AI and automation

Microsoft 365 Copilot, a public artificial intelligence assistant or a private alternative?

A use-case-led comparison method that avoids product hype and stale feature tables.

Choose an artificial intelligence (AI) assistant by assessing the work, data boundary, identity integration, administrative control, evaluation and total operating cost. Generic feature lists hide the differences that matter. Public assistants, suite-integrated products and private or open-source options have different strengths and responsibilities. Run the same day-to-day tasks through shortlisted options and retain a human decision point.

The decision

What changes the answer

  • Product names, features and licensing change quickly; verify them at decision time.
  • Existing Microsoft 365 permissions can be amplified by an integrated assistant, so permission hygiene matters first.
  • Self-hosting changes where responsibility sits; it does not remove security, model, evaluation or maintenance work.

Where the decision commonly goes wrong

  • Choosing from a polished demonstration instead of the team's actual work
  • Connecting broad data before permission review
  • Calling an open-source component free while ignoring hosting, updates and operational ownership
  • Comparing licence prices without counting evaluation, support and exit work

A sensible way to decide

  1. 01

    Define three to five use cases

    Specify input, output, user, frequency, data classification, review and desired improvement.

  2. 02

    Set non-negotiable controls

    Cover identity, data use, retention, administration, logging, region, connectors and offboarding.

  3. 03

    Create a test set

    Use ordinary, ambiguous and unsafe examples taken from the work being considered, with an agreed scoring method.

  4. 04

    Compare total operation

    Include licence, implementation, permission clean-up, training, support, evaluation and exit cost.

  5. 05

    Pilot and review

    Approve a limited group, monitor quality and use, and stop or change when the evidence does not support scale.

Check before committing

  • Use cases defined
  • Data boundary approved
  • Permissions reviewed
  • Test set scored
  • Operating cost compared
  • Exit path documented
  • Pilot decision recorded

Material checked for this note

  1. Australian Government — Voluntary AI Safety Standard
  2. Australian Government — National AI Plan: spread the benefits
  3. Office of the Australian Information Commissioner — Small business and the Privacy Act

Links and technical details checked 2 September 2026. Corrections can be sent to info@turnstoneai.com.

A practical next step

Apply the guidance to the real environment.

Share what is not working, what is changing or what decision needs to be made. Technical answers can come after the business context is clear.