What should a firm compare before choosing?
Most decisions about AI in a professional services firm come down to a handful of forks. Build it yourselves or bring someone in. Buy a product or have something made. Train people or change the job. Add headcount or take work away. Act this quarter or wait. Each page below takes one fork and lays the options side by side on the same questions: how the cost is structured, how soon anything changes, where the risk sits, who owns the result and what is left behind when the work is finished.
They are written to help you decide, not to steer you to us. Where a different route fits your firm better, the page says so.
Should a firm use an AI consultant or build an in-house team?
When to bring in an AI consultant and when to build the capability yourselves: cost structure, speed, risk and control compared, with a fair verdict.
Is a custom AI build or off-the-shelf software better for a firm?
When a packaged AI product is the right answer and when a process built around your own templates is: cost, fit, risk and ownership compared plainly.
Should a firm pay for AI training or AI implementation?
Training teaches people to use AI tools. Implementation changes how a job is done. When each is worth paying for, and why firms often buy the wrong one first.
Should a firm automate a process or hire more staff?
How to decide between another hire and rebuilding the job that is swamping your team: how each is costed, how fast each helps, and when hiring wins.
How do you compare AI consultancies?
Four kinds of AI provider sell to UK firms: roadmap sellers, trainers, software resellers and build partners. What each delivers and when each is right.
What does it cost a firm to do nothing about AI?
Waiting is a real option for some firms. When holding off on AI is sensible, when it quietly costs you, and how to tell which applies to your firm.