AI Agents
Specialized agents designed to perform defined business tasks with the right tools, context and controls.
Customer operations · research · sales · documents · internal operations
Fanya products are reusable components for building operational AI systems. We configure, integrate, deploy and operate them around your workflows, data and existing technology.
Instead of rebuilding the same infrastructure for every use case, we combine reusable Fanya components into systems adapted to each business.
Specialized agents designed to perform defined business tasks with the right tools, context and controls.
Customer operations · research · sales · documents · internal operations
Coordinate agents, tools, workflows and human decisions across multi-step business processes.
Routing · state · multi-agent workflows · approvals · human-in-the-loop
Give AI systems access to relevant business knowledge and context without exposing everything to every agent.
RAG · knowledge retrieval · context engineering · memory · permissions
Connect AI workflows to the systems where your business data and operational actions already live.
APIs · databases · SaaS · files · events · connectors
Understand how AI systems behave in production and identify quality, reliability, latency and cost issues.
Tracing · evaluations · monitoring · failures · performance · cost
Control what AI systems can access and do, with policies and oversight designed for real business environments.
Access control · audit · policies · approvals · guardrails · governance
You do not need to assemble the components yourself. Fanya Labs adapts the product building blocks to your environment and takes them into production.
Adapt agents, context, policies and workflows to the business requirement.
Connect the solution to the systems, data and tools it needs.
Move the solution into a controlled production environment.
Monitor, evaluate and continuously improve the deployed system.
Solutions define the business outcome. Products provide reusable capabilities. The platform supplies shared infrastructure. Together they become an operational system.
We can design a system using the right mix of agents, context, integrations, orchestration, observability and governance.