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ADEL: Real-Time Visibility into Software Project Health

Anton Maidan

Anton Maidan

Delivery Director

Feb 9, 2026
Reading time: 5 mins
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  1. Andersen’s Unified PDS Framework: standardizing the delivery process
  2. The functional architecture of ADEL
  3. Metrics dashboard
  4. Health-check module
  5. Audit module
  6. Advanced performance analytics
  7. Predictive financials and scheduling
  8. Process and scope analytics
  9. ADEL’s key advantages
  10. Continuous model recalibration
  11. Activating the ecosystem: implementation methodology
  12. Step 1. Process assessment
  13. Step 2. Process systematization & design
  14. Step 3. ADEL deployment
  15. Step 4. Refinement & optimization
  16. Flexible engagement
  17. Unified delivery intelligence

High-quality software delivery requires total transparency. But many organizations still rely on subjective status updates. As IT initiatives grow in complexity, this lack of visibility makes it nearly impossible to monitor a project’s true health.

To address this, Andersen developed ADEL. This proprietary platform replaces manual reporting with a single, data-driven source of truth.

Andersen’s Unified PDS Framework: standardizing the delivery process

ADEL is the engine behind Andersen’s Unified PDS Framework, which merges IT project management services and engineering standards into one system. In this context, each software initiative follows the same protocols, which eliminates the inconsistencies that typically lead to project drift.

To ensure maximum data quality, the company’s Centers of Competence set the necessary technical benchmarks for Architecture, DevOps, and Quality Assurance.

The integrity of project data is maintained through four distinct layers of oversight:

  • Automated monitoring: ADEL pulls objective, real-time data directly from the engineering tools.

  • Delivery management: Senior managers oversee the strategy and resolve operational blockers.

  • Peer review: Independent Technical Leads regularly audit the code and architecture.

  • Independent audit: An autonomous PMO conducts "Health Gates" at every milestone to verify project status.

This structure ensures that the information shown in ADEL completely corresponds to project reality.

The functional architecture of ADEL

This governance tool is based on Andersen’s experience gained from delivering over 1,000 projects. The platform converts this extensive expertise into a systematic "Preventive Management" strategy. This approach enforces standardized protocols and proactive risk control across all delivery teams.

Thanks to a modular design, automated data capture is combined with human validation and independent oversight.

Metrics dashboard

This module is the core of the entire platform. Here, data is aggregated from the existing toolchain, including Jira, GitHub, SonarQube, and Tempo. The dashboard tracks over 60 parameters to provide an objective view of performance, for instance, CPI, SPI, Scope Creep, Bug Density, Bug Growth, Unit Test Coverage, and Maintainability Rating.

By centralizing this data, ADEL eliminates the need for manual data gathering and provides a real-time overview of technical and operational trends.

Health-check module

A health-check module complements automated data. This feature requires Project and Delivery Managers to conduct regular assessments across the five dimensions of health (Process, Team, Finance, Product, and Risk). Specialists complete a standardized 32-item questionnaire that combines numerical metrics with real-world context.

This process ensures that the "Red-Amber-Green" status of a project is based on a mix of hard data and professional judgment.

Audit module

To maintain the integrity of the reporting, this module facilitates independent project verifications. Conducted by the Project Management Office or external experts, these audits ensure that teams are adhering to PDS Framework standards.

The module tracks historical audit scores and monitors the implementation of corrective actions, ensuring that transparency is backed by accountability.

Advanced performance analytics

Beyond status tracking, ADEL utilizes mathematical models to forecast project outcomes and monitor technical health. These features allow stakeholders to move from reactive troubleshooting to proactive planning.

Predictive financials and scheduling

The platform uses Earned Value Management to provide a scientific view of the budget and timeline. By calculating the Cost Performance Index (CPI) and Schedule Performance Index (SPI), ADEL generates a forecast known as the Estimate at Completion (EAC). As a result, managers know the projected final cost and delivery date months in advance.

The system visualizes the gap between the original plan and reality. It compares Project Actuals from Tempo against the Baseline set by the Estimation Model to provide hard evidence of how a project is performing.

Since the data is centralized, there is no need for manual reporting. Stakeholders can instantly evaluate all the relevant financial data and risks. It is now perfectly clear whether a project is staying on budget and on schedule.

Process and scope analytics

The solution also highlights areas where management needs strengthening. Thanks to Scope Creep tracking, development stays aligned with the original requirements. By monitoring project health through these metrics and integrations, the platform ensures that transparency is always backed by accountability. This process provides a "Quality Stamp" to confirm that all project data is accurate and valid.

ADEL’s key advantages

When using the platform, IT experts see significant benefits:

  • Extensive metric tracking: Parameters are updated monthly to ensure they stay aligned with the latest tech and market trends.

  • Multi-dimensional visibility: Data is organized into logical categories, including Finance, Process, Quality, Team, and more. This gives stakeholders a 360-degree view of project health.

  • Workflow adaptability: While the system is standardized, it remains flexible. Organizations can adjust configurations to meet their specific governance needs.

  • Data-driven decision making: By converting raw technical signals into clear information, the platform allows managers to rely on objective facts rather than intuition.

Continuous model recalibration

This feature-rich software is getting smarter with every IT initiative. This is possible thanks to a continuous "Evolutionary Loop." Once a project reaches a milestone, the platform compares Project Actuals against the initial Estimation Model to see how they align.

If the team finds any discrepancies, they perform a Lessons Learned analysis to identify the root cause. This data is then used for Model Recalibration, which updates the estimation database and technical accelerators.

As an outcome of this, benchmarks for future projects are becoming increasingly accurate. This way the system learns from real-world performance.

Activating the ecosystem: implementation methodology

Rolling out ADEL succeeds through four steps. Andersen’s experts integrate the platform with the existing workflows of customers and ensure the data accurately reflects any project environment.

Step 1. Process assessment

First, we evaluate your current workflows in project management, business analysis, and QA to spot inefficiencies or bottlenecks. ADEL helps track these processes to generate a Process Audit Report, which lists gaps and sets a baseline for improvement.

Step 2. Process systematization & design

Next, we standardize workflows across departments to ensure consistency. ADEL is configured to track the metrics that matter most to your operations, for instance, Bug Density or Backlog Health. At this stage, we also set up integrations with your existing tools like Jira and GitHub.

Step 3. ADEL deployment

During this phase, ADEL is installed on your infrastructure or Andersen’s hosting environment. We validate the automated data flows and also provide training for your teams. As a result, your in-house specialists can use the platform’s real-time reporting to make informed decisions.

Step 4. Refinement & optimization

Once live, we use the system’s metrics to monitor performance and implement ongoing improvements. This ensures the platform evolves alongside your business needs and maintains transparent reporting for all stakeholders.

Flexible engagement

Andersen provides ADEL through several engagement formats:

  • Full PDS Delivery: In this end-to-end model, we take full accountability for your project. It includes strategic management, full ADEL reporting, and engineering teams governed by Centers of Competence.

  • Transparency & Governance as a Service: This model is designed for organizations that already have development teams but lack visibility. Andersen provides Project Management and the necessary infrastructure.

  • Engineering as a Service: Specialized technical expertise is integrated into a client’s current projects. We provide the necessary frameworks and standards, along with ADEL monitoring.

Unified delivery intelligence

ADEL replaces guesswork with evidence and solid data. By linking automated metrics with expert oversight, it provides the insights needed to catch risks before they affect the budget or timeline. This approach allows organizations to move past basic status tracking and focus on predictable, high-performance results.

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