Managing AI Risk in the Workplace |
Melbourne
| 21 May 2026

Everyday failure modes: what goes wrong at the desk
The common problems people run into with AI platforms at work: confident errors, invented “facts”, shallow reasoning, bias, and over-trust.

Practical checks and safeguards: how to make AI more reliable
Straightforward controls that fit real workflows: review steps, source checks, checking numbers and claims, when to slow down, and simple “quality checks” that lift reliability without slowing everyone down.

Data, privacy and IP: what to share and what not to
Clear rules of thumb for handling confidential or client material, common everyday slip-ups, and practical guidance on copyright and IP risks in AI-assisted writing, summaries and reuse.

Quality and brand: avoiding generic AI output
How to stop work becoming bland and samey as AI use increases: keeping the right voice and tone, using examples and style guides, iterating properly, and defining what “good enough” looks like.

Adoption and capability risk: what happens inside teams over time
Why AI rollouts stall (hesitation, resistance, quiet “shadow use”) and how to fix it. Tim also covers capability drift — relying on AI too much, letting first drafts become the standard, and how uneven practices can widen performance gaps across a team.

Responsible use: what it looks like in practice
Practical expectations for responsible use: accountability, transparency norms, content safety boundaries, and a sensible view of broader impacts.

Why this matters

AI platforms are already being used in most workplaces — even if it’s not official. The real risk usually isn’t one dramatic incident; it’s a steady build-up of smaller issues: people acting on shaky output, accidental oversharing, quality slipping, and inconsistent use across teams.

This program helps you get ahead of that. You’ll leave with a clear understanding of the risk landscape, plus practical mitigation habits and team norms you can apply immediately — so you can scale AI use with confidence, protect the business, and get better adoption and outcomes.