Precision AI Labs is an applied AI engineering company. We design, build and run AI agents, automations and apps for Australian businesses, to the standards used to protect enterprise data: tested, logged, least-access, and always with a person approving what matters.
4 reminders ready to send · 11 returns ready to prepare
Every build is written up like a spec sheet before we start: what goes in, what the AI does, what a person approves, and where your data lives.
Client documents, invoices, quotes and forms read, sorted and chased for you, so your team checks the work instead of retyping it.
The accounting, CRM and spreadsheet tools you already pay for, connected so information moves once and gets checked on the way.
Mobile and web apps with AI inside, taken from an idea to the App Store and Google Play. Our own app launches on both stores in November 2026.
Social posts drafted in your brand's voice, checked against your own rules and fixed before you see them. Nothing posts without your tap.
Grounded in enterprise data protection and cyber recovery practice.
Our own products run on the same architecture, standards and release process we use for clients.
An AI training and nutrition app that adjusts each workout from what you log, with Australian food data and kilojoule tracking.
Flutter · Supabase · Claude
precisionphysique.aiLocal search software for fitness businesses: helping gyms and trainers get found by the people near them.
Web · Supabase · Claude
A social media agent with a rules engine: it drafts, checks and fixes posts against each brand's rules, then waits for approval.
Supabase · Claude · Meta APIs
Website for an Australian tax, accounting and SMSF practice: service pages for tax, SMSF and corporate compliance, a key lodgement-deadlines calendar, FAQs and compliance pages.
Astro · Static site
A 30-minute call about where your team's hours go and what a good week would look like.
A short written scope: what gets built, what it needs from you, and the price, before any work starts.
You see it working early and steer it every week, on your real examples.
Training for your team, monitoring, and a clear way to pause it if you ever need to.
The disciplines of enterprise infrastructure, applied to AI.
Payments, messages and anything public wait for a person. Agents propose; people approve.
Each agent and integration gets only the access its job needs, enforced in the database, not the prompt.
Every agent step, tool call and decision is logged, so any outcome can be traced and explained.
Fixed test sets run on every change to prompts or models, so quality is measured, not assumed.
Automated tests and schema checks must pass before anything reaches production.
Backups, cost limits, monitoring and a kill switch, with a tested way back.
Tell us what slows your team down. A few lines is plenty. You'll hear back from an engineer, not a sales team.