Everyone wants to build your AI.
I keep it earning.
When AI goes down, changes or quietly gets it wrong, your customers notice first and the money stops. I keep it working. It’s checked every day, every change is tested before it goes live, and problems are fixed before they spread.
One hour of downtime costs large organisations an average of $900,000, according to Splunk’s 2026 research. A one-hour outage also takes a month’s availability from 100% to 99.86%, breaching both a 99.95% and a 99.9% commitment. What’s an hour of your quoting, claims or customer service worth?
Google SRE, Site Reliability Engineering
3 September 2026
Monte Carlo, 2026
Splunk, The Hidden Costs of Downtime 2026
— SOUND FAMILIAR?
Three ways AI stops making you money
- It goes down. Your AI provider has an outage, and whatever runs on it stops: quoting, claims, customer service.
- It keeps running, but gets it wrong. No alarm goes off. You hear it from a customer, then pull it offline.
- A change breaks it. The supplier updates the model, or your team ships a patch, and the AI behaves differently the next morning.
This can be mitigated; your AI probably isn’t broken. It’s unmanaged.
— what I do
Most companies find out last.
We make sure you find out first.
It’s called SRE. Google built it. I spent eight years doing it. We don’t build your AI. We build what keeps it running.
AI FIRE DRILL
Half a day with your leadership team and whoever runs the technology. We simulate your AI going wrong: wrong answers, the provider going down, a change that breaks it. You leave with a short list of what broke, who didn’t know it was theirs, and what to fix first. Fixed scope and price, agreed before we start. No obligation after.
We also build the audit trail that answers the regulatory question before it’s asked.
AI RELIABILITY COVER
Someone whose job is to keep your AI working. We agree what “working” means in numbers your business already uses. It’s checked automatically every day against real examples, every change is tested before it goes live, and you hear from me as soon as it slips. When something goes wrong, we respond, find the cause and make sure it can’t happen the same way again. One plain report each month for the board.
Monthly. Priced by how many AI systems are covered. Works for AI you built, bought or run yourself.
AI RELIABILITY PROOF
For companies selling AI to banks, insurers and large enterprises. Reliability Cover run on your own product, with a monthly reliability report and incident updates you can hand straight to your customers’ risk teams.
Get through risk review with evidence, not promises.
“SRE was built for systems that can’t be allowed to fail quietly. AI fails quietly by default.”
— For leaders accountable for AI
Deployed vs. Operational
WITHOUT DATASTONE
WITH DATASTONE
This Isn’t Theory.
We’ve Lived This at Scale.
The SRE discipline behind our approach wasn’t learned in a classroom. It comes from eight years managing mission-critical infrastructure at Google — where reliability isn’t aspirational. It’s a contractual obligation measured in nines.
Multi-region operations across APAC. Incident response measured in minutes. That operational rigour is now available to APAC enterprises deploying AI who need more than a vendor promise and a good luck.
35k+
SYSTEMS AT GOOGLE SCALE
8 yrs
Enterprise ops experience
APAC
MULTI-REGION OPERATIONS
Minutes
Incident resposne time
Book a Confidential Review
Understand exactly what your systems are doing — and what they arent — before something forces the question.
Confidential · No obligation · Brisbane-based
