Choose the decision
Define the specific task, trigger, desired result, source information, permitted actions, and conditions that must be escalated to a person.
Agentic workflow design
Give AI a useful job, clear boundaries, and a responsible hand-off.
Kumash designs agentic workflows for operational tasks that require an AI system to reason over context, use approved tools or data, follow defined rules, and escalate to people when judgement or accountability is needed.
The outcome
The objective is a dependable operating workflow, not an autonomous demonstration. The design keeps the business goal, allowed actions, source data, human review, and measurement visible from the beginning.
A practical sequence
Orchestrate the work
Design how LLMs, agents, tools, APIs, knowledge sources, and workflow rules interact without obscuring the business process.
Measure and govern
Set quality checks, review points, audit trails, fallbacks, and outcome measures before increasing scope or automation.
Common questions
What is an agentic workflow?
An agentic workflow is a governed process in which an AI system can interpret context, use defined tools or information, perform bounded steps toward an outcome, and return work to people when required.
When should a team avoid an agentic workflow?
Avoid it when the task is not well defined, a deterministic automation is sufficient, the organisation cannot verify the output, or the risks of an incorrect action are not yet controlled.
How is human review built in?
Human review is designed as an explicit step around high-impact decisions, exceptions, low-confidence outputs, or actions that need accountable approval.
A useful next step