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Make.com For Agencies

Agencies that build Make.com automations for clients occupy a growing market. Businesses want automation but lack the time or expertise to build it — they hire agencies to do it for them. This guide covers how to build a Make.com automation practice, price your services, deliver client projects, and scale recurring revenue.

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MJK Supplies · Feb 26, 2026 · 4 min read
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Make.com For Agencies

The Agency Opportunity

Demand for automation expertise has outpaced supply. Small businesses know they need automation; they've heard about Make.com and n8n; they don't have time to learn it themselves. They hire people who can.

An experienced Make.com builder can charge $3,000-10,000 for a complex automation project. Monthly maintenance retainers range from $500-2,500/month. A small agency with 10 clients on retainer is generating $5,000-25,000 MRR.

The market is real and growing. AI automation adds a premium — clients pay more for AI-powered workflows than for simple integrations.

Service Packages

Structure your offerings as packages rather than hourly billing:

Starter Package ($1,500-3,000):

  • Up to 5 scenarios
  • Core integrations (CRM, email, Slack)
  • Documentation and training
  • 30 days of support

Growth Package ($3,000-6,000):

  • Up to 15 scenarios
  • AI integration (Claude or OpenAI)
  • Custom data flows and reporting
  • 60 days of support

Enterprise Package ($6,000-15,000+):

  • Unlimited scenarios
  • Full AI workflow stack
  • Custom integrations and complex logic
  • 90 days of support + priority maintenance

Monthly Retainer ($500-2,500/month):

  • Scenario monitoring and maintenance
  • New scenarios (N hours/month)
  • Additions and modifications
  • Issue resolution

Qualifying Clients

Not every client is a good fit for Make.com. Qualify for:

Sufficient volume: Automation becomes valuable when manual work is happening at scale. A business sending 5 emails per day doesn't need automation. A business sending 500 does.

Clear pain points: The client should be able to articulate specific manual processes that are painful — "we manually enter every form submission into HubSpot and it takes 2 hours a day" is a clear brief. Vague requests take longer and deliver less value.

Willingness to invest: Make.com automation requires business process analysis, testing, and iteration. Clients looking for quick cheap fixes often end up frustrated.

Existing tools: Automation connects existing tools. Clients who've invested in HubSpot, Airtable, and proper SaaS tooling are ready for automation. Clients running on spreadsheets may need tooling setup first.

Project Delivery Process

1. Discovery (1-2 hours): Document the current process in detail — what triggers it, what steps happen, what's the output, what tools are involved, what data flows where. This is the brief.

2. Design (2-3 hours): Map the automation architecture before building. Which scenarios? Which modules? Where does AI add value? What are the edge cases? Get client sign-off before building.

3. Build (variable): Build in Make.com. Start with the happy path, then add error handling and edge cases. Test with real data.

4. Test (1-2 hours): Test with the client, using real data. Identify and fix edge cases.

5. Handover: Documentation, training session, set up monitoring. Deliver the automation live.

6. Support period: Monitor for issues, respond to questions, fix any bugs that surface in production.

Make.com for Teams (Agency Features)

Make.com has features relevant for agencies:

Organisations: Create separate organisations for each client. Each organisation has its own scenarios, connections, and data stores. Clients' data is isolated.

Sharing access: Grant client users view or edit access to their organisation's scenarios. They can monitor without editing; or edit with your oversight.

Scenario templates: Build reusable scenario templates for common client setups (HubSpot enrichment, Shopify order processing). Deploy templates to new clients quickly.

Pricing Your AI Automation Services

AI automation commands a premium. When your Make.com scenarios include Claude or OpenAI for intelligent processing, price accordingly:

  • Simple integration project (no AI): $1,500-3,000
  • AI-enhanced project (classification, summarisation): $3,000-6,000
  • Full AI workflow stack (AI agents, complex reasoning): $6,000-15,000+

AI also creates natural retainer opportunities — AI models need prompt refinement as the client's needs evolve, which ongoing maintenance work justifies.

Recommended Tools

  • Make.com — Automation platform; consider Teams plan for multi-client management
  • Claude API — AI capabilities that justify premium pricing
  • HubSpot — Most common CRM in client stacks
  • Airtable — Flexible database for client operations
  • n8n — Alternative for technical clients who want self-hosted
  • Notion — Documentation and client portals
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