Six public reports, all with sources. Each spells out what it means for you — otherwise intel is just noise.
A report by Deloitte China and HKU. In 2026, enterprises in exploration/pilot fell from 36.7% to 24.9%, while those in production rose from 56.0% to 64.4%. Yet 48.5% say returns are below expectations, and 44.4% cannot measure returns at all.
At the Apsara Conference, Kingdee pointed to three barriers to scaling enterprise AI: the engineering gap between PoC and scale, capability depreciation from rapid model iteration, and tacit knowledge lost to staff turnover.
SAP notes agent adoption is outpacing data readiness, and recommends architecture that provides trusted context at the decision point and governs agent actions.
Form3 launched an AI-ready payments platform, initially via an MCP adapter with a read-only agent interface that bars AI agents from initiating or changing payments.
Drawing on 107 cases, Gartner says the biggest opportunity is specialisation, and predicts over 40% of projects may be cancelled by end-2027 over cost, unclear value or weak risk controls.
Raytron used AI for test-report generation, cutting 2–4 hours of processing and writing down to ~30 minutes, with engineers only doing the professional review.
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