Workflow automation migration

Zapier → Make

Move workflow graph and step order, app connectors and operation coverage, credentials and oauth connections, field mappings and expressions, schedules, polling, and webhook triggers, error handling, retries, and partial execution, data stores, variables, and shared components, execution history and replay evidence from Zapier to Make with a reversible cutover, explicit exception ledger, and evidence-backed verification.

Typical timeline15–45 business days70–180 hours active work

Statusneeds review

Source profileZapier documentation reviewed 2026-07-20

Destination profileMake documentation reviewed 2026-07-20

Documentation date2026-07-20

Review window2026-07-202026-10-20

Evidence2 sources

This route needs review.Use it as a planning baseline, then verify the dated sources and test with representative data before production.

Before you migrate

Should you make this move?

Both platforms have a case. Compare what you gain with what you give up before scheduling the cutover.

Current platform

Zapier

Reasons to stay

An enormous connector ecosystem and approachable trigger-action model make business automation widely accessible
Visual workflows connect business systems without requiring a custom integration for every process

Reasons to leave

Task pricing, proprietary steps, app-specific behavior, and complex Zaps create accumulated lock-in
Credentials, connector semantics, and in-flight execution state are difficult to move safely

New platform

Make

What gets better

Visual scenarios, routers, data transformation, and a broad connector catalog support sophisticated no-code automation
Visual workflows connect business systems without requiring a custom integration for every process

What gets worse

Operation billing and complex scenario graphs can be difficult to estimate, debug, and migrate
Credentials, connector semantics, and in-flight execution state are difficult to move safely

Best of the move

Make: Visual scenarios, routers, data transformation, and a broad connector catalog support sophisticated no-code automation. This removes a major source-side concern: Task pricing, proprietary steps, app-specific behavior, and complex Zaps create accumulated lock-in.

Worst of the move

What you lose: An enormous connector ecosystem and approachable trigger-action model make business automation widely accessible. What you inherit: Operation billing and complex scenario graphs can be difficult to estimate, debug, and migrate.

Jump to a section

01At a glance

Know the shape of the move.

Transfer outcome10 features audited

Clean0

Partial3

Manual6

Lost1

Mapping route8 of 9 fields have a destination path

SourceZapier9 mapped fields

Automatic0

Transform3

Manual5

Unsupported1

DestinationMake8 supported paths

This timeline assumes

Up to 500 active workflows, 2,000 app connections, and 20 million annual executions
Administrators control both Zapier and Make, including billing, identity, APIs, integrations, and export permissions.
Zapier remains intact and recoverable until Make completes one representative operating cycle.
A production-shaped pilot includes every object type, access class, edge case, and failure path.
The migration team preserves stable source identifiers and records durable evidence for every blocking check.

02What transfers

What survives the move.

“Partial” and “manual” are not footnotes. They are work that must be scheduled and verified.

Item	Outcome	Impact	What happens	Mitigation
Workflow graph and step order	partial	critical	Triggers, actions, routers, branches, loops, and sub-workflows have different execution models. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Map workflow graph and step order explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items.
App connectors and operation coverage	manual	critical	Connector names can match while supported actions, fields, pagination, and API versions differ. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild app connectors and operation coverage, then test normal, edge, failure, and rollback behavior.
Credentials and OAuth connections	manual	critical	Secrets and delegated grants are intentionally excluded or tenant-bound and require reauthorization. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild credentials and oauth connections, then test normal, edge, failure, and rollback behavior.
Field mappings and expressions	partial	critical	Expression languages, null behavior, date functions, arrays, and prior-step references require translation. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Map field mappings and expressions explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items.
Schedules, polling, and webhook triggers	manual	critical	Polling intervals, webhook ownership, time zones, and concurrency behavior must be switched once. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild schedules, polling, and webhook triggers, then test normal, edge, failure, and rollback behavior.
Error handling, retries, and partial execution	manual	critical	Retry policies, dead-letter behavior, rollback semantics, and failure visibility differ. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild error handling, retries, and partial execution, then test normal, edge, failure, and rollback behavior.
Data stores, variables, and shared components	partial	high	Platform-native tables, environment values, reusable modules, and team assets need separate migration. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Map data stores, variables, and shared components explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items.
Execution history and replay evidence	lost	high	Past runs, payloads, logs, and replay controls do not become destination-native history. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Archive execution history and replay evidence as dated source evidence and define the new destination baseline.
Teams, folders, ownership, and permissions	manual	high	Workspace hierarchy, ownership, roles, and plan entitlements require redesign. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild teams, folders, ownership, and permissions, then test normal, edge, failure, and rollback behavior.
Rate limits, concurrency, and operating cost	manual	high	Task, operation, and execution billing models change workflow capacity and cost. A successful bulk job therefore does not prove semantic parity between Zapier and Make.	Inventory and rebuild rate limits, concurrency, and operating cost, then test normal, edge, failure, and rollback behavior.

