| CTRL What to consider | ALT Reframe with influence | DELIGHT Easy wins, ready to deploy | | --- | --- | --- | | Do you need an AI policy? Clear guidelines on acceptable use, data handling, and transparency. | Default to transparency: “Unless there’s a reason not to, let’s openly share when AI helped create this.” | Draft a one-page AI use policy for your team with AI’s help - covering dos, don’ts, and disclosure. | | Bias & Fairness: Reduce unintentional bias in AI outputs that could affect hiring, customer service, or decision-making. | Reframe AI as a co-pilot, not a threat. Position it as an assistant that drafts, checks, or supports—while humans still make the final calls. | Test AI outputs with two team members from different backgrounds to spot and correct bias before publishing. | | Data Privacy & Security: Ensure sensitive data isn’t uploaded to public AI tools and protect client/employee information. | Anchor on time saved, not tech used. Focus on the hours reclaimed for strategic work, not the novelty of AI. | Train your team to anonymise data before inputting it into AI tools, using placeholders or dummy text. | | Intellectual Property: Who owns AI-generated content, and how should teams credit or handle it? | Change the question: Instead of “Should we use AI?” ask “What’s the smartest way to use AI for this task?” | Use AI for first drafts, then apply human editing to align with brand voice and protect originality. | | Job Roles & Redefinition: Which tasks should AI support vs. which remain human-led? | Highlight loss aversion: “Competitors are already saving costs with AI—are we comfortable falling behind?” | List 3 repetitive tasks your team does weekly and choose one to trial automating with AI. | | Human Oversight: Keep a “human in the loop” for quality control and ethical checks. | Default to human + AI review. No AI output is considered final until signed off by a person. | Rotate an ‘AI reviewer of the week’ role across the team to ensure accountability. | | Transparency with Clients: Decide when and how to disclose AI use in deliverables. | Social proof through team wins. Share small success stories of AI adoption internally to normalise its use. | Add an ‘AI-assisted’ tag to early drafts so it’s clear when tools have supported the work. | | Productivity vs. Creativity: Balance efficiency gains with preserving originality and human insight. | Reward curiosity, not perfection. Encourage playful experimentation with AI tools. | Host a 15-minute “AI brainstorm sprint” where AI and humans compete to generate campaign ideas. | | Costs & ROI: Avoid tool overload by choosing wisely and measuring benefits. | Use pre-commitment nudges. Set a 30-day AI challenge to lock in learning and usage. | Track hours saved vs. subscription costs for one AI tool over a month to measure ROI. | | Accessibility & Inclusivity: Ensure AI enhances collaboration for diverse learning and working styles. | Gamify adoption. Try fun challenges like “AI vs. Human: who can draft the best version?” | Use AI to adapt one document into visual, audio, and text-friendly versions for different learners. | | Employee Training: staff so AI becomes an enabler, not a stressor. | Make training the default. Offer AI upskilling as opt-out rather than opt-in. | Add a 10-minute “AI tip of the week” to team meetings for ongoing, bite-sized training. | | Change Resistance: Manage fear, skepticism, or over-reliance on AI among staff. | Make it easy: start small. Focus on automating one simple, repetitive task first. | Trial AI meeting summaries for just one recurring weekly meeting before rolling it out wider. | | Legal & Compliance Risks: Stay ahead of evolving regulations around AI use in business. | Set visible AI goals. Example: “Our aim is to save 10 hours/month with AI.” | Use AI to generate a compliance checklist for evaluating new tools before adoption. | | Security of AI Tools: Evaluate the safety of platforms (data storage, open vs. closed systems). | Leverage status quo bias. Introduce AI within familiar workflows (email, Slack) so it feels natural. | Trial AI auto-summaries of Slack channels or email threads to reduce overload. | | Future-proofing: How today’s AI choices impact scalability and resilience tomorrow. | Future-self framing. Ask: “In 2 years, will our team thank us for experimenting early?” | Ask AI to scan industry reports and summarise 3 upcoming trends in your sector. |