ARTICLE SUMMARY
Pipefy has been named among the Market Shapers in the Gartner® "Emerging Market Quadrant for No-Code Agent Builders — Startup Vendors." We believe the recognition underscores Pipefy's role in building AI Agents that run inside governed processes, with audit trails, access control, and Human-in-the-Loop, rather than operating as loose, uncontrolled tasks.
Pipefy has been named one of the Market Shapers in the Gartner® report “Emerging Market Quadrant for No-Code Agent Builders — Startup Vendors.” The recognition comes at a moment when building AI Agents is no longer the main challenge. The bottleneck has shifted: governing how dozens of those agents operate together, at scale, without losing control, visibility, and traceability.
For IT and operations leaders, that distinction is decisive. It separates AI that becomes a reliable engine for outcomes from AI that merely adds another layer of complexity to the operation.
In light of the market shifts mapped in the report, Pipefy reinforces governed execution inside processes as the path to bring AI Agents into production with control, auditability, and scale.
What being named among the Market Shapers in No-Code Agent Builders represents
The Gartner Emerging Market Quadrant for No-Code Agent Builders — Startup Vendors maps an emerging market: the platforms that make it possible to build AI Agents without code.
Being recognized in the Market Shapers category places Pipefy among the companies helping to shape this emerging market. What guides that reading is how the agents operate: inside processes, with audit trails and access control, and not as loose tasks running at the edge of the operation.
Acknowledging that direction, however, raises a practical question: if no-code made building AI Agents simpler, why do so many initiatives still fail to reach scale?
Building AI Agents is easy. Why does scaling them usually stall?
Most teams can already create an AI Agent for a specific task. The difficulty arises when those agents multiply: governing how dozens of them operate together, at scale, is the bottleneck that tends to stall pilots.
Without a process to connect them, each agent operates in isolation. Data becomes fragmented, decisions happen without a reliable record, and there is no visibility into how work flows end to end. That is how the promise of productivity turns into rework and risk.
The cost of this scenario rarely sits in a single system. It builds up in the processes that live between systems: email approvals, parallel spreadsheets, and routines with no clear owner. When an AI Agent enters that environment without governance, it only amplifies the disorganization that was already there.
The implication is clear. The differentiator is not having agents, but coordinating them inside a process that ensures control and traceability.
AI Agents that run inside governed processes
At Pipefy, AI Agents do not operate in isolation. They run inside governed processes, with an audit trail, access control, and Human-in-the-Loop at every step that calls for a decision.
The difference becomes clear when you compare the two ways of operating:
| Dimension | Standalone AI Agent | AI Agent inside a governed process |
|---|---|---|
| Visibility | Isolated execution, hard to track | End-to-end view of the flow |
| Audit | Decisions without a reliable record | Complete audit trail by default |
| Access control | Scattered permissions | Defined policies and access profiles |
| Human-in-the-Loop | Absent or optional | Human approvals at critical points |
| Scale | Each agent is an island | Dozens of agents coordinated on the same track |
A human in the loop is not a brake; it is a trust amplifier. In real operations, that supervision is what keeps AI within the rules of the business as volume grows.
This is the difference between the promise of fully autonomous AI and the process orchestration that sustains a supervised, reliable AI operation. AI Agents gain context, rules, and traceability precisely because they operate inside the process, not at its edge.
What this means for those who need to scale AI with governance
For IT and operations leaders, the path is not only about adopting AI. It is about being able to govern and orchestrate it at scale, with the agility the business demands.
That is the approach the Market Shapers category reflects. Pipefy combines implementation speed with governance from day one: clear processes, an audit trail, and access control, alongside measurable business outcomes.
According to the Forrester Total Economic Impact™ study, organizations that adopt the platform achieve 260% ROI, with payback in under 6 months.
Business users build, IT governs, and AI executes. That is what makes it possible to treat AI as part of the operation, under control, rather than as a separate experiment.
To see how governed AI Agents can operate inside your processes, book a time with a Pipefy specialist today:
Orchestrate and evolve your processes with AI in Pipefy
Disclaimer
“Gartner, Emerging Market Quadrant for No-Code Agent Builders — Startup Vendors, Jason Wong, Kelli Smith, Justin Tung, Keith Guttridge, Eric Goodness, 11 June 2026.
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