Martech Interview with Meena Ganesh, Senior Product Marketing Manager @ Box AI

How are AI agents significantly impacting content creation workflows today? Meena Ganesh, Senior Product Marketing Manager at Box AI weighs in with her observations in this MarTech interview:

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Hi Meena, tell us about your journey as a product marketing manager through the years, how has this role evolved for you with different experiences?

My journey into product marketing has been deeply influenced by my engineering background and a passion for storytelling. Starting in technical roles, I realized the power of translating complex technologies into narratives that resonate with diverse audiences and I’ve transitioned from focusing solely on product features to emphasizing the value and impact these products have on users.

At Box, this evolution has culminated in leading AI product marketing, where I bridge the gap between cutting-edge technology and tangible business outcomes, ensuring that our innovations align with market needs and drive meaningful change.

There are so many voices in AI and the technology behind it is complicated, so distilling the jargon and deep technical innovations by turning them into easy to understand concepts ultimately help us resonate with our broad audience of users and potential customers. Another key evolution of my role has been listening and connecting with users to understand how they’re using the technology on specific use cases and scaling them so enterprises of all sizes can benefit from it.

Can you briefly share more about Box’s latest product enhancements and how they are differentiators?

As AI agents become increasingly central to business operations, staying ahead of these fast-evolving trends is critical for enterprises. Box recently conducted a State of AI in the Enterprise survey and found that 87% or organizations are using AI agents, which reveals key opportunities for organizations to maximize their impact. At Box, we’re leading the charge by introducing an innovative agentic reasoning framework designed to empower enterprises with smarter, more dynamic AI capabilities. We announced a new dynamic agentic reasoning framework for Box AI during our recent Content + AI Summit. This includes new Search and Deep Research capabilities, as well as new Enhanced Extract Agent to search, synthesize, and take action on unstructured data across Box—enabling everything from quick lookups to finding information across large content corpora, deep research, and structured data extraction.

We also announced the Box AI Agent for Microsoft 365 Copilot, bringing secure, context-aware insights from Box directly into tools like Teams, Word, and PowerPoint. Users can now quickly query renewal dates, analyze documents for risks, or cross-reference internal guidelines—all from within Microsoft Copilot, streamlining tasks that previously took hours into minutes.

Box has also been working closely with partners to deliver interoperable products to customers. OpenAI just announced enhancements to its deep research feature, adding a new Box connector that is available in both chat and deep research. This integration (currently in beta) allows ChatGPT Plus, Pro, Teams, and soon Enterprise users to securely search their Box content without leaving ChatGPT. Additionally, Box was announced as a launch partner for Snowflake Openflow, an integration that allows developers and data engineers to connect unstructured content in Box.

Consistent throughout all of our recent announcements, particularly in the AI space, is our ability to deliver this intelligence with enterprise-grade security, governance, and zero data movement. Our State of AI in the Enterprise survey also found that 74% of enterprises list data and privacy as a top concern when implementing AI and 73% note data security and compliance as the top consideration when evaluating AI platforms. This is at the core of what Box provides to its customers. Enabling powerful AI, grounded in users own content, with full compliance.

For marketers moving more towards AI based content creation, what best practices would you share?

For marketers embracing AI, strategic integration is key:

1. Implement Secure RAG: Ensure AI generates content only from approved, permission-governed internal knowledge within platforms like Box. This prevents hallucinations and data exposure by ensuring actions are consistently grounded in an organization’s single source of truth.
2. Define Clear Guardrails & Brand Voice: Establish strict guidelines for AI output. Human oversight is essential for accuracy, tone, and brand consistency.
3. Focus on Augmentation: Using AI to accelerate repetitive tasks – drafting, brainstorming, repurposing – frees up humans for the strategic thinking and creative storytelling aspects of marketing rather than wasting time on routine tasks.
4. Iterate & Measure: Continuously evaluate AI content performance to refine prompts and workflows, ensuring tangible marketing outcomes.

