Make vs Zapier for Running a Multi-Client Consulting Practice

Once a client signs, the scope and fee structure already exist somewhere, in the CRM deal or the letter itself, and shouldn't need retyping into a separate project tool. A basic version of this, new signed deal creates a new project with a standard template, is easy in either tool.

Consulting engagements rarely fit one template, though. A fixed-fee strategy project and a time-and-materials advisory retainer need different tracking structures from day one. Make's ability to branch the project setup based on the engagement type recorded in the CRM handles this without needing a separate manual template choice every time a new client signs.

A missed internal deadline on a deliverable is manageable if someone catches it early. Caught late, or not until the client asks where it is, it's a trust problem. A scheduled check against your project tracker that flags any deliverable due within a set window and still marked incomplete gives a partner a heads-up before the client does.

This works in either tool for a single project. Where Make earns its complexity is checking this across every active engagement at once and rolling flagged items into a single internal summary, rather than needing a separate automation per client that someone has to remember to set up for every new engagement.

Few consulting practices bill every client the same way. A fixed-fee strategy engagement bills on milestones; a time-and-materials advisory retainer bills on logged hours; a success-fee arrangement bills on an outcome that has to be manually confirmed. One flat invoicing automation will eventually get one of these wrong.

Make's conditional branching lets a single scenario check the engagement type before deciding how to build the invoice, pulling milestone data for one client and summed hours for another. Building the equivalent in Zapier usually means separate Zaps per billing type, which works but means remembering which Zap covers which client as your roster changes.

Give each engagement type its own billing trigger:

• Fixed-fee engagements bill on milestones, so trigger the invoice when a partner confirms that a milestone is complete.
• Time-and-materials retainers bill on logged hours, so pull the hours from your time tracking for each billing period.
• Success-fee arrangements bill on an outcome, so keep the outcome confirmation manual and automate only the invoice that follows it.

Clients want visibility into where their engagement stands, and an automated weekly summary pulled from your project tracker saves a partner from writing one by hand every Friday. The risk is the same one that shows up in other service businesses: an automated update that doesn't actually reflect real task status starts to look worse than no update at all.

Tie any client-facing status language directly to real data in your tracker, on schedule, at risk, delayed, rather than a static message that fires regardless of what's actually happening. A client who catches one inflated status update stops trusting every update after it, and rebuilding that trust takes far longer than sending an honest, less flattering update would have in the first place.

A solo consultant or a two-partner practice can run comfortably on a handful of well-built Zaps. Once you're managing enough concurrent engagements with genuinely different billing structures and deliverable cadences, the coordination overhead of maintaining many small, similar-but-not-identical automations starts to rival the overhead you were trying to eliminate.

At that point, look at whether a dedicated professional services automation platform, purpose-built for staffing, utilization and billing together, replaces several of your smaller automations at once. Keep Make or Zapier for the connections that platform doesn't cover natively, rather than trying to rebuild an entire PSA system inside a general-purpose automation tool.

That transition rarely happens all at once, and it shouldn't. Move one workflow at a time, starting with whichever one currently causes the most manual reconciliation work, and keep the old automation running in parallel until the new system has proven itself against a full billing cycle. A practice that rips out its entire operational stack in one weekend is choosing exactly the wrong moment to discover a gap in the new setup.