Purpose and instructions
An objective gives the agent a job; instructions and rules define how it should approach that job and where it must stop.
TECHNICAL PAGES
Anatomy of an AI Agent
Useful agents bring several capabilities together. The precise combination depends on the work, the environment and the required controls.
Reasoning and context
The AI interprets the situation using the current request, relevant facts and the task it has been given.
Knowledge and state
Approved knowledge and a record of what has happened can make the work more accurate and continuous.
Tools, data and actions
Permitted capabilities allow an agent to retrieve information, prepare outputs or trigger an approved workflow step.
People and controls
Human review, escalation, permissions and governance keep professional accountability visible.
Conceptual, not prescriptive.
These layers are not a rigid technical specification. A compliance-readiness agent, for example, may understand document requirements, inspect what has arrived, identify gaps, prepare a follow-up, update a case state and escalate an unusual situation to a person. Another agent may only help someone find an approved procedure.
PRACTICAL LENS
What this means for your firm
The building blocks help a firm stop treating AI as a chatbot experiment and start defining an operating capability. Before implementation, it can be clear about the job, inputs, permitted actions, controls and the staff roles that support the agent over time.
PRACTICAL LENS
What this means for services to your clients
When an AI-enabled client service is designed, the architecture becomes part of the service design. Purpose, information, tools, boundaries and human responsibility need to be deliberate so the service is repeatable without pretending that every client situation is the same.