Ask questions about regulated data
without it ever leaving your database.
Regulated data, compliance requirements, high sensitivity around data leaving your environment. Your team can't run customer data through ChatGPT. Edilitics gives you governed AI analytics with an audit trail - not a promise, an architecture.
raw data rows ever sent to an LLM, in any mode
Regulated data. Compliance requirements. High sensitivity around data leaving your environment. One pasted screenshot or one careless prompt is what turns into a regulator's question, a client's lost trust, or a very uncomfortable audit finding with your name on it. You need the zero-raw-data architecture and an audit trail to go with it - not a promise, an architecture.
What Actually Happens
A regulated data question comes in.
Here's where the real data actually goes.
Same question. Two different ways it plays out.
Today
“Why did our default rate rise in this segment?”
- Someone needs a fast answer - deadline's today
- Fastest path: paste real account data into ChatGPT to draft it
- No log of what was pasted, or where it went
- Nobody finds out until an audit asks the question first
With Edilitics
Same question, asked in AskEdi instead
- No real row ever leaves the database, in any privacy mode
- Answer comes back in plain English, just as fast
- Every query logged - what ran, and what the AI generated
- Nothing to explain after the fact, because nothing left
One Platform, One Governance Boundary
Regulated data: connect, clean, report, ask -
it never leaves the platform to do it.
The same path every regulated question takes, end to end - each step shown below.
One audit trail, every hop
Connect
Profiled, not stored raw
Schema, DQ, and AI-readiness scored the moment your warehouse or database connects - raw rows are never stored.
Clean
No standing unmasked export
Zero-trust pipeline previews run AES-encrypted, purging in 30 minutes - no spreadsheet sitting around with unmasked rows.
Report
No re-export cycle
The dashboard stays current on its own - nobody re-exports regulated data into a deck every reporting cycle.
Ask
Governed by privacy mode
AskEdi reasons on the governed metadata layer only. The query that ran is always visible next to what the AI generated.
Connect your core banking, payments, or CRM warehouse, clean and join sensitive tables in Transform, keep the compliance dashboard current in Visualize, and take the live follow-up in AskEdi - under whichever privacy mode your compliance posture calls for.
Three Privacy Modes, Zero Raw Rows
You choose what the AI sees.
It never sees a raw row.
Every mode blocks raw data transmission - the difference is how much metadata context the AI gets to reason with.
Private Mode
Column names are replaced with anonymous identifiers before the AI ever sees them - it reasons on structure only, never real schema.
Balanced Mode
Real column names and DQ statistics are shared for context, but live row data is always blocked - the default for most regulated teams.
Full Context Mode
Adds aggregated top-frequency values and prior analysis context - still never a single raw row, even at maximum intelligence.
Not Just Confident-Sounding
An answer you can check,
not just trust.
In regulated data, a fast answer only matters if the number behind it actually holds up.
Analysis View on every answer
The exact query that ran against your database, one click away - not a black box you have to trust.
Methodology Notes, in plain language
Sample size, method, and test result stated for every forecast or root-cause read - generated by Edilitics, not the AI.
Zero raw rows sent to any LLM
Architecturally enforced, not prompt-engineered - the AI reasons on schema and stats, never your actual data.
No charge on a bad answer
Failed, empty, or malformed results are never billed - the system doesn't paper over its own failures.
Ask Directly
Questions regulated data teams actually ask AskEdi
Ask any of these directly, without a new tool or a compliance review for each one.
“Why did loan approval rate drop in the second half of the year?”
“What if we raise our minimum credit threshold by 5 points - impact on default rate?”
“Forecast deposit inflows for the next two quarters.”
“Which customer segment shows the highest concentration of late payments?”
“Where should we focus collections effort to reduce default risk next quarter?”
“Summarise this quarter's compliance dashboard the way I'd report it to the board.”
Not sure this is your situation? See all six solutions.
Everything you need to know before you decide.
No sales call needed. If you have a question we haven't answered here, reach out directly.