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Integration

Make
automation that holds.

Make sits in the middle of your stack, quietly moving data between every tool you run. We rebuild your scenarios as monitored infrastructure: error routes, retries, cost-controlled operations, and alerting, so the automation you depend on stops failing in silence.

Free intro call Rebuilt in 2-3 weeks

Scenario Console

Operations · live

active scenarios 34 mapped
error routes Break + retry
ops per month 1.2M → 640K
silent failures 0 unwatched
data stores typed + keyed
Error routes live

Every scenario carries an error handler, a retry interval, and an alert, so a failure surfaces in minutes, not at month-end reconciliation.

Trusted by teams at

Zech Group Eigenherd LIQID Event Inc IU International University Hauser Maschinen

Scenario triage

1
Scenario inventory Modules · owners
2
Failure scan Incomplete queue
3
Operations audit Ops per run
4
Error-route map Break · retry
The symptoms

Automation fails silently, then bills you for it.

A Make scenario rarely errors loudly. It skips a bundle here, deactivates there, and burns operations the whole time, until the gap shows up as missing CRM records and an invoice that doubled overnight.

Scenario sprawl nobody dares touch

One scenario has grown to 60+ modules across nested routers, with no naming and no owner. Nobody edits it, because a single wrong filter silently drops bundles on a live flow and Make keeps no version history to roll back to.

Failures that never raise a flag

Make deactivates a scenario after 3 consecutive errors and emails a shared inbox no one reads. Until then it skips bundles into the Incomplete Executions queue, and you find the gap when a customer asks where their data went.

Operations cost creeping past the value

A polling trigger on a 1-minute interval burns operations 24/7 whether data changed or not, and an iterator over 800 rows spends 800 operations per run. The bill scales with volume, not outcomes, and jumps the quarter you grow.

One bad payload halts the whole flow

A single malformed webhook payload with no error route stops the entire scenario mid-run. Without a Break handler the bundle is lost, and every downstream module, the CRM write, the Slack alert, the invoice, never fires.

The build

Automation that survives the person who built it.

1. Map & audit

Every scenario inventoried: module count, trigger type, connections, operations consumed per run, and the backlog sitting in the Incomplete Executions queue. We find where data is silently dropping before we change a thing.

2. Rebuild & harden

Scenarios rebuilt with error handlers, Break with a retry interval and attempt cap, routers with filters moved upstream, and Data Stores replacing tangled module chains. Polling triggers swapped for webhooks wherever the app supports them.

3. Monitor & hand over

Failure alerting wired into Slack or email, an operations dashboard per scenario, and a naming convention with an owner on each. Your team gets the runbook and runs it in their own org, not a standing dependency on us.

Deliverables

What you own at the end.

Not a folder of scenarios and a wish of luck. A hardened Make operation with error routes, cost control, and monitoring, running entirely inside your own org.

Scenarios with real error handling

Every critical path gets a Break handler with a retry interval and attempt cap, plus a route into a Data Store dead-letter for anything that still fails. One bad payload no longer takes the scenario down with it.

Ownership and naming conventions

Scenarios renamed to a convention, foldered by domain, an owner on each, and a one-page map of triggers, connections, and data flows. The next engineer reads it in an afternoon, not a fortnight of reverse-engineering.

Operations spend brought under control

Polling triggers replaced by webhooks, iterators bounded, and filters moved upstream so modules only run on the rows that matter. A typical rebuild cuts operations 40 to 60% at the same throughput.

A monitored, documented handover

Failure alerting into Slack or email, a dashboard of operations usage per scenario, and a runbook covering the Incomplete Executions replay and the error-route logic. Your team owns it from day one.

Connected Stack

One CRM, synced tools

Synced

Monitored

All scenarios healthy, retries & alerting on

Automation built to run unattended.

Scope depends on your scenario count, operations volume, and the tools in the loop. We quote after a short call, not from a rate card, and the rebuilt scenarios run in your own Make org from day one.

Scoped to your scenario count Custom Quote
Free intro call
Before you book

The questions we get asked.

What access do you need?

Admin on your Make organisation (or a seat you provision in our name), the existing connections to the apps in scope, and API access to your CRM and any system a scenario writes to. We work in a duplicated set of scenarios first, so nothing live is touched until the rebuild is tested.

Will rebuilding break our live automations?

No. We clone the scenarios into a staging folder, rebuild and test them against sample payloads there, then cut over one flow at a time with the old version kept inactive as a fallback. If a rebuilt scenario misbehaves on live data, we switch back in seconds, because Make keeps no version history of its own.

How long until it's stable?

The audit and scenario map take the first few days. Most rebuilds are done and cut over inside 2 to 3 weeks, depending on scenario count and how many polling triggers can move to webhooks. Alerting and the runbook go live with the last cutover, not bolted on afterwards.

Who pays for the Make subscription and operations?

You do, in your own org, so you own every scenario and connection. We size the plan to your operations volume and usually reduce it, because a typical rebuild cuts operations 40 to 60%. The subscription and any premium-app connectors run on your billing, not ours.

Should we even be on Make, or move to n8n or Zapier?

If your scenarios are already on Make and the operations cost is the problem, a rebuild almost always fixes it cheaper than a migration. We move platforms only when there is a hard reason: self-hosting for data residency, or logic Make genuinely cannot express. We will tell you plainly which case you are in rather than sell you a rebuild you do not need.

What happens after handover?

Your team owns the scenarios, the alerting, and the runbook, including the Incomplete Executions replay procedure. Some clients keep a small retainer for new scenarios and quarterly operations reviews, but nothing breaks if you run it alone. That is the point of the naming convention and the runbook.

Alexander Knoll, Founder & Team Lead

RevOps Engineering Excellence

We bring software engineering discipline to RevOps, shaping the scalable solutions that standard configurations can't provide to ensure long-term ROI.

Alexander Knoll

Founder & Team Lead