Executives should see the current problem, the measured baseline, the proposed change, the three-year total cost, the projected operational benefit, and the assumptions behind each number. They should also see the KPIs that will verify results after implementation. This keeps the discussion grounded in evidence and prevents the business case from becoming a generic security appeal.
What executives should test in the investment case
An IGA investment case should be judged on whether it is solving a real control problem, not whether it sounds strategically important. Executives should expect a clear baseline of the current pain, the proposed operating change, the cost to deliver it, and the business effect that is expected to follow. For identity programmes, that normally means measuring access review effort, joiner-mover-leaver delays, entitlement quality, exception handling, and audit friction before assuming the platform will improve anything.
The strongest cases make the trade-off explicit: what manual work is removed, what governance becomes easier, and what residual risk remains after automation. When IGA is tied to identity sprawl and weak governance, the business case should also show how much of the problem sits in human identities versus service accounts and other non-human identities. The State of Non-Human Identity Security reports that only 1.5 out of 10 organisations are highly confident in securing non-human identities, which is useful context when executives are funding governance for environments that already include machines, services, and automation.
In practice, weak IGA cases fail because they describe a platform purchase instead of a measurable control improvement.
How to judge the numbers behind the proposal
The financial model should be auditable from end to end. Executives need to see the baseline assumptions, the three-year total cost, and the benefit math that converts identity hygiene into operational value. If the proposal claims fewer access violations, faster deprovisioning, or lower audit effort, those claims should be traceable to specific workload assumptions, staffing assumptions, and process changes rather than to generic vendor promises.
- Baseline: current request volume, review cycle times, orphaned access, and exception rates.
- Change: which workflows will be automated, simplified, or removed.
- Cost: licence, implementation, integration, administration, and change-management effort.
- Benefit: time saved, risk reduced, audit effort avoided, and control gaps closed.
- Verification: the KPIs that will confirm whether the promised gain actually appears.
For identity-heavy environments, executives should also ask whether the proposal covers both workforce identities and machine or service identities where those are part of the same access model. The 2024 ESG Report: Managing Non-Human Identities shows that 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, which makes governance scope a board-level issue rather than a back-office hygiene item. These controls tend to break down when the cost model excludes integration work and the benefit model assumes policy compliance will improve without any operational enforcement.
Common ways IGA business cases overstate value
Tighter governance usually increases implementation and change-management overhead, so executives need to balance cleaner access control against the reality of process friction. The most common mistake is to count every policy gap as avoided loss without proving that the new control will actually close it.
Another common failure is over-crediting one platform for benefits that depend on process discipline, data quality, and ownership clarity. If identity data is stale, if application ownership is unclear, or if approvals are still informal, IGA can become a reporting layer on top of unresolved control weakness. In those cases, the proposal should be treated as an operating-model change as much as a technology purchase. That is especially true in mixed environments where access decisions span human users, service identities, and third-party integrations.
Executives should also be wary of benefit claims that are too broad to test. A credible case names the specific KPI, the expected baseline movement, and the review point after go-live. The State of Non-Human Identity Security is useful here because it frames the confidence gap around non-human identity security, which helps leaders avoid treating all identity governance as if the hardest problems were already solved. The proposal becomes much weaker when it cannot explain what will change if adoption stalls in one business unit or if a critical application cannot be integrated.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, CIS Controls v8 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.RM — Risk Management Strategy | IGA investment cases hinge on risk reduction, cost, and control outcomes. |
| ID.IM — Improvements | Executives should assess whether the proposal improves identity-control maturity over time. | |
| PR.AA — Identity Management, Authentication, and Access Control | IGA is fundamentally about access governance and entitlement control. | |
| Recommendation — Tie the proposal to measurable risk-reduction objectives and define how success will be verified. Define baseline metrics and track post-implementation improvement against them. Validate that the programme enforces least privilege and improves access decisions. | ||
| CIS Controls v8 | 6 — Access Control Management | IGA directly governs user access, approvals, reviews, and entitlement hygiene. |
| 5 — Account Management | IGA business cases must account for joiner-mover-leaver and account lifecycle process gains. | |
| Recommendation — Use access-control metrics to prove the programme reduces privilege sprawl and review drift. Measure whether lifecycle automation shortens deprovisioning and reduces orphaned access. | ||
| NIST SP 800-63 | 4 — Identity Proofing and Enrollment | IGA decisions often depend on trustworthy identity records and enrollment quality. |
| Recommendation — Check that identity records are reliable enough to support automated governance decisions. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Secret Sprawl and Credential Exposure | IGA cases in mixed environments must consider machine and service-account governance. |
| Recommendation — Include non-human identity coverage where access governance extends to credentials and secrets. | ||
Practitioner Guidance
What to prioritise: Review the current-state evidence first, then ask whether the proposal materially changes the failure modes that matter most, such as delayed deprovisioning, excessive privilege, weak ownership, and inconsistent access reviews. If the business case cannot show a before-and-after shift in those conditions, it is probably describing aspiration rather than control improvement.
What to verify: Confirm that every benefit line has a measurable basis, a named owner, and a post-implementation KPI. Executives should be able to see how the programme will prove success in 6, 12, and 36 months, not just how it will be launched. If the vendor cannot explain the measurement method without hand-waving, the benefit number should be discounted.
Practitioner takeaway: The best IGA investment cases do not ask leaders to trust the platform, they ask them to trust the baseline, the assumptions, and the verification plan.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 14, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
