Gartner® Research Report

Gartner’s Top Strategic Technology Trends for 2027: AI Context Platforms

AI context platforms unify enterprise knowledge into governed, machine-readable context to support trustworthy agentic AI. These platforms collect, organize, and govern fragmented knowledge, empower autonomous agents, and drive agentic AI trust and efficiency.

Gartner states

“AI context platforms empower AI Agents with the knowledge required for consistently reliable, cost-efficient, and contextually relevant decision making.”

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Gartner, Gartner’s Top Strategic Technology Trends for 2027: AI Context Platforms, Andrés García-Rodeja, Afraz Jaffri, Kjell Carlsson, Christopher Long, Radu Miclaus, Rita Sallam, Gene Alvarez, 16 October 2026

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Inside the Report · Figure 1

The Context Layer Brings Together Semantics, Operational State, and Provenance.

Gartner Figure 1, The 3 Components of the Context Layer: a Venn diagram of three circles. Semantics (ontology and knowledge graph, metrics, rules, ownership, policies), operational state (entities, environment conditions, right-time data, organizational knowledge from RAG) and provenance (tracking of data, processes, decisions, actions, outcomes). Where they overlap: execution, governance and behavior, with the context layer at the center.
Figure 1: The 3 Components of the Context Layer. Source: Gartner (855977). Open Full Size (opens in a new tab)

Business Value and Use Cases

Gartner states

“As organizations transition from simple chat assistants to automated agentic operations, a structured semantic model supports three distinct classes of value:”

Strategic execution.

“Empower AI agents to evaluate complex business scenarios and make autonomous decisions that align with organizational policies, objectives, and state.”

Process automation.

“Automate high-volume, multistep workflows such as customer onboarding, claims processing, or IT incident management, while improving compliance and operational consistency.”

Contextual decision support.

“Deliver interactive, expert-level guidance and generate precise analytics that enable decision making by leveraging consolidated semantic models and data.”

Source: Gartner, Gartner’s Top Strategic Technology Trends for 2027: AI Context Platforms, 16 October 2026.

Why Squirro

Squirro Gives Enterprise AI Agents Governed, Permissioned Context.

Squirro is a comprehensive platform built for the full enterprise AI journey. It combines vector search and knowledge graph integration with copilot interfaces and contextual knowledge access, so agents work from the same governed knowledge as your teams.

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The Squirro Platform is built on more than a decade of work in the most highly regulated industries, which sets it apart in four ways:

Security and Privacy

Data protection and compliance, with ISO-certified, flexible deployment options.

Permission Management

Access and permission controls that hold at enterprise scale.

Accuracy and Quality

Knowledge graphs keep answers precise and traceable to their sources.

Scalability

Proven for 10,000+ users and terabytes of data.

Customer Story · Bühler

See How Bühler Uses Squirro to Give Its Teams and Agents Trusted Enterprise Context.

Hear from Bühler how they put Squirro into production across their organization.

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Jessica Stucki and Markus Suter of Bühler, with the line From one agent to three

“We were not starting from zero. With each and every use case, it gets more efficient and faster.”

Markus SuterHead of AI Business Excellence, Bühler Group

Next Step

See How Squirro Builds the Context Layer for Your Agents.

Schedule a personalized demo and see how Squirro can ground your organization’s AI in governed, permissioned enterprise knowledge.