Structure the evidence
Import KYC and due-diligence documents, extract their answers, and associate the review with the correct institution.
Structure KYC and due-diligence documents, validate answers, surface exceptions, and preserve every human decision in one controlled workflow.
How does the institution assess third-party compliance controls?
Third parties are reviewed against documented risk and compliance requirements before approval.
“The institution completes a risk-based review of third-party controls prior to engagement…”
Illustrative workflow · Example data
Deployment evidence
One global banking group reduced due-diligence review time from 2–3 hours to approximately six minutes while preserving source-linked evidence and human approval.
Read the banking case studyResults from one anonymized banking deployment
~95%
Shorter review time
99%+
Accuracy with linked evidence
~20×
Capacity with the same team
A controlled workflow for institutional due diligence, with evidence and human review at every critical step.
Import KYC and due-diligence documents, extract their answers, and associate the review with the correct institution.
Compare candidate answers with linked excerpts and original document pages before accepting or correcting them.
Surface contradictions and missing information, prepare follow-ups, and route material issues for approval.
Retain reviewer actions, rationale, timestamps, and finalized evidence in a durable case record.
Built for the people responsible for the review
MultiplAI gives each participant the context and controls needed for their part of institutional due diligence.
Standardize how reviews move from documents and evidence through exceptions, follow-ups, and completion.
Validate candidate answers against their sources, correct them when needed, and focus attention on unresolved issues.
Review material exceptions with the evidence, ownership, history, and rationale required to make an informed decision.
Examine how AI outputs are controlled, how people remain accountable, and how activity is retained for later review.
Introduce AI into a defined operating process with clearer oversight, handoffs, and evidence continuity.
MultiplAI keeps the answer, its supporting source, and the reviewer’s decision connected throughout the due-diligence process. Analysts can verify suggested answers, resolve exceptions, and record the rationale behind their actions without losing the original evidence.
The result is a review record that another analyst, manager, or auditor can understand without reconstructing the process from spreadsheets and email.
Answer linked to the original document and page.
A reviewer resolved the flagged inconsistency.
Decision, rationale, reviewer, and timestamp retained.
The finalized record is available for downstream review.
Teams can see what needs attention, who owns the next action, and what is blocking completion. This turns fragmented due-diligence work into a structured process with clear accountability.
Monitor institutions, case status, outstanding exceptions, and required decisions in one place.
Keep client questions, analyst comments, escalations, and manager decisions connected to the same case.
Preserve source evidence, reviewer actions, rationale, and timestamps for downstream review.
Platform scope
MultiplAI connects evidence preparation, human review, issue resolution, and the final decision record in one controlled due-diligence process.
Explore the platformStructure questionnaire answers, connect them to source excerpts, and surface incomplete or contradictory information.
Keep follow-ups, exceptions, ownership, escalations, and approvals connected to the same case.
Retain documents, reviewer actions, rationale, timestamps, and finalized evidence for downstream review.
Research & perspectives
A PDF can store more text than it visibly displays. We examine what that means for source verification, traceability, and human review.
Read articleAgreement between AI results can help focus human review—but consensus alone cannot prove that an extraction is correct, complete, or properly grounded.
Read articleHow MultiplAI supports evidence-based review while keeping people accountable for every final decision.
MultiplAI uses AI to structure questionnaire responses, identify candidate answers, connect them to supporting evidence, and flag items that need attention. These outputs support the review; authorized users remain responsible for validating and approving the result.
Yes. Analysts can inspect source-linked excerpts and the original document, then accept, edit, or reject a candidate answer. The reviewer’s action is retained as part of the case record.
MultiplAI surfaces unresolved questions, conflicting evidence, and missing information for review. Teams can assign next actions, prepare follow-up questions, and escalate material issues to the appropriate approver.
The case record can preserve source documents and excerpts, reviewer actions, decisions, rationale, timestamps, follow-ups, and approvals so that the path from evidence to final decision remains traceable.
Customer data is encrypted in transit and at rest. MultiplAI supports role-based access, audit logs, environment separation, and retention policies configured for institutional requirements. Customer data is not used to train shared AI models.
No. MultiplAI assists with evidence retrieval, answer preparation, validation, and issue identification. Final compliance decisions remain with the institution’s authorized analysts and approvers.
Defined analyst and approver roles keep decision authority explicit. Reviews capture who accepted, edited, rejected, escalated, or approved an item, together with the supporting evidence, rationale, and timestamp.
No. Customer data is not used to train shared AI models.
Founding team
Henry Chen and Pablo Hernandez-Leal bring experience across financial operations, private equity, machine-learning research, and production AI systems, including work at RBC Capital Markets and RBC Borealis.
Meet the foundersDiscuss how MultiplAI could support your due-diligence process. We can begin with where documents, evidence, review, and approvals create friction today.