Zapier Automation & Integration

When Zaps become business-critical

Zapier connects thousands of apps without custom code, so important workflows often end up there. Over time Zaps multiply, depend on one person's login, fail quietly or create duplicate records. We design, rebuild and monitor Zapier automations for operations, sales and support teams, build private integrations for apps Zapier doesn't cover, and tell you when a workflow has outgrown Zapier and needs custom code with its own tests and monitoring.

AI-assisted, expert-led Zapier automation

How AI assists

Drafts process maps and Zap outlines from your notes and current workflows for review
Generates test payloads for edge cases: missing fields, duplicates, odd date formats and long text
Drafts Platform CLI integration code and tests from your API spec for engineers to review
Reviews Zap History errors and groups failures by app and cause

What our experts own

Engineers decide field ownership, deduplication rules and what happens when a step fails
App connections use shared service accounts with only the access they need, reviewed by people
Engineers decide what stays in Zapier and what needs custom code
Zaps go live only after tests with sample data and your sign-off

A production Zap, from trigger to replay

Illustrative multi-step Zap; your apps, field owners and alert channel shape the real one.

Catch Hook trigger
Your app posts to a Catch Hook URL; a filter step checks the shared secret and required fields.
Route with Paths
Paths send each request down the right branch by type, region or owner; test records are filtered out.
Find or create
A lookup by email or external ID finds the existing contact, so a rerun edits rather than adds.
Write to apps
CRM, accounting and support steps run on shared service-account connections, each writing only the fields it owns.
Error path
A failing step triggers the error handler, which posts the run link and cause to your team's channel.
Checkpoint: Named owner fixes, then replays the run
Usage review
Zap History, task usage and connection health are reviewed on an agreed cadence, and stale Zaps are retired.
Checkpoint: Engineer flags steps that need custom code

When something fails: A failed run alerts your channel and tells the requester the request is on hold; replays reuse the lookups, so fixed runs don't duplicate records.

What you receive

Zapier automations built for production

Workflow mapping and design
Your process mapped step by step, then built as Zaps with filters, Paths and formatters, each with a named owner and a documented trigger.
Multi-step Zaps with error paths
Branching Zaps with lookups, find-or-create steps and error handlers, so a replayed run updates a record instead of duplicating it.
Private Zapier integrations
Private apps for your internal tools or APIs, built with the Zapier Platform CLI, with authentication, tests and versioned releases.
Webhook automations
Catch Hook triggers and outbound webhooks with payload validation and shared-secret checks, plus handling for repeated or out-of-order events.
Two-way data sync
Sync between CRM, marketing, accounting and support tools with a source of truth for each field, loop prevention and agreed conflict rules.
Monitoring and cleanup
Error alerts to your team's channel, Zap History and task-usage reviews, and cleanup of broken or duplicate Zaps, on a cadence agreed in a support plan.

Prepare an integration that your team can operate

Access and inputs
Provide the connected apps, Zapier plan, task volumes, test records and account owners. Confirm the triggers and actions your actual connectors expose and which system owns each field.
A realistic first scope
Start with one workflow and explicit duplicate, failure and manual-recovery rules. Connector capabilities, polling behavior and task quotas may limit the design; unsupported operations can require a custom API integration.
Handover and maintenance
We deliver the agreed connection, test evidence, configuration notes and recovery instructions. Assign an owner for alerts and reconciliation. Provider changes, credentials and ongoing monitoring can be maintained under an agreed support plan; provider charges remain separate.

How we build and run your automations

01
Process audit
List the tools, triggers and manual steps involved, who owns each workflow, and which system holds the correct value for each field.
02
Workflow and error design
Design Zaps with filters, Paths, lookups and error handlers, and decide who gets alerted and what the requester sees when a step fails.
03
Build and test
Build with test records and edge-case payloads, then run each Zap end to end before it is turned on.
04
Launch and monitor
Turn Zaps on in stages, watch Zap History and task usage, then continue under a support plan or hand over with documentation.

Two ways to work with AI tools

AI helps draft integration code and contract tests. Choose where it may process your code and API data.

Private / Local AI Engineering
Privately hosted models inside infrastructure you control or an agreed isolated environment.
Discuss with this package
Claude Code / OpenAI Codex Engineering
Claude Code and/or OpenAI Codex with cloud settings your organization approves.
Discuss with this package

Not sure? We'll recommend one during scoping. Compare AI delivery options

FAQ

Frequently Asked Questions

What if my app is not on Zapier?

We can build a private integration with the Zapier Platform CLI so your team can use your app in Zaps, or connect it through Webhooks by Zapier and API requests. If you later want a public listing, Zapier reviews the integration before it appears in its app directory.

What happens when a Zap fails?

Every run is recorded in Zap History. We add error handlers and alerts to your team's channel, design steps so a replay doesn't create duplicates, and document how to fix and replay common failures. Expired app connections and renamed fields are frequent causes, so we check connections during regular reviews.

When should a workflow move out of Zapier?

When task volume makes it expensive, when the logic needs real code, version control and tests, or when data must stay in a specific environment. We then build it as a small service or direct API integration with the same monitoring, and keep Zapier for the simpler steps around it.

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