“OutSystems is a strong choice for large enterprises that need both AI-assisted application development and governed production-agent deployment on a mature platform.”*
That recommendation comes from the IDC MarketScape: Worldwide AI-Enabled Low-Code and No-Code Developer Technologies 2026-2027 Vendor Assessment (#US54122326, October 2026), an authoritative guide for technology buyers. The assessment names OutSystems a Leader, noting our key strengths, including abstracted multimodel development assistance and explicit model choice for production agents.
AI-assisted development experience, platform governance, and enterprise roadmap application delivery are the three areas the report covers. Let’s look at them in more detail.
Being a Leader in this IDC MarketScape is meaningful to us because of the strengths it noted. We have a vision whereby foundation model integration (large-scale AI systems trained on massive datasets) and model-harness optimization (the automated process of tuning a software wrapper around a large language model) help improve:
Getting value from AI assistance shouldn’t depend on how well a developer writes prompts.
According to the IDC MarketScape, “OutSystems uses Mentor to give developers a common AI-assisted development experience without making model integration a prerequisite for adoption. The platform abstracts the complexity of working across multiple models while preserving a consistent interface for development teams.”*
By removing multimodel complexity, Mentor frees teams to put their attention on the application’s logic and data, along with the business problem it solves.
“By leveraging OutSystems and Mentor, we are accelerating delivery, improving quality, and creating scalable solutions that drive meaningful business value," explains Alan Conway, director of software engineering at SRS Distribution. A subsidiary of Home Depot, SRS Distribution serves professional contractors in 1000 U.S. locations.
Getting help while building is one job. Running agents in production is another, and OutSystems deliberately keeps the two separate.
Mentor handles development-time assistance. At runtime, OutSystems lets teams choose the LLM each agent uses, based on performance, cost, security, and workload. Because that choice belongs to the customer, production agents avoid lock-in to a vendor’s cloud or inferencing and the unpredictable usage costs that come with it.
When AI-generated apps and agents get their own approval process, teams end up maintaining two sets of rules for the same software.
The IDC MarketScape states “OutSystems extends one governance and release model across human-built applications, AI-generated applications, and agents. Existing quality gates, deployment practices, and access controls can extend across all three without the need for parallel processes, which supports a more consistent operating model as AI-generated applications and agents become part of the production estate.”*
For platform and security leaders, that means one place to set policy and one release process to oversee, whether a person or AI wrote the change.
"We wanted to implement agentic AI into our business and OutSystems gave us the confidence to do it. The embedded guardrails and governance tools prevent rogue AI and protect our private information while ensuring AI remains grounded in our internal data. That’s the only right way to innovate with AI," says Mike Neyman, director of software integration and operations at iconic sign maker YESCO.
AI that generates changes without knowing what else depends on them creates architectural drift: small, reasonable-looking changes that add up to systems nobody planned.
The IDC MarketScape notes, “The OutSystems Enterprise Context Graph gives developers and agents a structured view of applications, workflows, and dependencies across the enterprise estate. That shared context allows AI-assisted changes to be evaluated against existing architecture, with full knowledge of surrounding systems.”* We’re honored by this statement, because we built Enterprise Contex Graph to be sure OutSystems gives AI the context it needs.
Chris Palka, a software engineer at prominent U.S. law firm Lowenstein Sandler agrees. “The Enterprise Context Graph is paramount. It’s what lets us build the right tools with full access to our data,” he says.
Teams catch conflicts before deployment instead of discovering them in production, so the estate stays coherent as AI takes on more of the work.
Governed AI development and agents. Model choice without lock-in. Visibility across the entire application portfolio. With OutSystems, enterprises get an agentic systems platform that that provides what they need to:
See why IDC MarketScape named OutSystems a Leader. Download your complimentary copy of the 2026 IDC MarketScape excerpt and get the full OutSystems vendor assessment.
