Automation guidesILLUSTRATIVE GUIDE / Workflow automation

Less forwarding. A clearer next action.

An illustrative AI-assisted enquiry workflow that turns incoming messages into a structured draft for the right person to review.

Process mappingAI-assisted extractionHuman review
AI IN EVERYDAY WORK

What if the first pass was already done?

Connect incoming work to a clear, human-reviewed next step.

Illustrative workflow. An example of the work and possible deliverables, rather than a published client engagement.

01 / THE CHALLENGE

Turn an inbox task into a reviewable handoff.

Enquiries arrive in a shared inbox. Someone reads each message, extracts the important details, decides who should own it, and copies the information into another tool.

AI can help with that first pass, but incomplete requests, unusual attachments, and mistaken classifications still need an explicit review path.

02 / THE APPROACH

Test the first pass before connecting the workflow.

The exact scope follows the business need. Work of this kind can take shape through these stages.

  1. 01

    Understand the current process

    Map inputs, decisions, destinations, volume, and exceptions. Identify what must stay under human control.

  2. 02

    Pilot with representative examples

    Use an agreed set of messages to test extraction and routing. Include ambiguous, incomplete, and out-of-scope requests.

  3. 03

    Connect the tools and review step

    Prepare structured fields and a suggested destination. Keep external messages and consequential updates behind the agreed approval.

  4. 04

    Enable the people operating it

    Document overrides, failures, access, and operating costs. Train the team to review results and improve the workflow.

03 / A CONCRETE EXAMPLE

An enquiry becomes a reviewable work item.

A customer email requests a new booking application. The workflow prepares the first pass.

Incoming enquiry

The message and approved attachments are received from the agreed source. Untrusted instructions in source content are treated as data.

Structured draft

The system extracts the requested service, desired timeframe, and missing information, then suggests an owner.

Human handoff

A reviewer checks the draft, corrects fields, and approves the next action. Unclear messages remain in the review queue.

04 / IMPORTANT DECISIONS

Where AI prepares and people approve.

Permission to act

Separate drafting from sending or updating. Define which actions are automatic, which require approval, and which are never allowed.

A route for exceptions

Missing fields, service failures, unsupported attachments, and uncertain results need a visible owner and a recoverable state.

05 / WHAT YOU RECEIVE

A workflow with an owner and a review path.

Deliverables and ownership are agreed in the engagement. For this kind of work, they can include:

  1. 01

    An implemented workflow

    The agreed input connection, AI-assisted steps, review interface, and destination handoff.

  2. 02

    An evaluation set

    Representative examples and expected outcomes that help check changes before they are released.

  3. 03

    An operating handover

    Review guidance, access ownership, exception handling, and the agreed monitoring and support scope.

LET’S MAKE IT SPECIFIC TO YOU

Let’s look at your workflow.

Tell us about the people, the task, and the systems involved. We can use that context to discuss an appropriate scope.

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