Interested in AI, But Not Sure Where to Use It? Start Here.

## The Problem Isn't Awareness — It's Application AI isn't short of use cases. What's missing is **clarity**. Because most leaders are approaching this the wrong way: * Starting with tools * Jumping to solutions * Looking for quick wins Instead of asking: > **Where are we already losing time, money, or consistency?** AI doesn't create value in isolation. It **amplifies what's already there** — good or bad. --- ## Why Most AI Efforts Stall It usually looks like this: 1. Someone experiments with ChatGPT 2. A few prompts get shared internally 3. There's some initial excitement 4. Then… nothing really sticks Why? Because there's no connection between: * AI usage * Business processes * Commercial outcomes It stays as **activity**, not **impact**. --- ## A Better Way to Think About AI Don't start with: * "What can AI do?" Start with: > **"Where are we doing repetitive, manual, or inconsistent work?"** That's where AI lives. --- ## The 5-Area Opportunity Framework If you're not sure where to begin, look across these five areas: ### 1. Repetition Where are people doing the same task over and over? * Writing similar emails * Producing standard documents * Reformatting information 👉 AI thrives on repetition. --- ### 2. Bottlenecks Where does work slow down or queue? * Waiting for approvals * Chasing information * Manual handovers between teams 👉 AI can remove friction and speed flow. --- ### 3. Decision-Making Where are decisions slow, inconsistent, or experience-dependent? * Pricing * Qualification * Risk assessment 👉 AI can introduce structure and consistency. --- ### 4. Knowledge Gaps Where do people rely on "knowing who to ask"? * Internal expertise locked in individuals * Repeated questions * Inconsistent answers 👉 AI can make knowledge accessible and scalable. --- ### 5. Content & Communication Where is time spent creating or adapting content? * Proposals * Reports * Marketing content * Internal comms 👉 AI can accelerate and standardise output. --- ## The Questions That Actually Unlock Use Cases Instead of brainstorming ideas, ask these: ### Process Questions * What tasks take longer than they should? * What gets done differently depending on who does it? * Where do we rely on manual effort that could be structured? --- ### People Questions * Where are our best people doing low-value work? * What knowledge sits in individuals rather than systems? * Where do new starters struggle to get up to speed? --- ### Commercial Questions * Where are we losing margin through inefficiency? * What delays impact revenue or delivery? * Where do errors or inconsistency cost us? --- ### Customer Questions * Where is response time too slow? * Where is communication inconsistent? * What frustrates customers that we've accepted as "normal"? --- ## A Simple Exercise (Do This With Your Team) Pick one area of the business and map: 1. **What happens today (step by step)** 2. **Where time is lost** 3. **Where decisions are unclear** 4. **Where work is repeated** Then ask: > "If this was designed from scratch today, would we do it this way?" That's your starting point for AI. --- ## What You'll Notice Quickly * The opportunities are already there * They're usually operational, not technical * They don't require complex solutions And most importantly: > **You don't need dozens of use cases — you need a few that actually matter.** --- ## The Mistake to Avoid Trying to "do AI" across the whole business at once. This leads to: * Scattered efforts * No ownership * No measurable impact Instead: * Start with 1–2 high-value areas * Solve properly * Build from there --- ## Where AI Actually Delivers Value Not in: * Fancy demos * One-off prompts * Disconnected tools But in: * **Structured processes** * **Repeatable workflows** * **Clear business outcomes** --- ## What This Means for Leaders Your role isn't to understand the technology in detail. Your role is to: * Identify where the business is inefficient * Create clarity around priorities * Ensure solutions tie back to outcomes AI is just a lever. --- ## Final Thought If you're unsure where AI fits in your business, that's not a weakness. It's a sign you're asking the right question. Because the answer isn't: > "Where can we use AI?" It's: > **"Where are we already working harder than we need to?"** That's where the opportunity is. --- ## Suggested Actions * Identify one process that feels inefficient * Map it with your team (start to finish) * Highlight repetition, delays, and inconsistencies * Explore where structure or automation could help * Start small — but solve it properly