03Field and feature mapping

Where each thing goes.

Source	Destination	Method	Notes
Zapier: Workflow graph and step order	Make: approved workflow graph and step order representation	transform	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for workflow graph and step order.
Zapier: App connectors and operation coverage	Make: approved app connectors and operation coverage representation	manual	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for app connectors and operation coverage.
Zapier: Credentials and OAuth connections	Make: approved credentials and oauth connections representation	manual	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for credentials and oauth connections.
Zapier: Field mappings and expressions	Make: approved field mappings and expressions representation	transform	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for field mappings and expressions.
Zapier: Schedules, polling, and webhook triggers	Make: approved schedules, polling, and webhook triggers representation	manual	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for schedules, polling, and webhook triggers.
Zapier: Error handling, retries, and partial execution	Make: approved error handling, retries, and partial execution representation	manual	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for error handling, retries, and partial execution.
Zapier: Data stores, variables, and shared components	Make: approved data stores, variables, and shared components representation	transform	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for data stores, variables, and shared components.
Zapier: Execution history and replay evidence	No destination	unsupported	Retain immutable source evidence; do not manufacture destination-native history.
Zapier: Teams, folders, ownership, and permissions	Make: approved teams, folders, ownership, and permissions representation	manual	Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for teams, folders, ownership, and permissions.

04Before you begin

Make the move recoverable.

Backup procedure

Create the source-of-truth backup

Preserve Zapier data, configuration, access, and operating evidence before any destination write.

Export every available Zapier object and binary in scope, including workflow graph and step order, app connectors and operation coverage, credentials and oauth connections, field mappings and expressions.
Capture configuration and runtime dependencies for schedules, polling, and webhook triggers, error handling, retries, and partial execution, data stores, variables, and shared components, execution history and replay evidence.
Record counts, sizes, owners, timestamps, access classes, financial totals where applicable, and known exceptions.
Hash immutable exports, record tool versions and commands, and transform working copies only.

Proof to capture: A signed manifest accounts for every scoped record class, configuration object, binary, count, total, exception, and hash.

Transformation · Version-controlled migration workbook, SQL, or typed transformation code

Identity, schema, and disposition registry

Preserve stable identity and make every mapping or exclusion reviewable.

Inventory source types, identifiers, owners, states, and access.
Define one approved destination representation or explicit archive decision.
Reject unmapped critical items and produce an exception ledger.

Proof to capture: Save the input, output, command or tool settings, warnings, and final item counts.

Transformation · Official APIs, provider importers, checksums, and reconciliation scripts

Dependency-ordered migration package

Load prerequisite identities and configuration before dependent records and runtime actions.

Normalize encoding, timestamps, identifiers, nulls, and destination limits.
Run a representative pilot and retain request, response, and rejection evidence.
Reconcile the final delta before enabling destination production writers.

Proof to capture: Save the input, output, command or tool settings, warnings, and final item counts.

05Handle with care

The things most likely to hurt.

These are operating limits. Treat every “Stop if” condition as a blocked migration, not a suggestion.

Import

A completed migration hides missing or altered workflow graph and step order

criticalpossible likelihood

Headline counts look plausible while semantic, access, or relationship checks fail.

Consequence: The destination becomes authoritative with incomplete or misleading business data.
Mitigation: Reconcile by type, state, owner, access class, and representative record rather than total count alone.

Stop if: Any critical item lacks a verified destination, approved transformation, explicit exclusion, or recoverable archive.

Cutover

Zapier and Make both perform production actions

criticalpossible likelihood

Users, schedules, webhooks, integrations, or traffic continue changing both systems.

Consequence: State diverges or customers receive duplicate, contradictory, or unsafe actions.
Mitigation: Freeze source writers and transfer one production owner at a time with an approved rollback.

Stop if: An unapproved source writer or destination duplicate action appears after the freeze.

