An AI Agent Workflow Checklist Before You Automate a Business Task

Define one job and its finished output

“Run our marketing” is a department, not a first workflow. “Turn this approved product brief into a draft FAQ with source links” is small enough to inspect. You can identify the input, read the output, and decide whether it helped.

Write the task as a sentence with three parts: the material the agent may use, the result it should produce, and the person who accepts it. For example: “Read the approved support notes, prepare a draft answer with the relevant documentation link, and return it to the support owner.” Sending the answer is a separate permission from drafting it.

Suede Agent Studio is the place to explore building an agent workflow. Decide what the workflow should do before choosing its steps on a canvas. A diagram cannot resolve a disagreement about the job.

Name the source the agent should trust

Give the task a current source: a product page, approved document, or specific dataset. Identify its date and the fields the agent is allowed to use. If two documents disagree, the workflow needs a rule for which one wins or a route back to the owner.

For a Suede product explanation, start with the documentation and the relevant product page. Use the pricing directory for current public plans instead of copying a number from an old article. The public footprint provides another way to locate the different surfaces.

If the input is a public webpage, Suede Lens describes a way to inspect its rights, search, and structured-data signals. For a wider account of checking what answer engines say about a business, read The Screenshot. Preserve a dated capture of the source you actually used.

Keep editorial and company records distinct. The founder profile describes the person, the about page describes Suede, and the press room provides material for journalists. If a draft needs one of those facts, point it at the appropriate record and preserve the source link in the output.

Separate reading, drafting, and acting

List the actions the task can perform. Reading a document, producing a draft, updating a shared record, publishing a page, and making a payment have different consequences. A general instruction to “handle it” leaves too much interpretation at the moment of action.

For an initial run, choose an output you can review without affecting a customer: a draft response, a proposed classification, or a report. State which actions require approval and who can give it. If there is no permission to send or publish, the workflow should end with the reviewable draft and a clear next step.

The Suede skill pack introduces reusable task instructions. The full skills library is useful when you need a more specific procedure. Read the skill’s boundary as carefully as its description; a procedure for reviewing a release is not permission to publish it.

Write the failure cases before the happy path

Try the task with an ordinary input, a missing field, and a contradiction. Ask what should happen when a source is unavailable or the output is incomplete. A useful workflow returns the unresolved question and preserves the material it already has.

Retries need an explicit rule. Re-reading a page and sending the same customer message twice are very different repeats. Record whether a step can safely run again, how the workflow recognises an earlier completion, and when a human should take over.

Our engineering note on the bugs behind two Suede skills shows why this matters: a confident completion summary can still disagree with the destination system. Design the check around the output people receive, not the wording of the agent’s last message.

Put a ceiling on the work

Specify the permitted run length, number of attempts, and spending boundary where relevant. Define what remains useful if the task reaches that limit: a partial report with completed items, a saved draft, or a list of inputs still needed. “Keep trying” is not a budget.

Start with a small representative batch. Compare the result with the acceptance criteria and record how much review it needed. If correcting the output takes longer than doing the task, narrow the job or improve the inputs before increasing volume.

If you want a team to operate the workflow, managed AI agents describes Suede’s supervised service. For the wider process and ownership questions, read the AI operations practice. When the underlying systems and handoffs need diagnosis first, the forward deployed engineer engagement is the relevant starting point.

Decide what evidence means “done”

Match the evidence to the action. A draft needs a readable file. A published page needs a check of the public URL. An updated record needs a readback from the destination. A failed step needs the reason, the work completed before it failed, and the exact next action.

Use this brief before your first run:

• Input: the approved source and the specific material to process.
• Output: the artifact, fields, or destination that must exist.
• Owner: the person who accepts the result and resolves contradictions.
• Permissions: what the workflow can read, draft, change, or send.
• Limits: the attempt, time, and spending boundaries.
• Recovery: what to save and who to contact when a step fails.
• Acceptance: the observable check that establishes completion.

For a scoped Suede inquiry, send the task and its current bottleneck through the contact page. A precise brief makes it easier to decide whether the next step is an agent, a clearer process, or a repair to the system the work depends on.