Every transaction
categorized and checked for patterns, with only the exceptions routed to an analyst.
An agent that categorizes transactions, analyses patterns across accounts and periods, and hands analysts a short list of exceptions instead of a full ledger.
- Industry
- Financial Services
- Segment
- Banking operations
- Stage
- Build Agents
- Status
- Delivered
Transaction Classification & Analysis
The findings in three sentences.
- 01
Confidence scores changed the analyst's job from checking everything to checking what matters.
- 02
Keeping data in place was the deciding factor for risk and compliance sign-off.
- 03
The categories the business actually uses differ from any standard taxonomy. The agent has to learn theirs.
Client problem
What wasn't working.
- Analysts were categorizing transactions by hand or correcting rules-based categories that no longer matched how customers spend.
- Pattern analysis happened in spreadsheets, after the fact, and only on samples.
- The data could not leave the bank's environment, which ruled out most off-the-shelf tools.
Dviz solution
What we built.
- Built a classification agent on Sorgi, deployed inside the institution's own cloud, that categorizes every transaction with a confidence score.
- Low-confidence items and unusual patterns are queued for an analyst rather than auto-filed.
- Guardrails block account numbers and personal data from ever reaching a model prompt.
- Analyst corrections feed back into the categories, so the agent improves on the bank's own definitions.
A working sketch of the system, with placeholder data.
Delivered on Sorgi
How the platform carried it.
- Bring-your-own-cloud deployment for data sovereignty.
- Hard guardrails and data leak prevention on PII and account data.
- Analyst review queue for low-confidence results.
Outcomes
100%
Of transactions categorized, not sampled
0
Records moved outside the bank's environment
Next use case
Trade Finance Documentation
Have a problem like this one?
A backlog nobody can clear, a pilot that never left the lab, a process that only three people understand. Tell us what it is, and we'll tell you honestly whether AI is the answer.