Verification

Destination access or security is broader than approved

criticalpossible likelihood

A representative restricted user can read, change, export, or trigger an unauthorized item.

Consequence: Confidential, regulated, financial, or security-sensitive data is exposed or changed.
Mitigation: Apply least privilege before bulk loading and test every access class using ordinary identities.

Stop if: Any unauthorized read, write, export, administrative action, or secret access succeeds.

06Precise timeline

Do the work in this order.

Estimate forUp to 500 active workflows, 2,000 app connections, and 20 million annual executions

Total elapsed15–45 business days

Active work70–180 hours

BufferAdd time for large Zapier exports, destination rate limits, unsupported features, identity exceptions, regulated data, or a strict downtime objective.

Days 1–4Inventory and decisions2–4 days

Days 3–8Backup and reconcile2–5 days

Days 6–20Map, transform, and pilot5–12 days

Days 18–35Bulk load, final delta, and switch2–8 days

Days 25–45Observe and close7–14 days

1
Days 1–4 · inventory
Inventory and decisions
8–16 hours active2–4 days elapsedOwner, legal, security, and finance review waiting
- Inventory Zapier data, configuration, identities, integrations, limits, and billing.
- Approve scope, owners, mappings, exclusions, acceptance thresholds, and rollback authority.
Depends on: Zapier and Make administrator access
Stop / go checkpoint
Export?
Go when: Every critical item and production action has an owner and disposition.
Stop when: Authority, retention, billing, access, or system ownership is unclear.
2
Days 3–8 · backup
Backup and reconcile
8–20 hours active2–5 days elapsedProvider export processing waiting
- Create immutable data, configuration, binary, and audit exports.
- Reconcile source counts, totals, sizes, access classes, and hashes.
Depends on: Approved inventory and retention location
Stop / go checkpoint
Transform?
Go when: The signed source manifest and exports agree.
Stop when: Any critical dataset, binary, configuration, or recovery path is absent.
3
Days 6–20 · pilot
Map, transform, and pilot
25–70 hours active5–12 days elapsedDestination processing and owner review waiting
- Configure Make and transform a production-shaped pilot.
- Test normal records, every feature class, edge cases, permissions, failures, and rollback.
Depends on: Verified source backup and approved mapping registry
Stop / go checkpoint
Scale?
Go when: Every pilot mapping and blocking verification check passes.
Stop when: Any critical invariant, access boundary, or production action lacks a safe destination.
4
Days 18–35 · cutover
Bulk load, final delta, and switch
20–55 hours active2–8 days elapsedImports, propagation, indexing, or synchronization waiting
- Freeze production writes and automated actions in Zapier.
- Apply and reconcile the final delta, switch ownership to Make, and run all blocking checks.
Depends on: Passed pilot, stakeholder go decision, and rehearsed rollback
Stop / go checkpoint
Open production?
Go when: Make is the sole production owner and every critical exception is resolved.
Stop when: A source writer remains active, a blocking check fails, or rollback is unavailable.
5
Days 25–45 · observe
Observe and close
9–19 hours active7–14 days elapsedRepresentative operating-cycle evidence waiting
- Monitor correctness, access, failures, latency, delivery, cost, and user outcomes.
- Sign the verification report and close rollback only after stable evidence.
Depends on: Verified cutover
Stop / go checkpoint
Close rollback?
Go when: No trigger occurs during the approved observation period.
Stop when: Data, access, delivery, routing, cost, or business results regress.

07The point of change

Cut over with a way back.

Go live

Cutover

Make Make the only production system without losing the final Zapier delta.

Recommended window: A low-volume weekday morning with platform, data, security, networking, finance, and business owners available.

Freeze user, integration, schedule, and API writes in Zapier.
Capture and reconcile the final source delta against the last verified checkpoint.
Apply the approved delta and configuration changes to Make.
Switch traffic, domains, integrations, credentials, automation, and user entry points in dependency order.
Run every blocking verification check and keep the source intact.

Proof to capture: Make alone owns production, totals reconcile, exceptions are signed, and every blocking check has durable evidence.

Return to safety

Rollback

Return production ownership to Zapier without losing destination-era changes.

Deadline: Within seven days and before source data, plans, credentials, domains, keys, or retention settings are changed.

