TL;DR: Eve Maler argues that identity teams should operate like product owners, not ticket-takers, because identity now serves protection, personalization, payment, and people at once, according to Saviynt. The shift reframes metrics, stakeholder expectations, and service design, making governance a product problem rather than a queue-management problem.
At a glance
What this is: This conversation argues that identity teams should manage identity as a product with users, outcomes, and service design rather than as a queue of requests.
Why it matters: For IAM and identity governance teams, the shift changes how work is prioritised, measured, and communicated across human identity programmes and the broader identity estate.
Context
Identity programmes often fail when they are organised around ticket throughput instead of user outcomes. In that model, teams optimise for closing requests rather than improving how employees, partners, and customers experience identity services.
The article frames identity as a product because it now supports multiple business functions at once, including security, personalisation, payment, and user experience. That creates a governance problem as much as a service-delivery problem, especially when teams are asked to satisfy competing demands without a clear product model.
The article also broadens the identity conversation beyond access workflows into digital estate and name, image, and voice risk, showing that identity leadership now has to account for both operational service quality and the long tail of identity misuse.
Key questions
Q: How should identity teams move from ticket queues to product ownership?
A: Start by defining identity as a service with users, outcomes, and service levels. Give the program named ownership, publish measurable goals, and redesign work so requests, exceptions, and lifecycle tasks are managed as part of a product roadmap rather than a backlog of isolated tickets.
Q: Why does a ticket queue model fail for identity governance?
A: A queue model optimises throughput, not service quality. It tends to hide user friction, fragment accountability, and encourage reactive work, which is a poor fit for identity services that affect security, business enablement, and experience at the same time.
Q: How do you know if identity is being run like a product?
A: Look for clear service ownership, defined user journeys, outcome-based metrics, and prioritisation that reflects stakeholder needs rather than only request volume. If the team cannot explain the value of the service in user terms, it is still behaving like a ticket desk.
Q: What should identity teams do when identity serves both security and business goals?
A: Separate the objectives explicitly and document the trade-offs. Identity teams should make it clear when a decision is optimising protection, personalisation, payment, or user experience, because those goals can conflict and need visible governance.
Technical breakdown
Why ticket queues distort identity service design
A ticket queue model measures volume and speed, not whether the identity service is actually fit for purpose. In practice, that pushes teams toward reactive fulfilment, fragmented stakeholder expectations, and shallow success metrics. Product thinking changes the unit of work from individual requests to service outcomes, which is closer to how identity is experienced across onboarding, access, personalisation, and support. The core insight is that identity is not just a control plane. It is an internal product with users, journeys, and competing requirements that must be managed deliberately.
Practical implication: identity teams should define service outcomes and ownership models, not just backlog handling rules.
What the Four Ps change in identity governance
The Four Ps, protection, personalisation, payment, and people, reframe identity as a system that must satisfy security and business utility at the same time. Protection covers privacy, reputation, and security risk. Personalisation and payment tie identity to commercial and user-facing value. People captures the user outcomes identity historically underserves. This matters because it expands the governance conversation beyond access control into service design, metrics, and cross-functional trade-offs. Identity leadership has to decide which outcome is being optimised, for whom, and where compromise is acceptable.
Practical implication: align identity metrics to multiple outcomes so security decisions do not erase usability or business value.
How identity standards support digital estate governance
The digital estate problem shows why identity governance extends beyond living users and active accounts. When account access, device access, and digital wishes intersect, identity standards and interoperability become the mechanism that makes execution possible across services. Without common identity and delegation patterns, even legitimate requests become operationally messy and difficult to resolve consistently. The same governance challenge applies wherever identity must survive a lifecycle event, whether that is a leaver process, estate handling, or cross-service access continuity. Standards matter because they reduce ambiguity in who can act, when, and under what proof.
Practical implication: treat interoperability and lifecycle rules as core identity governance requirements, not optional integration work.
NHI Mgmt Group analysis
Identity teams are becoming product organisations whether they admit it or not. Once identity supports security, personalisation, payment, and user experience, ticket handling is too narrow to describe the job. The operating model has to shift from request fulfilment to service ownership, with clear outcomes, service boundaries, and accountability. That is an IAM governance change, not a workflow tweak.
The product-owner mindset is the right corrective to queue-driven identity operations. Queue logic rewards throughput, but identity services are judged by whether users, partners, and customers can actually get what they need without excess friction or risk. That means metrics, stakeholder language, and prioritisation all have to move together. The practitioner conclusion is simple: if identity is a product, it must be governed like one.
