Custom AI Agent Development for Australian Businesses
Agents that take action inside your systems, not chat demos. Built and deployed in weeks.
01Overview
Where this fits into your business
"AI agent" gets used to describe everything from a chatbot widget to a fully autonomous system, and most of what gets built under that label never leaves the demo. It answers questions convincingly and does nothing else.
A real AI agent plans a task, calls the tools it needs, takes an action inside your actual systems, checks the result, and knows when to stop and ask a human. That's a meaningfully harder engineering problem than a chatbot, and it's the only version worth paying for.
At Bocati Solutions, we build AI agents that are wired into your CRM, inbox, accounting software, or internal tools from day one, with explicit guardrails on what they can do autonomously and what needs your sign-off. Delivered in weeks, using the same AI-accelerated development process behind our custom software and automation work.
If you've looked at "AI agent" services and come away with a lot of strategy slides and no working software, this is built for the opposite: a scoped agent, a fixed price, and something running against your real data inside a few weeks.
02What's Included
Everything your business needs
An AI agent plans and executes multi-step work, not just single responses. Here's what we build most often:
Inbox & Email Triage Agents
Reads inbound email, classifies intent, drafts or sends responses, and routes anything it's not confident about to a human. Cuts response time without losing control of tone or accuracy.
Customer Support Agents
Answers customer questions grounded in your actual documentation, order data, or knowledge base, not a generic model guessing. Escalates cleanly when it hits the edge of what it knows.
Data Entry & Reconciliation Agents
Reads incoming invoices, forms, or reports and enters them into your CRM or accounting software, flagging discrepancies for review instead of entering them silently.
Research & Reporting Agents
Pulls data from multiple internal and external sources, compiles it into the report your team currently spends hours building manually, on a schedule or on demand.
Internal Ops Copilots
Sits inside your internal tools and answers "what's the status of X" or "who's behind on Y" questions instantly, pulling live data instead of someone checking three systems.
Workflow Orchestration Agents
Coordinates a multi-step process across several systems — for example, qualifying a lead, updating the CRM, and triggering an onboarding sequence — with a human approval gate wherever the stakes are high.
03Transparent Pricing
Fixed-price packages. No surprises.
Every project starts with a clear scope and a fixed price. No hourly billing, no scope creep, no nasty invoices.
- One well-defined task or workflow
- One system integration
- Human-in-the-loop for edge cases
- Basic logging and monitoring
- 30 days post-launch support
- Multi-step planning and tool use
- Multiple system integrations
- Custom guardrails and approval gates
- Error handling and fallback logic
- Dashboard for reviewing agent activity
- 30 days post-launch support
- Multiple coordinated agents
- Advanced human-in-the-loop workflows
- Full audit trail and monitoring
- Custom permission model
- Ongoing tuning as usage patterns emerge
- 60 days post-launch support
04Best fit
The AI agent page should own action-taking AI intent.
Use this page when the buyer wants AI that reads context, calls tools, updates systems, and knows when to ask a human.
Use AI agents when rules are not enough
Rules-based automation is best for predictable if-this-then-that work. AI agents fit messy inputs: emails, documents, support requests, notes, research, and multi-step operational decisions.
Tie agents back to CRM and SaaS
The most valuable agents usually live inside a broader system: scoring leads in a CRM, preparing onboarding in a portal, or handling assisted workflows inside a SaaS product.
Guardrails are the differentiator
This page should keep emphasising permission boundaries, human approval gates, logging, staging tests, and safe failure behaviour. That is where serious buyers separate production AI from demos.
Avoid generic AI agency positioning
The strongest angle is not AI strategy. It is fixed-scope software delivery where the agent is integrated into the actual systems the business already uses.
05Our Process
From brief to live in weeks
Use-Case Mapping
We map the exact task end-to-end: what triggers it, what data it needs, what "done correctly" looks like, and where a human must stay in control.
Scope & Fixed Quote
A defined scope and fixed price before any build starts. No open-ended "AI strategy" retainer.
Weekly Builds
Working agent on a staging environment every week, tested against real (anonymised where needed) data from your business, not synthetic demo data.
Guardrail Testing
We deliberately try to break it: bad inputs, ambiguous requests, edge cases. The agent needs to fail safely, not confidently do the wrong thing.
Launch & Monitor
Goes live with logging so you can see exactly what the agent did and why. Full documentation and handover — you own it outright.
06Further Reading
Guides worth reading before you decide
Pricing guides and real-world insights to help you plan your project.
Custom software, Australia-wide.
Gold Coast-based delivery for Australian businesses that need practical CRM, SaaS, and AI agent systems.
07Common Questions
Frequently asked questions
Can I develop my own AI agent?
Technically yes — the underlying models and frameworks are publicly available. In practice, most businesses don't have in-house AI engineering capacity to design the guardrails, tool integrations, error handling, and security review a production agent needs. DIY agents built from tutorials tend to work in a demo and fail quietly in production. That gap is what a development partner closes.
How much does it cost to develop an AI agent?
A single-task agent typically runs $8,000–$18,000 over 2–3 weeks. A multi-step agent integrated with your existing systems runs $18,000–$45,000 over 4–7 weeks. A multi-agent platform with monitoring and human-in-the-loop workflows runs $45,000–$90,000+ over 8–12 weeks.
What's the difference between an AI agent and a chatbot?
A chatbot answers questions in a single turn. An agent plans and executes multi-step tasks — it reads data, calls tools, takes an action, checks the result, and decides what to do next, within guardrails you define.
Is my business data safe with an AI agent?
Every agent is scoped with explicit permission boundaries: what it can read, what it can act on autonomously, and what needs human approval first. Agents run on your own infrastructure and accounts, not a third-party black box, so every action is auditable.
How is this different from your business automation service?
Business automation typically means rules-based workflows: if X happens, do Y. AI agents handle work that doesn't fit a fixed rule — where the agent has to read unstructured input, make a judgment call, and choose the right action from several options. Many projects use both together.
Get started
Tell us what is slowing you down. We will tell you what it takes.
A few lines about the problem is enough. No decks, no procurement forms.
- 1
We reply within 48 hours
A real answer from the engineer, not an auto-responder.
- 2
One scoping call
We map how your business runs today and what needs to change.
- 3
A fixed scope, price, and date
You approve everything before a line of code is written.
Prefer email? hello@bocati.com.au