Ask It Anything
Customer: Which of my sites used more this quarter than last, and by how much?
Answer: Three sites are up. Site B leads at 18%, followed by Site A at 7% and Site D at 3%.
The answer comes back in seconds, from live data, showing only what that customer is entitled to see. No report to find, no filter to set, no export to wait for.
Why Most AI Ideas Stall
Most organisations are being asked to put AI on their data. The hard part isn’t the AI. It’s letting a model near production data without copying it somewhere, widening access, or trusting it blindly. So the idea stalls at the security review, and the data stays as hard to reach as ever.
If staff are already pasting company data into public AI tools, a vendor is quoting per-seat AI add-ons, or the board is asking for an AI plan, that’s the moment to look at this.
What’s Changed
Oracle’s database and APEX now have AI built in. That changes where the AI goes – to the data, inside the controls you already run.
The AI Comes to the Data
Your data isn’t copied into a separate AI platform. The model is sent the question and only the data needed to answer it, and you choose where it runs – in OCI, on your own infrastructure, or through a provider you already use.
Answers You Can Trust
The data is described before AI touches it, so answers are right, not just plausible. They come from live data, not a copy that’s drifted, and every question is logged against the person who asked it.
No New Platform
It uses the AI already built into Oracle’s database and APEX, so there’s no separate AI platform to buy or run. It starts with a fixed-price discovery, and a first use case can go live in weeks with a small senior team.
What People Ask
Finance
- “Which suppliers are we paying late, and why?”
- “What’s driving the variance in this month’s costs?”
Operations & Logistics
- “What’s due out this week that we’re short on?”
- “Which jobs are running behind, and where?”
Sales & Customer Service
- Customers ask their portal: “What’s changed in my subscription since last month?”
- “Which customers’ contracts renew next quarter?”
IT & Data
- Staff query live Oracle data from the AI tools they already use, over read-only MCP connections.
- An agent sets up a new customer on the standard plan, pausing for approval where judgement is needed.
How It Stays Safe
- You choose where the model runs – in OCI, on your own infrastructure, or through a provider you already use.
- Access runs through your existing identity controls. AI assistants are read-only, and development and production are kept separate.
- Agents act through PL/SQL procedures, with no direct access to the data or tables. Where judgement is needed, a person approves before anything changes.
- Every query is logged against the person who asked it.
- The data is described before AI touches it, so answers are right, not just plausible.
Access is controlled at a fine-grained level, so users only reach the data they’re entitled to, and each agent only reaches the data it’s been granted.
Where to Start
It starts small. After an initial conversation and a brief, we run a fixed-price discovery of one to two weeks. You get a solution design and a plan, with a firm price and a delivery date for the build. Once it’s live, we can run the platform for you.
Who We Are
Burgess Systems Consulting has spent more than two decades helping organisations modernise their business systems. We’re an Oracle Partner based in Sydney, Australia, serving customers globally.
Building the application around it? See Oracle APEX and Autonomous Database
Ready to get started?
We’re on your side, doing what it takes to get the job done right – from the first consultation to your daily operations.