Blog

Strategy, data and governance for enterprise AI.

Practical articles to move from intent to a pilot with trustworthy data.

Essential guides

Start here: complete guides on Contextfy’s core topics.

Pillar guide Context for AI agents: what it is and why it comes before the model Read the guide → Pillar guide AI governance for companies: how to use agents with control Read the guide → Pillar guide Data for AI: how to prepare the base behind trustworthy agents Read the guide →

Recent articles

LGPDAI

Ensuring LGPD Compliance in AI Solutions

Explore best practices and technological solutions to ensure your AI implementations comply with Brazil's LGPD regulations.

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StrategyAgents

AI for customer service: what changes when the answer has context

Applying AI to support is more than a chatbot on your site. See what separates an automation that frustrates from an agent that resolves, with source, scope and clear rules.

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StrategyData

Document chatbot: how to build a reliable base for corporate use

A document chatbot your company actually uses depends on the base: source of truth, scope, permissions, source citation, and measurement. The step-by-step.

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StrategyManifesto

Before the agents comes the context

The Contextfy manifesto. The race for AI agents reversed the order of things. Before you automate, you have to prepare the foundation: data, context and governance.

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StrategyData

Why AI projects fail before the pilot

Most AI projects don’t fail at the model. They fail earlier: in the data, the context and the governance. Understand the real bottlenecks and how to avoid them.

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DataAgents

What "data ready for AI agents" actually means

Having lots of data is not the same as having data ready for AI. Here are the five criteria that make a base trustworthy enough to feed agents.

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StrategyGovernance

How to know if your company is ready for AI agents

Five dimensions to objectively measure whether your company is ready to use AI agents safely, and what to do at each level.

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DataAgents

How to prepare data for AI agents

Preparing data for AI means organizing sources, defining one source of truth per type of information and making content traceable. Here is the step by step.

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GovernanceAgents

How to reduce hallucination in enterprise agents

AI hallucination drops when the agent works with defined sources, clear scope and sourced answers. See the practices that lower the risk in production.

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