"DLI was designed from the perspective of finance leadership — with the realities of audit, governance, and operational accountability in mind"

Click here to view the DLI v.4 discovery video 

DLI™ v.4 combines core, AR, and AP cash forecasts in one view, serving as the intelligent core that transforms raw financial data into actionable liquidity insight. Built on advanced machine learning and grounded in financial best practices, it continuously learns from actual cash movements to improve forecast accuracy over time.

Designed for finance leaders who demand clarity and control, the DLI Forecaster unifies cash position visibility, predictive modeling, and working-capital analytics within one adaptable environment. It integrates seamlessly with Excel and Power BI, providing decision-ready dashboards that help CFOs and finance teams anticipate shortfalls, optimize funding, and make proactive, data-driven liquidity decisions.

“Our DLI tools run entirely inside your existing IT environment — no new infrastructure, no cloud exposure, and uses your already-approved internal Python runtime.”

Book a 30-minute DLI v.4 discovery call  

Finance teams are operating in an environment where liquidity visibility has never been more critical. Yet most organizations still rely on manual spreadsheets that can’t keep up with today’s volatility.

• Fragmented AR, AP, and treasury data
• Complex payment patterns and unpredictable inflows
• Manual forecasting that doesn’t scale
• Limited visibility beyond 2–4 weeks
• Constant surprises in cash position

•AI-driven Core Cash, AR & AP timing based on real behavior

•Automated 13-week liquidity forecast updated weekly or daily

•Excel Bridge for analyst control, overrides, and scenarios

•Power BI dashboard for leadership visibility

•Variance & bridge analysis to explain changes

•Transparent, controllable assumptions (no black box)

DLI uses proven machine learning techniques to learn your organization’s historical payment behavior. It identifies hidden patterns in AR, AP, and operational cash flows — then automatically projects them forward to create a reliable 13-week forecast.

• Machine Learning (AI) Algorithms for core cash flow and AR AP cash timing models
• Unified liquidity modeling provides insight into each type of cash flow, combined into a unified view.
• Pattern identification for AR and AP cash timing analysis and gap identifications

Learn more by booking a quick discovery call today!

Organizations using DLI gain measurable improvements within weeks — not months.

Earlier visibility into liquidity risks

• Higher forecasting accuracy
• Better AR/AP planning and timing
• Reduced manual effort
• Improved CFO–Treasury alignment

Phase I — Business Understanding

Objective: Define your liquidity challenges, success criteria, KPIs, and scope.
What You Get:

• Clear business case for DLI
• Defined forecasting objectives
• Stakeholder alignment

Phase II — Data Understanding

Objective: Assess AR, AP, and cashflow data sources for quality, completeness, and suitability for modeling.
What You Get:

• Data profiling and quality checks
• Early visibility into modeling feasibility
• Data improvement recommendations

Phase III — Data Preparation

Objective: Build the clean, structured datasets required for AR, AP, and core cashflow modeling.
What You Get:

• Integrated AR/AP/Core tables
• Feature engineering aligned to DLI
• Standardized model-ready dataset

Phase IV — Model Development

Objective: Train, tune, and validate the AR, AP, and core cashflow models that power DLI v.4.
What You Get:

• Trained models for each forecasting component
• AR/AP probability timing model
• Unified liquidity forecast engine

Phase V — Evaluation

Objective: Evaluate model accuracy, confidence, and business alignment before deployment.
What You Get:

• Accuracy metrics
• Explainability + validation summary
• CFO/treasury signoff

Phase VI — Operational Deployment

Objective: Deploy the DLI engine into your weekly forecasting workflow.
What You Get:

• Excel Bridge and Power BI dashboard
• Automated model pipeline
• Monitoring & support plan

1. How is DLI different from the cash flow forecasting we already do in Excel?

DLI automates the most difficult part of forecasting: identifying timing patterns in AR, AP, and operational cash flows. Instead of manually guessing future inflows/ouflows, DLI learns your historical payment behavior and produces a unified 13-week forecast automatically.
Your existing spreadsheets remain part of the workflow — but the forecasting engine becomes data-driven, accurate, and repeatable.

