AGENTIC SYSTEMS / 002
AI agents
Design assistants and agents that can use tools, data and rules inside a controlled operating boundary.
An agent is useful when its work can be understood, tested and stopped.CONTEXT / BEFORE TECHNOLOGY
An agent is useful when its work can be understood, tested and stopped.
An AI agent combines a model with sources, tools and a sequence of decisions. That combination can complete multi-step work, but it also creates new failure modes: unreliable sources, excessive permissions, loops, inconsistent outputs and actions taken without sufficient context.
BaxIA treats the agent as a system, not a conversational demonstration. The expected result, allowed actions, evidence, stop conditions and human responsibilities are designed before autonomy is increased.
STRUCTURAL LOGIC
What makes the system dependable.
Complete reasoning before implementation, with the decisions and operating consequences kept visible.
Define an outcome that can be verified
The agent receives a bounded job rather than a vague instruction to be helpful. Inputs, expected output, source requirements and unacceptable behaviours become a testable contract.
If a result cannot be checked by a rule, a source or a competent person, the task is not ready for autonomous execution.
Give the minimum useful permissions
Each tool is exposed with a narrow purpose and a clear data contract. Read access and write access are separated, and sensitive actions require explicit approval.
Credentials, tenant boundaries and private data remain outside the model's unrestricted reach. The agent receives only the context required for the current task.
Evaluate the complete behaviour
A few successful conversations do not prove reliability. Evaluation covers normal cases, ambiguous requests, missing data, unsafe instructions, unavailable tools and repeated attempts.
Traces make it possible to distinguish a reasoning problem from a data, integration or permission failure, which is essential for useful improvement.
Deploy with supervision
Limits on time, cost, retries and actions prevent uncontrolled loops. Operators can inspect the current state, intervene and stop the run.
Autonomy is expanded only when evidence supports it. The goal is dependable work, not the largest possible number of unsupervised actions.
BEFORE / BAXIA / AFTER
Change the operation, not only the interface.
The technology earns its place by making work clearer, controllable and easier to improve.
DELIVERY / EXPLICIT
What the engagement can produce.
The final scope depends on the observed process. Deliverables are confirmed before implementation and remain connected to an owner.
Autonomy boundary and permission matrix
Source, tool and structured-output contracts
Evaluation cases, stop conditions and failure tests
Interface, traces and operating guide
LINEAR EXECUTION
A visible progression from context to operation.
Each step reduces uncertainty before more time, data or access is committed.
- 01
Define
- 02
Limit
- 03
Connect
- 04
Evaluate
- 05
Supervise
GOOD FIT
This approach is useful when…
- The task requires several steps, sources or tools.
- The result and important intermediate actions can be checked.
- The organisation can name the risk owner and approval points.
NOT A FIT
It should not be forced when…
- The project relies on unrestricted autonomy to create its value.
- There is no reliable source, test set or person able to validate outcomes.
QUESTIONS / CLEAR ANSWERS
Before beginning.
What is the difference between an assistant and an agent?
An assistant mainly prepares information for a person. An agent can select and use tools across several steps. The more it can act, the more its permissions, tests and stop conditions matter.
Can an agent operate without human review?
Only for low-risk, reversible actions that have demonstrated reliable behaviour. Sensitive decisions remain subject to explicit human validation.
Can we begin with a limited pilot?
Yes. A bounded pilot with representative cases is usually the right way to measure usefulness, reveal failure modes and decide whether broader autonomy is justified.
Could this part of the work function better?
Begin with the process, its owners and the expected value.
Build with BaxIA