Microsoft 365 Copilot · Aeris Networks
AI Readiness
Workplace Assessment
Secure AI. Leverage AI. A one-hour expert session that shows where your organisation is ready, where it is exposed, and where the value is.
AI Readiness Scorecard
Overall readiness
Strong foundation with some high-priority areas to address.
Illustrative example based on industry benchmarks and best practice.
80%+
of leaders cite data leakage as their top AI concern
70%+
of knowledge workers bring their own AI tools
6%
net revenue growth reported by SMBs using Copilot
20%
lower operating costs reported by SMBs using Copilot
Sources: First Annual Generative AI Study: Business Rewards vs Security Risks, ISMG Q3 2023. Microsoft Data Security Index 2024. Microsoft Work Trend Index 2025.
The problem
Your people are already using AI. The question is whether you can see it.
Staff have found AI tools on their own and are pasting company information into them. Leadership is being asked for an AI strategy. Somewhere in between sits a licence purchase nobody is sure is paying off.
Most assessments look at security or at value. We look at both, and we measure both.
Put the right controls around AI so it's safe to use, then help your people get real value from it.
Hello, World!
What we assess
Two halves of the same problem
AI Assurance
The controls that make AI safe to use
- Stop Shadow AI. Block or broker unsanctioned AI apps so company data stays inside.
- Contain oversharing. Fix permissions and site governance before Copilot finds them.
- Prevent leakage. DLP across endpoint, browser, email and SaaS, including prompts.
- Prove it. Audit, eDiscovery and insider risk for every AI interaction.
- Know your data. Sensitivity labels so Copilot only surfaces what it should.
- Set the rules. Acceptable-use policy, agent governance and user training.
AI Advantage
How AI turns into measurable business outcomes
- Start with the work. Map the tasks, handoffs and reports that eat your people's week.
- Three ways to work. Transactional, Efficient and Transformative, matched to the task.
- Adoption, not licences. Champions, use-case libraries and role-based training.
- Build, don't just chat. Reusable agents and skills that capture how you work.
- Data as the asset. Fabric and Power BI turn operational data into decisions.
- Measure the return. Hours returned, cycle time and adoption, reported quarterly.
Three ways to work
AI helps your team in three ways
The same person may use all three in one day. Our job is to make all three work across your organisation.
01
Transactional
Copilot Chat
Individual productivity, one prompt at a time. Draft, summarise, search and catch up, grounded in your own organisation's data.
Value: Minutes back per person, per day.
02
Efficient
Agents & Skills
Repeatable work, done once and reused. Agents capture your process, from reporting to onboarding, so the output is consistent whoever runs it.
Value: Whole processes compressed.
03
Transformative
Fabric · Power BI · Copilot
Decisions change. Your data is unified and conversational, so leaders ask questions in plain language and act the same day.
Value: Better decisions and new capability.
In the session
Five questions we'll work through together
Have you started using AI, and how well is it working?
Where could sensitive data be leaving your organisation today?
How do your people collaborate, especially remotely?
Which apps do you use, and do they work well together?
Is your current licensing model causing problems?
Can't answer all five with confidence? That's exactly what the assessment is for.
The journey
Where the assessment leads
Discover
Data security check and an AI readiness baseline.
Secure
Labels, DLP, oversharing and Shadow AI under control.
Adopt
A pilot group, champions and role-based training.
Scale & Measure
Agents, Fabric and quarterly value reporting.
The assessment is step one. You'll finish it knowing exactly what steps two, three and four look like for your organisation.
Why Aeris Networks
Microsoft specialists, based in Perth
We work with organisations across mining and resources, education, aged care, not-for-profit and financial services. Distributed teams, tight compliance obligations, and leadership asking hard questions about AI. We'll tell you what we find, including the parts you may not want to hear.
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