Research case R1
AI · Orchestration · Governance
Governed AI Agents & Agentic Workflows
Exploring how AI agents can work across tools and structured context without removing human accountability.
AECO research / governed agents
Useful assistance starts with a defined task and ends with an accountable decision.
Conceptual architecture for design and delivery teams. Agent roles describe research directions, not deployed autonomous capabilities.
orchestratorScope · route · record
The challenge
AI capability becomes difficult to govern when context, tool access, evidence and approval boundaries are implicit.
Teams are beginning to use AI across documents, applications and delivery systems. The difficulty is keeping the source of information, tool access and approval route clear when a task passes between them.
The approach
I am testing a task-led pattern: define the request, supply bounded context, restrict tool access, retain evidence and put a person at the decision point. The work compares how this pattern can be applied across Codex, Claude and Copilot environments.
System
Select a step to see its role in the work.
01Task
Define a bounded task and the decision a person needs to make.
02Context
Provide the approved sources and constraints needed for that task.
03Model
Select a model for the task while keeping its output open to review.
04Tools
Limit each tool to the access needed and record what it does.
05Evidence
Retain source references and outputs so a reviewer can trace the result.
06Human approval
Require a named person to approve consequential actions or publication.
07Audit trail
Keep a record of inputs, actions and approvals for later review.
Current position
This is research into a reusable operating method. It is not presented as a live organisational deployment or a measured productivity result.
Research and prototyping, not represented as a production deployment.
Next question
The next test is whether the same controls remain understandable when a workflow crosses several tools and a reviewer needs to reconstruct what happened.
Knowledge graph
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