Decision framework for adding AI to AU trades job management software — when to pick AroFlo, Simpro, or ServiceM8, common architecture, AUD costs.
AroFlo AI Agent — fixed-price package - AroFlo PM-Email Agent — 10 hours of admin back per week, shipped in 4 weeks
A focused AI agent that reads your inbound property-manager emails, creates the AroFlo job, attaches the photos, sets the urgency, and drafts the acknowledgement reply. Fixed price, fixed scope, ships in 4 weeks. Read the full architecture in our AroFlo API integration guide.
- AUD fixed price
- $24,995
- From kickoff to live
- 4 wk
- Per week back
- 10+ hr
- Senior partner, no juniors
- 1
Where aroflo shops lose time today
- Twenty PM emails a morning — every one needs reading, classifying, and turning into an AroFlo job before the techs hit the road.
- Photos and addresses copy-pasted between Gmail and AroFlo, with the wrong job number written down at least once a week.
- Urgent jobs buried in long emails get treated as routine — and routine work flagged as urgent because the PM tagged it that way.
- After-hours emails wait until 6am the next morning, which costs you the first job slot of the day.
- Every quote follow-up gets forgotten because the office admin is heads-down on triage instead of revenue work.
- AroFlo data entry burns 8–12 hours a week of owner time at full owner cost — usually $1,500+ AUD a week of value.
AI workflows for aroflo shops - What we build for aroflo shops
Every engagement is fixed price and founder-led. We scope, ship, and support — typically 2–8 weeks from kickoff to production.
- Inbound PM email → AroFlo job. Reads the email, extracts the address, fault, urgency, tenant contact, and attaches the photos. Creates the AroFlo job with the right job type, priority, and assigned tech, before anyone in the office has read the email.
- PM acknowledgement reply. Drafts a reply to the PM with the AroFlo job number, the tech assigned, and the expected arrival window — in your house tone. You review on phone, tap send.
- Human review queue for week one. Every action lands in a review queue for the first 14 days while the agent learns your judgement. After two weeks, routine jobs from your top PMs auto-execute; exceptions still surface for review.
- Audit log + threshold rules. Every AI decision is reproducible — input email, model reasoning, AroFlo API call, response. Hard rules for jobs over your dollar threshold, new clients, and unusual phrasing keep the agent inside your guard rails.
Why Sandlabs - Built for AroFlo, not a Zapier wrapper
Most "AI for AroFlo" pitches in 2026 are still RPA scripts in fresh paint or generic Zapier flows that fall over the moment a PM phrases something the integration didn't see in testing. We build a real AI agent on the AroFlo REST API with HMAC auth, reasoning over the messy email content the way a competent admin would.
- Fixed price, no scope creep. $24,995 AUD covers scoping, build, training, and the first 30 days of supported live operation.
- AroFlo API native. Direct REST calls with HMAC-SHA256 auth, designed within the documented 2,000 calls/day rate limit. No screen scraping, no browser automation.
- Owner stays in control. Week-one human review on every action. You decide which workflows graduate to unattended.
- Audit log on every decision. Reproducible end-to-end. Defensible to a regulator, your insurer, or a tough PM if something ever goes sideways.
- Founder-led delivery. One senior partner from scope to ship. No account managers, no offshore handoffs.
- Melbourne-based. Sandlabs is in Ringwood-adjacent Melbourne. We work with AroFlo shops across AU and NZ.
- What does the $24,995 AUD AroFlo PM-Email Agent package include?
- Scoping and architecture, the brain layer (LLM with your business rules), the knowledge layer (your job templates, escalation rules, communication tone), AroFlo and Gmail API integration, governance dashboard with review queue and audit log, and the first 30 days of supported live operation. After that you can move to a maintenance retainer or self-serve.
- How long does the AroFlo AI agent take to ship?
- Four weeks from kickoff: week 1 is scoping and rule capture, weeks 2–3 are build and integration, week 4 is shadow-mode testing against your real inbox before go-live. Most shops see meaningful weekly time savings within the first 14 days of operation.
- Will this work if our PMs send wildly different email formats?
- Yes — that is the entire point of an LLM-driven agent versus an RPA script. The LLM reasons about the content the way a human admin would, so different phrasings and email structures from different PMs are handled by the same agent without per-PM configuration.
- What happens after the first 30 days?
- You move to a maintenance retainer ($1,000–3,000 AUD per month depending on volume) or take it self-serve with documented configuration. Most shops keep the retainer because the LLM API costs are bundled in and prompt updates are included.
- Can we add more workflows after the first one is live?
- Yes. Quote follow-ups, supplier invoice triage, and stale-quote nudges typically run $8,000–18,000 AUD each and ship in 4–6 weeks. The brain, knowledge, and governance layers are reused, which is why follow-on workflows are cheaper than the first.
- Do we need to be in Melbourne to work with Sandlabs?
- No. Sandlabs is Melbourne-based but works with AroFlo shops across Australia and New Zealand. Most engagements run remotely with on-site visits as needed during scoping and go-live.
Further reading - Before you scope your AI project
The cost, scoping, and architecture questions we get most often — answered.
How AI consulting engagements are scoped, priced, and delivered — and the questions to ask before signing.
When off-the-shelf AI stops working and custom development starts to pay for itself.
15 AI automation platforms stress-tested in production by an Australian team — AUD pricing, data residency, honest verdicts.
The architecture patterns behind production multi-agent systems — with real examples.
25 production-ready Model Context Protocol servers, ranked by what they actually let Claude do.
Let's build something great together.
Melbourne, Australia — serving founders worldwide. [email protected]