Epic IT is a Perth-based AI agent development company building autonomous AI agents that work across Microsoft 365, Xero, Salesforce, and your line-of-business systems. Built on Epic AI Platform, governed by default, model-flexible by design. Perth, Sydney, Brisbane, and nationwide.
Agents that execute multi-step work without prompt-by-prompt direction
Connected to M365, CRM, accounting, and operational systems
Scoped permissions, audit trails, and human-in-the-loop on high-risk actions
Deployment gates, monitoring, and lifecycle management
AI agent development is the practice of designing, building, and deploying autonomous AI systems that can take actions across multiple business systems on behalf of a user or team. An AI agent goes beyond a chatbot. It uses reasoning to decide what to do next, calls tools and APIs in your business systems, and completes multi-step work with bounded autonomy and an audit trail.
Epic IT is an AI agent development company serving Australian businesses. We build production-grade AI agents that triage requests, process documents, reconcile data across systems, prepare reports, and execute approved workflows across your CRM, accounting platform, file storage, and communication tools. Every agent ships with scoped permissions, identity management, audit logging, and human-in-the-loop gates on actions that touch sensitive systems.
AI Agent Development is part of our broader AI services for business. It sits alongside Managed AI, which provides the platform and standard integrations, and Custom AI Development, which builds bespoke AI applications and data pipelines.
Every agent we build runs on Epic AI Platform, our Azure-hosted layer that sits between your business systems and whichever AI model the agent uses. That model could be Anthropic’s Claude, OpenAI’s GPT-4 class models via ChatGPT Enterprise, Microsoft’s Copilot stack, or open source models on our roadmap. Same governance, same audit trail, same scoped permissions, regardless of which model is doing the reasoning.
If you have been offered a Forward Deployed Engineer for AI agent work, read our breakdown of what that label actually means and when it applies. AI Agent Development engagements require an active Managed IT Services agreement and include the full AI Governance framework as standard. Our cross-platform AI governance white paper explains how that framework extends across every system an agent touches. Agents that do not have governance behind them are a liability, not an asset. We wrote about what most AI agent case studies leave out and why governance is the part that separates the headline from the operating reality.
An AI agent is not one thing. The right architecture depends on the work it has to do. These are the categories of AI agent development we deliver for Australian businesses.
Agents that handle defined business tasks end to end. Invoice processing that reads, classifies, codes, and posts to your accounting system. Service-desk triage that categorises and routes requests with the right context attached. Document extraction that pulls structured data from PDFs, contracts, or forms into your line-of-business platform. These are the highest-ROI agents because the value is measurable and the failure modes are bounded.
Agents that coordinate work across multiple business systems. A new-client onboarding agent that opens an account in your CRM, provisions Microsoft 365, configures the device, sends welcome communications, and assigns the right account team. This is where AI replaces fifteen-step manual workflows with a single supervised process. It is also where governance matters most, because the agent now has access across permission domains.
Agents that answer questions and find information across your SharePoint libraries, ticketing system, contracts, internal wikis, and historical email. Every business has answers buried in documents that nobody can find quickly. A well-built retrieval agent gives your team the answer in seconds with citations back to the source. This is the fastest internal productivity win for most Australian businesses.
Agents that compile reports from raw operational data. Monthly account reviews drafted from CRM, financials, and ticket data. Compliance reports built from multiple source systems. Board packs assembled with commentary, not just numbers. The agent produces the first draft, a human reviews and adds judgement, and the team gets hours back every month.
Conversational agents for support, enquiries, and self-service. Unlike a basic chatbot, a well-built customer agent has access to your real systems and can perform real actions: check an order, raise a ticket, send a quote, or book a callback. Customer-facing agents need stricter guardrails on what they can say and do, and a clear escalation path to a human. We build both into every deployment.
Every agent we build is paired with the controls that make it safe to run in production: scoped per-system permissions, a managed identity, deployment gates, human-in-the-loop approval for destructive actions, and correlated audit logs across every connected platform. We also monitor agent performance, catch drift, and update agents as business processes evolve. An AI agent without ops is a science project. Ours go to production.
