AI policy and enablement for teams

Give your team a clear, practical way to use AI at work.

We help Australian businesses set sensible rules, train their staff and decide where AI can genuinely help. You get a clear foundation before anyone starts building agents or automations.

You do not need an AI plan before the first call.

What you receive

A useful foundation for the whole business.

The paid engagement gives leadership and staff a shared starting point. The exact scope is agreed before the work begins.

01

A practical AI policy

A review of where AI is already being used, the practical risks that matter, and clear rules for approved tools, business data and human review.

02

Staff training that fits the work

A practical session using examples your team can recognise, with guidance they can use after the workshop.

03

A department opportunity plan

Useful ideas grouped by department, put in a sensible order and separated from the things that can wait.

Skills, agents, integrations and automation are scoped separately after the priorities are clear.

Ideas to borrow

Twelve useful places to start.

These are examples your department plan might surface. The right starting point depends on your team and the work.

Keep everyone informed

  1. Daily priorities brief

    Bring today’s meetings, deadlines and important updates into one short brief.

  2. Meeting notes into actions

    Turn a transcript into decisions, owners and follow-up tasks.

  3. Weekly project updates

    Gather progress from your tools and prepare a clear update for review.

  4. Handover and status checks

    Show what is done, what is blocked and what the next person needs.

Make information useful

  1. Answers from company knowledge

    Ask questions across policies, documents and previous decisions.

  2. Proposal and report drafts

    Build a first draft from approved templates and current project information.

  3. Research briefs

    Collect sources and summarise the useful parts for a decision.

  4. Spreadsheet analysis

    Find patterns, exceptions and questions worth investigating.

Keep work moving

  1. Inbox and Microsoft Teams triage

    Sort requests, flag urgency and recommend the next action.

  2. Customer reply drafts

    Prepare a response using the right history, tone and policy.

  3. Follow-up reminders

    Notice quiet leads, overdue approvals and tasks that have stalled.

  4. Onboarding checklists

    Prepare access, reading and first-week actions when someone joins.

The paid engagement

We start with how your business already works.

We look at current AI use, leadership concerns and the work happening across the team. From there, we set the rules, train the staff and put the useful opportunities in order.

Four practical steps

How the engagement runs

  • Review current use and concerns
  • Set tools, data and approval rules
  • Train staff using relevant examples
  • Map opportunities by department

Participants, timing, fee and final outputs are confirmed before you commit.

Scoped separately

Build only what the business is ready to use.

The policy, training and department plan give you a basis for deciding what should be implemented next.

01

Skills and playbooks

Reusable instructions, prompt libraries and role-specific ways of working.

Scoped by department.
02

Agents and workflows

Connected tools, scheduled reports and repeatable work with clear approval points.

Scoped after the priorities are agreed.
03

Ongoing support

Reviews, staff onboarding and help improving what the team is already using.

Added only where it is useful.

Questions

What to know before the first call.

You can come to the first call with scattered experiments, leadership concerns or a completely blank page.

What happens on the first call?

The first call is fifteen minutes with no obligation. We look at where AI is already showing up, what leadership is concerned about and whether the policy and enablement engagement fits. Scope, timing, fee and outputs are confirmed before you commit.

What do we receive from the paid engagement?

The agreed scope can include an AI acceptable-use policy, practical staff training, a department opportunity plan and prioritised recommendations for what to do next.

Is the AI policy legal advice?

The policy is practical operating guidance for your business. It is not legal advice. If you need legal or HR sign-off, we can work with your adviser or recommend specialist review.

What if our team has barely used AI?

That is fine. We can start from a blank page, explain the basics in plain English and help the team build sensible habits from the beginning.

Are custom agents and automations included?

They are scoped separately after the enablement work. That keeps the first engagement focused and gives you a clear basis for deciding what is worth building.

Will you connect our business data straight away?

No. Tools, access and data handling are reviewed before anything is connected. Sensitive decisions and final sends stay with a person unless you agree otherwise.

First step

Tell us where AI is showing up.

In fifteen minutes, we will work out whether the policy and enablement engagement fits and explain the next step.

Book the 15-minute call

Talk to us

Book your discovery call

Pick a time that suits you and we will have a straight conversation about where your business is at and whether we can help. No obligation, no pitch.

  • No obligation A straight chat about where your business is at. No pitch deck, no pressure to sign anything.
  • Fifteen focused minutes We keep it tight and respect your time, so you get value even from a short call.
  • Clear next steps You leave with at least one practical idea you can act on, whether or not we work together.

Your consultation will be with

John Dwyer, Smashed Avo John Dwyer Fractional Digital Strategist