What makes this different from using ChatGPT directly?
Applied generative AI is about production systems, not just prompts. That includes grounding, workflow design, permissions, review steps, and business-specific outputs.
Overview
What is Applied Generative AI?
Put your company knowledge to work. Build assistants that retrieve sources, summarise documents and prepare drafts for your team to review. Typical uses: Knowledge Assistants, Content Operations and Research & Summaries.
checklist
6 capabilities
Ways to support your workflow
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3 use cases
Examples to explore with your team
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5 integration options
Including OpenAI and Anthropic
Commercial outcomes
What this usually improves
Faster answers
Knowledge access
Lower turnaround
Content ops
Less repetitive work
Team capacity
Capabilities
Key capabilities
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Custom Model Fine-tuning
Train and fine-tune LLMs on your proprietary data. Domain-specific models that understand your industry terminology, processes, and requirements.
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Content Generation Systems
Automated content creation at scale. Generate marketing copy, product descriptions, reports, and documentation while maintaining brand voice.
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RAG Knowledge Bases
Retrieval-Augmented Generation systems that combine LLMs with your internal knowledge. Accurate, sourced answers from your documents and data.
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Code Generation Tools
AI-powered development assistants tailored to your codebase. Automated code generation, documentation, and intelligent refactoring suggestions.
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Document Intelligence
Extract insights from unstructured documents. Automated summarization, entity extraction, and intelligent document classification.
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Multimodal AI
Combine text, images, and audio understanding. Vision-language models for complex tasks requiring multiple input types.
Applications
Use cases
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Knowledge Assistants
Turn internal documents and policy libraries into grounded assistants for support, operations, and sales teams.
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Content Operations
Create controlled workflows for drafting, reviewing, and repurposing content without losing brand consistency.
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Research & Summaries
Turn lengthy documents, meetings and discovery notes into summaries your team can review and use.
Integrations
Common system touchpoints
OpenAIAnthropicPineconeSupabaseGoogle Drive
Frequently asked questions
Can you work with our private data securely?
Yes. We scope retrieval and storage carefully, and we can design private or constrained architectures depending on the sensitivity of the material.
Where do companies usually get the most value first?
Knowledge search, summarization, support enablement, internal copilots, and controlled content workflows are common high-return starting points.