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How to choose the first workflow for enterprise agents

A practical framework for selecting a workflow that proves value, exercises governance, and creates reusable platform assets.

Hans Xu

Co-founder, Operations and Growth

Start with a workflow, not a general assistant

The fastest way to learn whether enterprise agents can create value is to choose one real workflow with a defined trigger, context, output, review point, and owner. A broad “ask anything” assistant may generate interest, but it is difficult to measure, govern, or improve.

Five selection criteria

1. The work happens frequently

A recurring task creates enough runs to observe quality, cost, exceptions, and user behavior. Monthly strategic work can still matter, but a weekly or daily workflow usually produces a faster learning loop.

2. The context is fragmented

Good first workflows often require documents, structured data, business rules, and prior decisions from more than one source. That fragmentation creates real pain and tests whether the platform can make the company readable.

3. The output is concrete

Choose a workflow that produces an artifact or action: a diagnosis, proposal, planning brief, report, product record, approved update, or task. Concrete outputs are easier to evaluate than an open-ended conversation.

4. Human review already exists

Existing review makes governance easier to design. Encode the real approval point rather than removing it. Capture what reviewers accept, edit, reject, and explain; those signals can improve templates and evaluation over time.

5. Value can be measured

Define the baseline before implementation. Useful measures include turnaround time, manual effort, error rate, service capacity, response time, conversion, or the number of handoffs. Do not rely on a subjective demonstration alone.

Map the workflow before building

Write down the trigger, users, sources, permissions, steps, decision rules, tools, output schema, review gate, write-back action, and success measure. Identify where probabilistic reasoning is useful and where deterministic logic is required.

Design for the second workflow

The first deployment should leave reusable assets behind: connectors, context structures, permissions, workflow nodes, governance rules, evaluation examples, and exception patterns. That is how a pilot becomes the beginning of an operating layer rather than a one-off project.

A strong first workflow is valuable enough to matter, bounded enough to govern, and reusable enough to make the next workflow easier.

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Move enterprise AI from pilots into production.

Move enterprise AI from pilots into production.

Move enterprise AI from pilots into production.