Match rules to predictable steps.
A fixed calculation, a scheduled export or a routing rule with explicit conditions usually has a straightforward software implementation. Describe these steps precisely so they can be tested with known inputs and expected results. They can also support an agent workflow by validating fields, enforcing permissions or moving an approved result into the next business system without asking a model to recreate the rules.
Identify where interpretation adds value.
An agent can be useful when work involves understanding a varied request, comparing documents or deciding which approved tool to use next. Define the decisions it is allowed to make and the information it can use to make them. For example, preparing a sourced answer from approved policy documents is a different scope from interpreting a request and directly changing a customer's account.
Build orchestration around explicit handoffs.
Map how a task moves between model reasoning, software functions and human review, including the state each step passes forward. Give every step a clear input, output and failure condition so operators can tell what happened when a result is incomplete. Add further agents only when distinct responsibilities or independent review improve the job enough to justify the extra coordination and operating cost.
Control actions separately from generated text.
A persuasive explanation is insufficient evidence that a proposed action is authorized or correct. Apply access checks, input validation and approval rules at the tool or application boundary, and record material changes with enough context for review. This helps a Canadian enterprise or public-sector team define how an agent fits existing operational responsibilities and information handling expectations.
Compare approaches using your cases.
Try representative inputs with a rules-based approach, an agent approach or a combination, then compare accepted results and the effort required to operate each. Include ambiguous requests, missing information and tool failures so the comparison reflects everyday work. Active K Digital can help design the workflow and the evaluation together, making the implementation choice answerable through observed behavior.
Your starting checklist.
- Separate fixed rules from decisions requiring interpretation.
- Define each step's inputs, outputs and owner.
- Enforce permissions at the tool boundary.
- Specify approval, exception and recovery paths.
- Compare quality, review effort and total operating cost.