AI Agents

Pigment has rolled out an upgrade to its AI Agents. According to a LinkedIn post by Alexis Fromaget, Pigment’s Analyst, Modeler and Custom Agents can now pull live external context from the web during conversations and use it inside analyses, recommendations and model builds, with source citations included.

The update matters for Enterprise Planning because AI agents are moving from internal assistants toward context-aware planning collaborators. In supply chain and business planning, this can help teams connect internal models with external signals, market information, assumptions and supporting evidence.

For Supply Chain Planning, the relevant signal is not only faster analysis. It is whether external context can be used safely inside governed planning workflows, with traceability, source visibility and clear boundaries between recommendation, validation and execution.

SAP is positioning Joule Agents and Joule Assistants as context-aware AI capabilities for Supply Chain Management. The company describes these assistants as tools designed to understand business context and accelerate outcomes across logistics, manufacturing, product design, planning, and asset service workflows.

The SAP page highlights several supply chain-focused capabilities, including Logistics Assistant, Manufacturing Assistant, Product Design Assistant, Planning Assistant, and Asset & Service Assistant. This reflects SAP’s broader move to embed AI Agents directly into enterprise workflows rather than treating AI as a separate productivity layer.

More details are available on the official SAP page.

Colibri S&OP is positioning AI Agents inside supply chain planning workflows covering demand planning, supply planning, strategic planning, safety stock optimization and constrained plan optimization.

This is relevant for mid-market and local planning teams because it shows how agentic planning ideas are moving beyond global mega-suites. The practical question is how S&OP teams use agents to accelerate scenarios and exceptions while keeping human ownership of planning decisions.

More details are available on the Colibri S&OP website.

Anthropic has released “The Founder’s Playbook,” a comprehensive guide explaining how startups can build and operate as AI-native organizations from day one. The document provides a broader view of how Generative AI and AI Agents may reshape organizational design, decision-making, and execution.

The playbook argues that AI significantly reduces the cost of experimentation and enables smaller teams to perform work that previously required larger functions. It presents AI as a research analyst, product manager, software engineer, and operational assistant working alongside human teams, while emphasizing governance, validation, and accountability.

More details are available in the official source document.

KBRW shared that it presented how AI Agents are already creating value for large-scale supply chain operations during the Sagard NewGen 2026 Annual AGM. The signal is relevant because Sagard Europe described KBRW’s presentation as an illustration of the agentic AI shift for SaaS customers, including a deployment for a CAC 40 client. More details are available in the LinkedIn post.

For supply chain leaders, the practical relevance is the move from visibility and dashboards toward operational agents that can support exception handling, orchestration and guided action. In KBRW’s domain, this connects Order Management, Fulfillment Orchestration and Smart Steering.

Infios has announced new AI agents embedded into supply chain execution workflows. The agents are designed to operate across orders, warehouses and transportation, supporting orchestration inside operational processes rather than sitting outside them as standalone advisory tools.

The announcement is relevant for Supply Chain Execution because it moves agentic AI closer to real operational workflows: order orchestration, warehouse issue resolution, transportation updates and exception handling. Infios positions the agents as part of its broader execution stack across OMS, WMS and TMS environments.

For logistics and operations teams, the signal is that Agentic AI is moving beyond planning and analysis into time-sensitive execution decisions. This raises practical questions around autonomy, supervision, exception thresholds and how AI-driven actions are recorded inside operational systems.

Infor announced an expansion of Industry AI with more than 100 agents and Agentic Orchestrator enhancements. For supply chain teams, the signal is that industry-specific enterprise applications are moving toward agentic workflows embedded inside operational processes.

For Infor Supply Chain Planning, the relevance is how AI agents could support demand planning, demand sensing, inventory and supply workflows using industry context. The governance issue is ensuring agents operate within approved planning rules and Human-in-the-Loop controls.

Oracle Fusion Cloud SCM announced AI agents embedded in Oracle Fusion Cloud Applications to help supply chain professionals reduce manual work, act faster and strengthen resilience. The announcement is relevant because agentic capabilities are moving closer to transaction-level supply chain workflows.

For Supply Chain Planning, procurement, manufacturing and logistics teams, the practical issue is not only automation speed. It is whether AI agents operate within clear approval thresholds, audit logs and Human-in-the-Loop controls.

Daybreak AI raised $15 million in Series A funding from investors including TPG Growth and Dell Technologies Capital, positioning itself around AI labor for enterprise planning.

The announcement is relevant because Daybreak’s agentic framing targets repeatable planning work, policy-based automation and exception routing back to humans. This connects AI Agents, Supply Chain Planning and human-in-the-loop governance.

More details are available in the funding announcement.