Custom AI Agents
Agents built against your own data and processes
Tech Agency Australia builds agents on your documents and your rules, deployed into your stack. Every agent ships with written guardrails covering what it must never do.
What does Custom AI Agents include?
Requirements & Architecture
Deep-dive discovery to map your exact use case, data sources, tool access requirements, and performance expectations.
RAG Knowledge Systems
Ground your agent in your proprietary data using retrieval-augmented generation — answers from your documents, not hallucinations.
Tool & API Integration
Give your agent the ability to act — CRM updates, email sends, web searches, database queries, and custom API calls.
Evaluation & Testing
Automated test suites that validate agent accuracy on your real-world scenarios before deployment.
Monitoring & Feedback
Production monitoring dashboards, accuracy tracking, and human feedback loops that continuously improve agent performance.
Ongoing Optimisation
Monthly model updates, prompt refinements, and retraining on new data to keep your agent performing at its best.
Questions about Custom AI Agents
What makes a custom AI agent different from off-the-shelf AI tools?
Custom AI agents are built specifically for your business logic, data, workflows, and goals. They integrate with your existing systems, follow your compliance requirements, speak your brand voice, and improve over time on your specific data — unlike generic tools that force you to adapt your processes to their limitations.
What types of custom AI agents can you build?
We build sales prospecting agents, customer support agents, content generation agents, research agents, data analysis agents, document processing agents, scheduling agents, competitive intelligence agents, and multi-agent systems that combine several of these capabilities.
Which AI models do your custom agents use?
We select the optimal model for each use case — Claude (Anthropic) for nuanced reasoning and long documents, GPT-4o for multimodal tasks, Gemini for Google Workspace integration, and specialised models for domain-specific tasks. We're model-agnostic and choose based on performance requirements.
How do you ensure my custom AI agent stays accurate?
We implement retrieval-augmented generation (RAG) to ground agents in your verified data, set up evaluation pipelines that automatically test agent responses, provide human feedback loops for continuous improvement, and conduct monthly reviews to retrain on new data.
Ready to scope something?
A strategy call runs 30 minutes on Australia/Melbourne time. You describe the process you want to automate, and we tell you whether it is worth building, roughly what it costs and what could go wrong. No deck.
or call 0485 973 899 · info@techagency.com.au