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A responsibility you can direct
At iabot, an AI employee is working capability organised around a role and instructions. You set a goal, provide context and choose its tools. It can carry out the task and return an answer, file or completed action within the available permissions.
The word employee makes the working relationship understandable: roles, materials, deliverables and review. It does not give the system a person's judgement, responsibility or lived experience. iabot aims to expand what people can do and free attention for work requiring their judgement.
An example from start to finish
Imagine receiving three proposals to renovate an office. Ask the employee to read them, compare line items and list exclusions. Provide the quotations and explain what matters: scope, timing, conditions and open questions.
The employee returns a table and explanation. The responsible person checks figures, identifies gaps and decides what to ask suppliers. Sending a follow-up email also requires the correct mailbox, access and sending authorisation. Preparing a comparison and committing to a purchase have different scopes.
The parts of the role
- Function: its responsibility and expected outputs.
- Context: relevant documents, messages and data.
- Skills: reusable procedures describing how to work.
- Tools: available applications, files and working interfaces.
- Permissions: limits on execution and what requires consultation.
- Human review: judgement to accept, correct or stop the work.
How to start with your team
Choose a role and a frequent task you can check. A first pilot might prepare a weekly summary or turn notes into a proposal draft. Define the expected quality and measure the human review still required.
When the procedure works, preserve it as a skill and decide whether to schedule it. Expand based on observed results, letting the team learn delegation while retaining direction.