ITAM-first ITSM features for small and mid-sized IT teams

AssetGPT is built for teams that need asset lifecycle management, CMDB context, service desk workflows, service catalog, automation, self-service, SLA management, reporting, and GDPR/compliance evidence in one practical operating layer.

The platform is designed for teams replacing spreadsheets, consolidating disconnected tools, or trying to make a CMDB operational during real support work. AssetGPT connects assets, relationships, tickets, owners, documents, certificates, knowledge, automations, SLAs, and compliance context so operators can answer practical questions faster.

Richard AI with operational context

Richard AI can help users find context, summarize records, draft useful notes, guide requesters, and answer knowledge-backed questions while the IT team remains responsible for approvals, changes, remediation, and compliance decisions.

Asset lifecycle management

AssetGPT supports lifecycle stages such as onboarding, assignment, active use, maintenance, renewal, offboarding, retirement, and disposal evidence. Teams can track ownership, location, status, related documents, contracts, certificates, and service history around the asset.

CMDB and relationship mapping

The CMDB layer links assets to applications, databases, servers, network devices, users, teams, locations, contracts, certificates, documents, and tickets. This helps teams understand impact during incidents, planned changes, certificate reviews, audits, and renewals.

Service desk and ITSM workflows

AssetGPT includes incidents, service requests, service catalog, changes, problems, email intake, approvals, SLA management, and knowledge workflows. Tickets can carry asset context, assets can show ticket history, and changes can be planned with dependency context.

Automation, self-service, and reporting

Automation helps reduce repetitive routing and follow-up work. Self-service lets requesters use portal flows, service catalog items, and knowledge-backed guidance before escalation. Reporting helps managers review workload, SLA performance, asset coverage, compliance checks, and operational health without rebuilding exports by hand.

The service catalog gives requesters a guided front door for standard work such as access, software, hardware, account, and service changes. Admins can define catalog items, requester questions, defaults, visibility, approval rules, and fulfillment metadata so submitted catalog requests become normal service requests with tracking, approvals, and automation context.

Self-service is strongest when it is connected to the same support information, knowledge base, ticket creation, attachments, confirmations, and escalation settings that agents use. That keeps requester guidance and agent work aligned instead of creating a second support channel that has to be reconciled later.

SLA management gives teams a clearer way to define response and resolution expectations by ticket type, priority, and business calendar. Combined with dashboards and reporting, it helps managers see where work is at risk before service quality slips.

GDPR and compliance reporting

AssetGPT supports GDPR/ROPA context, NIS2 configuration, audit history, role-based access, evidence files, compliance rules, dashboards, and operational reporting. Compliance records stay close to the assets, owners, tickets, and documents they describe.

For compliance-minded teams, the important feature is proximity. Data profiles, evidence, documents, history, owners, processing context, assets, and service records should be close enough that reviews can be performed from the operating record rather than reconstructed from folders and spreadsheets.

Excel import and operational cleanup

AssetGPT supports spreadsheet-based onboarding and cleanup for teams that already have asset data in Excel. That lets a team import a first slice of records, validate the structure, then enrich ownership, lifecycle state, and relationships over time. This matters because many ITAM projects fail when the team is asked to clean everything before value starts.

Security and vulnerability context

Asset records can support security work when they are connected to owners, CPE mappings, vulnerability findings, NVD-backed CVE data, known exploited vulnerability signals, and operational priorities. AssetGPT ties this context back to real assets so teams can focus on exposure that has a practical owner and remediation path.

Who AssetGPT is built for

AssetGPT is built for IT managers, service desk leads, MSP owners, and compliance-minded IT teams that want ITAM, CMDB, ITSM, AI assistance, automation, self-service, SLA management, GDPR/compliance reporting, and dashboards without buying into a long enterprise platform program. It is practical for small and mid-sized teams that need trustworthy asset context during daily work.

The feature set is intentionally focused on operational clarity, fast adoption, and maintainable records.

Useful related pages

Read what is ITAM for the asset management definition, ITSM vs ITAM for the service management comparison, and AssetGPT pricing for public plan information.