Service / Custom AI agents
Andura designs and builds custom AI agents around a real workflow: the context they need, the tools they can use, and the moments where a person should stay in control.
We map the work around the agent so the capability has a clear job and a useful definition of done.
We combine retrieval, structured outputs, integrations, and orchestration around the task instead of adding AI for its own sake.
Important actions need understandable review, escalation, and permission flows that people can use under real pressure.
Evaluation is part of the product. We make failure visible so the system can improve without guesswork.
A practical path
The first version should answer a real question about the work. It does not need to pretend the entire business can be automated on day one.
Choose a workflow where better context, faster retrieval, or a controlled action would make a meaningful difference.
Prototype the prompts, tools, retrieval, and review boundary against real examples before a larger integration.
Connect the agent to the data, permissions, and interfaces it needs while keeping the surrounding workflow understandable.
Review quality and failure cases, document the handoff, and decide what the next useful increment should be.
If you know the workflow but not the right agent shape, that is enough to start. Bring the decision, the friction, and the constraints.
Start with context →Custom AI agent development
Tell us where reasoning, retrieval, or controlled action could help your team.