How it works

1. Find the task

Bring a plain-language description of the work, its frequency, and the tools you use. Tell us who owns it and what happens if it goes wrong.

Together, we’d identify a candidate workflow and a baseline for comparison. That may point to existing software or simple automation rather than AI.

2. Agree on scope

You identify approved information and a reviewer. We’d put the inputs, expected output, permissions, and success criteria into a written scope.

That scope must also cover cost limits, ownership, support access, and exclusions. Hosting, integrations, timing, and fees depend on the selected work. Agree on them before it begins.

3. Configure and test

Begin with synthetic examples or data you explicitly approve. Sekora’s scoped work would include configuration and tests for errors, missing information, conflicting instructions, and unauthorized requests.

Your reviewer would check sample outputs against the agreed criteria. Passing a demonstration is not enough to justify unsupervised use.

4. Train the people using it

Your team needs to know what the workflow can do and when to stop it. Training would cover approved inputs, checking outputs, reporting problems, and pausing work.

The operating guide would name the reviewer and explain which actions need approval. It should be usable by the people doing the work, not just the person who configured it.

5. Run a bounded pilot

A pilot would have an agreed duration, usage limits, review responsibilities, and fees. Pilot availability and terms depend on fit and an agreed proposal.

Compare results with the original process. Count review and rework effort, not just drafting speed. Record errors and decide whether the result is useful enough to continue.

6. Continue, change, or stop

Recurring management is a separate agreement, not an automatic next step. We’d define maintenance, support expectations, usage costs, and periodic review if the workflow demonstrates value.

If it does not, decide whether a narrower scope is worth testing or stop. The agreed exit path should explain handover, access removal, and data handling.

What to bring to the first conversation

A non-sensitive example of the task is enough to begin discussing fit. Describe the output you need, who checks it, and any privacy requirements.

Do not send passwords, customer records, health information, or confidential attachments. We can discuss a suitable way to handle approved material later.

Discuss a workflow, read the service overview, or see how scope affects pricing.