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Holding·last review10 Jun 2026

The 2026 Agentforce-vs-Microsoft-Copilot pricing decision resolves on the structural per-conversation versus per-user-seat pricing-model choice (Agentforce listing publicly at USD 2 per conversation with the 2025 Flex credit alternative; Microsoft 365 Copilot listing at USD 30 per user per month with Copilot Studio at USD 200 per tenant for 25,000 messages plus per-message overage) rather than the headline unit rate; enterprise-scale negotiation typically produces 30-50% per-conversation discount at committed volumes above 100,000 conversations per year on the Salesforce side and 15-25% per-user discount at committed seats above 1,000 on the Microsoft side, with multi-year commitment adding 5-15% per year at the cost of reducing year-one renegotiation leverage; three year-two renewal surprises (usage divergence from forecast, vendor pricing-model migration, bundle deconstruction) reliably surface against customers who priced only the order-form headline at signing.

Re-review 10 Jun 2026: the three public price anchors re-verified. Agentforce $2/conversation still listed alongside the Flex Credits model (now $500 per 100,000 credits; standard action 20 credits = $0.10, voice 30 credits = $0.15; Flex recommended for most new deployments while Conversations remains supported — short of trigger 1's consolidation threshold). M365 Copilot enterprise list $30/user/month current per Microsoft's enterprise pricing page; note Microsoft now also sells an SMB 'Microsoft 365 Copilot Business' SKU at $18/user/mo promotional through 30 Jun 2026 ($21 after) on the /business/ page this note previously cited for the $30 figure — the enterprise pricing page is the correct anchor going forward. Copilot Studio $200/tenant for 25,000 confirmed; Microsoft renamed the unit from messages to Copilot Credits effective 1 Sep 2025 (the claim's own 'vendor pricing-model migration' renewal-surprise pattern, observed in the wild). Structural per-conversation vs per-user-seat framing intact; no trigger threshold crossed. Anchored on (a) Salesforce Agentforce public pricing page at salesforce.com/agentforce/pricing/ (September 2024 launch at USD 2/conversation, 2025 Agentforce Flex credit alternative); (b) Microsoft Copilot family pricing pages: microsoft.com/en-us/microsoft-365/copilot/business/ for M365 Copilot at USD 30/user/month, microsoft.com/en-us/microsoft-copilot/microsoft-copilot-studio for Copilot Studio at USD 200/month per tenant for 25K messages; (c) enterprise-procurement-team observation of EA negotiation outcomes in 2025-2026 (30-50% Agentforce conversation discount at >100K committed conversations annually, 15-25% Microsoft 365 Copilot seat discount at >1,000 committed seats, 5-15% per year multi-year discount). The enterprise-scale-negotiation pattern ranges are procurement-team observation rather than published vendor disclosure; the specific dollar discounts vary with customer size, negotiation leverage, and competitive procurement dynamics. 30-day review cadence (26 Jun 2026) — shorter than the standard 60 because vendor pricing pages shift quarterly or faster in this category. Trigger conditions: (1) Salesforce or Microsoft announcing structural pricing-model change (per-conversation to credit-based consolidation, per-user-seat to consumption-based) materially shifts structural-decision framing and moves toward Partial; (2) publicly disclosed unit rates changing by more than 20% requires refresh of specific dollar figures; (3) new entrant in agentic AI procurement category reaching pricing transparency (Google Vertex AI Agent Builder, OpenAI Agent Builder, Anthropic Claude at enterprise tier) warrants expanding comparison; (4) published independent enterprise-procurement-data study (Gartner contract benchmarking, IDC pricing survey) on actual realised pricing at 2,000-employee scale would harden or weaken negotiation-pattern claims. Sibling AM-175 covers platform-level comparison the pricing decision sits inside; /compare/microsoft-copilot-vs-salesforce-agentforce/ covers feature-level comparison.

Published
27 May 2026
Last reviewed
10 Jun 2026
Next review
+22d· 10 Jul 2026
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The claim: The 2026 Agentforce-vs-Microsoft-Copilot pricing decision resolves on the structural per-conversation versus per-user-seat pricing-model choice (Agentforce listing publicly at USD 2 per conversation with the 2025 Flex credit alternative; Microsoft 365 Copilot listing at USD 30 per user per month with Copilot Studio at USD 200 per tenant for 25,000 messages plus per-message overage) rather than the headline unit rate; enterprise-scale negotiation typically produces 30-50% per-conversation discount at committed volumes above 100,000 conversations per year on the Salesforce side and 15-25% per-user discount at committed seats above 1,000 on the Microsoft side, with multi-year commitment adding 5-15% per year at the cost of reducing year-one renegotiation leverage; three year-two renewal surprises (usage divergence from forecast, vendor pricing-model migration, bundle deconstruction) reliably surface against customers who priced only the order-form headline at signing.

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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    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…