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Holding·last review27 May 2026

The 3-year IAM TCO envelope for a 2,000-employee mid-enterprise absorbing the agent-runtime identity class lands at roughly USD 1.5M to USD 3.05M, decomposed across five cost components (license, integration, operations, migration, exit) and three identity classes (human workforce, managed service accounts, agent-runtime); the platform-fee headline (Okta enterprise pricing per okta.com/pricing/) accounts for roughly 25-35% of the envelope, the remainder distributing across federation seam build-out, SCIM provisioning, OIDC/SAML configuration, audit-event format alignment, identity-operations team additions (typically 0.5 to 2.5 FTE), and the periodic-review cadence redesign for sub-hour credentials; three line items reliably unpriced in the year-one budget are the agent-runtime credential issuance integration (USD 100K-250K of first-year engineering recovered as year-two overage), the identity-operations team capacity uplift (USD 100K-200K annual), and the access-review redesign tooling or process work (USD 50K-150K).

Anchored on (a) Okta enterprise pricing reference at okta.com/pricing/ for the Workforce Identity Cloud baseline with Adaptive MFA, Universal Directory, Lifecycle Management, SSO; (b) CyberArk 2024 State of Non-Human Identity Security 45:1 NHI-to-human baseline and projected 80:1 at agent-heavy 2026 deployments; (c) specialist NHI vendor pricing tier observations from 2025-2026 procurement-team interactions (Astrix Security, Apono, Britive, Aembit, Andesite, P0 Security typically adding USD 75K-200K annually at the 2,000-employee scope); (d) integration cost calibrated from federation seam build-out experience across 2,000-employee enterprise deployments (typical USD 200K-400K first year). The line item ranges presented are buying-committee planning bands rather than measured industry averages; published independent (non-vendor-funded) audit data at this granularity is not available, so the model is the procurement-team observation rather than survey output. 60-day review cadence (26 Jul 2026). Trigger conditions: (1) Okta or Microsoft Entra announcing structural pricing-model change (per-user to consumption, bundling change for workforce-plus-NHI tier) materially shifts license envelope and moves toward Partial; (2) specialist NHI vendor achieving workforce-tier integration parity closing AM-176 federation-seam costs reduces integration cost line; (3) NIST AI RMF, ISO 42001, or sector-specific guidance prescribing periodic-review cadence for agent-runtime identities changes operations cost line; (4) CyberArk 2026 State of NHI Security report (anticipated) refreshing 45:1 baseline calibrates class-two cost line. Sibling AM-176 covers Okta-vs-specialist vendor matrix this model is the cost-side companion to; AM-167 covers contract-side procurement clauses; AM-174 covers security-platform TCO sharing asymmetric-cost framing.

Published
27 May 2026
Last reviewed
27 May 2026
Next review
+38d· 26 Jul 2026
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The claim: The 3-year IAM TCO envelope for a 2,000-employee mid-enterprise absorbing the agent-runtime identity class lands at roughly USD 1.5M to USD 3.05M, decomposed across five cost components (license, integration, operations, migration, exit) and three identity classes (human workforce, managed service accounts, agent-runtime); the platform-fee headline (Okta enterprise pricing per okta.com/pricing/) accounts for roughly 25-35% of the envelope, the remainder distributing across federation seam build-out, SCIM provisioning, OIDC/SAML configuration, audit-event format alignment, identity-operations team additions (typically 0.5 to 2.5 FTE), and the periodic-review cadence redesign for sub-hour credentials; three line items reliably unpriced in the year-one budget are the agent-runtime credential issuance integration (USD 100K-250K of first-year engineering recovered as year-two overage), the identity-operations team capacity uplift (USD 100K-200K annual), and the access-review redesign tooling or process work (USD 50K-150K).

About this register

The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.

Recent corrections in Reporting

  • AM-008 · Partial · 17 Jun 2026

    Source-text figure re-review: Google's 2024 Environmental Report reports a 28% year-over-year increase to 8.1 billion gallons, not the 33% (from a 6.1 billion 2023 base) asserted at publish. The 8.1B 2024 figure and the Microsoft WUE 0.30 L/kWh / 39%-improvement figure are unchanged and verified. Article corrected to 28% and the unsupported 6.1B base removed; the claim text retains the original figure with this correction per the Holding-up protocol.

  • AM-132 · Partial · 10 Jun 2026

    One of four legs unanchored on re-review. The claim text attributes '12% of deployments clearing 300%+ ROI with 88% at or below break-even at 12-18 months' to the Stanford DEL 2026 Enterprise AI Playbook. Full-text verification on 10 Jun 2026 found no such figure in that source: the playbook (Pereira, Graylin, Brynjolfsson, Apr 2026) studies 51 successful deployments by design and contains no ROI distribution, no 300%-plus cohort, and no break-even measurement point (full finding at AM-029, correction of 10 Jun 2026). The only verified figure carrying the same 12/88 numerals is IDC research with Lenovo (via CIO.com, Mar 2025): roughly 88% of AI proof-of-concepts never reach production and roughly 12% graduate — a pilot-to-production graduation metric, not an ROI distribution. The Gartner 28%, McKinsey 23%/17%, and MIT NANDA 95% legs verify; they support a small high-performing tail and a large struggling body, but none documents the two-peak bimodal shape the claim asserts. Status Up -> Partial.

  • AM-129 · Partial · 10 Jun 2026

    One of three read-against anchors unanchored on re-review. The claim text cites 'Stanford Digital Economy Lab Enterprise AI Playbook (12/88 bimodal ROI distribution at 12-18 months)' and frames the realistic ROI band around 'the highest-discipline 12% cohort'. Full-text verification on 10 Jun 2026 found the playbook contains no 12/88 distribution, no bimodal ROI shape, and no 12-18-month ROI measurement point (full finding at AM-029, correction of 10 Jun 2026). The claim's core negative finding — no mid-market enterprise has produced a documented +240% ROI in 90 days under audited conditions — is unaffected; the McKinsey State of AI 2025 and MIT NANDA legs verify and continue to support it. The '12% cohort' framing has no verifiable referent. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric. Status Up -> Partial.

Reviews coming up in Reporting

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    AI agents executing financial transactions need a four-control bundle (action-approval gates by blast radius, kill-swit…

  • AM-061 · Holding · next +9d (27 Jun 2026)

    Production agentic-AI costs at scale routinely run multiples of POC projections, and a layered optimisation programme c…

  • AM-003 · Partial · next +9d (27 Jun 2026)

    GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…