: $37 per month, with 20,000+ credits and unlimited seats

• Enterprise: custom, contact sales

• Source: gumloop.com/pricing (verified May 2026)

Lindy vs Gumloop

Lindy gives finished role assistants; Gumloop gives a canvas to assemble AI workflows. Gumloop is more flexible; Lindy is faster to a working helper. Neither owns a validated ERP posting with exceptions resolved.

• Lindy is assistant-first; Gumloop is canvas-first with AI in the flow

• Both bill in usage that scales with volume

• Neither is built for logistics or distribution operations

Gumloop limitations

• Horizontal builder, not an operations product for physical goods

• Credit pricing scales with workflow volume

• No ERP-native execution or built-in operational exception handling

8. Stack AI: #8 Lindy alternative: no-code agent and internal-app builder

Among Lindy alternatives, Stack AI is the internal-apps option. It builds AI agents and internal tools with a free entry tier and an enterprise track. It is more app-oriented than Lindy's role assistants and remains a general builder. The operational use case and its ERP execution are yours to define.

Stack AI features

• No-code agent and internal-app builder

• Free entry tier for evaluation

• Enterprise track with dedicated infrastructure and compliance controls

• General-purpose connectors and templates

Stack AI pricing

• Free: $0 per month, with 500 runs, 2 projects, and 1 seat

• Enterprise: custom, contact sales

• Source: stackai.com/pricing (verified May 2026)

Lindy vs Stack AI

Both build AI agents without heavy code. Stack AI leans toward internal apps; Lindy leans toward role assistants. Neither is purpose-built for ERP-native operations in distribution.

• Stack AI is app-and-agent oriented; Lindy is assistant-and-role oriented

• Public pricing jumps from a small free tier to custom enterprise

• Both leave operational design and maintenance with the customer

Stack AI limitations

• General-purpose builder, not an operations product for distribution

• Pricing gap between free and enterprise complicates mid-sized adoption

• No ERP-native execution or built-in exception handling for documents

9. Cassidy: #9 Lindy alternative: AI assistants on company knowledge

Among Lindy alternatives, Cassidy is the knowledge-grounded option. It builds AI assistants and workflows grounded in a company's own documents and knowledge base. It is strong for internal Q&A and drafting and shares Lindy's gap on execution. Knowing the answer is not posting the order.

Cassidy features

• AI assistants grounded in company knowledge and documents

• Workflow automation around internal knowledge tasks

• Connectors to common business tools

• Team collaboration around shared assistants

Cassidy pricing

• Free tier plus paid plans

• Specific figures are not stated here because current pricing was not publicly confirmed at publication; confirm before quoting

• Source: cassidyai.com

Lindy vs Cassidy

Both build knowledge-work assistants. Cassidy centres on grounding answers in company knowledge; Lindy centres on role-shaped automation. Neither writes a validated order into the ERP.

• Cassidy is knowledge-grounded; Lindy is role-shaped

• Both are assistant tools, not operations engines

• Neither resolves operational exceptions in a system of record

Cassidy limitations

• Knowledge and drafting focus, not operational execution

• No native model of orders, invoices, or inventory

• No ERP-native posting or exception handling

10. Relevance AI: #10 Lindy alternative: an AI workforce of agents

Among Lindy alternatives, Relevance AI is the closest in ambition. It positions an "AI workforce" of agents for revenue and operations support, sold to teams that want to scale output without headcount. It is broader than Lindy in framing and still general about the work. It does not arrive knowing a distributor's ERP.

Relevance AI features

• Multi-agent "AI workforce" for support and revenue tasks

• Custom agents, tools, and actions

• Calling and meeting agents

• Enterprise controls and account management

Relevance AI pricing

• Quote-based; public pricing is Enterprise and contact-sales only

• Source: relevanceai.com (standard pricing not publicly published)

Lindy vs Relevance AI

Both sell agents that scale knowledge work. Relevance AI frames a broader workforce; Lindy frames individual employees. Neither posts a validated order into a distributor's ERP with exceptions resolved.

• Both are agent-workforce framings, not operations products

• Relevance AI is enterprise-and-quote-led; Lindy is more self-serve

• Neither owns the system-of-record write-back

Relevance AI limitations

• General agent-workforce framing, not back-office order operations

• Enterprise sales motion and quote-based pricing add evaluation overhead

• No ERP-native execution or exception model for operational input

Choosing among these Lindy alternatives

If the real job is turning an inbound order into a clean posting inside Business Central or NetSuite, a faster inbox is not enough. Something has to own the order book. That is why Lleverage is the call here for mid-market logistics operators and wholesale and distribution businesses. It ships the first working agent into production with you, and operations owns it after go-live. Topa Bathroom Products now posts more than 90% of incoming orders into Dynamics 365 Business Central automatically. Four FTEs moved off manual entry.

Other buyer profiles among Lindy alternatives:

• Broad app automation with agents: Zapier, Make

• Engineering-led, self-hosting: n8n

• Collaborative agent workflows with approvals: Relay.app

• Sales and go-to-market automation: Bardeen

• AI-in-the-flow building or internal apps: Gumloop, Stack AI

• Knowledge-grounded assistants and agent workforces: Cassidy, Relevance AI

Across the Lindy alternatives here, the test is simple. Can the tool take a messy inbound order and post it cleanly into the ERP, exceptions resolved, with nobody in the loop? Helping the person is the part Lindy already does. Owning the order book is the part Lleverage was built for.

Book a demo