Hidden Outages Cost Your Business Millions.
Your AI Deployment Is Making It Worse.
Most businesses find out something is wrong through a client complaint. By then, the damage is already done. That gap has a name, and a price tag.
$400B
Lost Annually
to enterprise system failures globally
9%
Profit Lost
to downtime by the average Global 2000 company
$14k/min
Average Downtime Cost
rising 60% faster for mid-market companies
16x
Higher Costs
without proactive monitoring
— SOUND FAMILIAR?
You’re Running Technology You Can’t See Inside.
- Your AI is live. Nobody owns what happens next.
- Incidents surface through client complaints — not your monitoring.
- Leadership asks if it’s performing. Nobody can answer.
By the time you find out, the exposure is already behind you.
— what we do
Most companies find out last.
We make sure you find out first.
It’s called SRE. Google built it. We spent 8 years doing it. Most IT companies have never heard of it.
AI OPERATIONS & RISK
Your AI deployment needs more than a vendor dashboard. We monitor output quality, detect behavioural drift, and build the response playbooks your team needs when something goes wrong at machine speed.
We also build the audit trail that answers the regulatory question before it’s asked.
APRA IS WATCHING YOUR AI
In 2026, APRA told boards directly: the gap between AI capability and AI oversight is a governance risk they’re accountable for.
Most firms can’t yet answer the question “how do you know your AI is behaving?”
We build the assurance layer — and the evidence — before the regulator asks
OPERATIONAL RELIABILITY
Beyond AI, most businesses have systems generating revenue with no operational framework behind them. No failure thresholds. No incident ownership. No baseline to measure against.
We build the layer that catches degradation before it becomes financial loss.
“Can your local mechanic fix an F1 car mid-race? No.
AI at scale fails silently — $14k a minute while your dashboard stays green.
We ran 35,000 systems at Google. We find it in minutes, not the fourteen days most teams take.
— 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
