Build AI Agents
that work for your team

Give your team AI that does the work, not just the thinking. We build agents using ChatGPT, Claude, Copilot Studio or whichever model fits your environment. They read emails, create tickets, update systems and follow up on tasks without anyone lifting a finger.

ChatGPT
Claude
Copilot Studio
10+ Years in Business
Microsoft Partner

Prefer to talk now? Call us directly on 1300 160 336

Operations Agent Helpdesk · Outlook · CRM · SharePoint · Calendar
Online
5 tools
JM
Handle the support email from Johnson & Co about their overdue invoice
On it. Working across 3 systems.
Created ticket #4821
Helpdesk0.8s
Sent acknowledgement to sender
Outlook1.2s
SLA reminder set (2 hours)
Calendar0.4s
All done. Ticket created, Johnson & Co notified and accounts will get an alert if no response within 2 hours.
Check if Meridian Group submitted their compliance docs and chase them if not
Checking now.
Searched client record
CRM0.6s
No documents found in portal
SharePoint1.1s
Sent follow-up to Sarah Chen
Outlook0.9s
Meridian Group hasn't submitted their compliance documents. I've emailed Sarah Chen with a reminder and flagged the record in CRM.
Give your agent a task...

Our AI Agent Services

We design and build AI agents that handle real business tasks across your existing systems. From reading emails and creating tickets to chasing overdue documents and posting team updates, your agent works in the background so your team doesn't have to.

Multi-System Orchestration

Your agent connects to the tools your team already uses. CRM, email, helpdesk, SharePoint, calendar. One instruction triggers actions across all of them.

Customer-Facing Agents

Agents that respond to enquiries, triage support requests and resolve common issues before they reach your team. Built with ChatGPT, Claude or Copilot Studio and available around the clock.

Internal Operations Agents

Back-office agents that handle data entry, compliance chasing, onboarding checklists and routine reporting. Powered by Azure OpenAI or Claude, they run quietly so your team can focus on higher-value work.

Agents Built for Your Workflows

Every agent we build is custom. We map your processes, identify where an agent saves the most time and design it around the way your team actually works.

Agent Monitoring and Optimisation

We don't just build and leave. Your agents are tracked for performance, accuracy and usage. When something needs tuning, we handle it before it becomes a problem.

Agent Roadmap and Planning

Not sure where agents fit in your business? We map your workflows, identify the best candidates for automation and build a phased rollout plan so you start with the highest-impact wins.

See something that fits? Tell us what you need →

AI your team actually uses. Not AI that gathers dust.

Plenty of AI tools get built and then quietly ignored. The difference comes down to whether your team trusts the tool and whether someone helps them fit it into their day. We build that in from the start. You work directly with the people doing the build the whole way, so a real person stays responsible for it being used, not just handed over.

  • Built to make your team's job easier, not give them another system to wrestle
  • One team from first call to finished work, no middlemen
  • We stay until your staff are genuinely using it
How we get you there
1
Discover
Find the real problem
2
Build
Built with you
3
Roll out
Team brought on
In use
Part of daily work

How we build AI agents your team actually uses

An AI agent is only useful if people trust it and keep using it. Here is how we build agents that earn a place in the day to day, not ones that gather dust.

01

Scope the task

We pick one real, repetitive task with a clear owner, rather than trying to automate everything at once.

02

Connect the data

We give the agent secure access to the right documents and systems, so its answers are grounded in your information.

03

Build and guardrail

We define what the agent can and cannot do, add guardrails and keep a human in the loop where it matters.

04

Pilot with real users

We put it in front of a small group, watch how they actually use it and tune it on real questions.

05

Measure adoption

We track usage and outcomes, then expand to the next task once it is genuinely earning its keep.

See how we solve problems like this across our recent work →

Ready to start? Book a free initial conversation →

Live example

See an AI agent in action. Meet Jacky.

Jacky is a live AI agent running on this site right now. Built on the Claude API and connected to our service knowledge base, it doesn't just answer questions. It works through your problem, suggests the right services and can submit an enquiry on your behalf. It's a working example of the kind of agent we build for clients.

Takes action, not just answers. Jacky understands your situation, recommends services and captures your details. It's an agent that does things, not a search bar that lists results.
Same approach as client projects. Claude API, custom knowledge base, lead capture and handoff logic. The same components that power the agents we build for organisations like yours.
Try before you buy. This is what your customers or staff would experience. Ask Jacky something and see how a purpose-built AI agent actually feels to interact with.
Try it yourself. Click the chat icon in the bottom corner.
Want an agent like this for your organisation? Tell us what you need →
OfficePro Consulting
This conversation may be stored to help us follow up. Privacy policy
Happy to help! What's the challenge you're facing?
Our property managers waste hours every day triaging maintenance requests manually. We need something that can handle this automatically
That's a great use case for an AI agent. We can build one that reads incoming requests from email or a web form, classifies urgency, dispatches the right contractor and keeps tenants updated automatically. How many properties are you managing?
About 1,500 across Melbourne
At that scale you'd see a big impact. We recently built something similar for a property group managing 2,200+ properties. We'd typically use Copilot Studio for the agent framework with Azure AI Services for intent classification. Want me to capture your details so our team can walk you through how it would work?
Type a message...

Frequently asked questions

01

What's the difference between an AI agent and a chatbot?

A chatbot follows a script. An AI agent understands context, makes decisions and takes actions across your business systems. It can read an email, create a ticket, notify a customer and set a reminder without anyone telling it each step. Think of it as a team member that handles repetitive tasks independently.

02

What systems can an AI agent connect to?

Most business tools your team already uses. Email (Outlook, Gmail), CRM platforms (Salesforce, Dynamics 365, HubSpot), helpdesk systems, SharePoint, Teams, calendar and custom line-of-business applications via API. We design each agent around your existing environment so there's no need to change platforms. If you're unsure whether your systems are compatible, our API and Integration Services team can assess that for you.

03

How long does it take to build an AI agent?

A focused agent handling a single workflow typically takes 4 to 6 weeks from scoping to go-live. More complex agents that span multiple systems or need custom integrations may take longer. We scope tight and build in phases so you see results early.

04

Which AI model do you use?

Whichever one fits your requirements. We work with ChatGPT (Azure OpenAI), Claude (Anthropic), Copilot Studio and other models depending on what your agent needs to do, where your data lives and your organisation's compliance requirements. We're model-agnostic and will recommend the best fit, not the most expensive option.

05

Is my data safe with an AI agent?

Yes. Your data stays in your own environment. We build on enterprise platforms like Azure and Microsoft 365 where you control access, encryption and retention policies. Agents only access the systems and data you explicitly connect them to, and we configure role-based permissions so they can't see anything they shouldn't.

06

What happens if the agent gets something wrong?

Every agent we build includes human oversight at key decision points. For high-stakes actions like financial approvals or emergency escalations, the agent flags the decision for a person to confirm rather than acting on its own. We also monitor agent performance after launch and tune the logic based on real usage patterns.

Stop doing work your AI agent should handle.

Whether it's support emails sitting unread, compliance docs going unchased or your team spending hours on tasks an agent could finish in seconds, there's a better way. Start with a free initial conversation and we'll walk through what an agent could do for your team, how long it takes to build and what it costs. No commitment, no sales pitch, just a straight conversation.

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