C4Tsite
Automation & AI Agents

Not only websites. Systems that work after launch.

C4Tsite also builds automation workflows with tools like Dify and n8n, including local-hosted AI agents and customised internal workflows for companies that need to save cost and move faster.

Discuss an automation workflow
What this means

Connect your website, team, tools, and AI into one operating flow.

A good website brings enquiries in. A good automation layer helps your team classify, route, follow up, and complete the work with less manual coordination.

  • Lead intake to CRM, Slack, WhatsApp, email, or Notion
  • Company knowledge agent for SOPs, documents, and FAQs
  • Internal approval workflows and reminder systems
  • Private/local hosting options for sensitive team data
Original C4Tsite automation workflow and AI agent visual
Industry automation examples

One automation layer can look different for every business.

Retail, logistics, clinics, education, property, and professional services all need different workflows. The same principle stays consistent: connect intake, decisions, reminders, and knowledge.

Retail and food business automation dashboard
Logistics automation and shipment workflow visual
Project management AI agent workflow visual
Self-hosted AI workflow automation visual
Clinic appointment automation visual
Education and training automation visual
Property service automation visual

Where automation fits inside a company.

We keep the offer practical: workflows should remove repeated admin, reduce handoff mistakes, and help your team answer faster.

01

Workflow automation

Map repeated tasks, approval steps, handoffs, and notifications into n8n-style workflows that your team can actually maintain.

02

Self-hosted AI agents

Design local or private AI agent setups for company knowledge, SOPs, project files, and internal support flows.

03

Dify agent products

Create Dify-based chat and task agents that answer questions, classify requests, draft outputs, and route work to the right person.

04

PM AI agent example

A project-management agent can summarize meetings, update task status, flag overdue work, prepare client follow-ups, and reduce coordination cost.

From messy task flow to usable AI operations.

The implementation can start small: one workflow, one agent, one measurable team bottleneck.

01

Workflow audit

02

Data and tool map

03

Agent prompt design

04

n8n or Dify build

05

Local hosting setup

06

Team handover

Example

PM AI agent for a service team.

  • Reads project notes, meeting summaries, and task lists
  • Creates weekly client update drafts
  • Flags overdue tasks before they become delivery risk
  • Answers internal questions from company SOPs
Business impact

Less coordination cost, faster response.

  • Reduce repeated PM admin and status chasing
  • Standardise handoff quality between team members
  • Keep company knowledge searchable and reusable
  • Let people focus on decisions instead of copy-paste work