// Software Asset Management with SAM AI Powered by Raynet One
Reduce costs, strengthen compliance, and stay audit-ready with SAM AI
Software Asset Management (SAM) is the process of recording, managing, and optimizing software assets across their lifecycle to reduce costs, ensure compliance, and minimize audit risks. SAM AI powered by Raynet One extends this with AI-powered license intelligence by connecting inventory and usage data with contracts and vendor licensing rules to deliver faster, explainable decisions.
Greater control and audit readiness with SAM AI
Software licensing has become harder to manage. Hybrid landscapes, SaaS growth, usage-based licensing, and changing vendor rules create a correlation challenge: purchases, contracts, product terms, installations, and usage signals rarely match cleanly.
Raynet One brings SAM into one platform workflow. Discovery, normalization, compliance, and reporting work together so teams can act strategically instead of reconciling spreadsheets.
SAM AI strengthens this workflow by structuring contract inputs and applying vendor-specific licensing logic to help calculate your Effective License Position (ELP), detect risks earlier, and surface optimization opportunities with audit-ready, explainable results.
Maximize efficiency and audit readiness with Software Asset Management and SAM AI
Reduce IT costs with smarter license optimization
Identify unused and underutilized licenses, eliminate overlaps, and improve utilization across subscription and perpetual models before renewals lock in unnecessary spend.
Strengthen compliance and reduce audit risk
Support defensible ELP work with contract-backed entitlement understanding, vendor-specific licensing logic, and consistent reporting for internal reviews and audits.
Automate and simplify SAM work with Raynée
Structure contract inputs, correlate them with inventory and usage, and keep positions current through automated analysis. Ask questions in plain language and get explainable answers that show the licensing logic applied.
Proactively reduce security and operational risk
Identify outdated software, unmanaged applications, and shadow usage patterns that increase exposure, and support cleanup decisions with reliable portfolio insight.
Software Asset Management with SAM AI
Defensible Software Asset Management depends on connecting the right inputs. SAM AI links inventory and usage data with contracts and entitlements, then applies vendor-specific licensing logic to produce audit-ready results.
SAM AI builds a reliable baseline across endpoints, servers, cloud, and SaaS, then ingests key documents such as purchase orders, master agreements, and amendments. Using OCR and structured extraction, it turns contract content into entitlement data and correlates it with inventory and usage signals.
To handle licensing complexity, SAM AI applies vendor-specific intelligence through the Deloitte License Codex, an AI-enriched knowledge base for 100+ vendors. This supports consistent interpretation of rules such as downgrade rights, bundling, suite scope, license chains, and metric-specific requirements.
With these inputs connected, SAM AI helps calculate Effective License Positions (ELP), detect compliance risks, and generate optimization recommendations through reports and Raynée, the conversational interface, so teams can act earlier ahead of renewals and audits.
Raynet & USU optimize group-wide Software Asset Management
With Raynet One, Fresenius Digital Technology improved the quality, completeness, and transparency of its IT asset data across a complex, decentralized IT environment. Automated discovery and continuous data collection created a reliable foundation for accurate and up-to-date configuration data.
By reducing manual data collection and increasing visibility across the IT landscape, Fresenius established a more consistent data basis for reporting, IT operations, and data-driven decision-making.
Customers who rely on Raynet technologies
Connect SAM AI to the systems and documents you already use
SAM AI works best when it is connected to your procurement, contracts, and real usage signals. Raynet One can integrate with existing sources and ingest key documents to unify entitlement and usage understanding.
Typical inputs include:
- Procurement and ERP data for purchase history and entitlement baselines
- CMDB and ITAM data for ownership, environment, and lifecycle context
- Discovery and inventory sources for installations and usage signals across endpoints, servers, cloud, and SaaS
- Contract documents such as POs, master agreements, amendments, and license statements
- Vendor product terms and licensing logic applied through the Deloitte License Codex
This creates a consistent foundation for ELP, optimization, and audit reporting without relying on manual interpretation or static spreadsheets.
Discover exciting topics related to Software Asset Management
Frequently asked questions about Software Asset Management
What is Software Asset Management (SAM)?
What is SAM AI?
SAM AI is the AI-powered engine within Raynet One that connects discovery and inventory data with contracts, entitlements, and vendor licensing logic. It helps automate ELP analysis, detect risks, and generate optimization recommendations with explainable outputs.
What is an Effective License Position (ELP)?
How does SAM AI improve compliance and audits?
What makes SAM AI different from traditional SAM tools?
What documents and data sources can SAM AI use?
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