From request to report. Then remembered.
Diligence Gateway unifies ClientView for client-facing intake and delivery with Dragonfly for investigator-facing research and report development. Built for defensible conclusions that compound over time.
See Diligence Gateway in action
See how ClientView and Dragonfly connect requests, prior intelligence, investigation, findings, governed reporting and client delivery in one institutional diligence workflow.
Product demonstrations shown in this section use synthetic data.
Two Operating Platforms. One Investigative Foundation.
Diligence Gateway is the unified master architecture. Serving specialized diligence practices and enterprise compliance programs from a single shared intelligence core.
Controls how requests enter and how finished intelligence returns to clients. Provides a dedicated workspace for structured intake, document exchange, and client-safe deliverables.
- Structured request intake & subject submission
- Secure document and clarification exchange
- Controlled client-safe report deliverables
The investigator operating environment for complex investigations, source-linked findings, confidence assessment, and governed report development.
- Case Workbench with multi-source evidence linking
- Subject resolution and relationship mapping
- Controlled report lifecycle with review workflows
The Four Stages of Defensible Diligence
How investigations move through Diligence Gateway — from initial request intake to durable institutional memory.
Structured Client Intake
ClientView captures the review type, business rationale, subjects, and supporting materials in a structured request before work enters the investigation environment.
Source-Linked Investigation
Dragonfly organizes each engagement around subjects and investigation sections, connecting review outcomes, findings, and supporting material in one governed workbench.
Controlled Client Delivery
Approved reports return to ClientView as controlled client deliverables, with version, risk, subject, finding, and delivery context preserved.
Durable Subject Memory
Canonical subject records preserve identity, roles, linked cases, and prior review history so future engagements can begin with established institutional context.
Product demonstrations shown in this section use synthetic data.
Investigative Knowledge Shouldn't Disappear
Whether running client diligence engagements or managing enterprise risk and compliance programs, organizations face the same breakdown—and can achieve the same compounding advantage.
Operating a Client Practice
Intake fragmentation: Client requests and supporting materials arrive through disconnected email threads, risking lost context and attachments.
Structured intake: ClientView captures requests, subjects, and supporting materials in a governed workspace, ready for investigation.
Disconnected evidence: Report conclusions detach from underlying source material, making quality review laborious.
Source-linked findings: Every finding stays connected to its supporting evidence with calibrated confidence.
Lost investigative context: Relevant intelligence from prior work disappears into archives, forcing teams to reconstruct what was already known.
Durable investigative memory: Prior findings, relationships, context, and documented outcomes remain available for governed reuse in later work.
Managing In-House Programs
Isolated program teams: KYC, AML, sanctions, fraud, and vendor-risk teams often investigate overlapping subjects, relationships, issues, and evidence in isolation.
Shared intelligence core: Programs can build on a shared intelligence foundation while preserving distinct workflows and governance.
Repeated investigation: Relevant source collection, background reconstruction, and baseline analysis may be repeated independently by separate teams.
Prior intelligence reuse: Relevant prior findings, relationships, source context, and documented outcomes can be surfaced for investigator review.
Diverging conclusions: Without shared institutional memory, teams can reach inconsistent determinations because prior evidence, reasoning, and outcomes are not carried forward.
Defensible consistency: Shared intelligence improves consistency while preserving program-specific risk methods, review requirements, and judgment.
The Three Pillars of Diligence Gateway
Three foundational architectural differentiators that separate Diligence Gateway from fragmented tools and generic case management.
1. A Controlled Client Front Door
Clients receive a dedicated, secure portal for submitting structured requests and reviewing finalized deliverables without ever entering the internal investigator environment.
- Explicit requesting organization: Every request clearly ties to the commissioning client.
- Structured subject intake: Receive entities, individuals, and seed documents cleanly.
- Controlled deliverables: Final reports and risk assessments are published deliberately.
2. Findings Connected to Evidence
The investigator Case Workbench connects source material directly to findings, preserving evidence, context, confidence, and review history throughout the investigative lifecycle.
- Finding-level evidence links: Attach supporting sources directly to investigative statements and findings.
- Confidence calibration: Record explicit confidence levels, dispositions, and unresolved questions across each issue.
- Controlled report development: Carry reviewed findings and supporting context into governed report development with full provenance.
3. Knowledge That Survives the Case
Dragonfly's global subject registry preserves canonical identities and case involvement across engagements, giving investigators a durable view of who has been reviewed and where that history exists.
- Durable subject registry: Canonical companies and individuals persist across cases.
- Cross-case visibility: Linked-case counts and roles show where each subject has appeared before.
- Controlled identity resolution: Potential duplicates are reviewed explicitly before records are merged or linked.
Product demonstrations shown in this section use synthetic data.
What Makes the System Work
A cohesive architectural stack designed specifically for investigative rigor, client collaboration, and durable intelligence.
ClientView
Structured client intake, request submission, document exchange, status visibility, and final report delivery.
Case Workbench
Investigator workspace for subject review, finding development, source evidence attachment, and report assembly.
Domains
Program-specific workflows and risk methods operating on a shared canonical intelligence foundation across compliance and investigative units.
Global Intelligence
Durable investigative history and governed cross-engagement reuse of prior findings, context, relationships, and documented outcomes.
Governance & Admin
Role-based access controls, comprehensive auditability, and deliberate separation between internal and client workspaces.
Built with Structural Boundaries
Investigative confidentiality and client segregation are architectural fundamentals, not settings toggles.
- Deliberate platform separation: Client and investigator environments are completely segregated.
- Role-based access governance: Strict permission boundaries protect authorized engagements.
- Comprehensive auditability: Finding creation, evidence links, and report changes are tracked.
- Controlled deliverable release: Reports require structured review prior to client delivery.
Designed by Investigative Practitioners
Diligence Gateway was created from real-world corporate intelligence and investigative advisory practice. We built the platform we needed to run complex cross-border diligence, manage client relationships, and retain organizational knowledge.
“We designed Diligence Gateway because complex diligence requires both defensible evidence linkage and institutional memory that compounds over time.”
See Diligence Gateway in Action.
Schedule a platform walkthrough to evaluate Dragonfly and ClientView for your diligence practice or enterprise compliance program.
No self-service setup. Direct engagement tailored to your investigative workflow.