2. Does DLI replace our existing finance systems or ERP?

No. DLI is system-agnostic and does not replace anything.
It complements your current processes by generating more accurate forecasts and making weekly cash reporting faster and more reliable.

3. Is DLI a generative AI system or does it use large language models (LLMs)?

No. DLI v.4 does not use generative AI or LLMs.
It is a closed, deterministic forecasting engine built on classical machine learning models.
No client data is ever transmitted outside your environment.

4. What data does DLI need?

Primarily:

• AR transaction/payment history
• AP transaction/payment history
• Operational cash inflows & outflows
• General ledger cash activity (for core cash modeling)

Most organizations already have this data available from their ERP or finance system.

5. How long does a typical DLI implementation take?

Most organizations complete the implementation in 90 days using Remarc’s CPMAI-aligned delivery framework.
Larger or more complex data environments may extend into 120 days, but 90 is typical.

6. How accurate is the forecast?

DLI typically achieves accuracy in the 85–95% range once the model stabilizes.
During implementation, we target at least 90% accuracy when data quality and history depth support it.
DLI consistently outperforms manual Excel-based methods because it learns your organization’s true AR, AP, and operational cashflow timing patterns.

7. How often is the forecast updated?

You can refresh the forecast weekly or daily, depending on your workflow.
Most treasury and finance teams choose a weekly cadence aligned with AR/AP posting cycles.

8. Will our team need special technical skills to use it?

No.
Your team interacts with DLI through Excel and Power BI, the tools they already know.
The model runs behind the scenes, and your analysts receive clean updated forecasts each cycle.

9. How does DLI connect to our data?

There are two standard paths:

1. File-based pipeline: Simple secure export/import of required datasets.

2. Direct ERP integration via API (optional) .

The simplest file-based method typically works for all clients and keeps IT involvement minimal.

10. How is our data secured?

DLI is designed as a closed, non-cloud, non-LLM, non-external AI system.
All processing happens inside your secure environment, and no data leaves your firewall.
Remarc uses industry-standard controls for encryption, credential management, and auditing.

11. We already purchased a working capital forecasting solution from another vendor. Why consider DLI?

DLI is a lightweight, AI-powered alternative that:

• Works directly with your existing Excel/Power BI workflows
• Requires no new platform
• Models AR/AP behavior more precisely
• Produces transparent, auditable forecasts
• Uses CPMAI governance instead of proprietary black boxes

Many organizations use DLI to augment or validate their current tools rather than replace them.

12. What does a demo include?

In 20 minutes, you will see:

• How DLI builds a 13-week cash forecast
• The Excel Bridge for analysts
• The CFO Power BI dashboard
• The weekly forecasting workflow
• How quickly DLI can be deployed in your environment

No preparation is required from your team.

13. What happens after I book a consultation or demo?

You’ll meet directly with Michael Krahn, who will:

• Ask a few questions about your current forecasting process
• Share examples of DLI results and dashboards
• Discuss fit for your organization
• Outline the 90-day CPMAI implementation approach

If there’s mutual interest, we schedule a deeper technical discussion.

14. Is DLI appropriate for healthcare organizations?

Yes — DLI was designed by a healthcare finance and ERP expert with 35+ years of hospital and health system experience.
It works equally well for healthcare, higher ed, nonprofits, manufacturing, and any organization with recurring AR/AP activity.

15. How do we know if DLI is the right fit for us?

If your organization:

• Relies on manual cash forecasting
• Has uncertainty week-to-week on liquidity
• Wants better AR/AP timing visibility
• Wants a fast, low-risk AI implementation
• Wants to avoid generative AI/LLM exposure

…then DLI v.4 is likely an excellent fit.

Click here to book a DLI v.4 discovery call or product demo today!