LangGrant launches open standard effort for enterprise AI reasoning

LangGrant unveiled the Enterprise Reasoning Initiative, an open-source standard effort backed by 12 companies to make human judgment, policy, evidence and approvals part of enterprise AI reasoning. The project aims to improve safety, transparency and reuse as companies deploy more autonomous AI systems.

Why it matters: - Enterprise AI is moving toward more autonomous decisions, which raises the stakes for safety, auditability and control. - The Enterprise Reasoning Initiative aims to make human expertise part of the reasoning process itself, not just a review step after AI produces an answer. - The effort could give vendors and enterprises a shared way to preserve, reuse and inspect reasoning across tools and AI models.

What happened: - LangGrant, formerly known as Windocks, announced the Enterprise Reasoning Initiative on Sept. 29, 2026. - The project is a fully open-source effort backed by a dozen companies across the AI ecosystem. - LangGrant framed the initiative as an open interoperability standard for enterprise reasoning that can be used by vendors, enterprises and developers. - The initiative is designed to keep human judgment, enterprise policies, evidence and approvals inside the reasoning that leads to consequential actions.

The details: - The initiative focuses on four core problems: safety, transparency, availability and reusability. - Safety means human judgment and approvals can shape the reasoning behind decisions before actions are taken. - Transparency means the standard is intended to reduce black-box reasoning and prevent AI systems from recreating new reasoning for every task. - Availability means the standard is open source and intended for broad implementation. - Reusability means reasoning can become a durable object that organizations manage over time. - LangGrant CEO Ramesh Parameswaran said the goal is to make human expertise persist inside organizational intelligence instead of disappearing when a conversation ends. - The proposed standard creates a common representation for reasoning so people, software tools and AI models can collaborate on the same reasoning over time. - Human changes such as adjusting assumptions, applying domain expertise, rejecting an inference, adding a business rule or refining a definition become part of the reasoning itself. - The reasoning is meant to be a durable enterprise artifact containing sources, steps, evidence, human and AI contributions, semantics, policies, versions and approvals. - Users can review, modify, re-execute and reuse that reasoning across different software tools. - Bob Kruger, chief product officer at Almaden AI, said the effort addresses the need for a common foundation as AI systems become more intertwined with enterprise work. - Enterprise Reasoning is meant to standardize the representation of reasoning, not the way AI models reason or the way applications implement AI. - The initial scope includes structured reasoning, human judgment throughout the process, reasoning lifecycle management, reasoning across multiple enterprise information sources, evolving semantic intelligence and attribution of reasoning and decisions to business outcomes. - The project treats reasoning as a first-class enterprise artifact, similar to source code, documents or datasets, rather than disposable AI output. - The initiative is intended to complement Model Context Protocol, which addresses tool and context access, and Agent2Agent, which addresses communication between agents. - Enterprise Reasoning is positioned as the layer that preserves and improves reasoning shared among people, enterprise software and AI models. - The initiative says a common data format is not enough and that interoperability also requires a shared information model so systems understand the meaning of reasoning artifacts.

Between the lines: - The effort reflects a broader industry push to make AI systems more governable as they take on higher-value enterprise tasks. - By focusing on shared reasoning instead of a new model, the group is betting that standards can improve trust and reuse without forcing vendors onto a single AI stack. - The involvement of veterans who helped shape prior Microsoft standards suggests the group is trying to build credibility around interoperability, not just product messaging.

What's next: - The initiative is seeking more participation from enterprise software vendors, AI companies, enterprise architects, executives with domain expertise, researchers and standards organizations. - Participants will help develop and review the Enterprise Reasoning information model, reference implementations, interoperability testing, domain semantics and the standard’s evolution. - A white paper and initial standards work plan are available at EnterpriseReasoning.org. - Interested parties can also contact the initiative at contact@enterprisereasoning.org.

The bottom line: - LangGrant is trying to turn enterprise AI reasoning into a shared, auditable and reusable asset before autonomous AI becomes the default way businesses make decisions.