---
title: "GenDiscover: AI-Powered Modernization Intelligence"
description: "Capgemini's GenDiscover is an AI-powered cockpit that turns raw portfolio data into actionable modernization intelligence for enterprise application landscapes."
scfAsset:
  maintainers:
    - user: "tobias.mueller"
  managed: true
  marketplaceUrl: "https://marketplace.stackit.cloud"
  category: "service"
  external: true
  tags: ["GenAI", "Modernization", "Discovery", "Roadmap"]
source_url: "https://framework.stackit.cloud/adoption/assetcontainer/capgemini/capgemini-gendiscover/"
source_file: "docs/adoption/assetcontainer/capgemini/capgemini-gendiscover.mdx"
---

<Aside type="note" title="Asset Profile">
  **Focus:** AI-Driven Portfolio Discovery & Modernization Planning **Model:** Managed Asset
  (Professional Service by Capgemini)
</Aside>

## Overview

**GenDiscover** — **An AI-powered cockpit turning raw portfolio data into actionable modernization intelligence**

Enterprises struggle to modernize application portfolios built over decades of technology and organizational change. Fragmented data, unclear transformation paths and **limited visibility** into business capabilities slow down this progress. Manual analysis is time-consuming and prone to errors — resulting in delaying decisions and increased transformation risks.

---

## Typical Capabilities

- **Automated Data Ingestion & Normalization:** Consolidates heterogeneous application portfolio data (applications, servers, databases, usage) into a unified and consistent schema for analysis.
- **Application Discovery & Portfolio Transparency:** Provides a comprehensive view of the application landscape, including technology distribution, business capabilities, and dependencies.
- **AI-Driven Dependency Mapping:** Identifies relationships between applications, infrastructure components, and business functions using rule-based and AI-driven analytics.
- **Scenario-Based Modernization Recommendations:** Maps each application to optimal transformation paths (e.g., Rehost, Refactor, Replatform, Retire) based on technical and business criteria.
- **Portfolio Assessment & Prioritization:** Generates prioritized insights and dashboards to identify high-value modernization candidates across the portfolio.
- **Interactive Dashboards & Reporting:** Delivers portfolio-level and application-level visualizations for decision-making and stakeholder alignment.
- **Business Case Generation (TCO/ROI):** Provides quantified cost, effort, and value estimates to support investment decisions and cloud business cases.
- **Strategic Roadmap & Migration Planning:** Translates insights into actionable transformation roadmaps and structured migration waves.

---

## Typical Fit Criteria

The asset is ideally suited and will deliver its greatest impact under the following conditions:

- **Data Landscape Complexity:** The customer operates a large and fragmented data ecosystem (e.g., multiple data sources, legacy systems, unstructured data) that requires structured discovery and harmonization.
- **Early-Stage GenAI Exploration:** The customer is in the ideation or exploration phase of Generative AI and needs support to identify, prioritize, and shape high-value use cases.
- **Lack of Use Case Transparency:** There is limited visibility into existing data assets, processes, and potential GenAI applications across business units.
- **Business Value Orientation:** The customer requires clear linkage between GenAI use cases and measurable business outcomes (e.g., efficiency gains, revenue uplift, cost reduction).
- **Structured Discovery Approach Needed:** A standardized, repeatable, and workshop-driven methodology is required to systematically identify and assess GenAI opportunities.
- **Cross-Functional Alignment Required:** Multiple stakeholders (business and IT) need to be aligned on priorities, feasibility, and roadmap for GenAI adoption.
- **Foundation for Roadmap Development:** The engagement aims to establish a qualified pipeline of use cases and a prioritized implementation roadmap.
- **Data Readiness Assessment Needed:** There is a need to evaluate data availability, quality, governance, and accessibility as a foundation for GenAI initiatives.

---