Nexel
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Start with the workflow. Build the capability underneath it.

  1. 01

    Find the work worth changing.

    Nexel maps the current workflow, the people involved, the systems it touches, the information it relies on and the economics of doing it today.

    This is the AI Workflow Audit.

  2. 02

    Build the business model.

    • Connect the required systems.
    • Resolve entities and relationships.
    • Define the relevant permissions.
    • Prepare the information the workflow depends on.
  3. 03

    Build the workflow.

    Define:

    • trigger
    • context
    • rules
    • model task
    • expected output
    • supporting evidence
    • human approval
  4. 04

    Test it against work you've already done.

    Before a team relies on the workflow, Nexel builds evaluation sets from historical work the client has already completed and accepted.

    The point is not whether the output looks impressive.

    The point is whether it performs against the firm's own standard.

  5. 05

    Put it into real work.

    • Start with defined users and a defined scope.
    • Measure.
    • Review.
    • Improve.
  6. 06

    Add the next workflow.

    Reuse the existing operating layer.

Five questions

Would this actually work here?

Worth finding out in thirty seconds rather than after a sales call. Nothing is sent anywhere; this runs in your browser.

  • 01
    A confidentiality or regulatory obligation rules out public AI tools for our real work.
  • 02
    We have years of documents that are genuinely an asset, not just storage.
  • 03
    Expensive expert time goes on finding, summarising and drafting.
  • 04
    We have 30–150 staff and already buy professional services at A$50k+.
  • 05
    We have systems of record we are not going to replace.
0 answered

Answer honestly. A no is more useful to both of us than a maybe.

Find the first workflow