SBG / serviceFor new and existing businesses

AI Workflow Testing & Care

Before you trust an AI workflow, test the awkward cases.

01 / Who this is for

When this
work helps.

Teams using an assistant or automation with a defined job and access to its configuration. Particularly useful after a pilot, before wider use, or after a model or source change.

What is going wrong

A workflow can pass a polished demo and still mishandle missing information, stale prices, repeated requests, or a failed connection. Teams need a repeatable way to catch those problems.

How we would approach it

We agree on acceptable behavior with your process owner, build representative tests, and record failures. We improve the weak spots, rerun the cases, and write clear escalation and rollback instructions.

02 / What better looks like

The changes this work
should support.

01

Repeatable checks before changes go live

02

Visible failures and review ownership

03

Clearer maintenance and usage costs

03 / What we may build

The useful parts,
priced before we start.

Your project may need fewer pieces or more. These are the deliverables most often involved.

  1. 01

    A baseline review of one AI workflow

  2. 02

    Up to 50 agreed test cases with expected behavior

  3. 03

    Failure, handoff, and repeated-request checks

  4. 04

    Issue log and prioritized fixes

  5. 05

    Care proposal with capped review time and reporting

Led by Nate

A useful first
conversation.

Meet the people doing the work ↗

Pick one task your team repeats. We will check whether automating it is worthwhile.

  • A named person who can judge whether answers and actions are correct
  • A working system or pilot we can test with safe sample data
  • Known failure examples and access to relevant logs and settings

How we check the work: We report pass rates against the agreed cases, unresolved failures, handoff behavior, and measured usage costs. Passing a test set does not mean a system cannot make mistakes. Ongoing AI care and website upkeep are separately scoped.

06 / Common questions

Before you
start.

What can AI Workflow Testing & Care include?+

A project may include A baseline review of one AI workflow, Up to 50 agreed test cases with expected behavior, Failure, handoff, and repeated-request checks, Issue log and prioritized fixes, Care proposal with capped review time and reporting. We confirm what is in, what is out, who owns each part, and the final price before work starts.

How long does AI Workflow Testing & Care usually take?+

Timing is agreed after reviewing the scope, access, integrations, approvals, and testing the project needs.

What does AI Workflow Testing & Care cost?+

We discuss price after reviewing the fit and agreeing on scope. Any software, ad spend, paid licenses, or other outside costs must be agreed separately.

Who is AI Workflow Testing & Care designed for?+

Teams using an assistant or automation with a defined job and access to its configuration. Particularly useful after a pilot, before wider use, or after a model or source change.

Have a project in mind?

Let's figure out
your next move.

Send a few details about what you use today and what you want to improve. We will review the fit before discussing an agreed scope and price.