Cheap vs expensive AI consulting

Price in this field is set mostly by who the firm is set up to serve, not by how good the work is. A firm built for large organizations charges accordingly because their cost structure requires it, and that has almost nothing to do with whether their advice suits you.

So the useful question is not cheap or expensive. It is what the difference buys.

What a higher price often does buy

Seniority on your project. The most legitimate driver. Experienced people cost more and the difference shows in what they choose not to do.

Having seen your failure mode before. Somebody who has run twenty of these knows which processes look automatable and are not. That pattern recognition is the product, and it is genuinely worth paying for.

Time spent on the unglamorous parts. Escalation logic, edge cases, testing against your awkward real examples, what happens when a source system changes. This is where most of the real effort goes in good work and where cheap engagements economize, because none of it shows in a demo.

Capacity when something goes wrong. A larger firm has somebody else available. A one-person supplier does not, and if they are unavailable in a bad week you wait.

What it often does not buy

Better judgment about your specific business. Not correlated with price. Frequently anti-correlated, because expensive firms are structured around a methodology that gets applied to everybody.

Faster delivery. Larger firms are usually slower. More coordination, more internal review, more people to brief.

Suitability. A firm built for enterprise engagements gives a small company a junior team working from a template. You are paying enterprise rates for the least experienced version of their work, which is the worst trade available in this whole discussion.

Certainty. Nobody can promise a specific result before looking at your operation, at any price.

When the cheap option is correct

Several situations, and they are common.

When you already know what to build. Then you are buying construction, and construction is a more commoditized skill than diagnosis. Pay a fair rate and stop.

When the work is small and contained. A single automation at the edge of your operation does not need a firm with a research division.

When you want a second opinion on a plan you have. An hour of a good person's time attacking your assumptions is the highest-return spend in this field and it is cheap.

When you are testing whether you can work with somebody. Buy the smallest thing that produces evidence.

The genuine risk at the bottom of the market

Two specific ones, and they are not "the work is worse".

The resold subscription: a substantial fee for an off-the-shelf tool configured in an afternoon. The tell is refusal to say which platforms the thing is built on. How that works.

Nothing designed for failure. Cheap builds work in the demo and fall over on the case nobody anticipated, because escalation design and testing are the first things cut when the price is squeezed. You find out in front of a customer.

The risk at the top that nobody mentions

The document nobody can act on.

Expensive engagements produce impressive artifacts, and impressive is not the same as executable. If the deliverable requires the author present to be useful, or if it recommends a transformation programme rather than three things to do in ninety days, you have bought something that will sit in a shared drive.

Apply the same test regardless of price: could a competent third party execute this without them? The deliverable checklist.

How to compare two proposals

Ignore the totals for a moment and line up four things.

What you physically own at the end, described as artifacts rather than intentions. Who specifically does the work, by name. What it costs to run per month after it is built. And what happens when the system does not know something.

Differences on those four explain most price gaps honestly. If two proposals are identical on all four and different on price, take the cheaper one. If the expensive one is better on the third and fourth, it is probably worth it, because those are the items that determine whether the thing survives contact with your customers.

Where we are

Small firm, senior attention, fixed fee for the diagnosis so your exposure is known before you have evidence about us. We are cheaper than a large consultancy and we have a short track record, and both of those are true at once. What that means for how you should judge us.

The reason we do not publish figures is that a number without your context is marketing: two companies asking for the same roadmap can be weeks apart in effort depending on how their data sits. How the engagement is structured, and where overpaying happens, which is scope rather than rate.