Fine-tuning of AI models
We fine-tune AI agents with your company’s product logic and business rules so they act as business-specific assistants that mirror your processes, save resources, and deliver consistent results. From extracting key details in documents to generating summaries in your company’s style, our tailored AI solutions integrate seamlessly into workflows without heavy infrastructure.
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6/16/20251 min read
We fine-tuned AI agents that learn from your company’s product logic and business rules. Fine-tuning means adapting an AI model with your own data so it understands your specific rules and style. It is especially useful when businesses want to save computing power by using lightweight AI models with fewer resources, or when the AI needs to perform tasks in a very specific way adapted to the company’s needs. For example, fine-tuning could make an agent better at producing executive-style summaries for reports, extracting contract clauses such as pricing or delivery terms, or recommending accessories that always match a core product.
These adjustments turn AI into a business-specific assistant that mirrors company processes. This brings real value: the AI reflects company expertise, provides consistent results aligned with business logic, and reduces the need for manual intervention.
Case Example: AI Agents for Text Analysis and Categorization
Input documents
Internal reports, contracts, or notes are provided to the AI agent.Information extraction
The agent pulls out key details, such as names, dates, product references, or business-critical data.Categorization
The text is sorted according to your company’s own taxonomies and structures.Summarization
Clear summaries are generated in the company’s own style and tone, ensuring consistency.
This allows AI to be used in real business workflows without requiring heavy infrastructure – making the solution fast, smart, and tailored to your needs.