You've built the automations. Now your client needs to use them — and sending them a login to N8N isn't going to work. Here's how to build a client portal that bridges the gap.
Why a dedicated client portal matters
When clients interact directly with your automation back-end — whether that's N8N, Make, or a raw API — a few things happen, none of them good:
- They see complexity that erodes their confidence in the product
- They can accidentally break workflows
- Every support request requires you to dig through their activity manually
- The product feels like your tool, not theirs
A client portal abstracts all of that away. The client sees a clean interface with their logo, their agents, their tasks. You retain full control of the back-end.
What a client portal for AI agents needs
Not all portals are equal. A portal built for AI agents has different requirements to a generic client dashboard. At minimum, it needs:
| Feature | Why it matters | |---|---| | Conversational interface | Clients need a natural way to trigger agents without learning prompt syntax | | Task tracking | Async agent tasks take time — clients need to see what's running and what completed | | Workflow shortcuts | Common tasks should be one click, not a conversation | | History | Clients (and you) need to review what was run and what the output was | | Branding | The portal should feel like your client's product, not a third-party tool | | User management | Clients have teams — multiple logins, different permission levels |
The two approaches
Build it yourself
You can build a custom front-end using a framework like Next.js or React, proxying requests through to your automation back-end. This gives you full control but comes with real costs:
- Significant upfront development time (weeks, not hours)
- Ongoing maintenance as your agents evolve
- Auth, user management, and billing to handle yourself
- Every new client org requires configuration work
This makes sense if you have a highly specific use case, or if you're building a fully productised SaaS.
Use a purpose-built platform
The faster route is a platform designed specifically for this layer — one that handles the portal UI, user management, and agent integration out of the box, and lets you focus on the agents themselves.
When evaluating platforms, look for:
- Agent integration flexibility — can it connect via webhook, HTTP, MCP, or A2A?
- White-label branding — per-organisation logos, colours, and domain
- Developer vs end-user separation — you manage the back-end, clients only see their interface
- Monitoring — can you see which agent tasks succeeded or failed across all your clients?
Connecting your agents
However you build the portal, the connection layer is the same. Your agents expose an endpoint — a webhook, an HTTP API, or an MCP server — and the portal calls it when a user triggers a task.
A well-designed integration looks like this:
User submits task via portal UI
→ Portal routes to correct agent endpoint
→ Agent runs (N8N workflow / Make scenario / Claude Code agent)
→ Result returned to portal
→ User sees output in task panel
The portal never needs to know how the agent works. It just needs to know where to send the request and where to display the result.
Setting up organisations
Most AI automation agencies manage multiple clients at once. Your portal architecture should reflect this:
- Each client is an isolated organisation with its own users, agents, and history
- Developers sit above organisations — they can manage all client orgs from one place
- Admins within a client org can manage their own users without involving you
This separation keeps things clean and makes it easy to onboard a new client without touching existing ones.
Handing it over to the client
Once the portal is live, the handover is the product. Walk the client through:
- How to submit a task (conversational or via workflow shortcuts)
- How to check task status and review results
- How to flag issues (ideally through a built-in bug reporting flow)
- Who to contact if something goes wrong
The less they need to contact you for routine usage, the more scalable your agency becomes.
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