AI-assisted due diligence for financial institutions

Review institutional due diligence with evidence attached

Structure KYC and due-diligence documents, validate answers, surface exceptions, and preserve every human decision in one controlled workflow.

Evidence review
Question 42 · Anti-bribery controls
Pending review
Question

How does the institution assess third-party compliance controls?

Candidate answer Source linked

Third parties are reviewed against documented risk and compliance requirements before approval.

Linked evidence · Page 18

“The institution completes a risk-based review of third-party controls prior to engagement…”

Original source Page 18 of 32
Evidence highlighted in context
Analyst decision required
Reject Edit Accept

Illustrative workflow · Example data

Deployment evidence

Proven in a complex banking workflow

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 study

Results from one anonymized banking deployment

~95%

Shorter review time

99%+

Accuracy with linked evidence

~20×

Capacity with the same team

Controlled workflow

From questionnaire to defensible decision

A controlled workflow for institutional due diligence, with evidence and human review at every critical step.

01 Ingest

Structure the evidence

Import KYC and due-diligence documents, extract their answers, and associate the review with the correct institution.

02 Validate

Review against source

Compare candidate answers with linked excerpts and original document pages before accepting or correcting them.

03 Resolve

Act on exceptions

Surface contradictions and missing information, prepare follow-ups, and route material issues for approval.

04 Preserve

Record the decision

Retain reviewer actions, rationale, timestamps, and finalized evidence in a durable case record.

Built for the people responsible for the review

One workflow, different responsibilities

MultiplAI gives each participant the context and controls needed for their part of institutional due diligence.

01

Compliance and KYC operations

Standardize how reviews move from documents and evidence through exceptions, follow-ups, and completion.

02

Analysts and reviewers

Validate candidate answers against their sources, correct them when needed, and focus attention on unresolved issues.

03

Managers and approvers

Review material exceptions with the evidence, ownership, history, and rationale required to make an informed decision.

04

AI governance and model risk

Examine how AI outputs are controlled, how people remain accountable, and how activity is retained for later review.

05

Transformation and technology leaders

Introduce AI into a defined operating process with clearer oversight, handoffs, and evidence continuity.

A clear record from evidence to approval

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.

Evidence in context Source-linked answers
Accept, edit, or reject Human review controls
Decisions retained Durable case history
Decision record
Example Institution · Review 2026
Review complete
Evidence captured

Answer linked to the original document and page.

Exception reviewed

A reviewer resolved the flagged inconsistency.

Human approval recorded

Decision, rationale, reviewer, and timestamp retained.

Evidence package ready

The finalized record is available for downstream review.

Control every review from one workspace

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.

  • Review Operations

    Monitor institutions, case status, outstanding exceptions, and required decisions in one place.

  • Follow-Ups and Approvals

    Keep client questions, analyst comments, escalations, and manager decisions connected to the same case.

  • Complete Case Record

    Preserve source evidence, reviewer actions, rationale, and timestamps for downstream review.

Review operations
Institution portfolio Updated now
18
In review
7
Need action
42
Completed
Example Institution A
3 validation exceptions
Review
Example Institution B
Approval decision required
Approve
Example Institution C
Awaiting follow-up response
Follow up
Illustrative operational view · Example data

Platform scope

What the workflow supports

MultiplAI connects evidence preparation, human review, issue resolution, and the final decision record in one controlled due-diligence process.

Explore the platform
Workflow outcome 01

Prepare and validate evidence

Structure questionnaire answers, connect them to source excerpts, and surface incomplete or contradictory information.

Workflow outcome 02

Resolve review work

Keep follow-ups, exceptions, ownership, escalations, and approvals connected to the same case.

Workflow outcome 03

Preserve the decision record

Retain documents, reviewer actions, rationale, timestamps, and finalized evidence for downstream review.

Questions compliance and risk teams ask

How MultiplAI supports evidence-based review while keeping people accountable for every final decision.

  • How does MultiplAI use AI in the review process?

    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.

  • Can analysts verify and override AI-generated answers?

    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.

  • How are exceptions, contradictions, and missing information handled?

    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.

  • What evidence is retained for audit and governance purposes?

    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.

  • How does MultiplAI protect customer data?

    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.

  • Does MultiplAI make compliance decisions automatically?

    No. MultiplAI assists with evidence retrieval, answer preparation, validation, and issue identification. Final compliance decisions remain with the institution’s authorized analysts and approvers.

  • How is human accountability maintained?

    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.

  • Is customer data used to train shared AI models?

    No. Customer data is not used to train shared AI models.

Founding team

Built across finance and applied AI

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 founders

Start with the workflow you run today

Discuss how MultiplAI could support your due-diligence process. We can begin with where documents, evidence, review, and approvals create friction today.