It’s easy to get caught up in content velocity, but quality and compliance matter more than ever. Marketers should ensure their AI tools can reason over approved assets, brand guidelines, and messaging frameworks. At Box, we’re helping teams build AI agents that don’t just generate content—they understand your brand, your audience, and your regulatory constraints.

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What compliance and security matters should marketers and business heads pay more attention to when it comes to document and content management today?

Our State of AI in the Enterprise report found that only 24% of enterprises have established governance frameworks with consistent policies across their AI initiative, but content security can’t be an afterthought—especially with the rise of AI and external collaboration. Marketers are handling everything from customer data to regulated disclosures, and often using third-party tools that sit outside IT’s purview.

Marketers should prioritize platforms with built-in data loss prevention, access controls, and auditability so marketers have the freedom to move fast, while ensuring the right guardrails are always in place. That balance is critical in today’s risk-aware environment. Marketers and business heads must emphasize:

1. Data Governance & Secure RAG: Ensuring AI models access and generate content only from authorized enterprise data, with robust permissions and audit trails to prevent data leakage and ensure compliance.
2. Evolving AI Regulations: Staying abreast of new AI governance and data privacy laws (e.g., EU AI Act, GDPR, CCPA) and ensuring platforms provide necessary controls.
3. Content Lifecycle Management with AI: Implementing intelligent retention, legal hold, and deletion policies, with AI assisting in classification and identification.
4. Third-Party AI Tool Vetting: Meticulously vetting all third-party AI solutions for security, data handling, and compliance alignment.
5. Insider Threat Mitigation: Robust access controls, granular permissions, and activity monitoring to prevent unauthorized access or accidental exposure of sensitive content.

Can you share a few thoughts on the future of content and AI?

The future of content and AI is deeply transformative, marked by the rise of agentic intelligence that proactively drives and optimizes content workflows.

We’re moving from using AI to generate content reactively, to deploying AI agents that proactively supports end-to-end content workflows. Think of an AI agent that drafts your campaign brief, routes it for review, checks it against brand tone, and even files it into your CMS—autonomously. As AI becomes more context-aware and enterprise-grade, content will shift from being a manual bottleneck to a self-optimizing system.

We’re moving towards a world where content isn’t just stored; it’s alive, intelligent, and actively working for you. We anticipate the rise of agentic AI for content, with sophisticated AI agents becoming integral to every stage of the content lifecycle – from drafting to optimization – leveraging enterprise-specific data via secure RAG. This will lead to deeper semantic understanding and discovery, where content is understood at a profound level, enabling intelligent search and uncovering hidden insights across vast, unstructured data sets. AI will also drive hyper-personalization and dynamic content, enabling real-time adaptation of experiences to individual users. Finally, AI will enhance automated governance and security, proactively identifying risks and enforcing policies, while serving as a powerful creative co-pilot that augments human creativity, allowing marketers to scale content production and focus on strategic innovation.

Some thoughts on where martech is headed as an ecosystem before we wrap up?

The martech ecosystem is rapidly evolving, driven by the imperative of greater integration, intelligence, and a sharp focus on measurable business outcomes. The martech stack is consolidating—but also getting smarter. We’ll see fewer disconnected point solutions and more platform-based ecosystems that prioritize interoperability, data governance, and real-time intelligence. AI will serve as the connective tissue between tools, driving personalization, performance, and productivity.

The winners in this space will be the platforms that combine trust, usability, and extensibility—and that’s exactly where we’re investing at Box. We’ll see AI embedded across all martech functions with an emphasis on purpose-built AI that delivers specific, measurable results. There will be continued consolidation around content and data platforms, as the ability to unify and activate both content and customer insights becomes paramount for delivering truly personalized experiences.

The future is also about agentic workflows, where intelligent automation drastically reduces manual effort and accelerates campaign cycles. As AI’s power grows, ethical AI and trust will be critical, requiring martech solutions with built-in compliance, secure RAG, and transparent practices. Ultimately, the ecosystem will prioritize interoperability and open platforms that allow seamless integration of best-of-breed tools within a cohesive and flexible environment.

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