Enterprise Platform
DGN Layer
A white-label decision-support layer for forward-looking cash-flow risk detection.
DGN Layer helps institutions, CUSOs, fintech platforms, and enterprise partners identify future timing pressure, projected obligation risk, and liquidity gaps before they become account failures.
Connect
Designed to integrate with institutional data flows, digital banking environments, and partner systems.
Forecast
Uses the DRAGON Engine to evaluate forward-looking cash-flow and obligation pressure.
Signal
Produces structured risk, shortfall, and liquidity-pressure signals for controlled workflows.
Support
Provides decision support while final actions remain under partner or institutional control.
Platform Type
White-Label Layer
Core Engine
DRAGON Engine
Control Model
Partner-Led
What It Is
An intelligence layer above existing financial systems.
DGN Layer is not a core replacement, consumer bank account, lending platform, or money-movement system. It is a forecasting and decision-support layer designed to help existing platforms see risk earlier.
Forward-Looking Forecasting
Evaluates future financial pressure instead of only analyzing past transaction history.
Obligation-Risk Detection
Identifies where upcoming commitments may create pressure against expected liquidity.
White-Label Deployment
Designed to support partner-controlled experiences, branding, workflows, and thresholds.
Decision-Support Signals
Provides structured outputs that can support review, intervention, education, or controlled product workflows.
Built On The DRAGON Engine
Deterministic forecasting under the platform layer.
DGN Layer is powered by the DRAGON Engine — DGN Software's deterministic financial intelligence system for evaluating timing pressure, obligation risk, available liquidity, and projected shortfall exposure.
1
Normalize
Receives structured financial inputs from approved partner or institutional sources.
2
Evaluate
Applies deterministic forecasting logic to future timing and obligation pressure.
3
Surface
Returns risk signals, projected pressure, and decision-support context.
4
Control
Keeps actions, approvals, disclosures, and member outcomes with the institution or partner.
Enterprise Fit
Designed to complement existing analytics stacks.
DGN Layer is built to support institutions and partners that already have digital banking systems, analytics platforms, AI tools, member engagement systems, or lending workflows.
Complement, Not Replace
Can provide forward-looking cash-flow intelligence to existing digital banking experiences.
Can support existing analytics and AI programs with deterministic risk signals.
Can power white-label member-facing or staff-facing workflows.
Can operate as decision-support infrastructure without controlling the ledger.
Use Cases
Built for partners that need earlier risk visibility.
DGN Layer can support multiple enterprise workflows without changing the institution's final decision authority.
Member Risk Detection
Identify projected shortfalls and future timing pressure before overdraft events or missed obligations occur.
Bridge Evaluation Support
Provide structured cash-flow context for controlled short-term liquidity-support review.
White-Label Forecasting
Embed forward-looking financial intelligence inside existing partner experiences.
Staff-Facing Review
Give service teams clearer context when helping members navigate temporary liquidity pressure.
AI Enhancement
Supply deterministic signals that AI tools can summarize, explain, or route without controlling the calculation.
Retention Intelligence
Help institutions identify avoidable financial friction that may damage member trust.
Compliance-Aware Positioning
DGN Layer supports decisions. It does not make them.
DGN Layer does not approve applications, extend credit, set pricing, or underwrite loans.
DGN Layer does not move money, control ledger activity, or replace core banking systems.
DGN Layer does not own member disclosures, regulatory obligations, or final member outcomes.
Institutions and partners retain control over policies, thresholds, workflows, approvals, and compliance requirements.
Sandbox Access
Explore the enterprise layer before connecting live data.
Qualified partners and institutional prospects can request access to a locked sandbox environment to explore projected shortfall detection, risk timelines, and decision-support workflows.