What is Agentic Workflow?
An AI that plans and executes multiple steps toward a goal - reasoning, using tools, and acting, not just answering.
Agentic Workflow: definition
A simple AI interaction is one prompt, one answer. An agentic workflow is different: the AI breaks a goal into steps, decides what to do at each step, calls tools to gather information or act, observes the results, and adapts - looping until the goal is met. This unlocks powerful automation but raises the stakes, because the agent takes real actions with less step-by-step human direction. Governance, guardrails, and human checkpoints become essential.
- The agent plans and executes multiple steps toward a goal
- Uses tool calls to gather information and take actions
- Observes results and adapts its next steps
- Powerful automation, but higher stakes needing governance
How Fintra handles it
Fintra lets AI drive multi-step work - drafting entries, reconciling, preparing a close - but keeps the agent accountable and constrained: it operates under least-privilege access and policy guardrails, every step is logged to a tamper-evident trail, and any consequential action pauses for a named human to approve. The agent does the legwork; a person owns the decisions that matter.
- AI performs multi-step work within policy guardrails
- Every step attributed and logged for review
- Consequential actions pause for human approval
Worked example
Frequently asked questions
What is the difference between an agentic workflow and a chatbot?
A chatbot responds to prompts one at a time. An agentic workflow has the AI plan and execute a sequence of steps - using tools, observing results, and adapting - to reach a goal with less step-by-step human direction. Agents act; chatbots answer.
Why do agentic workflows need governance?
Because the agent takes real, multi-step actions with more autonomy, a mistake or manipulation can compound across steps. Guardrails, least-privilege access, full logging, and human approval for consequential actions keep the automation safe without giving up its benefits.
Are agentic workflows fully autonomous?
They can be, but in high-stakes domains like finance full autonomy is risky. The responsible pattern is bounded autonomy: the agent handles the multi-step legwork, but consequential decisions pause for a named human to approve - which is how Fintra operates.
What are the risks of agentic workflows?
Compounding errors across steps, susceptibility to prompt injection or jailbreaks, over-broad access, and actions taken without adequate human oversight. Mitigating these requires treating the agent as a governed identity - scoped, logged, and checked at consequential points.
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