Different work needs different models. A reasoning-heavy triage agent might use Anthropic’s Claude. A document extraction agent might use OpenAI’s vision models via ChatGPT Enterprise. A workflow that stays inside Microsoft 365 might use Copilot. Epic AI Platform lets each agent use the right model for the job, with the same governance applied across all of them. If a better model launches next quarter, you swap the model behind the agent, not the agent itself.
Three tiers in our AI service line build AI capability into your business. They are not alternatives. They build on each other.
Managed AI is the platform layer. It provides the governed AI environment, the cross-platform connectors, and a library of standard integrations and workflows we have built and operate for clients. Most businesses start here.
AI Agent Development is what we build inside that platform when a standard integration is not enough and you need a purpose-built agent for a specific business workflow. Operations-focused. The buyer is usually a COO, operations manager, or department head who wants AI doing real work, not a chatbot.
Custom AI Development is the software-engineering layer above agents. When you need a bespoke AI-powered application, a custom data pipeline, or AI-accelerated software built for your business, that is Custom AI Development. The buyer is usually a CIO, CTO, or technology lead.
Not sure which tier fits your situation? Start with an AI Readiness Assessment. We map your current AI use, identify the highest-value opportunities, and recommend the right starting point.
A clear, audit-ready process from first conversation to production agent.
An AI agent uses reasoning to take actions across multiple systems, not just respond to messages. A chatbot answers questions inside a chat window. An agent might read a new email, check the customer’s record in your CRM, look up the relevant policy in SharePoint, draft a reply, schedule a follow-up, and update the ticket, all in one pass, with human approval on the steps that matter. The defining features are autonomy, tool use, and bounded decision-making.
Costs depend on the complexity of the agent, the number of systems it touches, and how much governance is required. A single-task agent on top of Epic IT’s Managed AI platform can typically be scoped and delivered as part of an ongoing engagement. A custom multi-system orchestration agent is a larger build, scoped through our monthly steering committee. We share concrete pricing during the AI Readiness Assessment based on your actual requirements.
Epic IT is a Perth-based managed IT services and AI agent development company founded in 2003. We serve more than 100 businesses across Western Australia and the eastern states. We hold Microsoft Solutions Partner status and have been named a CRN Fast50 company four times. Our AI agent development team works with clients across Perth, Sydney, Brisbane, Melbourne, and regional Australia.
AI Agent Development builds autonomous AI systems that perform work across your existing business systems. Custom AI Development builds bespoke AI-powered applications, data pipelines, and software products. Different buyers, different deliverables. Many businesses end up needing both. Agent development typically delivers faster operational ROI because it works on top of your existing systems rather than replacing them.
Three layers of protection. First, scoped permissions: every agent gets the minimum access required for its job, reviewed quarterly. Second, human-in-the-loop gates: any action that modifies financial records, sends external communications, or touches sensitive data pauses for human approval before execution. Third, audit trails: every agent action is logged in a correlated audit record across every system it touched. This is the governance framework that makes agents deployable in regulated businesses.
Microsoft 365, Xero, MYOB, Salesforce, HubSpot, Monday.com, Asana, Employment Hero, Jira, Zendesk, ConnectWise, and any platform with an API. Each connection passes a security review and deployment gate before going live. New integrations can be added through our monthly steering committee as your needs evolve.
Most businesses do. The Managed AI platform provides the governed environment, identity model, and operational layer that custom agents rely on. Building an agent without that foundation in place is technically possible but creates governance debt that has to be paid back later. If you already have a managed AI platform in place from another provider, we can assess whether agents can sit on top of it or whether the platform itself needs uplifting first.
That depends on what the agent has to do. Reasoning-heavy work suits Anthropic’s Claude. Document extraction and vision tasks often suit OpenAI’s models via ChatGPT Enterprise. Workflows that stay inside Microsoft 365 may use Copilot. Open source models are on the roadmap for clients with sovereignty or cost requirements. The decision is made during architecture design and reviewed in your monthly steering committee. Epic AI Platform lets us swap the model behind any agent without rebuilding the governance or the integrations.
How you hold the agents is set in your agreement, and we structure it either way. Some clients own the build outright as a company asset. Others prefer we retain and maintain it under licence so our engineers keep improving it. Either way, the agents run through Epic AI Platform, our governed gateway, which handles identity, scoped permissions, and the audit trail across every system they touch. Call us on 1300 EPIC IT to talk through the ownership and exit terms that fit your business.
