An agent that does the work, not a chatbot that replies
We build AI agents that book, update, fetch and escalate inside the systems you already run — CRM, calendar, databases — and we'll tell you first whether an agent is the right tool at all.
Book a call with NathanA chatbot answers questions. An agent completes the task the question was about: it looks up the order, changes the booking, writes the record, and hands the conversation to a person the moment it should. That difference is the whole reason to build one — and the first thing we'll check is whether your workflow actually contains it.
What we build
Agent development
Claude-based agents with tool use over MCP: multi-step workflows, memory across sessions, guardrails on what the agent may and may not do.
System integration
CRM, booking systems, internal databases, third-party APIs. The agent acts inside your systems, not beside them.
Conversation design
Tone and escalation designed so a customer always knows they can reach a person, and the hand-off arrives with full context.
Measurement
Logs of what the agent did, resolution and drop-off tracking, and reporting on where it handed off — so the decision to expand it is made on numbers.
Chatbot or agent: what you're actually buying
Most of the products sold as "AI chatbots" are scripted flows with a language model bolted on the front. Here is the difference in what each one can do.
| Capability | AI agent (what we build) | Scripted chatbot |
|---|---|---|
| Understanding | Yes: Understands the request, not just the keyword. | Partly: Keyword and menu matching; anything unexpected dead-ends. |
| Actions | Yes: Books, updates, sends, fetches — completes the task. | No: Replies only; the customer still does the task. |
| Memory | Yes: Context persists across the conversation and across sessions. | No: Each session starts from zero. |
| Integrations | Yes: CRM, calendar, databases, APIs. | Partly: Usually one platform, one channel. |
| Escalation | Yes: Hands off to a human with the full conversation attached. | No: "Please call our office." |
● yes · ◐ partly · ○ no. "Partly" means the capability exists in a limited form on some platforms — ask any provider, including us, to show it working against your systems before you buy.
AI products we've already shipped
Agents are the newest thing we build, not the first. Two AI products that made it out of the lab and into people's hands:
Featured on The Block, Season 21Auric
AI-powered app controlling a smart diffuser to personalise mood and environment.
More on Auric →- iOS and Android app with hardware integration
- Personalised environment control — Calm, Energy, Focus, Sleep
- Real-time adjustments over IoT device integration
Product Hunt Makers Festival winner, 2021Green Habit
Chatbot that nags you into greener habits, and amplifies them by pulling other people in.
More on Green Habit →- AI-driven habit recommendations
- Progress tracking and feedback loops
- Behavioural nudges and reminders
In developmentIntransic
Trust infrastructure for AI-built software — every compliance and security claim traces to executable evidence before it ships.
- Claim → evidence → verify → publish, evidenced end to end
- Generates a public trust layer straight from internal test and audit results
- Built to sit before the first line of AI-generated code, not after
In developmentAppSycle
Founder intelligence agent that collects external signals, scores them, and routes the ones that matter into a daily brief with recommended actions.
- Pulls from RSS, Hacker News, Product Hunt and manual sources across multiple products
- Scores and dedupes hundreds of signals down to the handful worth a founder's time
- Human-in-the-loop at every step — nothing ships without review
Use cases
- Customer support: answers from your real product and account data, and hands off to a person with context when it should.
- Sales and lead qualification: captures, qualifies, and books directly into your calendar.
- Internal assistants: operations, HR and knowledge access over your own documents.
- Workflow automation: replaces the form → email → re-key loop by doing the entry itself.
How we deliver
- 01
Discovery
Map the workflow, find the highest-value hand-offs, agree what success is measured by.
- 02
Design
Agent architecture, conversation design, integration mapping.
- 03
Build & integrate
Model selection, tools and permissions, safety guardrails, staged rollout.
- 04
Launch & learn
Deploy, monitor, and improve on real usage — or switch it off if the numbers say to.
Built your own agent or app with an AI tool already, and now need it production-ready? Different problem — start with the audit.
LET'S TALK
Ready to build an AI agent?
Book a 30-minute call with Nathan. No obligation — we’ll tell you honestly whether an AI agent is the right solution for your business.
- Whether an agent solves this, or a simpler tool does
- Which systems it would need to reach — CRM, booking, databases
- Where a human should stay in the loop
- What it would cost to run, before you commit to building it
- Brisbane & Gold Coast · 25 years in market