You’ve validated an AI use case—now it’s time to make it real.

Low Code/No Code AI Implementation: Deploy Chat Agents, Copilots & Automate Workflows

This service helps you deploy working AI agents, copilots, and automations across your operations using platforms like Make, Zapier, and Voiceflow. We connect tools like ChatGPT, Gemini, and Claude into your workflows—without needing a software engineering team.

The Value of Low Code/No Code AI Automations

AI doesn’t need to be built from scratch. The fastest gains come from automating what you already do—using tools your teams can own.

✅ You want working AI agents—not a backlog of ideas
We help you deploy copilots, chat agents, and assistants that automate real work.

✅ You don’t want to wait on IT
We use platforms like Make, Zapier, and n8n—no-code tools that connect across your stack.

✅ You’ve trialled AI—now it’s time to scale the value
We help you operationalise what works into repeatable, measurable business impact.

✅ You need to integrate LLMs with your tools
We connect ChatGPT, Claude, Gemini, and other AI models into daily processes—from onboarding to reporting to customer queries.

By the end of this you will have:

Deployed AI Agents live in your business: copilots, task handlers, internal assistants.

Connected Workflows using tools like Make or Zapier to automate tasks across your apps.

A Documented Process so your team knows how the system works—and can manage it.

Zero Dev Dependency—we do the build using low-code/no-code tools your ops teams can run.

Ongoing Value through automation, consistency, and freed-up time for higher-value work.

This is where your AI starts delivering—inside the tools your business already runs on.

Who Is This AI Pilot For?

This service is designed for businesses who have already validated an AI idea—and want to turn it into something real:

- Ops & Process Teams – Deploy AI agents to handle tasks, generate reports, or triage inbound queries.

- Marketing, HR & Support – Automate repetitive communication, onboarding, content creation, and service responses.

- Digital & Innovation Leads – Build working AI flows without needing in-house development capacity.

If you’ve run a successful AI pilot, this is how you turn it into a live, self-sustaining solution.

Low Code/No Code AI Implementation

This implementation runs over 4 weeks and includes:

Phase 1: Finalise Use Case and Scope
We select one or more use cases with the strongest operational value. Examples: automate onboarding, power a chat agent, generate reports, or triage form submissions.

Phase 2: Tool Configuration and AI Model Selection
We configure platforms like Make, Zapier, or n8n to connect your systems. LLMs like ChatGPT, Gemini, and Claude are used where they add the most value.

Phase 3: Build and Integrate Agent Workflows
We develop your internal AI agent or copilot. Could be a chat agent, auto-responder, summariser, or workflow executor. We ensure it works inside your tools (e.g. Google Workspace, Slack, CRM, web forms).

Phase 4: Documentation, Training, and Handover
You get full documentation: triggers, flows, prompt logic, edge cases. We hand over to your team with walkthroughs and templates for future builds.

Phase 5: Monitor, Optimise, and Expand
We review early usage, resolve blockers, and advise on expansion. You’ll have a playbook for scaling similar flows across the business.

This is how you go from testing AI—to building it into your operations.

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