Stop new user, integration, schedule, and API writes in Make.
Restore prior Zapier traffic, domains, credentials, automation, and integration ownership.
Export and classify the Make post-cutover delta.
Apply safe destination-era changes back to Zapier without duplicating actions.
Run the same blocking checks against the restored source.

Proof to capture: Zapier again owns production with current data and no duplicate destination action.

Rollback immediately when

Unexplained critical count, value, relationship, or checksum variance
Missing, corrupted, or exposed critical data
Duplicate production action or unresolved split-brain state
Failed access, security, delivery, routing, performance, or integration check
A critical feature has no safe destination replacement or rollback path

08Verification report

Prove the migration worked.

Every blocking check must pass. Capture the evidence before cleanup begins.

ID	Check	Method	Expected result	Evidence
`V-01`Blocking	Workflow graph and step order reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for workflow graph and step order.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Workflow graph and step order ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-02`Blocking	App connectors and operation coverage reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for app connectors and operation coverage.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	App connectors and operation coverage ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-03`Blocking	Credentials and OAuth connections reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for credentials and oauth connections.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Credentials and OAuth connections ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-04`Blocking	Field mappings and expressions reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for field mappings and expressions.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Field mappings and expressions ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-05`Blocking	Schedules, polling, and webhook triggers reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for schedules, polling, and webhook triggers.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Schedules, polling, and webhook triggers ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-06`Blocking	Error handling, retries, and partial execution reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for error handling, retries, and partial execution.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Error handling, retries, and partial execution ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-07`	Data stores, variables, and shared components reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for data stores, variables, and shared components.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Data stores, variables, and shared components ledger with counts, exceptions, sample IDs, and owner sign-off.
`V-08`	Execution history and replay evidence reconciliation	Compare source inventory, transformed output, destination results, and a stratified sample for execution history and replay evidence.	Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive.	Execution history and replay evidence ledger with counts, exceptions, sample IDs, and owner sign-off.

09Post-migration cleanup

Remove the scaffolding safely.

Safe after: One complete operating cycle, at least seven stable days, and owner sign-off on every blocking check and exception.

Create final Zapier exports and archive verification, access, financial, and rollback evidence.
Revoke temporary credentials, API keys, webhooks, elevated roles, and migration network access.
Remove obsolete jobs, embeds, domains, integrations, collectors, routes, and DNS records.
Keep the source intact and read-only through the approved legal and operational retention window.
Cancel paid plans only after billing, legal, security, evidence, and recovery review.
Schedule the next Make backup, restore test, access review, and migration-playbook review.

10Experiences from the field

When the plan met reality.

First-hand accounts are preferred. Vendor case studies are labeled, and every note below is an editorial paraphrase—follow the link for the full context.

Independent case studyClutch

Atomic Actions ReviewsUndated

A verified Clutch project review describes migrating existing Zapier workflows to Make as part of a broader automation engagement. The client reports approximately 99.5% automation uptime, zero critical migration errors after reviewing flagged anomalies, around 30% platform-cost savings, and lead-processing time falling from roughly fifteen minutes to under one. The work also connected Fillout, Calendly, and BuilderPrime across multi-step flows.

What they recommend

Define output checks and an anomaly-review queue so a workflow is not accepted merely because it runs without throwing an error.
Measure business latency, classification accuracy, uptime, and cost before and after each rebuilt automation.

Worth noticing

The reported value combined platform savings with faster lead handling and more reliable operational coverage.
Zero critical migration errors still required humans to review and correct the anomalies surfaced during validation.

Sources and evidence

Verify against the primary material.

Platform behavior changes. Check these sources and the review dates above before executing a production migration.

Zapier: official portability and migration documentationAccessed 2026-07-20
Make: official portability and migration documentationAccessed 2026-07-20

Know the shape of the move.

This timeline assumes

What survives the move.

Where each thing goes.

Make the move recoverable.

Create the source-of-truth backup

Identity, schema, and disposition registry

Dependency-ordered migration package

The things most likely to hurt.

A completed migration hides missing or altered workflow graph and step order

Zapier and Make both perform production actions

Destination access or security is broader than approved

Do the work in this order.

Inventory and decisions

Export?

Backup and reconcile

Transform?

Map, transform, and pilot

Scale?

Bulk load, final delta, and switch

Open production?

Observe and close

Close rollback?

Cut over with a way back.

Cutover

Rollback

Prove the migration worked.

Remove the scaffolding safely.

When the plan met reality.

Verify against the primary material.