CSDM AI Readiness

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After taking the quick scan, you will have brief insight into:

Your maturity score — from Critical to AI Leader
How you compare against ±70 enterprises in your industry
Potential areas risking your AI initiatives and where opportunities lie
A baseline to open executive conversations

The scan is fully anonymous — a starting point to spark the right discussions inside your organization and to position your AI investments where they will actually deliver value.

Organization profile

What is the size of your organization (number of employees)?

Small — fewer than 500 employees
Mid-market — 500 to 4,999 employees
Large enterprise — 5,000 to 24,999 employees
Global enterprise — 25,000 or more employees

How long has your organization been actively working with CSDM/CMDB on the ServiceNow platform?

Less than 1 year (early adopter)
1 to 3 years (building foundation)
3 to 5 years (maturing)
More than 5 years (established)

Data foundation & automation

How is your CMDB data mostly populated today?

More than 75% through automated discovery and mapping tools
Between 50% and 75% automated, the rest manual
Between 25% and 49% automated, the rest manual
Less than 25% automated (mostly manual entry)

How many separate systems does your organization use as a “source of truth” for IT assets?

1 unified system
2 systems
3 systems
4 or more systems

What percentage of your in-scope IT configuration items (CIs) are actually present in your CMDB today?

More than 90%
70–90%
50–69%
Less than 50%

Ownership & governance

Has your organization assigned named Service Owners who are responsible for keeping their service data accurate?

Yes, more than 75% of services have a named, accountable owner
50–75% of services have a named owner
Less than 50% of services have a named owner
No named Service Owners assigned

How often is service and CI ownership reviewed and updated in your CMDB?

Continuously (weekly or more often)
Monthly
Quarterly
Yearly or never

Do you have documented, repeatable processes for at least 80% of your routine IT maintenance tasks?

Yes, more than 80% are documented
60–79% are documented
40–59% are documented
Less than 40% are documented

How is CSDM governance maintained in your organization?

A dedicated governance team uses automated tools, audits, and data certifications continuously
A defined team performs scheduled reviews using a mix of automated and manual checks
Maintenance is informal and handled by the CMDB team when time allows
No structured maintenance — governance exists on paper only

When CSDM and data quality issues are identified, how does your organization typically respond?

Proactively — we plan and invest to fix root causes
Selectively — we fix high-impact issues only
Reactively — we fix issues only when something breaks
We rarely address them

Business alignment & CSDM adoption

Has your organization adopted the CSDM framework to structure its IT services?

Yes, fully adopted across more than 75% of services with active governance
Adopted across 50–75% of services
Adopted across less than 50% of services
Not adopted

When an incident happens, can your CMDB show which business services are affected, along with their dependencies, relationships, and operational context?

Yes — full real-time view of affected services, dependencies, and business context
Partial — we can see affected services and some dependencies, but limited context
Basic — we can identify the failing CI but not the wider impact
No — we cannot trace incidents to business service impact

Does your organization have an enterprise AI strategy, and if yes (or if not yet), what are the primary goals you are pursuing or would pursue with AI? (Select all that apply — score = highest selected)

Yes — we have an AI strategy, and we use AI to:
No — we do not have an AI strategy yet, but we would use AI to:

AI maturity & data quality

What percentage of your IT service requests are currently handled by automated or AI-driven workflows without human involvement?

More than 50%
25–50%
10–24%
Less than 10%

When CMDB data is used to make a decision (impact analysis, change planning, incident routing), how often is it wrong or out of date?

Rarely — less than 10% of the time
Sometimes — between 10% and 25% of the time
Often — between 25% and 50% of the time
Most of the time — more than 50% of the time

Culture & leadership

How does leadership in your organization view IT?

As a strategic partner driving business outcomes
As a service provider supporting the business
As a cost center to be minimized
Leadership has no defined view of IT

How would you describe collaboration between business stakeholders and IT on data and service definitions?

Strong — business is actively engaged with shared accountability
Regular — business is consulted at key milestones
Limited — business is consulted occasionally
Weak — IT works in isolation

What do you see as the biggest challenge in adopting AI workflows in your organization?

Lack of CSDM or data structure
Data is fragmented across systems (data silos)
Talent and skills shortage
Budget constraints

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