Cody

Use Case 1: Automated Employee Onboarding and Policy Support

Problem: Human Resources departments are often overwhelmed by repetitive questions from new hires regarding company policies, holiday calendars, insurance benefits, and office procedures. Sifting through hundreds of pages of employee handbooks is time-consuming for both the employee and the HR team.

Solution: By uploading the company's internal PDFs, PowerPoints, and handbook URLs into Cody, businesses can create a dedicated HR AI Bot. This assistant provides instant, sourced answers to employee queries, ensuring everyone has access to the same "source of truth" without manual HR intervention.

Example: A new hire asks Cody on Slack, "What is the policy for remote work stipends?" Cody searches the uploaded "Benefits_2024.pdf," provides the exact dollar amount allowed, and cites the page number from the document for the employee to verify.

Use Case 2: 24/7 Technical Documentation and API Support

Problem: For SaaS companies and developers, users often struggle to navigate complex technical documentation. This leads to a high volume of support tickets for simple "how-to" questions that are already answered in the manual but are difficult to find via traditional keyword search.

Solution: Developers can use Cody to crawl their entire documentation website or upload technical manuals to create an IT Support Chatbot. Because Cody understands context and can provide code snippets or step-by-step troubleshooting, it acts as a first-line support agent.

Example: A user asks an embedded Cody widget, "How do I rotate my API keys using the Python SDK?" Cody analyzes the crawled documentation and provides the specific code block and the terminal commands required, citing the "Authentication" section of the docs.

Use Case 3: On-Brand Marketing and Content Generation

Problem: Content creators and marketers often struggle to maintain a consistent brand voice when drafting new materials. Generic AI tools like standard ChatGPT may produce content that feels "off-brand" or ignores the specific history of a company's past successful campaigns.

Solution: Marketers can train a "Creative AI Assistant" specifically on their brand guidelines, past successful blog posts, and whitepapers. Using the "Focus Mode," the bot can be restricted to only use existing brand assets to ensure the tone and factual information remain consistent.

Example: A marketer uploads the last 10 press releases and the company style guide. They ask Cody to "Draft a LinkedIn post announcing our new product launch in the same tone as our March announcement." Cody generates a draft that uses the company's preferred terminology and specific formatting style.

Use Case 4: Sales Intelligence and RFP Response Acceleration

Problem: Sales teams often spend hours searching through old proposals, case studies, and pricing sheets to answer "Request for Proposal" (RFP) questions or to prepare for a prospect meeting.

Solution: By building a Sales Bot Assistant trained on all past winning proposals, case studies, and product specification sheets, sales reps can instantly retrieve specific proof points or data to win deals.

Example: During a live sales call, a prospect asks, "Have you ever worked with a retail client in Europe?" The sales rep asks Cody, "Find a case study for a European retail client and summarize the ROI." Cody instantly pulls the relevant case study from the database and highlights that the client saw a 15% increase in efficiency.

Use Case 5: Multilingual Customer Troubleshooting

Problem: Global businesses face the challenge of providing support in multiple languages. Maintaining a knowledge base and support staff for 10+ languages is expensive and leads to inconsistent information across different regions.

Solution: Since Cody is naturally multilingual and trained on a central knowledge base, it can act as a Translator Assistant and Support Bot. It can ingest documents in English and provide accurate, context-aware troubleshooting answers in Spanish, French, German, or Japanese.

Example: A German customer asks a technical question in German about a product whose manual is only available in English. Cody searches the English documentation, understands the solution, and responds to the customer in fluent German with the correct technical instructions.