Your account managers are the glue between twelve tools
A new client signs. Someone creates the folder in Google Drive, the project in ClickUp or Asana, the channel in Slack, the client in Xero, the reporting dashboard, and sends a welcome email with a form. Every month someone pulls numbers from Google Ads, Meta and GA4 into a slide. Every week someone chases approvals on creative.
Somebody on the team has already tried Zapier. There are forty zaps, half of them built by someone who left, a few quietly failing, and a bill that keeps climbing. Now you are wondering whether Make or n8n is the answer, or whether you should be using AI agents instead.
Why agencies end up with a pile of fragile automations
Automations get built reactively. A task annoys someone, they automate it that afternoon, and nobody writes down what it does. After a year the agency has a hidden layer of logic that nobody owns.
- No map exists of which recurring tasks the agency actually does, so automation is patchy.
- Each automation is built by whoever had time, with different naming and no error alerts.
- Client-specific exceptions get hard-coded, so a change for one client breaks another.
- Tool choice follows habit rather than the job: high-volume tasks run on per-task pricing and cost a fortune.
Choosing between the three
| Tool | Good fit | Watch out for |
|---|---|---|
| Zapier | Simple triggers between popular apps, non-technical builders | Per-task pricing at volume, limited branching |
| Make | Multi-step scenarios with branching and data shaping | Scenarios get hard to read when they grow |
| n8n | Self-hosting, heavier logic, AI steps, keeping data in your own cloud | Someone has to host and update it |
Many agencies end up with two: Zapier or Make for small glue jobs the team edits themselves, and n8n or a small custom service for the heavy, business-critical flows like reporting and onboarding.
What the mess costs you
Failed automations are silent. A client onboarding zap stops because an API token expired, and nobody notices until the client asks why they never got access. Reports go out with a missing channel. Staff lose trust in the automations and start doing things by hand again just in case, which means you pay for the tool and the time.
There is also a key-person problem. When the one person who understands the Make scenarios goes on holiday, month-end reporting slips, and when they leave, the agency inherits a system nobody can safely change. That is a business risk as much as an efficiency one, and it tends to surface at the worst moment, like the week a large client is up for renewal.
How we automate agency workflow
- We map your recurring work: onboarding, monthly reporting, creative approvals, time tracking, invoicing and offboarding. Each gets a trigger, steps, owner and exceptions written down.
- We audit your existing automations, mark which are live, which are broken and which duplicate each other.
- We pick the tool per workflow based on volume, complexity and who needs to edit it, rather than forcing everything onto one platform.
- We rebuild the critical flows with consistent naming, client settings held in one configuration table instead of scattered through steps, and error alerts to a named person.
- Where AI helps, we add it as a step: summarising campaign performance into draft commentary, classifying incoming client requests, or drafting briefs from call notes, each with a person approving before anything reaches the client.
- We document each workflow in plain language and hand it over, so your operations lead can adjust it.
What changes for the team
Onboarding a client becomes filling in one form. Monthly reports arrive as drafts with the numbers already pulled and a first pass at commentary for the account manager to edit. When something fails, a named person gets an alert with the reason rather than a client finding out first. Your automation bill makes sense because each job runs on the tool that suits it.
Does this sound like your agency?
- You have dozens of zaps or scenarios and nobody is sure what they all do.
- Account managers spend days each month building reports by hand.
- A broken automation has embarrassed you in front of a client.
- Your automation subscription grows faster than your client list.
- You want to add AI but do not know where it would actually help.