How to enhance your business strategy with Content + AI
With the power of Content + AI combined, you can use artificial intelligence (AI) technologies to create, optimize, manage, and analyze different types of digital content. This includes taking advantage of AI to automate and enhance every stage of your content lifecycle, from drafting a meeting agenda to retrieving a report within storage.
By powering up workflows with Content + AI tools, you enhance your business strategy and get more value from data.
Key highlights:
- Content + AI is a shift in the way you create, manage, and use content, automating workflows and unlocking insights from data sources
- AI-generated content supports businesses across industries, speeding up decision-making and saving time spent on content-related tasks
- A structured strategy, along with AI content tools, helps scale content initiatives while maintaining data integrity and security
- With Box, businesses can securely produce, refine, and retrieve content using advanced AI models, empowering you to make the most of your information
Understanding the role of Content + AI in your business strategy
IDC’s Worldwide IT Industry 2025 Predictions estimates that, by 2026, 75% of G1000 organizations will adopt AI-powered economic models focused on tech costs, productivity, decision-making, and innovation — or risk falling behind on new ROI standards.
As your business information supports every aspect of your operations, integrating AI into data lifecycle management is critical for staying competitive. AI speeds up content creation, enables messaging personalization, and lets you optimize costs, giving you the edge to thrive in a fast-paced market.
Technologies that power Content + AI tools
The power of Content + AI comes from software solutions that streamline content tasks and workflows. For example, some AI-powered tools allow you to create a talk track based on documents, guiding you to stay on topic during customer support calls and sales conversations.
To understand how AI content platforms work, let’s break down the key technologies behind the content AI revolution.
Technology | Definition | Role in Content + AI tools |
Machine learning (ML) | A subset of AI that allows systems to learn from data by identifying patterns like user sentiment, preferences, and keyword associations | ML analyzes data, improves AI-driven content generation over time, and supports AI content discovery with personalized recommendations |
A branch of AI that relies on ML algorithms to understand and generate human language | NLP interprets data and mimics natural communication, powering conversational AI chatbots and sentiment analysis tools | |
AI models trained on extensive datasets that assist with text-based tasks, such as AI content generation | LLMs can write copy, translate messages, and summarize text (along with other tasks) by understanding context and structuring information | |
Text-to-speech (TTS) and speech-to-text (STT) | Technologies that convert written text into voice and spoken language into text | TTS and STT allow you to either convert a text script into a podcast or transcribe an audio message automatically — serving as features in virtual assistants and cloud collaboration tools |
An NLP technique that enhances AI-driven content creation and retrieval by integrating data from knowledge sources | RAG pulls contextual information from your cloud-based data storage, improving access to accurate data and reducing the risk of AI hallucinations |
Discover how to power and safeguard AI innovation with secure RAG models.
Core capabilities of AI content solutions
Implementing AI for content creation means leveraging generative AI (GenAI) models to write copy, create images, and much more. Gartner predicts that 60% of marketing departments will use some form of this technology in 2025, up from less than 10% in 2023. But the possibilities stretch far beyond marketing and content creation.
Let’s look at essential Content + AI capabilities and how they strengthen your enterprise AI strategy across industries and business areas.
Content + AI capability | How it works | Industries that benefit from this AI-powered functionality |
AI content creation | Based on prompts or keywords, AI tools for content creation rely on LLMs to generate text or visual content such as images, videos, and infographics |
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AI content editing | AI content editor tools use NLP to analyze text for grammar, punctuation, and overall readability — suggesting changes and speeding up the content review process |
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AI content solutions extract key information from lengthy documents, preserving critical insights and generating easy-to-read summaries |
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AI content optimization | AI for content personalization and optimization tools analyze data and help teams tailor messages and product recommendations based on individual preferences |
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AI content curation | A content AI tool lets you build and customize cloud workspaces to manage content based on departments or specific projects |
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AI content search and retrieval | Intelligent Content Management systems use RAG to locate and retrieve documents and information faster |
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AI content analysis | AI analyzes structured and unstructured data to assess the content of customer interactions, trend reports, and product reviews, generating insights that drive your business strategies |
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Conversational AI content | A combination of NLP and ML powers AI agents and chatbots — automating customer support interactions and generating real-time answers based on documents |
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Helpful content AI best practices to get started
Despite the widespread adoption of GenAI, many organizations still lack a formal strategy for AI integration. Asana’s State of Work reveals that only 31% of businesses have one in place.
If your goal is to combine content and AI to drive measurable results, follow these best practices.
- Define your Content + AI strategy: Map out your business objectives, such as improving sales conversions or increasing brand awareness. Select goals where AI adds the most value — for example, using content intelligence to maintain message consistency across your marketing channels. Remember to set measurable KPIs to track performance.
- Choose solutions that grow with your business: Look for AI content platforms with flexible cloud storage capacity that integrate with your tech stack. This way, you avoid the hassle of switching systems or paying extra fees as your content volumes expand.
- Build AI-powered workflows: Identify digital workflows to automate, focusing on tasks that are prone to human error or take up significant time. For instance, you can combine AI and content creation by adopting a writing assistant to brainstorm, structure, and proofread copy.
- Ensure responsible AI implementation: Set ethical guidelines for AI use, such as promoting data privacy best practices and being transparent about the source of training data to prevent bias. For example, if your team uses an AI content writer, monitor the output to ensure it aligns with your brand voice and principles.
- Upskill your team: Invest in employee training sessions to help your team master AI-powered content creation and other critical skills. Encourage your team members to discover new uses for AI in content-related tasks and reduce their workload.
- Expand AI use to other areas: If you’re starting your Content + AI strategy, begin with a pilot project and measure its results. Once you’ve mastered AI in one area, explore its potential across other departments. For example, if you’ve successfully used AI in content creation, try it for internal communications by automating meeting summaries or generating HR training materials.
Unlock the power of Content and AI with Box
Your business content is a powerful source of insights and value, but it’s often buried in different systems and tools. With Box, you get advanced AI models to gather intelligence from your organization’s data.
Our Intelligent Content Management platform offers data storage, unlimited e-signatures, collaboration tools, and more — all with enterprise-grade security to protect your sensitive information while meeting compliance requirements.
Plus, you can pull valuable insights from data and make faster decisions with Box AI. Our native capabilities empower you to:
- Create and personalize content to fit your specific needs
- Translate critical documents to any language
- Automate document generation to minimize manual tasks with Box Doc Gen
- Streamline business workflows with AI-powered metadata
- Find documents faster and get instant answers from them with Box Hubs
- Integrate Box with +1,500 applications to create and manage files in one place
Contact us and see how you can harness the full potential of data with Content + AI tools.
**While we maintain our steadfast commitment to offering products and services with best-in-class privacy, security, and compliance, the information provided in this blog post is not intended to constitute legal advice. We strongly encourage prospective and current customers to perform their own due diligence when assessing compliance with applicable laws.