Over the years, InvGate Asset Management has helped organizations build structured, reliable IT inventories, creating the visibility and control required for effective IT Asset Management. That maturity is critical, but visibility alone does not eliminate one of the biggest operational burdens IT teams still face: constant manual work.
Atlas was designed to address this gap. As an AI-driven enrichment capability, Atlas automatically retrieves and attaches vital lifecycle intelligence to your assets - starting with end-of-life and end-of-support data. Instead of searching vendor documentation, tracking support dates, or validating versions manually, teams receive contextual information directly within their inventory.
This reflects InvGate Asset Management's broader vision for AI-enabled features. Our approach is not about replacing decision-making, but about reducing friction, eliminating repetitive analysis, and transforming raw asset data into actionable intelligence. In short, the goal is for your assets to start knowing things about themselves.
What is InvGate Asset Management Atlas?
Atlas is a built-in, AI-powered functionality of InvGate Asset Management that automatically retrieves vital asset context from official external sources and uses it to enrich your IT inventory. Instead of relying on manual research across vendor documentation and websites, Atlas brings trusted product intelligence directly into your asset records.
By reducing repetitive lookup work, Atlas helps minimize the delays and human errors commonly associated with manual lifecycle tracking. With richer, more reliable context available inside the inventory, IT teams can extract more meaningful insights and make better-informed decisions around planning, risk, and governance.
Why Atlas is a platform-defining capability
Atlas represents a structural shift in how asset data is maintained and operationalized. Instead of treating lifecycle intelligence as an external responsibility managed through spreadsheets and periodic audits, organizations gain a system where critical context continuously updates itself.
This shift turns inventories and even Configuration Management Databases (CMDBs) into living intelligence systems, where visibility, risk detection, and decision support operate on top of data that does not decay over time.
What Atlas enriches automatically - and what's coming
Atlas is designed as an evolving intelligence capability, with enrichment coverage expanding over time. Here is what's available today and what's on the roadmap:
Available now
Atlas currently enriches the following asset types: computers, switches, routers, printers, and databases.
- End-of-life (EoL) dates - Identifies when hardware products reach the end of their lifecycle, helping teams anticipate obsolescence risks.
- End-of-support (EoS) dates - Highlights when vendor support ends, enabling proactive planning for upgrades, replacements, or risk mitigation strategies.
Coverage is broad but not universal. Atlas keeps adding manufacturers and models over time, though full, 100% coverage isn't realistic given how many vendors don't publish this data at all. Lenovo coverage is at approximately 99.8%; other brands vary depending on whether the manufacturer publishes EoL/EoS data.
Note: Atlas is currently available for cloud instances only. On-premises support is being scoped but is not yet available.
Atlas has also started auto-populating CI descriptions across the inventory:
- CI Descriptions - For CIs that previously had a blank description field, Atlas now generates one automatically from vendor and product knowledge. The description is shared across all CIs of the same type, which cuts down the setup work for new assets and improves the overall quality of CMDB records without any manual data entry.
On the roadmap
- OS end-of-life and end-of-support - Lifecycle data extended to operating systems. In practice, this means your asset will be able to tell you when the OS running on it goes end-of-support, without a separate lookup.
- Software latest version - Atlas will flag when the installed version of a software CI is behind the latest available release. This extends Atlas beyond risk flagging (EoL, EoS) into a currency check: not just "is this at risk?" but "am I running the current version?"
- Software EoL/EoS - Lifecycle coverage extended to software products.
- Similar/alternative products - For hardware approaching end-of-life, Atlas is expected to surface a vendor-recommended successor model; for software, known alternatives. This opens Atlas up as a decision-support tool at refresh time, not only a risk-flagging one.
These are still early-stage roadmap items with no committed ship date; scope and timing may change as they move through specification and development.
Representative use cases enabled by Atlas
Traditional ITAM requires teams to chase information. Atlas is designed so information chases the team. This enrichment unlocks a range of high-impact scenarios that are fully supported by InvGate Asset Management’s existing explorers, dashboards, reports, and automations.
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End-of-life forecasting - With lifecycle dates automatically populated, IT teams can proactively identify assets approaching End of Support or End of Life. Explorer filters, scheduled reports, and dashboards make it possible to visualize obsolescence risks and plan refresh cycles without maintaining external tracking spreadsheets.
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Automated lifecycle alerts - Atlas enrichment allows organizations to define automation rules based on lifecycle thresholds. Teams can trigger notifications, workflows, or ticket creation as support deadlines approach, ensuring that critical dates never depend on manual monitoring.
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Hardware refresh planning - Enriched asset context simplifies technology evaluation and replacement decisions. Lifecycle data provides faster insight when assessing upgrade paths or standardization opportunities.
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Database Lifecycle Management - Atlas improves visibility into database technologies and their support timelines. For example, in a fleet of 40 MySQL instances, one might still be running MySQL 5.7, which reached end-of-life in October 2023. Atlas surfaces this directly in that database's CI profile, along with the EoL date and a link to the vendor's own announcement, so the upgrade can be scheduled without running a separate audit. Teams responsible for platform stability can monitor lifecycle risks this way, build targeted dashboards, and define alerts tied to vendor support milestones.
What’s next: Atlas and the evolution of AI in InvGate Asset Management
Atlas is not an isolated capability, but part of a broader intelligence layer that also includes Smart Recommendations and CMDB Auto Mapping. Together, they form a continuous loop: Atlas enriches asset context, Smart Recommendations translates that context into guided decisions, and CMDB Auto Mapping keeps the relational structure of the environment accurate and up to date - automatically.
As Atlas's coverage expands, its role is also broadening beyond risk flagging. Software latest version, on the roadmap, is designed to answer a different question than EoL and EoS: not "is this at risk?" but "is this current?" And similar products, also on the roadmap, moves Atlas from awareness into decision support - for a hardware asset nearing end-of-life, the idea is for Atlas to surface a vendor-recommended successor model, giving procurement teams a starting point instead of a blank page.
The result is a system designed not only to inform IT teams, but to actively support how they plan, prioritize, and respond.
Key takeaways
- Atlas introduces an intelligence layer into InvGate Asset Management - Instead of relying on manual research, IT teams gain automated access to critical asset context sourced from official external references.
- Today, Atlas covers EoL and EoS data for computers, switches, routers, printers, and databases, plus auto-generated CI descriptions across the inventory - with OS lifecycle data, software version currency, software EoL/EoS, and similar-product suggestions still on the roadmap, without a committed date yet.
- Inventories and CMDBs evolve into living intelligence systems - Decisions are supported by data that continuously maintains its relevance rather than decaying over time.
- Atlas is expanding from risk flagging toward decision support - Upcoming capabilities like software version currency and similar-product suggestions are designed to help teams not just spot risk, but act on it.
- Atlas establishes the foundation for Smart Recommendations - Enrichment and remediation work together as a continuous loop, moving teams from awareness toward guided decision-making.
- Currently available for cloud instances only - On-premises support is on the roadmap.
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Or if you'd rather see how it applies to your specific environment, you can book a call with our team and we'll walk you through it.
