AI implementation and support for Australian SMEs — run by fractional CIOs with enterprise scars.
Most SMEs do not need a lab. They need one or two AI use cases in production, governed properly, supported after go-live. We scope, build and support them using the same disciplines we ran inside enterprise IT.
Outcomes
- One or two AI use cases live in production, chosen on value and risk — not hype
- A costed business case your board or owner can approve in a single meeting
- Secure configuration of Microsoft 365 Copilot, ChatGPT Enterprise, Claude or Gemini against your data
- An AI acceptable use policy and staff enablement programme people actually follow
- ISO 42001-aligned governance sized for a team without a compliance department
- Ongoing support so the capability survives after the consultants leave
What we deliver
- AI opportunity and readiness review: A two-week review of your processes, data estate and tooling. Every candidate use case scored on value, effort, data sensitivity and regulatory exposure.
- Costed business case: Licensing, delivery, change and run costs against a measurable benefit. Written the way an enterprise investment committee expects, sized for an SME approval.
- Secure rollout: Tenant hardening, data boundary and permission review, DLP and retention settings, and pilot rollout to a controlled user group before any wide release.
- Governance pack: AI acceptable use policy, human-in-the-loop rules, AI risk register and vendor assessment records mapped to ISO 42001 and the Australian Voluntary AI Safety Standard.
- Staff enablement: Role-based sessions on what to use AI for, what never to paste into it, and how to check output. Includes a short internal guide your team keeps.
- Fractional CIO support: A monthly retainer covering usage review, incident triage, vendor changes, roadmap updates and a written board or owner update.
Frequently asked questions
- We are a 40-person business. Is AI implementation even worth it for us?
- Usually yes, but only for a narrow set of tasks. The businesses that get value start with two or three high-volume, low-risk workflows — quoting, document drafting, customer triage, reporting — rather than an organisation-wide rollout. We size the work to the return.
- What does the fractional CIO angle actually give us?
- The same person who has run enterprise technology governance sits in your leadership meetings. You get enterprise discipline on data, vendors, risk and change management without carrying an executive salary.
- Is our data safe if staff use AI tools?
- Only if the tenancy is configured for it. We review data boundaries, permissions, retention and DLP before any rollout, and we set explicit rules for what may never be entered into a public tool.
- Do we need ISO 42001 to use AI responsibly?
- No certification is required. We use ISO 42001 and the Australian Voluntary AI Safety Standard as the shape of the governance so you are ready if a client, insurer or regulator asks.
- What happens after go-live?
- Most failures happen in month three, not week one. Our support retainer covers adoption review, prompt and workflow refinement, vendor updates, incident triage and a written update for your board or owner.
- How is pricing structured?
- Fixed-scope for the review and implementation phases, then a monthly retainer for support. Pricing is consultative and scoped after a discovery call.