Generative AI development services
Generative AI development company for useful production workflows
Fly Technovation designs generative AI capabilities around a defined business workflow, representative data and measurable quality. We begin with the operational problem before selecting a model or agent framework.
Choose a use case that can be evaluated
A credible generative AI project defines the user, source information, expected output, cost of error and when the system must defer to a person.
- Internal knowledge assistants
- Document and data extraction
- Customer-support assistance
- Content and workflow acceleration
- Decision-support interfaces
Retrieval-augmented generation applications
RAG connects an AI response to approved business knowledge. Useful delivery requires document quality, permissions, retrieval evaluation, citations and a process for keeping sources current.
AI agent development
An AI agent should receive limited tools, permissions and objectives. We design explicit approval points, execution limits, logs and recovery paths before an agent can affect business systems.
- Tool and API integration
- Permission boundaries
- Human approval gates
- Execution and cost limits
- Traceable actions
Connect AI to real systems
Integrate AI workflows with CRM, ERP, support, document, analytics or custom software through controlled APIs and service accounts.
Evaluate quality and operational risk
Representative test cases, groundedness checks, failure categories, latency and cost are reviewed before broader release.
- Task-specific evaluation set
- Human review criteria
- Prompt and model version control
- Monitoring and feedback
- Privacy and retention controls
Start with a focused generative AI pilot
Use a constrained workflow and representative data to test value, quality, security and operating cost before investing in a larger platform.
Start a useful conversation
Discuss a generative AI use case
A focused first conversation can establish fit, surface risk and identify the most useful next step.