IT Asset Management (ITAM)
Hardware, software, and SaaS — under one roof, with reconciliation that actually stands up to a vendor audit. Most ITAM programs underdeliver because they were treated as a finance project instead of an operational one.
Why it matters
ITAM is where most organizations have the largest gap between what they think they own and what they are actually paying for. Software publishers know this. Procurement suspects it. Finance lives with it. Meanwhile, retired hardware sits on the books and SaaS subscriptions multiply quietly across departments.
A working ITAM practice closes that gap with three disciplines: a normalized asset model, reliable consumption data from Discovery and SAM agents, and a contract layer that maps entitlements to what is actually deployed. None of these are individually hard. Together, they require deliberate sequencing.
When ITAM is real, true-up surprises shrink, license harvesting becomes routine, and the IT-to-finance conversation moves from defensive to strategic. We have seen organizations recover meaningful annual spend within the first cycle simply because they finally had the data.
The deeper win is operational: every other ITSM and ITOM workflow gets better when the underlying asset record is trustworthy.
How Amazon Consulting helps
We focus on the parts that move the needle — normalization, reconciliation, and a few high-value publishers — before trying to boil the ocean.
Asset model & sources
Define hardware, software, and SaaS asset classes; align with CMDB; identify and onboard authoritative sources (Discovery, SAM agent, vendor portals, HR feeds).
Normalize & reconcile
Stand up software normalization, contracts, and entitlements; reconcile against actual deployment data; surface the gaps that finance and procurement need to act on.
High-value publishers first
Tackle Microsoft, Oracle, IBM, Adobe, and your top SaaS spend before chasing the long tail. Build the optimization workflows around them first.
Operate & optimize
Embed harvesting, refresh, and renewal workflows; report on savings and audit posture; expand coverage as the practice matures.
AI & automation in ITAM
AI-assisted normalization, anomaly detection on consumption, and renewal-prediction scoring are practical wins once the underlying data is clean. We use them where they shorten the path to savings, and we keep humans in the loop for entitlement decisions and audit responses.
Recent engagements
Recent ITAM work has focused on rescuing stalled SAM rollouts, building normalization libraries for top publishers, and bringing SaaS spend under management. Outcome data — savings recovered, audit posture changes, renewal cycles shortened — is available under NDA.
Related services
Tired of audit surprises?
A focused ITAM engagement on your top three publishers usually pays for itself inside the first true-up. We can show you how.