For Fintech & Financial Services

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.

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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.

Max Compliance

Private Mode

Column names are replaced with anonymous identifiers before the AI ever sees them - it reasons on structure only, never real schema.

Column names replaced with col_1, col_2
AI calculates metrics without seeing real schema
Built for the most sensitive regulated fields
Recommended

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.

Real column names, no active row data
Precise answers even on large datasets
Recommended baseline for most compliance postures
Max Intelligence

Full Context Mode

Adds aggregated top-frequency values and prior analysis context - still never a single raw row, even at maximum intelligence.

Remembers context across a session
Analyzes aggregated categorical structure only
For deep-dive analysis, still zero raw rows
DQ Advisory Before Every Session
Zero Raw Row Transmission, Any Mode
Integrate-Powered Semantic Context

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?

Root Cause Analysis

What if we raise our minimum credit threshold by 5 points - impact on default rate?

What-If

Forecast deposit inflows for the next two quarters.

Forecast

Which customer segment shows the highest concentration of late payments?

Chart

Where should we focus collections effort to reduce default risk next quarter?

Decision Intelligence

Summarise this quarter's compliance dashboard the way I'd report it to the board.

Narrative

Not sure this is your situation? See all six solutions.

COMMON QUESTIONS

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.

THE NEXT LEVEL

Verified answers. Zero raw data to any LLM.

Three privacy modes, a full audit trail, and every query shown side by side with what the AI generated - so the next audit finding isn't yours to explain.