Pipefy AI Research
From AI Adoption to Agentic Orchestration: the next stage of Artificial Intelligence in enterprise operations
Based on exclusive Pipefy research, this report explores why AI projects stall after adoption, and how an agentic orchestration layer separates operations that scale from pilots that don't.
➡️ The real state of enterprise AI adoption across 148 companies
➡️ The 4 architectural barriers that stall AI projects after adoption
➡️ PUMA case study: 40-50 accelerated hires/month and 10k+ automated actions
What business and IT leaders will find in the report
📊 Benchmark where your operation stands today
Four operational profiles, from automation silos to fully orchestrated flows. 42.6% still switch between multiple systems and screens to complete a single process, and only 6.6% run end to end.
🤖 Understand why AI Agents stall without orchestration
Gartner projects that over 40% of agentic AI projects will be canceled by the end of 2027. See the root causes, the 32.8% who point to legacy integration as the main barrier, and the 3 moves that separate results from pilot accumulation.
🛡️ Supervised autonomy is the market consensus
57.4% of surveyed companies see humans as orchestrator and validator, and 34.4% delegate only when the rules are auditable. See the conditions US enterprises require to delegate decisions to AI at scale.
Put AI into production with an agentic orchestration layer
🔗 Orchestrate ERPs, CRMs and AI Agents without replacing your systems of record
🛡️ Complete audit trail, role-based permissions and Adaptive Governance
🏅 Pipefy has been named among the Market Shapers by Gartner®