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Flowstream

Make, Zapier & n8n

Automations that connect every tool you run on.

We design and build the automation layer between your systems on Make, Zapier or n8n, from one-click project launches to two-way syncs and AI steps, chosen for your requirements rather than one favorite tool.

Make, Zapier, n8n and webhooks connecting the tools a business runs onAn automation tool sits in the middle of email, a calendar, Monday.com, ClickUp, Slack and HubSpot, changing between Make, Zapier, n8n and webhooks. ChatGPT and Claude sit below it. In turn: an email is read by ChatGPT and a request is created in ClickUp; a reply is classified by Claude and the team is notified in Slack; a meeting is booked and the contact is updated in HubSpot; a Monday.com board is updated and a client email is sent.AUTOMATED · VIA MAKEAUTOMATED · VIA ZAPIERAUTOMATED · VIA N8NAUTOMATED · VIA WEBHOOKSEmail read by ChatGPT → request created in ClickUpReply classified by Claude → team notified in SlackMeeting booked → contact updated in HubSpotBoard updated → client email sentZapierWebhooksEmailCalendarmondaySlackChatGPTClaudeILLUSTRATIVE EXAMPLE
  • ClickUp
  • Monday.com
  • HubSpot
  • Airtable
  • Xero
  • OneDrive
  • Gmail
  • Slack
  • Claude
  • ChatGPT
  • Webhooks
  • APIs

Sound familiar?

What we usually fix first.

The problems we see most often before a business automates, and the ones our systems are designed to remove.

About Make, Zapier and n8n

What Make, Zapier and n8n is good for.

Where Make, Zapier and n8n shines, and when it is usually the right choice for a team.

  1. 01Make: visual, multi-branch logicRouters, iterators, aggregators and error handlers on one canvas, so complex, data-heavy flows stay readable.
  2. 02Make: AI agents in the builderAgents, sub-agents and MCP tools inside the same visual scenarios, with credit-based pricing.
  3. 03Zapier: the widest app catalogFast, linear automations that non-technical teams can build and own.
  4. 04Zapier: governance at scaleEnterprise admin controls, app and action restrictions, and AI guardrails.
  5. 05n8n: self-hosting and controlA free self-hosted Community Edition for data residency and privacy, with code nodes and version control.
  6. 06n8n: many-step runsPricing per workflow execution, however many steps it has, which suits long, technical flows.

Examples

Built on Make, Zapier and n8n, recreated for you.

Real systems we have built, recreated with sample data so you can watch how they work.

Illustrative workflow · Sample data

Illustrative automation: inbox to ClickUpSample data. A Make scenario watches an inbox. Only emails that match the sender and keyword rules go through, so a newsletter is skipped. OpenAI extracts the request, property, time and contact, the result is parsed, and ClickUp is searched for the lead. No match is found, so the router creates a new request in ClickUp with every field filled. The scenario runs every 10 minutes during business hours and hourly after hours.InboxLEASING INBOXjamie@example.comTour request · 142 Harbor View Ave✓ Matchnews@example.netMarket newsletter, OctoberSkipagent@example.comOffer on 18 Elm CourtExtracted by AIREQUESTTourPROPERTY142 Harbor View AveWHENThu, 2:00 pmCONTACTJamie OrtizGmailWATCHFilterRULESOpenAIEXTRACT{ }JSONPARSEClickUpFIND LEADRouterROUTENew leadLead found · add updateNew lead · create requestNew request · TourNEW INQUIRYREQUESTTourPROPERTY142 Harbor View AveWHENThu, 2:00 pmCONTACTJamie OrtizSCHEDULEBusiness hoursevery 10 minAfter hourshourly
  1. Email arrives
  2. Rules filter it
  3. AI extracts the details
  4. ClickUp updated

One example: AI-assisted intake

Emails become organized requests

  • Only emails that match set rules, like the sender’s domain and key words, are processed.

  • AI reads each one and pulls out the details: the request, the property, the date.

  • Existing leads get an update and new ones get a request with every field filled, on a schedule that runs more often during business hours.

Possibilities

What we can build between your tools.

A sample of what we set up, always shaped around your process. We help you pick the pieces that matter first.

Not sure where to start with automation? We’ll help you choose.

Book a Discovery CallFREE

Credentials

Recognized by Make.

