wakitsoftChoose a workflow with a checkable result
Start with work that repeats, has reasonably stable inputs, and produces an output someone can inspect. Examples include extracting fixed fields into a draft record, or preparing input files for a task and collecting its outputs. A broad goal such as “add AI to operations” is too vague to test.
Write down the existing steps: who performs each step, what information they read, and where they write the result. Mark the decisions that need human judgment. This separates fixed rules from model-assisted interpretation and actions that should remain manual.
Separate model decisions from execution permissions
A model can propose an action; the tool layer should decide whether that action is permitted. Reading a document, updating a record, sending a message, and deleting data have different consequences and need different boundaries.
Whether an integration uses MCP or another interface, define the accepted fields, accessible resources, and returned result for each tool. For external messages, irreversible changes, or other high-impact actions, present a concrete preview for approval. Enforce permissions at the execution boundary rather than relying only on a prompt.
Design failure paths before the demonstration
Model output may omit required fields. An external service may time out. A job may be submitted twice. Give each task an identifier, an inspectable status, and a recorded outcome. Before retrying, check whether the previous attempt already changed the target system.
Incomplete inputs should return for clarification. Tool failures need a practical retry or manual handling path. Outputs that fail validation should remain pending review. A finished request is not necessarily a completed business task.
Evaluate a small set of ordinary and difficult inputs
Include missing fields, repeated content, unusual formats, and unavailable tools in the evaluation set. Record the manual baseline first, then check whether the automated workflow preserves the information and decisions that matter.
Useful measures include correctly completed tasks, manual corrections, duplicate actions, elapsed time, and cost per task. Define the measurement rules before expanding the workflow. A polished example alone cannot tell you how the process behaves across different inputs.
Bring evidence to the first prototype
Prepare a redacted input example, a desired output, and the current operating steps. Explain where the data lives, who may access it, which actions must stay manual, and how the result will be checked.
These materials can become a prototype, tool contracts, and acceptance cases. Wakitsoft approaches AI Agent and business automation development around this inspectable chain from input to execution to review.
Bring one real workflow
Prepare a redacted input, the desired output, and the steps that require human judgment. These make a useful starting point for a development discussion.
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