We start by reviewing your institution’s digital strategy, enterprise architecture, and AI governance frameworks. We then map our delivery to support existing policies and strategic priorities.

That includes ensuring alignment with data security, risk, and ethics policies, and collaborating with your CIO, COO, and data governance leads to avoid duplication or misalignment. Our deployments support existing steering committees and working groups to make sure AI capability is built within your existing structure.

All training and tools comply with the Australian Privacy Principles and sector-specific academic integrity policies. We use anonymised or dummy data for demos and provide templates and prompts that model best practice for citation, authorship, and disclosure. Where relevant, we help teams implement audit trails and transparent outputs.

Our default approach is privacy-first, with no persistent external data storage and all automation performed inside your institutional environment.

We design all training and automation to run inside your existing environment using native tools. That means leveraging Outlook, Word, Excel, SharePoint, Teams, and Copilot (for Office 365 and Azure), or Gmail, Docs, Drive, and Gemini (for GCP).

We use no third-party integrations, and there’s no need to manage tokens, API layers, or new security exceptions. This reduces support complexity and keeps IT in control of data, identity, and change management.

We measure savings using baseline task data, user self-reports, workflow audits, and in some cases screen recordings (where permitted). Each team defines 3–4 common tasks at the start, then we time and test the pre- and post-AI workflows. Many users report 5+ hours saved within the first week, with larger savings over time as automation scales. Our methodology is consistent, auditable, and tailored for COO-level reporting.

None. We assume zero prior AI exposure and build confidence from the ground up using practical, role-relevant tasks. Each session includes step-by-step walkthroughs inside familiar tools and workflows.

For more advanced users, we offer optional pathways, but the core experience is designed for broad staff participation across operational, academic, and support roles.

It’s fully scalable. We’ve supported institution-wide deployments across faculties, research offices, admissions, marketing, IT, student services, and legal.

The modular structure means you can start with one team and expand progressively. All content is aligned to shared systems and delivery rhythms, so teams can build capability in parallel without losing consistency.

In almost all cases, no. We work entirely within your current platforms and permissions. Where advanced use cases require access to Copilot, Gemini, or other AI layers, we advise early. But we deliberately avoid introducing any new systems, servers, or API billing risks — our approach is designed to avoid integration debt or licensing creep.

We only use tools that are already governed within your identity and access management structure. All data used in examples or workflows stays in-region and within your systems.

If needed, we can support MFA, access control, and audit requirements. Nothing is stored or processed externally unless explicitly agreed in writing.

We track time saved, task completion rates, AI task adoption, and qualitative impact across individuals and teams.

At an institutional level, we support reporting on FTE efficiency, operational throughput, and workflow automation rates. These can be used for executive dashboards or budget justification for expanded AI capability.

Yes. We’ve worked with UTS, Uni Melbourne, ECU, WSU, and others, and can provide examples showing task-level savings of 80–90% and up to 30 days saved per FTE over six months. These case studies are available under NDA and focus on practical operational outcomes, not vague productivity claims.

All participants receive post-training access to updated templates, walk-throughs, and use-case libraries. We also offer office hours, follow-up coaching, and Slack or Teams channels to support adoption. For larger deployments, we can provide internal champion training and help desks to reduce load on central IT.

Yes. We customise all sessions by role and function. For example, research admins get grant and ethics workflows, admissions teams get comms and enrolment flows, and finance teams get reporting and compliance tasks. Every module is built to fit the user’s existing tools and workflows.

None by default. We run all training using simulated data inside your tools, and any automation remains within your internal cloud platforms. If a specific task needs external processing (e.g. ChatGPT API), this is optional, transparent, and governed via your own tenancy.

Yes. Our templates and practices are designed to meet ISO 27001, NIST, and university-specific standards. All scripts and tools are versioned and auditable. We also support integration with your cybersecurity or compliance teams for sign-off where required.

We configure all tools using your existing permissions and security policies. That means setting up Copilot or ChatGPT to work within tenancy boundaries, logging use, and restricting outbound access if required. We also train staff to use these tools with guardrails — including data handling, disclosure, and oversight practices.

We’re considerably more cost-effective. Our formats start from $299 for self-paced modules, $1.5K for targeted sessions, and $5K–$8K for larger team boot camps. Unlike traditional consulting, we guarantee measurable ROI within one week — or we refund in full. Pricing is transparent, modular, and designed to avoid bloated statements of work.

Yes. You can mix and match formats — for example, pair a live boot camp with self-paced follow-up, or run concurrent tracks for research and ops teams. We support flexible timetables and delivery formats (hybrid, online, or in person) to reduce time away from BAU.

Yes. We’re registered with several panels and in the process of onboarding with others. If we’re not on your list yet, we can supply vendor info, security docs, and references to fast-track registration.

All content is reviewed monthly and updated quarterly in line with product releases from Microsoft, Google, and OpenAI. We also incorporate sector-specific trends (e.g. TEQSA, integrity guidelines, AI steering updates) into our use cases. Clients get ongoing access to updated workflows.

We’re currently piloting agentic AI (autonomous workflows) for reporting, compliance, and student communications. These are being tested in production environments and will be offered to partner institutions through our advanced track. The goal is to move from assisted workflows to full task delegation by Q3 2025 — starting with low-risk, high-volume tasks.