by The Computing Australia Group | Empowering Businesses
with Intelligent AI
Artificial Intelligence isn’t a trend – it’s a capability shift. Done well, AI streamlines processes, unlocks new insights, and helps your people do their best work. Done poorly, it creates risk, confusion, and wasted spend. As a premium Microsoft partner and seasoned Managed Service Provider (MSP), Computing Australia helps you cut through the noise with a proven, business-first approach to AI adoption — grounded in strategy, security, and measurable ROI. Our expertise in Copilot AI ensures your journey starts with the right tools and a clear vision.
We specialise in Microsoft 365 Copilot rollouts and broader AI enablement across your stack. From readiness assessments and roadmap design to secure implementation, training, and ongoing optimisation, we make AI useful, safe, and sustainable for your organisation.
Why AI, and Why Now?
AI has crossed the threshold from experimentation to operational advantage. Organisations across Australia are using AI to:
- Automate repetitive work (reporting, data entry, meeting notes)
- Enhance decisions with real-time insights grounded in your business data
- Elevate customer experience with faster, smarter responses
- Improve compliance through consistent documentation and policy application
- Boost productivity across knowledge work-writing, analysis, planning, and more
However, effective adoption requires more than turning on a tool. You need clear use cases, secure data foundations, governance, and change management. That’s where we come in.
Our AI Services (End-to-End)
1. AI Readiness Assessment
Outcome: a clear picture of where AI fits, what value it can deliver, and what must be true in your environment to implement safely.
We evaluate:
- Business priorities: where AI can remove friction or create advantage
- Data & security posture: identity, permissions, M365 configuration, data hygiene
- Process fit: candidate workflows that benefit from AI
- People readiness: roles, teams, change appetite, and training needs
You receive:
- Use-case shortlist ranked by impact and complexity
- Roadmap with priorities, dependencies, and milestones
- Risk register and mitigation plan (privacy, governance, compliance)
2. AI Strategy & Roadmap
Outcome: an implementation plan aligned to outcomes, timelines, and budgets.
We help you:
- Prioritise use cases (quick wins vs. strategic bets)
- Define KPIs (time saved, quality uplift, cycle-time reduction, cost avoidance)
- Set governance controls (data access, retention, auditability)
- Plan adoption: pilots, champions, communications, training tracks
3. Implementation & Integration
Outcome: AI embedded safely into everyday work.
We handle:
- Microsoft 365 Copilot enablement (licensing, prerequisites, tenant configuration)
- Security & compliance guardrails (Entra ID, Conditional Access, DLP, sensitivity labels)
- Integration with SharePoint, Teams, OneDrive, Power Platform, and line-of-business systems
- Data preparation (permissions cleanup, information architecture, lifecycle policies)
4. Training, Enablement & Change
Outcome: confident users, faster adoption, real results.
- Role-based training (Execs, Finance, Sales, HR, Frontline, IT)
- Copilot playbooks & prompt libraries tailored to your processes
- Q&A clinics, office hours, and champions network
- Communications plan and success stories to drive momentum
5. AI-Powered Solutions
Outcome: targeted solutions delivering measurable value.
- Copilot AI for Microsoft 365: writing, analysis, meeting productivity
- Automation with Power Automate and Power Apps
- Conversational assistants for internal knowledge & support
- Predictive analytics for forecasting and planning
- Documentation accelerators for policies, SOPs, and compliance
Microsoft 365 Copilot AI: Practical Wins
Copilot AI lives where your work happens-Word, Excel, PowerPoint, Outlook, Teams, OneNote-and uses your organisational data (with your permissions) to assist in real time. Below are examples relevant to Australian businesses.
Everyday Scenarios
- Automate Reporting: “Create a weekly KPI digest from the Sales and Finance folders. Summarise trends and flag anomalies since last Monday.”
- Customer Emails: “Draft a reply that acknowledges the client’s concerns, references the last proposal, and offers three remediation options.”
- Meeting Productivity: “Summarise the last 30 minutes of this Teams meeting, list decisions, owners, and deadlines. Draft follow-up emails.”
- Policy First Drafts: “Produce a first draft of a mobile device policy using our existing Security SOPs and ISO-aligned template. Note areas needing legal review.”
Role-Based Use Cases
- Executives: briefings from multiple sources, strategy outlines, board packs
- Sales: account plans, proposal summaries, qualification checklists, call notes
- Finance: variance analyses, month-end summaries, narrative commentary
- HR: job descriptions, interview scorecards, policy refreshers, onboarding packs
- Operations: SOPs, incident reports, scheduling communications
- Marketing: content outlines, campaign recaps, competitor snapshots
- IT: change-advisory summaries, ticket pattern analysis, release notes
Tip: Pair Copilot with good information architecture in SharePoint/Teams and sensitivity labels. The right access model ensures people see only what they’re entitled to-no more, no less.
Security, Privacy & Governance by Design
Trust is non-negotiable. Our approach embeds security from day one.
