AI Automation Opportunity Scanner

Use the AI Automation Opportunity Scanner to document your workflow, identify missing controls and prepare a useful implementation discussion. No email required.

Reviewed by RESULTWARD editorial. Proposed implementation guidance.

Production readiness review

  • Name the person responsible when a work item has no destination receipt.

  • Document the source identifier and the duplicate-detection window.

  • List actions that require approval and a way to undo each permitted action.

  • Test an expired connector credential without losing the request.

  • Define the manual queue and how its oldest item will be reviewed.

Map the workflow before requesting a build

Describe one request from arrival to completion, each handoff, the current owner, required approval and the receipt that proves it reached the destination.

Use this worksheet without an account or email address. Start with one real example, keep sensitive details out and mark unknown answers explicitly. Its purpose is to expose dependencies and approval boundaries, not to convert a checklist score into permission for autonomous actions.

AI Automation Opportunity Scanner

Your answers stay in this browser tab. Export saves a text file to your device. Sending a project enquiry is a separate action.

Production readiness review

Record evidence, not just a tick

Unchecked items are discovery questions. Even a fully checked list cannot establish security, provider compliance or readiness for a particular release. Attach evidence and an owner for each critical control, then exercise the failure path. You can print this page or export your notes without sending an enquiry.

A concrete workflow to compare

A professional-services intake desk routes a signed brief to delivery. The account owner approves scope, the workflow creates a work item and a delivery coordinator resolves missing client references. The source document and destination record remain linked without copying the entire mailbox into a model.

Use the findings to choose a first release

A clearer intake form or shared queue may remove the bottleneck before a model is useful. Keep rare negotiations manual; automate the repeated handoff with explicit rules.

Does every workflow need an AI agent?

No. Route known request types with fixed rules. Add bounded interpretation only where unstructured language changes the decision, and measure its errors against operator-labelled examples.

Examine the system behind the proposal

RESULTWARD built a comparable system for its own website, and the write-up covers its design, tests and known limits. It is first-party engineering evidence, not a client result or a measured business outcome.

See how RESULTWARD built its own version

Start with one real workflow

Describe the result, current process and the exception that is hardest to handle. We review the scope before proposing a build. Your enquiry goes through a secure server-side form, and nothing you enter in a worksheet is sent automatically.

Map My Workflow