IT Service Management Assessment

Technology Service Catalog Maturity Assessment

Evaluates service catalog maturity across governance, pipeline, data and structure, platform and integration, offerings and fulfillment, maintenance, retirement, adoption and performance, with coverage of AI offerings and agent access.

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Who it is for

  • Service Owners and Business Relationship
  • Service Desk and Fulfillment Operations
  • Platform, Architecture and Integration
  • IT Finance and Supplier Management
  • Process Owner/Full Model Assessor

Service Catalog Manager / Head of IT Service Management / Service Owners / Platform and Portal Owners. Secondary: Service Desk and Fulfillment Leads, IT Finance, Enterprise Architects, AI Governance and Platform Engineering leads.

What you will gain

Shows whether the catalog accurately represents what IT delivers and drives how services are consumed, where entries go stale or fulfillment breaks down, whether AI tools and platform services are offered under control, and which fixes will most raise adoption, speed and trust.

About this assessment

A service catalog should be the front door to IT. In many organizations it is a list on the intranet that nobody trusts: entries are out of date, prices and service levels are missing, requests still arrive by email, approved AI tools are nowhere to be found, and retired services leave behind users, licenses and integrations nobody cleaned up.

This assessment checks whether the catalog has a policy, a defined process with clear accountability, a governing board, owners and funding. It checks whether new services are justified, reviewed for overlap, forecast and readied before launch; whether entries follow a data standard, are easy to find and request, and show the right items to the right people; and whether the platform is controlled, integrated, secure and readable by AI agents as well as people. It covers whether offerings carry service levels, costs and change linkage, including AI tools and reusable platform services such as pipeline templates; whether entries stay accurate as services and their AI components change; whether retirements are clean; whether people actually use the catalog; and whether adoption, speed, satisfaction and shadow IT drive improvement.

Each question is scored on three dimensions: Documented, Implemented and Effective. This separates practices that exist only on paper from practices that run but are never written down, and from practices that run but are never measured.

What we assess: 9 domains

Each domain is a group of related questions, scored on its own and rolled up into your overall result.

01 · 7 questions

1 Catalog Governance and Accountability

Catalog policy and scope, management process and RACI, governance board, service owners, business engagement, funding and resourcing, team competency

02 · 7 questions

2 Service Pipeline and Intake

Pipeline register, business case, architecture and overlap review, demand forecast, launch and support readiness, pipeline-to-catalog traceability

03 · 7 questions

3 Catalog Data and Structure

Catalog data standard, taxonomy, consumer descriptions, entitlement, bundles, portal usability and accessibility, personalization

04 · 10 questions

4 Catalog Platform and Integration

Platform requirements, item build and release control, CMDB and asset integration, interfaces, portal security, mobile, AI discovery, agent-readable catalog, AI agent requesters, roadmap

05 · 9 questions

5 Service Offerings and Fulfillment

Offering definition, published service levels, costing, AI service offerings, reusable platform and pipeline offerings, standard change linkage, fulfillment automation, custom requests, fulfillment monitoring

06 · 9 questions

6 Catalog Maintenance and Accuracy

Scheduled review, overdue escalation, change-triggered updates, CMDB synchronization, dependency maps, AI components, supplier alignment, change notices, accuracy audits

07 · 5 questions

7 Service Retirement and Decommissioning

Retirement governance, user migration, license and cost reclamation, dependency cleanup, record retention

08 · 5 questions

8 Adoption, Communication and Change

Awareness, consumer enablement, channel steering, cross-IT collaboration, major catalog change management

09 · 6 questions

9 Catalog Performance and Improvement

Adoption, cycle time benchmarks, satisfaction, request patterns, shadow IT and shadow AI, improvement program

KPIs to track

Measures that show whether the improvements hold.

KPI
Catalog Coverage - Share of in-scope live IT services published in the catalog. Target: 100%.
Fulfillment Within Service Level - Share of catalog requests fulfilled within the published target. Target: 95% or higher.
Entry Accuracy - Share of audited entries with no error in price, service level, owner or availability. Target: 98% or higher.
Catalog Adoption - Share of IT fulfillment requests raised through the catalog rather than email, phone, chat or walk-up. Target: 85% or higher.
Sanctioned AI Access - Share of AI tools in use that are available as approved catalog offerings. Target: 100%.

Framework alignment

Questions are written in plain language and mapped to:

  • ISO/IEC 20000-1:2018
  • ITIL 4
  • COBIT 2019
  • ISO/IEC 27001:2022
  • ISO/IEC 42001:2023
  • NIST AI RMF 1.0
  • ISO/IEC 19770-1:2017
  • ISO 9241-210:2019
  • W3C WCAG 2.2

Works best with

Practices this assessment relies on. Assessing them too gives a fuller picture.

Configuration Management: catalog synchronization, dependency maps and AI component records rely on a maintained CMDB.
Change Management: change-triggered updates, item release control and standard change linkage depend on a working change process and standard change library.
Service Level Management: published service levels should come from agreed SLAs.
AI Governance and AI Use Case Lifecycle: AI offerings, agent access and AI components depend on an AI system inventory and acceptable use policy.
Request Data: adoption, cycle time and shadow IT questions are best answered from twelve months of request data.
Recommended: Use the Service Level Management, Service Desk, AI Governance and AI Spend Management assessments alongside this one.

What you get

Maturity scores

An overall score and a score for each of the 9 domains.

Gap analysis

A clear view of where current practice falls short, and why it matters.

Improvement recommendations

Prioritized next steps to move each area to the next level.

Detailed report

Results you can share with leadership and track over time.

See where you stand on Technology Service Catalog Maturity Assessment

Register, take the assessment, and get your maturity score with a clear improvement roadmap.

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