IT Service Management Assessment

Service Level Agreements and Performance Maturity Assessment

Evaluates service level management across governance and mandate, the agreement standard and content, requirements and targets, underpinning agreements, monitoring and measurement, breach and exception management, reporting, customer experience and experience level agreements, and service review and improvement.

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Who it is for

  • Service Owners and Business Customers
  • Service Operations and Delivery Teams
  • Supplier and Commercial Management
  • Reporting, Tooling and Data
  • Risk, Compliance and Continuity
  • Process Owner/Full Model Assessor

Service Level Management Process Owner / Service Delivery Manager / Service Owner. Secondary: Business Relationship Managers, Supplier Managers, Reporting Analysts, Site Reliability and Platform Engineers, AI and Automation Leads, Risk and Compliance, Chief Information Officer.

What you will gain

Finds where the service level lifecycle breaks: agreements nobody validated or costed, targets the delivery chain cannot support, AI services promised only uptime, data that cannot be trusted, bots that inflate results, and services that are green on the report while users are unhappy.

About this assessment

Service level management is the promise IT makes to the business and the discipline of keeping it. Many organizations have service level agreements (SLAs) that were never checked against what the delivery chain can support, are measured with data nobody reconciles, and are reviewed in meetings that produce minutes rather than decisions. Artificial intelligence (AI) adds a new layer: AI services can be fully available and still wrong, model providers can retire the model a service depends on, and agents both deliver and consume services around the clock.

The model follows the practice in the order it is built. It starts with the mandate, owner, scope, tiers, people and regulatory obligations, then the agreement standard and metric definitions. It tests how requirements become costed, validated targets with stated workload limits, whether internal teams, suppliers, cloud and AI model providers, and automations and agents underpin each agreement, and whether the chain can deliver it. It then looks at measurement, including honest measurement of bot-handled work, error budgets and breach forecasting; at breaches, waivers, credits and disputes; at reports that lead with exceptions; at whether services are green on paper but frustrating in practice; and at reviews that drive tracked action and a practice that improves itself.

Each question is scored on three dimensions: Documented, Implemented and Effective. This exposes practices that exist on paper but not in daily work, work that is done but never written down, and practices that run but are never measured.

Adjacent single-practice depth sits in other library models: Technology Service Catalog for offerings, Business Relationship Management for surveys and complaints, Service Integration and Management for multi-supplier integration, Incident Management for priority and resolution clocks, Continual Service Improvement for the improvement plan and AI Governance for agent autonomy decisions.

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 · 8 questions

1 Service Level Governance and Mandate

Covers the policy and mandate, process ownership and roles, scope and catalog coverage including AI services, criticality tiering, process interfaces, resourcing, practitioner competency and regulatory service level obligations.

02 · 6 questions

2 SLA Standard and Content

Covers the agreement standard and template, metric definitions, business-readable wording, commitments for AI-enabled services, machine-consumed and platform offerings, and version support for AI pipelines and agents.

03 · 7 questions

3 Service Level Requirements and Targets

Covers requirements capture, continuity commitments, tier packages, cost-to-serve trade-offs, target validation against capability, workload limits, and agreement approval and the register.

04 · 9 questions

4 Underpinning Agreements

Covers OLA coverage, supplier service level schedules, credit and remedy terms, cloud and SaaS providers, AI model providers, automation and agent commitments, agent support hours, the composite calculation and underpinning gap analysis.

05 · 10 questions

5 Service Level Monitoring and Measurement

Covers measurement coverage and automated collection, the calculation platform, service calendars and clock rules, rules for AI-handled work, end-to-end measurement, early warning, objectives and error budgets, breach forecasting, data accuracy and delivery chain measurement.

06 · 7 questions

6 Breach and Exception Management

Covers breach notification and escalation, root cause analysis, waiver control, control of automated changes to SLA records, service credit administration, dispute resolution and out-of-cycle review triggers.

07 · 6 questions

7 Service Level Reporting

Covers the report standard, audience-specific views, exception and trend reporting, review of AI-drafted narratives, self-service dashboards and reader feedback.

08 · 5 questions

8 Customer Experience and Experience Level Agreements

Covers the satisfaction and complaint hand-off, customer journey mapping, experience of AI-handled interactions, perception gap analysis and experience level agreements.

09 · 9 questions

9 Service Review and Improvement

Covers review governance, data-driven review content, action tracking, renewal and retirement, benchmarking, improvement plan integration, lessons learned, agent performance review and improvement of the practice itself.

KPIs to track

Measures that show whether the improvements hold.

KPI
SLA coverage of go-lives - Percentage of services that went live in the period with an SLA signed before their go-live date, counting exempted go-lives as uncovered and listing each exemption with its expiry date beside the figure. Target: at least 90%.
Achievable composite targets - Percentage of critical-tier SLAs whose committed target is at or below the calculated composite of their delivery chain. Target: 100%.
Reported variance - Percentage-point variance between reported SLA achievement and reconciled source data. Target: under 1 percentage point.
Green-but-unhappy services discussed - Services meeting their SLAs with low satisfaction or recurring complaints that were discussed at the SLM forum with a recorded action in the cycle. Target: 100%.
Cleared repeat breachers - Percentage of services whose improvement initiative closed in the last two quarters with no repeat breach in the following quarter. Target: 80%.

Framework alignment

Questions are written in plain language and mapped to:

  • ISO/IEC 20000-1:2018
  • SAMA ITGF
  • COBIT 2019
  • NIST AI RMF 1.0
  • ADHICS v2
  • Regulation (EU) 2022/2554
  • ISO/IEC 42001:2023
  • ISO/IEC 20000-2:2019
  • ISO 22301:2019
  • ISO/IEC 27001:2022
  • ISO/IEC 19086-1:2016
  • OWASP Top 10 for Agentic Applications 2026
  • Google SRE Book
  • Google SRE Workbook

Works best with

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

Technology Service Catalog (v10.9.6): owns services, offerings and published service level options; this model sets the commitments and tests that scope rules and renewals run against the live catalog.
Service Integration and Management (v6.9.6): owns multi-supplier integration and cross-provider measurement; this model tests that OLAs and supplier schedules underpin each agreement and that breaches are attributed by tier.
Incident Management (v9.9.6): owns prioritization, resolution clocks and major incidents; this model tests that tiers set priority and that clocks follow the agreement.
Business Relationship Management (v10.9.6): owns the survey program and complaint handling; this model tests that results reach each covered service and drive perception gap analysis.
AI Governance (v11.9.6): owns the AI inventory, risk assessment and agent autonomy decisions; this model sets AI service commitments and sends agent review recommendations to its forum.
Recommended: assess Technology Service Catalog first, then this model, with Service Integration and Management alongside where suppliers carry much of the delivery.

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 Service Level Agreements and Performance Maturity Assessment

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