Service Maturity AssessmentSee Where Your Service Operation Actually Stands
Twenty-six questions. Ten domains. A clear picture of where your service operation sits on the maturity curve, from Reactive to Agentic Operations.
About 15 minutes. A diagnostic, not a test.
A structured diagnostic
The Service Maturity Model breaks the operation into distinct domains so each can be assessed honestly, owned clearly, and matured deliberately. This assessment covers the ten core domains every service organization runs on.
A structured diagnostic
Distinct domains assessed honestly, owned clearly, matured deliberately.
About 15 minutes
A handful of short behavioral questions per domain. They ask what actually happens, not what should happen.
Your maturity profile, instantly
A domain-by-domain picture the moment you finish, plus a first read on the highest-value moves.
Before you start
Answer based on what actually happens today, not what is aspirational. If you are between two options, pick the lower one. Responses are not scored against you: this is a diagnostic. The profile you get is a first read, not a final verdict.
The domains of service maturity
When everything is "the service org," nothing has an owner. Most operations run as one undifferentiated whole, so maturity stalls and investment follows noise instead of value. The model breaks the operation into distinct domains so each can be honestly assessed, clearly owned, and deliberately matured.
The ten core domains
A few short questions each, from how work enters the operation through how intelligence flows back out.
Ticket & Work Order Ingestion
Work Order Management
Scheduling & Dispatch
Work Execution
Resource & Workforce Management
Knowledge Management & Technical Documentation
Customer Engagement & Communication
Customer Experience & Satisfaction
Forecasting & Capacity Planning
Analytics, Reporting & Intelligence
The eight extended domains
Often the highest-value domains, but how far each applies depends on the type of business you run. This short diagnostic keeps them out of scope. Reach out for a targeted questionnaire covering the extended domains that apply to you.
Asset Lifecycle Management
Inventory & Parts Management
IoT Connectivity & Predictive Maintenance
Warranty & Entitlement Management
Contractor & Partner Ecosystem
Revenue Operations & Field Billing
Health, Safety & Compliance
GIS & Location Intelligence
Why the split: the ten core domains apply to virtually every service operation, so they can be self-assessed quickly and honestly. That is what keeps this diagnostic short. The extended domains are where some of the largest gains live. Asset-heavy, parts-heavy, and billing-led operations often find their biggest moves there. We can extend the assessment to the ones that apply to you.
Five levels of service maturity
Your answers, taken together, locate each domain on a five-level curve running from Reactive to Agentic Operations. A maturity level describes how a piece of the business tends to run: how decisions get made, how information moves, how much you depend on individuals versus systems. It is not about tools. Two organizations with identical software can sit at different levels depending on how the work is organized around it.
Reactive
No AIHeroics carry the work. Processes are ad hoc, poorly documented, and highly dependent on individual heroics. Service is reactive: work happens in response to failure, not prevention.
Managed
Siloed AI PilotRepeatable, disconnected. Processes are planned and repeatable. Basic tools deployed, data captured, operational visibility established. Teams follow defined procedures most of the time.
Defined
AI-AssistedIntegrated, AI begins. Processes standardized across the organization, integrated across systems, supported by structured data. Early AI-assisted capabilities such as GenAI copilots, summarization, and knowledge generation begin to appear.
Intelligent
AI-AugmentedAI shapes decisions. Data and GenAI drive scheduling, maintenance, inventory, and customer engagement. Predictive and prescriptive capabilities reduce cost. AI assistants augment human decision-making.
Autonomous
Agentic OperationsAgents own execution. Closed-loop autonomous operations. Multi-agent AI orchestrates service delivery with minimal human intervention. Humans supervise and set strategy; agents own execution.
AI deployed onto inconsistent data or unstable processes does not produce intelligence. It produces noise wrapped in confidence.
Level 3 is the AI-readiness threshold. At L1 there is no AI; at L2 it exists only as isolated pilots. Integrated data and stable processes come first.
Find out where you sit on the curve
A domain-by-domain read the moment you finish, plus a first look at your highest-value moves. Answer what actually happens, and the profile does the rest.