Your Zaps and scenarios, audited and made dependable.
Nobody plans to run a company on hundreds of Zaps. It happens one helpful automation at a time, built by people who have since moved on. We find out what is running, fix what is fragile, and move what has outgrown the tool.
What Gigabit does with Zapier and Make.
Gigabit audits, repairs and extends automation built on Zapier and Make: an inventory of every Zap and scenario with its owner and failure rate, rebuilds of the ones the business depends on, cost reduction, agent workflows using each platform's AI features, and migration to n8n or code where that is the better home.
We are not against these tools. For simple connections owned by non-technical teams they are the right answer and we leave them alone. The trouble starts when revenue-critical processes run on automations nobody can explain.
The Zapier & Make work we take on.
Start by finding out what you have.
Automation inventory
Every Zap and scenario listed with what it does, who owns it, how often it runs, how often it fails and what it costs each month.
Rebuilds with error handling
The automations the business depends on rebuilt with filters, error paths, deduplication and alerts, so a failure is noticed the same day.
Cost reduction
Polling replaced with webhooks, redundant steps removed and noisy triggers filtered, which brings task and operation usage down.
Agent workflows
Agents built with Zapier Agents or on Make scenarios for teams that want to stay on the platform they know.
Migration to n8n or code
The high-volume, complex or sensitive workflows moved to self-hosted n8n or a small service, with the simple ones left where they are.
Documentation and ownership
A map of what runs, naming conventions, shared connections under company accounts, and a named owner for each automation.
Both platforms now let an AI tool trigger your automations.
Convenient, and one more reason to know exactly what they do.
Built into the platforms
Zapier and Make have each added agents, natural-language builders and MCP servers.
- Zapier Agents as a standalone product, and Zapier MCP on every plan, billed at two tasks per tool call.
- Maia by Make, which builds scenarios from a description in plain language.
- A Make MCP server that lets outside AI tools run scenarios, with management tools on paid plans.
Agents you can account for
Once an AI tool can call any of your automations, the question becomes which ones it should be allowed to, and who checks.
- A short allow-list of the automations an agent may call, with everything else off limits.
- Approval steps on actions that send messages to customers or change financial records.
- A cost check before launch, since every agent tool call consumes tasks or operations.
- A recommendation to build the agent elsewhere when the logic has outgrown a no-code canvas.
Published prices, mapped to the job.
Every figure here is the same one on the pricing page. Nothing on this platform is quoted from a separate rate card.
A price marked “from” buys the base scope set out on the pricing page. Anything larger is quoted as a fixed price before work starts. Work with no natural end, such as ongoing development, is priced per engineer per month with no lock-in.
When Zapier & Make is the right call, and when it is not.
- Simple, low-volume connections between well-known apps.
- Non-technical teams who need to build and change automations themselves.
- Speed matters more than control, and the data involved is not sensitive.
- The task or operations bill is growing faster than the business.
- Workflows that need loops, state, branching logic or custom code to be correct.
- Customer or financial data that should not pass through another vendor's servers.
Questions Zapier & Make teams ask
How much does a Zapier or Make audit cost with Gigabit?
An audit and the migration that usually follows are staffed as an embedded pod at $3,000–$7,500 per engineer per month, with a two-to-four week trial and no lock-in. Rebuilding one critical automation with error handling, alerts and documentation is $8,000 fixed over three weeks.
When should we move off Zapier or Make?
When the monthly bill is growing faster than the business, when a critical process depends on an automation nobody understands, when workflows need logic the canvas makes awkward, or when sensitive data should stay on your own infrastructure. Simple automations that work can stay where they are.
Zapier or Make?
Zapier has more app integrations and is easier for non-technical people. Make handles branching and data transformation better and is usually cheaper at volume, with a steeper learning curve. For core operations at scale, we would compare both against self-hosted n8n before committing.
Can AI agents use our existing Zaps and scenarios?
Yes. Zapier MCP and the Make MCP server both let an AI tool call your automations as tools. Zapier bills each tool call as two tasks. Before turning it on, decide which automations an agent may call and add an approval step to anything that reaches a customer or a ledger.
Often scoped alongside.
n8n
Self-hosted n8n, workflows and AI agents with error handling, tests and monitoring. In production for a $28M seller.
n8nHubSpot
Workflow automation, custom objects, integrations with billing and product data, and agents that span the CRM and beyond.
HubSpotShopify
Builds, migrations, custom apps and Functions, plus support and returns agents grounded in live order data.
Shopify
Find out what is actually running.
Thirty minutes on what your automations do today and which ones you would miss if they stopped.