Time to deploy a change
Deploy time = workflow live date − change requested dateTracks how quickly process changes reach production. Compare with the time before using the builder.
An AI workflow builder agent is software that turns a described business process into a draft workflow, with steps, conditions, approvers, notifications and deadlines, without writing code.
A process owner explains the workflow in plain words.
The agent proposes steps, conditions, approvers and deadlines.
It asks about missing owners, exceptions and unclear conditions.
The owner edits the draft and tests it with sample cases.
An administrator turns the workflow on in the live system.
Notifications and deadline reminders follow the approved design.
The workflow builder agent turns a described process into a draft workflow. It sets the steps, branches, approver roles and conditions based on amount, category, vendor risk or department, adds reminders and escalation points, and summarises the logic in plain language. It also proposes edits to existing flows. It reads the description, current workflows, roles, approver lists and service targets.
It hands the process owner a draft and a summary showing how a request would move. The owner accepts, edits or rejects it, finance and legal set the control rules, and an administrator releases the workflow. The builder publishes nothing and decides no request. Every draft and proposed change is logged for review.
Each task below is something the agent prepares, checks, drafts or routes, with a person keeping the decision.
It converts a plain-language process into steps, branches and approver roles.
It proposes rules based on amount, category, vendor risk or department, and shows how a request would flow.
It suggests reminders, escalation points and service levels so requests do not stall.
It summarises the logic in plain language, so reviewers can see what will happen before it is used.
It proposes edits when the process changes and shows what the edit affects.
The process description, existing workflows, roles and approver lists, notification settings and service level targets.
How a description translates into steps and conditions, which details are missing, and how reminders and escalations should be set.
Creates a draft workflow and a summary of its logic. It does not publish a workflow or approve any request that passes through it.
Sets reminders, escalations and deadlines for each step.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Design effort | Building a workflow means configuring each step in an admin screen. | A described process becomes a first draft the owner can edit. |
| Missing details | Gaps such as absent approvers appear after the workflow is live. | The agent raises open questions on owners and exceptions before review. |
| Deadlines | Deadlines and reminders are added inconsistently or forgotten. | Notifications and time limits are proposed with each step. |
| Explaining changes | Few people can say what a workflow does or why. | The agent can describe each step and condition in plain language. |
| Iteration | A small change needs an administrator and a ticket. | The owner can request changes and review the updated draft. |
| If | Then | Who decides |
|---|---|---|
| A step has no named approver or role | Asks who should approve and leaves the step open | Process owner names the role |
| A condition depends on an amount or category the description leaves vague | Asks for the rule instead of inventing one | Finance or policy owner sets it |
| A step could wait forever | Proposes a reminder and an escalation path | Process owner approves |
| The draft changes who can approve spend | Marks it for finance and policy review | Finance decides |
| An existing workflow would be changed | Shows the before and after | Administrator decides whether to apply it |
| A requested step is beyond what the system supports | Says so and suggests a manual step | Administrator advises |
The agent points out the conflict and asks which rule wins. The process owner resolves it before the draft is finalised.
The draft can include a delegate or escalation role if the owner asks. People decide who holds that authority.
The agent suggests a simpler main path with an exception route rather than many branches. The owner decides how much complexity is worth it.
The agent lists each department's step and asks each owner to confirm. The sponsor decides if the design is accepted.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with a low-risk process, such as a notification flow, where mistakes are easy to spot.
Run example cases through the draft and compare with how the process actually works.
Introduce approval workflows once finance and policy owners are comfortable with the review step.
Record who approved each workflow and revision so later changes can be traced.
Deploy time = workflow live date − change requested dateTracks how quickly process changes reach production. Compare with the time before using the builder.
Shows how well the drafts match what owners want. Low values suggest descriptions need more detail.
Indicates whether the notifications and escalations in the workflow keep requests moving.
Quick answers to what people ask most about AI workflow builder agent.
Book a demoIt is a tool that creates a draft workflow from a plain-language description of a process. The draft covers steps, approvers, rules and reminders, and a person reviews it before it is used.
No coding is needed. You describe the process in words and review the result. Understanding your own approval rules is the main requirement.
No. It proposes a draft, and an authorised person must review and activate it. Changes to approval rules should follow your usual governance.
It can suggest reminders, escalation steps and service level targets for each stage, and the owner adjusts them. Notifications then follow the rules the owner approved.
An AI procurement copilot is an assistant that lets people ask questions in plain language about spend, policy, contracts and requests, and returns answers drawn from procurement records.
→An AI MCP procurement agent is a connector that exposes procurement data and functions to AI assistants through the Model Context Protocol, a standard way for AI tools to reach external systems.
→Notification and SLA management is setting target response times for procurement tasks and alerting the right people as those targets approach or pass.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.