Kinaxis Unlocks AI for Planners with No-Code Agent Studio
- Only about one in five organizations can effectively use AI for real-time decision-making in supply chains.
- Kinaxis's Annual Recurring Revenue (ARR) grew to $407 million, a 17% year-over-year increase.
- Early adopters report hours of manual work reduced with Kinaxis's AI agents.
Experts view Kinaxis's no-code Agent Studio as a significant step in democratizing AI for supply chain planning, enabling domain experts to create custom AI agents that enhance decision-making and automation.
Kinaxis Aims to Democratize Supply Chain AI with No-Code Agent Studio
OTTAWA, Ontario – February 05, 2026 – Supply chain orchestration leader Kinaxis Inc. today announced the launch of Maestro Agent Studio, a new platform that allows supply chain teams to create their own custom AI agents without writing a single line of code. The move is a significant step in the company's strategy to embed intelligent, adaptive AI directly into the hands of the planners who manage the daily complexities of global logistics and production.
The new studio is an extension of the Kinaxis Maestro® platform and follows the earlier release of pre-built AI agents. By providing a no-code environment, Kinaxis aims to bridge a critical gap in the enterprise AI landscape. While artificial intelligence has been a buzzword for years, industry research shows that only about one in five organizations can effectively use it for real-time decision-making, a crucial capability in today's volatile market.
Maestro Agent Studio is designed to address this challenge directly. It enables supply chain professionals to compose AI agents that are grounded in their unique operational context, using the same data, workflows, and tools they already rely on. This approach promises to make AI more practical and impactful, moving it from a specialized, data-science-led initiative to a tool that any planner can leverage to automate repetitive tasks and gain deeper insights.
Bridging the AI Decision Gap
At the core of the new offering is the concept of user empowerment. Supply chain leaders often face dynamic situations where not every action can be scripted or handled by simple, rule-based automation. These scenarios require reasoning and judgment to adapt to changing conditions. Maestro Agent Studio equips AI agents with this reasoning ability by integrating with leading large language models (LLMs) such as OpenAI's GPT and Google Gemini.
Crucially, Kinaxis emphasizes that this integration occurs within a secure and governed framework. “AI creates real value in supply chains when people can shape how decisions are made and keep them aligned as conditions change,” said Andrew Bell, Chief Product Officer at Kinaxis, in the company's announcement. “With Maestro Agent Studio, we’re giving customers the freedom to create their own agents, so AI works the way their supply chain does.”
This ensures that while the agents can leverage the power of advanced LLMs, their behavior remains anchored in the Maestro platform's trusted data and business logic. This controlled environment is designed to give organizations the confidence to deploy AI for high-stakes decisions, providing human-in-the-loop oversight to maintain trust and control.
For example, organizations are already configuring agents to analyze forecast quality across different business units, identify opportunities for incremental orders, and recommend better forecasting methods. Another common use case involves an agent that analyzes demand delays, assesses the downstream impact on production and distribution, and proactively suggests mitigation strategies to planners.
A New Front in the Supply Chain Tech Race
The launch of Maestro Agent Studio places Kinaxis at the forefront of a major industry trend: the shift toward agentic AI. The entire supply chain software market is racing to incorporate intelligent agents, with major players like SAP announcing their own roadmaps for agentic systems. These digital assistants are seen as the next evolution of enterprise software, capable of coordinating complex workflows and adapting to events in real time.
“Adding agents to mature enterprise software can significantly expand what those systems are able to do,” noted Robert Kugel, Executive Director at ISG Research. “This is especially valuable for operational use cases that require orchestration across people, processes, and complex data. In supply chains, where organizations must balance planning, execution, and day-to-day decisions, agent-based approaches can help teams act with greater consistency and confidence.”
While the competition is fierce, Kinaxis's key differentiator appears to be its focus on no-code composability. By democratizing the creation of agents, the company is betting that the deepest insights and most effective automations will come from the domain experts on the front lines, not just from centralized IT or data science teams. Early adopters of the company's foundational Maestro Agents have already reported significant benefits, with some describing the technology as “game-changing” for its ability to reduce hours of manual work and enable faster, more confident decisions.
From Automation to Agentic Orchestration
This new product is a cornerstone of Kinaxis's long-term vision for “agentic orchestration.” The company plans to move beyond individual agents to create a coordinated, interoperable system of agents that can manage complex, end-to-end supply chain processes.
Looking ahead to 2026, Kinaxis has already outlined its next steps. The roadmap includes the development of “Orchestrator agents” designed to coordinate and sequence the work of multiple agents across different workflows. The company also plans to build secure connections between Maestro Agents and external systems, allowing for a more integrated and context-aware supply chain ecosystem.
This strategic push is underpinned by strong financial performance. Kinaxis, which maintains its status as a “Rule of 40” company for its balance of growth and profitability, has seen its AI capabilities drive significant customer interest and revenue. The company's Annual Recurring Revenue (ARR) grew to $407 million in its most recent quarter, a 17% year-over-year increase. Analysts see the rapid integration of AI and agentic features as a key driver for future growth, product differentiation, and increased market share. With the recent appointment of Razat Gaurav as the new CEO in January, Kinaxis appears poised to accelerate its innovation in this next horizon for supply chain management.
