Solution
For EDD analysts, financial-crime compliance teams, and heads of KYC operations: subject research compiled into structured evidence reports, so analysts spend their hours on judgment instead of searching.
The problem
Analysts run search after search and collect data source by source. The work is slow and error-prone in exactly the places where errors cost the most.
Subject data sits across multiple systems. An analyst picking up a case cannot see its history or track what is still open.
Turning collected findings into a defensible conclusion is meticulous, repetitive assembly — and every analyst does it slightly differently.
The product, not a promise
How it works
Automated web search and data collection build a comprehensive profile of the subject.
Findings from every source come together in one case file, with history preserved.
A structured evidence report is generated automatically — no copy-paste assembly.
The EDD analyst reviews the summarized investigation and approves the conclusion.
Who it's for
EDD analyst
Head of KYC / financial-crime operations
Compliance / audit
A globally recognized banking institution, operating across multiple continents, ran enhanced due diligence the way most banks still do: analysts performing extensive web searches, collecting data from source after source, and assembling it by hand. The work was slow and error-prone in exactly the places where errors cost the most. Because case data sat fragmented across multiple systems, consistency suffered — an analyst picking up a case could not see its history or track what was still open.
Botminds automated the research layer. Advanced web search and automated data collection build a comprehensive profile of each subject, replacing hours of manual searching with a process that skips no sources and does not tire at the end of a shift. The collected findings assemble automatically into a structured evidence report — the same shape every time, each finding traceable to where it came from.
Instead of starting from a blank document, the EDD analyst starts from a summarized investigation: what was found, where, and what it suggests. Anything the platform is uncertain about — an ownership detail that disagrees across sources, a marginal adverse-media match — is flagged for the analyst rather than smoothed over. The analyst’s job becomes validation and judgment, which is the part that actually requires an analyst.
An EDD conclusion is a regulated decision, and a regulator will eventually ask how it was reached. Structured evidence reports answer that by construction: every data point carries its source, every case carries its history, and every conclusion carries the name of the analyst who approved it. Automation that removed the audit trail would be a step backward. This one strengthens it — faster research, consistent reports, and a human decision on record for every case.
Objections, answered
Every finding in the evidence report is traceable to the source it came from, and items the platform is uncertain about — a conflicting ownership record, a weak media match — are flagged and routed to the analyst instead of buried in the report. The conclusion itself is always a named analyst's approval.
Yes. The report structure, the sources in scope, and the escalation rules are configured to your procedure, so the output is your report — the same shape your QA and your regulator already know — produced consistently on every case.
The complete case file: every source consulted, every finding with its origin, the full case history, and the approving analyst on record. Reconstructing how a conclusion was reached is a lookup, and the trail exists by construction rather than by analyst discipline.
The platform starts from your existing report template and source list, so the first cases run through analyst review during the pilot. The team validates output on real subjects before anything is relied on in production.
Watch the research compile into a structured evidence report — sources cited, gaps flagged, ready for your analyst's judgment.
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