The ITAM Executive: A Podcast for IT Asset Management Professionals · Anglepoint

AI for IT Asset Management in 2026

·23 min·1 clip

Chris says AI amplifies data problems, and Ron adds that bad data means bad decisions faster.

1. The ITAM Executive episode “AI for IT Asset Management in 2026” centers on how AI can change ITAM and FinOps workflows in the near future. 2. Ron Brill, president and chairman of Anglepoint and chair of the ISO committee for IT asset management, and Chris Johnson, Anglepoint’s chief product officer, present the webinar and explain why their experience matters. 3. The episode asks what AI is for in ITAM: not “ITAM for AI,” but AI for making ITAM and FinOps more efficient and more effective. 4. Ron Brill says AI can enable near real-time reporting, near real-time analysis, and near real-time action for ITAM and FinOps teams. 5. Ron Brill also says AI can improve data quality by producing more complete, accurate, and relevant data for each stakeholder. 6. Ron Brill highlights workflow automation for software requisition, reclamation, governance enforcement, and other basic actions. 7. Chris Johnson says generative AI should reduce the cognitive load of practitioners and improve speed, accuracy, and consistency on lower-level tasks. 8. Chris Johnson says intelligent document processing for contracts, order documents, entitlement POE data, and ITAM ingestion is now “table stakes.” 9. Chris Johnson names normalization of discovery evidence and publisher names as another major use case for LLMs in catalog management. 10. Ron Brill says the current reality is that production use at scale is still limited, with contract and PO ingestion as the lowest-hanging fruit. 11. Chris Johnson says natural language querying of software contracts and inventory is emerging as a way to replace static reports and notifications. 12. Ron Brill points to ServiceNow’s agentic AI capabilities around software requests, inventory discovery, and optimization as early examples of automation. 13. Chris Johnson says AI may sit on top of enterprise data, like a HubSpot connector into ChatGPT, and change how users access systems of record. 14. Chris Johnson says hallucinations are a real hurdle, but foundation models have improved quickly compared with the prompt-engineering era two years ago. 15. Ron Brill says AI amplifies data problems, and Chris Johnson says bad data yields bad insights and bad decisions faster. 16. Ron Brill cites Gartner’s estimate that about 60% of AI projects will fail because of bad data. 17. The conversation stays practical and executive-level, with Ron answering framework questions and Chris adding product and workflow detail. 18. The tone is webinar-style and instructional, with alternating explanations, follow-up questions, and concrete examples. 19. ITAM, SAM, and FinOps practitioners planning AI pilots will get the most value from this episode. 20. Listeners looking for entertainment or narrative storytelling may skip it.

As heard by us

A practical, control-first AI briefing for ITAM teams.

The piece treats AI for IT asset management as a control problem before it becomes a productivity story. It stays practical: evidence-based documentation, logging, human review, pilot use inside existing workflows, A-B testing, and careful cleanup of the data before anything…

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Use AI in ITAM without skipping the controls.

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