AI Agents for
Business
What they are, when to use them, and how to get started - explained simply
What is an AI Agent?
An AI agent is software that can work on tasks independently - like having a virtual employee that thinks for itself.
Unlike regular chatbots that just answer questions, agents take action: they can make calls, send emails, book appointments, and complete multi-step tasks.
Chatbot
Answers questions
Agent
Does the work
Three Building Blocks
Every AI agent is made up of these three components
What it is:
The intelligence that makes decisions
Examples:
ChatGPT, Claude, Gemini
SME Tip: Start with the smartest model, optimise for cost later
What it is:
What the agent can actually do
Examples:
Send emails, update CRM, book calendar, make calls
SME Tip: Start with 2-3 tools, not 20
What it is:
Rules and boundaries for the agent
Examples:
"Always ask for a callback number", "Escalate refunds over $500"
SME Tip: Write instructions like you're training a new employee
Real Examples in Action
AI agents we've tested and use in our business
What it does:
Answers phone calls, asks qualifying questions, books appointments, blocks spam
Best for:
Trades, real estate, healthcare, anyone missing calls
How it works:
You forward your phone when busy, AI handles the call, sends you a summary
"We use Trillet for after-hours calls. It pays for itself in the first qualified lead."
What it does:
Searches the web on its own, reads many sources and writes a report with citations
Best for:
Market research, competitive analysis, data collection
Check the cited sources before you act on the report.
"These agents are built into ChatGPT, Claude and Gemini, so try the one you already pay for first"
What it does:
Connect AI to your specific tools and workflows
Best for:
Unique business processes, CRM automation, internal operations
How to start:
Define one repetitive task, add AI, test, expand
Tools to use:
Replit, Zapier, Make.com
When to Use an Agent vs Traditional Software
A simple decision guide
- Tasks require judgment (not just if-then rules)
- Situations are ambiguous or vary case by case
- You'd normally need to train a human
- Examples: Qualifying leads, handling complaints, research
- Tasks are simple and predictable
- Clear-cut rules work fine
- No interpretation needed
- Examples: Sending reminders, form submissions, simple automation
Getting Started Checklist
Follow these steps to add your first AI agent
- 1
Pick ONE repetitive task that takes your time
- 2
Write down how you'd explain it to a new employee
- 3
Start with a simple tool (Trillet for calls, ChatGPT for text tasks)
- 4
Test with real scenarios before going live
- 5
Add more capabilities once the basics work
Safety & Control
Keep these principles in mind when deploying AI agents
Always have human oversight for important decisions
Set clear boundaries (what the agent can and can't do)
Start small and expand gradually
Monitor regularly - agents need supervision like any employee
Ready to add an AI agent to your business?
Let's discuss which AI agents would work best for your specific needs
Book a Consultation