AI for Business

A director of operations writes a memo to leadership recommending a change to the company’s vendor management process. She asks AI to help draft it. The result is thorough: context section, problem description, analysis of current process, proposed solution, implementation…

A CEO prepares her quarterly board presentation using AI to help structure the deck. She provides her financial metrics, team updates, and product progress. The output is a clean reporting deck: revenue dashboard, burn rate, headcount, OKR progress, key hires,…

A founding team uses AI to help build their annual strategic plan. They provide their mission, their revenue goals, and a list of priorities they have discussed. The output is a well-formatted plan: objectives, key results, strategic pillars, quarterly milestones…

A startup’s strategy lead asks AI to produce a competitive analysis for their project management tool. The output maps five major competitors across ten dimensions: pricing, features, target market, integrations, reviews, funding, team size. The analysis is accurate and well-organized…

A product team asks AI to produce a market research report on the customer service software space before a major product decision. The output is thorough: market size, key players and their positioning, growth trends, customer segments, competitive landscape. The…

A freelance brand strategist sends out three proposals a month. She uses AI to help write them. Each one is beautifully structured: executive summary, understanding of the brief, proposed approach, timeline, investment, about the strategist. The proposals are professional and…

A team lead wants to make the case for hiring a dedicated data analyst to reduce the time her team spends on manual reporting. She asks AI to help write the business case. The output is well-organized: executive summary, problem…

A startup’s head of people uses AI to write a job description for a Head of Marketing hire. She provides the role title, a list of responsibilities, and a list of required qualifications. The output is professional, comprehensive, and reads…

A sales development rep is sending outbound emails to a list of 200 marketing directors at mid-size e-commerce companies. He asks AI to write a cold outreach email for his email automation platform. The output is professional, benefit-led, and correctly…

A founder preparing for seed fundraising uses AI to help structure her pitch deck. She provides her business description, target market, revenue model, and traction metrics. AI produces a thirteen-slide deck with all the expected sections: problem, solution, market size,…

A product manager sends out a meeting invite for the weekly team sync with an AI-generated agenda: “1. Updates from each team (15 min) 2. Review blockers (10 min) 3. Q3 roadmap discussion (20 min) 4. Any other business (5…

A manager sits down in December to write performance reviews for her six direct reports. She is behind, she has back-to-back meetings, and she asks AI to help. She provides each person’s name, their role, and a few bullet points…

A founder preparing for investor conversations asks AI to help with market research for his startup. He asks for the market size, the key trends, and the main competitive dynamics in his space. What comes back is confident and comprehensive:…

An agency director asks AI to draft a proposal for a new client engagement. He feeds in the project scope, his agency’s methodology, a description of the deliverables, and the proposed timeline. The proposal comes back professional and well-structured. The…

A product manager asks AI to analyze the competitive landscape for her company’s project management software. The output is thorough: a categorized list of major competitors, a comparison of feature sets, a summary of each competitor’s positioning, and a conclusion…

A startup founder needs to hire a head of growth. She asks AI to write the job description. What comes back is clean and professional: a paragraph about the company, a list of responsibilities that covers all the expected growth…

A sales director preparing for the most important pitch of his quarter asks AI to help him build the narrative. He describes the product, the key differentiators, the pricing model, the implementation timeline. The output is polished and persuasive —…

You asked AI to help you prepare for an important meeting. It gave you a structured list of talking points about the subject matter — accurate, comprehensive, and almost entirely beside the point. You already understood the subject matter. What…

You asked AI for a content strategy. It gave you twelve content pillars, a suggested posting cadence for three channels, and forty topic ideas organized by theme. You looked at the list and recognized nothing specific to your brand, your…

You asked AI to help draft the significance statement for your grant application. It produced two paragraphs about the importance of research in your field — accurate, well-constructed, and indistinguishable from what any researcher in any adjacent area could have…

You asked AI to help you think through a strategic decision. It gave you a balanced list of considerations — market opportunity, competitive dynamics, resource requirements, risk factors. The kind of thing anyone could generate by thinking about it for…

You can tell immediately when content was written by an AI that wasn’t properly briefed. The sentences are technically correct. The structure is logical. But there is no voice, no specific audience awareness, no sense that anyone who knows anything…

You asked AI to help you think through a market entry strategy. What came back was a list of considerations any MBA textbook would include. You already knew all of it. What you needed was someone to think through your…