Does AI Help or Hinder SAM?
AI is more than a buzzword. It’s the new technology that is here to stay and has enormous opportunity to simplify work, crunch data and create new content. Employees are now able to do more with less, and some job roles will even disappear with this data-driven technology that brings efficiency to the forefront.
Let’s be honest. As much as AI is great for productivity and cost savings, it brings a bit of fear to the workforce. And when it comes to software asset management (SAM), there’s good reason to be fearful of what AI can add or detract from your program.
SAM is the process of managing and optimizing software within an organization, ensuring efficient and effective use throughout its entire lifecycle. Much of this research, data crunching and tracking assets can or soon will be done with AI, but there is still a need for human consumption of the data to make decisions on how to proceed forward. Humans will continue to be involved with the process so long as publishers are motivated by profit and salespersons are incented to maximize their earnings.
AI can significantly enhance SAM, but it can also introduce new challenges if not implemented carefully. Let’s take a deeper look:
How AI Helps Software Asset Management:
- Rapid Research
Tens of thousands of pages of policy, implementation manuals, contract language, contract law, etc., are being used to train LLMs to answer license and subscription questions. What used to take hours or even days to research is now answerable and applicable immediately. - Automated Discovery & Inventory
Reduce the risk of shadow IT and incomplete inventories by using AI to scan and identify software installations across complex environments including cloud, on-premises and hybrid setups. - Intelligent License Optimization
Reduce over-licensing and wasted spending by utilizing AI models to analyze usage data and recommend right-sizing (e.g., downgrading underused licenses or reclaiming unused ones). - Predictive Forecasting
Help teams plan more effectively by employing AI to forecast license requirements, renewal timelines and budget impacts. - Risk & Compliance Monitoring
Reduce the risk of fines or legal exposure by prompting AI to detect anomalies, flag non-compliant installations and anticipate potential audit triggers. - Faster Decision Support
Aggregate data across systems and present actionable insights with AI to enable quicker and more confident decisions during audits, renewals or negotiations.
How AI Can Hinder SAM:
- Data Quality Issues
AI depends heavily on clean, reliable data. Inaccurate or fragmented data inputs can lead to incorrect conclusions or false recommendations. - Over-Reliance on Automation
Blindly trusting AI outputs without human oversight can be risky, especially during license audits or contract negotiations where nuance matters. - Lack of Vendor Context
AI tools may not fully account for vendor-specific rules (e.g., Oracle’s complex license metrics or Microsoft’s contract entitlements) and lead to misinterpretation. - Security and Privacy Concerns
AI tools integrated into SAM platforms can raise concerns about sensitive licensing or usage data being exposed or misused, especially in regulated industries. - Vendor Bias in AI Tools
If AI-enabled SAM tools are developed or influenced by software vendors themselves, the “optimization” recommendations may favor the vendor’s interests, not the customer’s financial interest.
Bottom Line:
AI is a powerful enabler of modern software asset management when combined with accurate data, human expertise and vendor-neutral tools. Organizations should use AI to augment SAM and not for replacing strategic judgment or experienced negotiation.
Remend is here to help you integrate AI into your SAM tooling. As an independent advisor, we work in your best interest to achieve maximum use of your license agreements at a lower cost. We have skin in the game with our protected savings program – we get paid when you save.
Learn more at www.remend.com or schedule a free consultation.