- Identity & Access: Entra ID, MFA, Conditional Access, least privilege
- Data Protection: Microsoft Purview sensitivity labels, DLP, retention
- Tenant Hygiene: permission reviews, guest access policies, shadow IT reduction
- Audit & Compliance: activity logging, eDiscovery readiness, change control
- Responsible AI Use: clear usage policies, human-in-the-loop validation, escalation paths for errors or bias
We align policies with Australian privacy expectations and your industry’s obligations.
A Pragmatic 30/60/90-Day Rollout
Days 1–30: Foundations & Pilot
- Readiness assessment & roadmap
- Tenant and security pre-requisites for Copilot
- Define 3-5 pilot use cases (one per function)
- Train pilot users; launch champions network
- Baseline KPIs (time on task, throughput, quality markers)
Days 31–60: Expand & Integrate
- Iterate on pilot learnings; refine prompts and playbooks
- Broaden to 2-3 additional teams
- Introduce light automation (Power Automate) where repeatable
- Measure results; publish internal success stories
Days 61–90: Scale & Optimise
- Wider licensing based on demonstrated ROI
- Embed governance workflows, retention, and reporting
- Formalise prompt libraries by role & process
- Quarterly review and continuous improvement plan
Measuring ROI (and Proving It)
We anchor your program to clear metrics:
- Time saved per task or workflow (e.g., reporting, drafting, analysis)
- Cycle-time reduction (from request to output)
- Quality uplift (readability, accuracy, compliance)
- Employee experience (adoption, satisfaction, change readiness)
- Risk reduction (fewer permission issues, better audit trails)
A simple model:
(Hours saved × fully loaded hourly rate) − (Licensing + services + training) = Net Benefit
Track this by team and roll up quarterly.
Example Copilot AI Prompt Library (Ready to Use)
Sales
- “Summarise the last three emails with [Client] and draft a follow-up proposing a 30-minute call. Include three agenda points based on their questions.”
- “From the proposal in Proposals/2025/Q3, extract pricing, inclusions, and timeline into a one-page client summary.”
Finance
- “Analyse the P&L – July to September workbook. Explain the top five drivers of variance vs. budget in plain English.”
- “Draft board commentary for the monthly finance report in a professional tone.”
HR
- “Create an onboarding plan for a Level 2 Service Desk Analyst, referencing our SOPs in HR/Onboarding. Include a week-by-week checklist.”
Operations
- “Generate an SOP for laptop provisioning based on the current asset process and ticket notes. Present steps, owners, and expected SLAs.”
Marketing
- “Draft a blog outline on ‘Safely Rolling Out Microsoft 365 Copilot.’ Include H2/H3 headings, a FAQ, and a CTA.”
Adoption Best Practices
- Start where friction is highest. Choose tasks people dislike but must do.
- Design for the 80%. Cover the majority use case, not edge cases first.
- Short, frequent training. 30–45 minute sessions beat long workshops.
- Celebrate wins. Share before/after examples; recognise champions.
- Iterate prompts. Treat prompt libraries like living playbooks.
- Secure by default. Review permissions regularly; tighten sharing sprawl.
Risks (and How We Mitigate Them)
- Hallucinations / inaccuracies: keep a “human-in-the-loop”; train on verification steps; restrict critical outputs without review.
- Data leakage / oversharing: enforce least privilege; sensitivity labels; guest access policy; DLP.
- Shadow tools & sprawl: centralise procurement; publish approved tools; educate on risks.
- Low adoption: lead with high-value use cases; visible executive sponsorship; measure and celebrate outcomes.
Industry Snapshots
- Professional Services: faster proposal cycles, cleaner workpapers, consistent client updates
- Healthcare & Aged Care: policy drafting, patient communications templates, shift summaries (with strict privacy controls)
- Construction & Trades: site report standardisation, WHS documentation, schedule updates
- Retail & eCommerce: product copy variants, returns email automation, trend summaries
- Education & Training: course outlines, assessment rubrics, student communications
Get Started with AI Today
Whether you’re assessing fit or ready to scale, Computing Australia brings the strategy, guardrails, and hands-on expertise to deliver real outcomes-safely.
- Book an AI Readiness Assessment
- Pilot Microsoft 365 Copilot with role-based training
- Establish governance and ongoing optimisation
- Measure ROI and expand confidently
Let’s turn AI from buzzword to business advantage.
Contact us to plan your first 90 days.
FAQ
Is Copilot safe for our sensitive data?
Yes-when configured correctly. Copilot respects your existing Microsoft 365 permissions and we add controls like sensitivity labels, Conditional Access, and DLP.
Will AI replace roles?
Our programs focus on augmentation, not replacement-freeing people to do higher-value work while improving quality and consistency.
How quickly can we see value?
What skills do our teams need?
Curiosity and willingness to experiment. We supply the rest—training, prompt libraries, examples, and ongoing support.
Do we need perfect data first?
No. We start with high-value scenarios using the data you already have, then improve data hygiene in parallel.
