YUBIMA
YUBIMA / AI agent development
Yubima develops AI agents and workflow automation around a defined business task. An agent can work with your documents and approved tools to help people find information, prepare a response, or move a request to the next step.
01
Start with a task that has a clear input, a useful output, and someone responsible for reviewing it. The right solution may be an agent, a simpler automation, or a better interface.
A knowledge assistant can retrieve relevant information from approved documents and show the source alongside its answer. Useful starting points include internal guidance, product information, and support documentation.
An assistant can extract details from an inquiry, summarize the brief, and suggest what is missing. A person reviews the output before any important decision or customer communication.
An agent can use approved tools to look up information or prepare an action. We define which systems it can access, which actions need approval, and when it should stop and ask for help.
02
The scope starts with the workflow and the data it needs. We agree on the deliverables before development.
Document the task, approved data sources, available tools, permissions, and human approval points.
Build the agreed assistant experience and connections to the systems included in the scope.
Test representative requests, missing information, incorrect answers, and tool failures. Define fallback behavior and what reviewers need to see.
Agree on documentation, source access, monitoring, and who maintains the prompts, content, and integrations after launch.
03
We map the task, build a focused prototype, and evaluate it with representative inputs before expanding the workflow. We review the quality of the output and the steps it takes, not just whether the demo looks convincing.
Model output can be wrong. Permissions, approval steps, and fallback paths are part of the design. Model and hosting costs depend on usage and are discussed separately from the development scope.
04
A chatbot primarily handles a conversation. An agent can also use tools to carry out a defined task. The useful distinction is what it is allowed to do: retrieve information, prepare an action, or execute an approved step. Not every workflow needs an agent.
We can scope connections to approved documents and systems with suitable access. The starting discussion covers where the data lives, its quality, the available integration methods, and which people should be allowed to use it.
That depends on the task and the agreed permissions. We identify actions that require approval, define escalation paths, and test failure cases. Important decisions and customer-facing actions need explicit consideration during scoping.
The number of workflows, data sources, integrations, interface requirements, and evaluation needs affect the scope. Model usage, hosting, maintenance, and development are discussed so you can understand the ongoing responsibilities.
Tell us about the current setup, the people using it, and what you want to change. We’ll discuss the scope and a useful first step.
Discuss your project