Credentials issued to Flowstream by the platform itself.

Case studies

Automations in production.

Systems we designed and built, and what changed for the teams that run them.

See all case studies →

What’s new · as of October 2026

Recent Make, Zapier and n8n updates.

The Make, Zapier and n8n changes we are watching, and what they mean for teams like yours. Each one links to the original announcement.

  1. July–August 2026

    Make: Maia and AI Sub-Agents

    Maia turns plain-language requests into scenarios and agents in the visual builder, and agents can now hand tasks to specialist sub-agents.

    Make: What’s new
  2. June 2026

    Make: MCP tools and the Make MCP Server

    Agents can use MCP tools, and ChatGPT, Claude and Cursor can call Make scenarios as tools through the Make MCP Server.

    Make MCP
  3. September 2026

    Zapier: Next Gen Zaps in early access

    Build or deploy Zaps from an AI tool or natural language, with branches that rejoin, nested loops, continue-on-error and human-in-the-loop pauses.

    Zapier product updates
  4. June 2026

    Zapier: model-based pricing for AI steps

    AI by Zapier steps cost tasks by model tier, from one shared task pool covering automation, AI and MCP.

    Zapier help center
  5. September 2026

    n8n: Agents and n8n Assistant

    A new agent type that works out the steps toward a goal, in preview, and an assistant that plans, builds and debugs workflows from a description.

    n8n blog
  6. October 2026 · v2.43

    n8n: agent spend caps and Browser Use

    Monthly and per-session spend caps for agents, and Browser Use available to all users.

    n8n release notes

From our blog

All articles →

Get started

New to Make, Zapier and n8n? Create your account.

Start on the platform that fits, then book a free discovery call and we’ll design the automations around how your business works.

Some of these are affiliate links: if you sign up through them, Flowstream may earn a commission at no extra cost to you.

How we work

Discover, build, support.

Every engagement follows the same three steps, so you always know what happens next.

  1. 01

    Discover & Design

    We map how your business actually runs: every process, tool, and handoff. Then we design a clear system blueprint you approve before anything is built.

  2. 02

    Build & Implement

    We configure your platforms, automate workflows, and connect integrations, then test everything against the requirements we agreed.

  3. 03

    Support & Optimize

    We train your team and hand over a system they can run. Ongoing support and optimization are available as custom-quoted arrangements.

The first step is a free discovery call.

Book a Discovery CallFREE

Client reviews

In our clients’ own words.

Short excerpts from reviews of our work.

  • “Understands the tasks and even suggests better ideas to make it work perfectly.”

    Client review

  • “The return on his work is 10x.”

    Client review

  • “Built a solid project management system on ClickUp that saved us a lot of time!”

    Client review

  • “From concept through implementation, clearly communicating each step of the way.”

    Client review

  • “Worth hiring if you want someone who will advise you and build the system rather than only putting generic flows together.”

    Client review

  • “Easy to communicate with, and did an excellent job.”

    Client review

  • “Helped us build and organize our ClickUp workspace perfectly.”

    Client review

  • “We will utilize him on an entire organization implementation later this year.”

    Client review

  • “I love his communication, his work ethic, and the way he handles his business.”

    Client review

  • “Excellent! Will be using again for more projects.”

    Client review

Let’s talk about your systems.

Book a Discovery CallFREE

FAQ

Common questions.

What teams ask us most about automation.

Make, Zapier or n8n: which should we use?

It depends on your requirements: the systems you connect, the complexity of the logic, volume, and who will maintain it. We recommend the option that fits, and we also build direct API and webhook integrations where they make more sense.

Can you fix or take over automations we already have?

Yes. We review existing scenarios, zaps or workflows, fix what breaks, rebuild what is fragile, and document everything so your team knows what runs where.

Can automations include AI?

Yes. We add AI steps where they remove manual reading, such as classifying replies, extracting details from emails, or deciding where a request should go, with rules in front so AI only runs on what matters.

What happens if an automation fails?

We build with run logs, error handling and alerts, test end to end with your team before launch, and hand over documentation so failures are visible and easy to fix.

Still have a question? We are happy to help.

Contact Us

Ready to connect your tools?

Tell us where your team copies data between systems today. On a free discovery call, we’ll map the automations that take it off their plate.