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The AI Roadmap Interview, and what we have been writing lately.
Recent articles
- A simple task audit that shows you exactly where the selling hours go Sales reps lose roughly a day a week to admin. This task audit helps heads of sales find the one workflow eating the most hours and fix it first.
- The first move for consulting firms: research synthesis and report first-drafts Consulting directors advise clients on AI adoption daily but haven't run it in their own practice. Here's the concrete first move to fix that.
- How to cut through the vendor noise and pick the AI that actually moves your pipeline Revenue leaders ask which AI is best for sales. The answer isn't a vendor name. It's one evaluation criterion that cuts through the noise every time.
- Before You Approve the AI Department Budget, One Question Worth Asking First Chief change officers at 200-plus-staff businesses are signing off on AI headcount before proving what the function should do. One question changes that.
- Five Signs Your Firm Is Falling Behind on AI Five concrete signs a law firm is falling behind on AI, written in the language of matter-file pain that principals and managing partners already recognise.
- AI needs continual integration and optimisation to keep improving your business, and most of the people selling it won't be there for that part. A fixed-scope AI project delivers a result, then leaves. Here's why AI requires continual optimisation to keep working, and what a Technology Partner does.
- You don't know where to start with AI, dont' worry no-one else does either. No IT person, no clear starting point, no time to work it out. Here's why that's not a gap you fill by hiring, and what to do instead.
- You AI Agents wont work without the right context AI agents stall on questions that run across several internal documents. Mapping how your data connects is what makes those answers reliable.
- Your AI Agent Needs A Position Description, Not A Name New HBR research shows calling an AI agent an employee lowers review quality and blurs accountability. Give agents a scoped role instead.
- Most of What Your Business Knows Was Never Written Down The next gains from AI come from the context you feed it, not the model you pick. Most of that context is still sitting in your team's heads.