The first alternative to Zapier Agents is now AI by Zapier. If your existing automation works and your team can maintain it, evaluate that migration before replacing the platform. If the real problem is managing an ongoing responsibility across people and apps, include an AI employee such as Artie in the comparison.
Those are different buying decisions. Moving a working automation is mostly a continuity problem. Changing how your team delegates research, reporting or follow-through is an operating decision that deserves a trial with a real assignment.
Artie is our product. This guide uses public documentation reviewed on November 4, 2026, alongside a practical migration example. It is not a hands-on ranking of the products.
Artie for responsibilities that continue between requests
Artie is our recommended starting point when you want an AI employee to handle an ongoing responsibility with your team. You can define a role, tools and responsibilities. Artie describes work across connected apps and a work computer, supported by company knowledge within granted access.
For example, an operations lead might delegate preparation of a weekly customer-risk brief. The assignment includes gathering the agreed inputs, preserving links, identifying missing information and preparing the next update after feedback. The result matters more than whether every intermediate step follows the same route.
That is a credible reason to evaluate a different product. It is not a reason to replace a reliable automation that copies one approved field between two systems. Keep a simple, dependable process where it already works.
Artie offers a free starting allowance with no credit card required. Its Team plan costs $100 per month for 10,000 shared credits without seat or AI-employee fees. Connected-app subscriptions can cost extra. Compare observed consumption for the same assignment. A credit does not have the same value across vendors.
AI by Zapier for staying with the platform
Zapier says it is moving Agents into AI by Zapier, with no shutdown date set in its October 1 migration guide. The converted Zap contains a trigger and a single AI step retaining the agent's instructions and tools. Migration does not automatically turn each tool call into a separate native step.
The commercial model changes from Agents activities to Zapier tasks. Full-Zap tests currently consume tasks as production runs do. Tools run without pausing by default, so enable the tool’s approval setting when that action needs review. Some knowledge sources, including HubSpot and Jira, are not yet supported in the new experience. The migration guidance also identifies two structural changes:
Chat-triggered agents: there is no direct equivalent trigger yet. A webhook can connect a chat surface to the Zap, but someone must configure and test that route.
Agent-to-agent calls: migrate the child, change its trigger to Sub-Zap by Zapier and update every parent that calls it to use the new sub-Zap. Converting each agent alone does not repair those references.
List those dependencies before cutover. Verify the replacement trigger, parent inputs, child output and destination on a complete run. Then disable the old agent and check for any run already in progress before allowing the replacement to write live.
This makes migration a sensible first path for a team that wants to keep its existing app connections and automation owner. Treat successful conversion as the start of testing, not proof that every business outcome remains identical.
Lindy for shared assistance and routines
Lindy's current pricing and product information describes Slack teamwork, scheduled routines and persistent workspace context. The dedicated pricing page lists Team from $49.99 per active user per month with 5,000 credits each pooled across the team. Top-ups cost $10 per 1,000 credits. Its free $50 credit offer lasts seven days.
Consider it when the work enters through conversations and several teammates need to participate. Your evaluation should include the cost of that participation as well as the work itself. An allowance that looks generous for one operator can produce a different bill when more colleagues begin assigning tasks.
Test a handoff between two people. Have the original owner supply the brief, then ask a second teammate to correct a source or destination. The useful result is a corrected next run with the appropriate access, rather than two independent conversations that happen to discuss the same topic.
Compare the assignment before comparing platforms
Inventory the process you already have. A useful record includes the old and new trigger, calling parents and child agents, source accounts, knowledge-source support, actions, destination, approval settings and expected frequency. Add the person who can repair the connections and the task budget for complete tests. That last field often explains why a team wants to switch.
Start the migration decision by separating three cases:
Keep the process. The automation works, the owner can maintain it and its destination records are reliable. Evaluate the supported migration path first.
Repair the process. The problem is a broken connection, an unclear field or a missing approval. Changing vendors may simply carry the same problem elsewhere.
Redesign the responsibility. The steps change often, several people contribute and someone still coordinates the work manually. Compare an AI employee against the current process on that whole responsibility.
These categories can coexist. A company can keep predictable record updates in Zapier while evaluating Artie for the research and coordination around them.
A worked migration check
Consider a fictional weekly account review. The current process gathers CRM notes and project updates, produces a draft brief and adds the draft link to a review queue. It must not email customers or change account status.
The desired outcome is the same before and after migration: one brief per account and reporting period, with correct sources and a visible missing-input section. A prettier summary does not compensate for an omitted project update.
Run the candidate against a small copied dataset first. Include an account with no new information, an inaccessible source and a record that already has a brief. Record what it read, what it created and which result needs human attention. Check the destination directly.
Suppose the candidate creates a brief but reports that the final write failed. Before running it again, inspect the review queue. If the link is already there, the recovery job is to confirm the completed write and repair the status. A full rerun could create a duplicate.
Use this scenario as a test design you can adapt. It is not a reported result for Artie, Zapier or Lindy.
Plan the cutover around one active owner
Choose a low-volume window and name the person who can stop either system. Preserve the previous configuration and capture the last completed reporting period. Decide which process owns new work from the cutover time onward.
Testing two candidates does not require letting both send live messages or update the same records. Keep one in a draft destination while comparing results. At cutover, verify the old trigger is disabled and inspect the first new result before increasing volume.
Define a rollback decision in advance. For example, missing an essential source may justify returning to the previous process. A cosmetic formatting difference may be a repair within the new setup. Neither should be decided only after colleagues receive conflicting updates.
Make the decision on usable work
Compare subscription and usage charges, setup effort, review time and repair time for the same workload. Preserve unsuccessful attempts in the record. Counting only accepted outputs while forgetting the work spent on failures produces an unrealistically favorable cost.
Choose the supported Zapier migration when continuity and explicit automation maintenance are the priorities. Evaluate Lindy when shared conversational assistance and its seat model fit the team. Start with Artie when the goal is to delegate an ongoing responsibility across your existing tools, with a clear owner and a result you can inspect.
