AI agent or deterministic workflow: which one fits?
Agents help when steps vary and judgement is valuable; workflows win when rules and auditability dominate.
By Shashi Kumar ·
Agents help when steps vary and judgement is valuable; workflows win when rules and auditability dominate.
The short answer
Use the least autonomous design that can handle the real variation in the task. The goal is not to buy the most complicated solution. It is to make the next useful business outcome easier to reach, measure and improve.
What good looks like
Tool permissions are narrow and reversible
This keeps the work connected to a real decision instead of a collection of attractive screens or fashionable tools. Ask who owns it, how it will be checked and what changes when the answer is known.
Important actions require explicit approval
Make this visible in the scope and review it with realistic content. Specific examples expose assumptions early, when they are still inexpensive to change.
The system records what it attempted
The final result should be understandable to the people who will operate it. Good delivery includes access, documentation and a clear next step—not just a launch link.
Common mistakes to avoid
- Using an agent for a fixed sequence. It usually optimises the easiest thing to compare instead of the thing that creates value.
- Giving broad credentials for convenience. This pushes an important decision to the most expensive stage of the project.
- Judging quality from polished demos. If nobody owns the exception, the customer eventually discovers it for you.
A practical checklist
- Map decisions and allowed actions. Write down the decision, owner and evidence you will use.
- Separate read tools from write tools. Write down the decision, owner and evidence you will use.
- Simulate failures and ambiguous requests. Write down the decision, owner and evidence you will use.
- Add limits, approvals and audit logs. Write down the decision, owner and evidence you will use.
How to discuss this with a developer
Bring the problem, the people affected, any current workaround and a comfortable budget range. You do not need a technical specification. A good developer should help turn that context into options, explain the trade-offs in plain language and identify the smallest responsible first release.
For ai agent or deterministic workflow, ask for a scope that distinguishes required work, assumptions, exclusions and post-launch ownership. That makes quotes easier to compare and protects both sides from avoidable surprises.
The next step
If you are planning this now, send me a short project note. Tell me what you want to improve and what is getting in the way. I will reply with the most practical next step, even when that step is smaller than a full build.
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