Introduction

Generative AI (gen AI) offers immense potential for organizations to enhance productivity and overall performance. According to the 2024 State of Business Communication, early adopters are already reaping significant benefits, including maximizing revenue, reducing operational costs, boosting employee productivity, and improving the customer experience. However, with these opportunities come new challenges—ranging from data security and privacy risks to concerns about bias, hallucinations, toxicity, and copyright issues.

These risks have left many enterprise leaders questioning whether adopting gen AI is right for their organizations, but the decision to delay adoption is becoming increasingly unrealistic. A 2023 Forrester Consulting study found that 80% of employees using gen AI for writing tasks reported that their companies had not officially implemented the technology. This unsecured, unregulated use of AI puts brands at risk, leaving business leaders with a pressing challenge: how to adopt generative AI tools securely and quickly without compromising trust or security.

For over 15 years, Grammarly has provided AI-powered writing assistance, with a steadfast commitment to security, privacy, and responsible AI. Leveraging cutting-edge technology to solve user challenges has always been central to our mission, and generative AI is no exception. In late 2022, Grammarly began the careful selection process of a large language model (LLM) partner for its generative AI features. After rigorous evaluations of several suppliers, factoring in security, privacy, and quality standards, we chose Azure OpenAI Service to pair with our proprietary AI and ML models.

Today, generative AI is deeply integrated into Grammarly’s product and internal operations. Drawing from our experience as both users and providers of gen AI, we are excited to share our expertise through our “Framework for Safe Generative AI Adoption”. We hope our insights help IT leaders make informed, secure decisions when selecting and implementing the most suitable gen AI tools for their organizations.

Related guide: The Responsible AI Advantage: Guidelines for Ethical Innovation | Grammarly

The Framework for Safe Generative AI Adoption

• Selection
  • Privacy by Design
  • Enterprise-Grade Security
  • User Data Ownership
  • Safety and Fairness
  • Legal and Regulatory
• Close
  • Contractual
• Implementation
  • Usage Policy
  • Development Policy
  • AI-Aware Security Program

1. Selection

The adoption of generative AI has been nothing short of extraordinary. In early 2023, GPT’s user base reached one million in just a fraction of the time it took platforms like Instagram to achieve the same milestone. Alongside this rapid growth, there has been an explosion of generative AI providers and products, with new offerings emerging daily. With so many options available, how can one identify and select a reliable, trustworthy provider?

At Grammarly, our approach to finding a provider that met the high standards necessary to fulfill our promises to users focused on five key criteria: (1) privacy by design, (2) enterprise-grade security, (3) user control over data, (4) safety and fairness integrated into the product, and (5) adherence to legal and regulatory requirements.

User trust and safety were at the heart of each decision-making factor. By prioritizing your end-users and ensuring their protection, you can quickly narrow down the overwhelming number of choices in the market. With many new players lacking the necessary maturity to deliver a secure generative AI experience, we made it our mission to partner with a provider that aligned with these core values. Here’s how you can follow a similar path to make the right decision.

Unlock the full potential of generative AI in your enterprise with expert insights. Continue reading to discover Grammarly’s comprehensive framework for safe and effective AI adoption, and download the guide to equip your team with the tools to innovate securely.

• Introduction
• The Framework for Safe Generative AI Adoption
• 1. Selection
  • Selection: Privacy by Design
  • Selection: Enterprise-Grade Security
  • Selection: User Data Ownership
  • Selection: Safety and Fairness
  • Selection: Legal and Regulatory
• 2. Close
  • Close: Contractual
• 3. Implementation
  • Implementation: Usage Policy
  • Implementation: Development Policy
  • Implementation: AI-Aware Security Program
• Conclusion

Number of Pages:

• 17 pages

Pricing: 

• Free