Who’s accountable for your technology decisions?
Most organisations know who manages their day-to-day IT, but fewer have clearly defined plans and documentation that outline who is accountable when something goes wrong, and what to do when someone leaves.
Technology governance can be defined as the set of rules and decisions that ensures an organisation uses its technology safely and effectively to reach its goals. Governance decisions include clear determinations on what gets bought, who gets to decide, who’s accountable for it, what rules apply, and how technology and risk is managed responsibly. These decisions now include how staff use AI tools.
What This Covers
Access Control & Single Points of Failure
Reviewing who has access to what, and what happens if that person is unavailable or leaves the organisation. This is one of the most common governance gaps we see: access sits with one person, and the organisation depends on that person staying.
Cyber Risk & Preventative Planning
Genuine cyber-resilience means prevention as much as response. Most organisations focus more time on incident response – what happens after a breach – and less time on preventative measures. A governance framework gives each the weight it needs. For the practical protections themselves, see Cyber Security & Safety.
Privacy & Data Handling
Reviewing what personal information your organisation collects, whether it is all necessary, and whether the people it belongs to would be comfortable with how it’s stored and used. This matters whether or not your organisation is legally subject to Australian privacy regulations. (We wrote a blog post about Privacy Risk in Australia which may be of interest).
AI Governance & Policy
Everyone has access to free AI now, including staff at organisations that haven’t formally adopted it, so it’s important to know how your organisation is using it. A short, practical AI policy that answers a small number of specific questions properly is enough. It outlines what staff can use AI tools for and what’s off-limits, including what data can go in. AI platforms publish lengthy terms and privacy policies that most people don’t read, so knowing where that data is stored and how it’s used matters too.
The policy also covers what happens if something goes wrong, such as confidential information ending up somewhere it shouldn’t, or a decision being made on AI output nobody checked. Leadership should be able to see how AI is being used across the organisation.
If you’re looking for help setting up or automating AI tools, see AI Automation.
Documentation & Continuity Planning
Making sure technology knowledge and access are held by more than one person. Proper documentation and handover protocols mean your organisation stays in control of its own systems regardless of staff, board or committee turnover.
Clear Reporting
Translating technical risk and technology performance into plain language your leadership team or committee can act on. Good reporting gives them the detail needed to make a decision.
Proven Approach
Several years ago we worked with an organisation where concentrated administrator access and minimal documentation had left the Board with no real oversight of their own infrastructure, and then a security crisis forced the issue. The full story, including what we did and how it turned out, is in this Case Study.
For more on how these gaps typically show up, see Governing Through a Cyber Crisis.
This work is informed by AICD Foundations of Directorship training, bringing genuine governance experience to technology decisions.
Who This Suits
Boards, committees and leadership teams who want proper oversight of their technology environment. Particularly relevant for organisations with staff, board or committee turnover, or that have yet to review who controls their digital infrastructure.
This service is typically delivered through an Advisory engagement, often alongside a Current State Assessment.