Identity’s scope now spans more than access management. The article’s discussion of protection, personalisation, payment, people, and digital estate issues shows that identity programmes sit at the intersection of security and business value. That broad mandate makes narrow ticket-handling models structurally inadequate. Practitioners should expect identity governance to be measured on service outcomes, not just control completion.
Named concept: identity service ownership. This article gives a useful way to describe the shift from fulfilment queues to accountable product stewardship for identity services. It captures the reality that identity teams now own an internal product with users, journeys, and outcomes, rather than a transactional admin function. The implication is that identity governance has to be organised around service design, not request volume.
The digital estate discussion widens identity governance beyond the employee lifecycle. When identity interacts with estate handling, family access, and account continuity, the programme is no longer only about joiner-mover-leaver processing. It becomes a broader trust and interoperability problem. That is where standards, lifecycle policy, and delegation design become the real governance levers.
What this signals
Identity programmes will increasingly be judged on service experience, not only control completion. That changes the role of IAM leaders from queue managers to product stewards who can explain value in terms the business recognises.
Identity service ownership: the next governance maturity step is to treat identity as an internal product with users, design choices, and measurable outcomes. Teams that keep managing identity as administration will struggle to balance security, usability, and business enablement.
For practitioners, the practical question is no longer whether identity is important. It is whether the operating model can support the breadth of work identity now carries without collapsing into backlog triage.
For practitioners
- Define identity as a managed service Document the identity product’s users, journeys, service boundaries, and ownership model so the team can prioritise outcomes instead of tickets.
- Replace queue metrics with outcome metrics Track measures such as time to access, error rate, user friction, and business enablement alongside security and compliance measures.
- Map the Four Ps to programme goals Separate protection, personalisation, payment, and people into explicit objectives so stakeholders can see which outcomes are being balanced in each decision.
- Build lifecycle rules for digital estate scenarios Extend identity governance beyond active employees to account access continuity, delegation, and post-death or post-transfer handling where required.
Key takeaways
- Identity teams that operate as ticket queues optimise throughput, but not the broader service outcomes modern identity programmes are expected to deliver.
- The article frames identity as a product because it now spans security, user experience, commercial value, and lifecycle complexity.
- Practitioners should respond by tightening ownership, rethinking metrics, and aligning governance to service outcomes rather than request volume.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, NIST SP 800-63 and NIST SP 800-53 Rev 5 set the technical controls, while GDPR defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 — Organizational Context | The article reframes identity work around business outcomes and stakeholder expectations. |
| ID.AM-02 — Software, Hardware, Data, and Services Are Inventoried | Product ownership requires knowing the identity service surface and its users. | |
| Recommendation — Define identity services in terms of organisational context and business outcomes, not just operational queues. Inventory identity services and ownership boundaries so teams can govern them as managed products. | ||
| NIST SP 800-63 | SP 800-63C — Federation | The digital estate discussion relies on interoperability across identity domains and services. |
| Recommendation — Apply federation principles where identity must work across services, accounts, and delegation contexts. | ||
| NIST SP 800-53 Rev 5 | PM-9 — Risk Management Strategy | The article argues for governance decisions that balance security, usability, and business value. |
| Recommendation — Embed identity product priorities into the organisation’s risk management strategy and service governance. | ||
| GDPR | Art.32 — Security of Processing | The protection and people dimensions touch privacy and the handling of identity-linked personal data. |
| Recommendation — Align identity service design with security of processing requirements when personal data is involved. | ||
Key terms
- Identity Ownership: Identity ownership is the assignment of a responsible human for each identity's purpose, access, review, and retirement. For non-human identities, ownership must be explicit because the creator is not always the right person to approve ongoing access. Without ownership, review and revocation become inconsistent and slow.
- Digital Estate Growth: The expansion of cloud services, applications, endpoints, and integrations that an organisation must secure. It matters because growth increases the number of assets, ownership questions, and control paths that security teams must keep current.
- Product Operating Model: A way of organising identity work around user needs, priorities, and measurable outcomes instead of one-off ticket fulfilment. It gives the team clearer ownership of service design, stakeholder value, and trade-offs across security, usability, and business enablement.
- Identity Governance: Identity governance is the set of controls that defines who approves access, who owns it, how it is reviewed, and when it is removed. In practice, it turns identity management from a deployment task into a durable control system that can withstand audits, organisational change, and operational growth.
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Published by the NHIMG editorial team on May 14, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org