A customer requesting a quote doesn't just compare price, but also how long they have to wait. On projects with a short decision window, the supplier who responds within a day has the advantage, regardless of what that quote actually contains. Quote speed is therefore not just a service feature, it's a filter with which customers pre-select who still gets to be part of the comparison.
What lies behind that speed differs sharply per company. At one company, it's a salesperson looking up calculations, digging through price lists and filling in a template. At another company, that process is largely automated: specifications are read in, prices calculated, and all that remains is a check-in moment for someone to approve or reject the outcome with a reason.
Assembling a quote consists of a number of steps that can be distinguished by what they require:
The first two steps are largely calculation work and lookup work. That is exactly the kind of task AI systems score well on: structured input, fixed rules, repeatable outcome. The last step, the assessment in deviating situations, remains dependent on someone who knows the context and takes responsibility for the outcome. That changes less, and where it does touch on decisions about personnel, its own legal requirements apply there.
Whether a company has already automated those first two steps does not depend on the sector but on how the work was organized before AI came into the picture. A company whose price structure is already captured in a system, with clear rules and few exceptions, can have that step taken over relatively easily. A company whose pricing lives in the heads of experienced employees, with many verbal considerations, first has to make that work visible before there is anything to automate.
That explains why two companies in the same market score completely differently on quote speed, while being comparable in size and offering. One company has already used the freed-up hours of the calculation department to respond faster and to more requests. The other company still works with the same staffing as five years ago, and quote speed there is still a matter of how many people are available that week.
As long as quote speed was a staffing question, a customer could assume that a fast quote said something about a supplier's capacity: enough people, enough priority. If the speed mainly comes from automated calculation work, that same speed no longer says anything about that. Two suppliers can respond within an hour while one does so with a team of ten and the other with a system and one reviewer.
That changes what a customer should actually pay attention to. Speed alone is then no longer a distinguishing feature, because it is within reach for everyone who has automated the calculation work. What becomes distinguishing is the quality of what happens with deviating requests, and how reliable a quote is that came about so quickly. For that other side of the same comparison, see what AI is changing in the competition on error margin, because a fast quote that has to be revised afterward ultimately gains nothing.
Quote speed is not separate from other dimensions on which companies distinguish themselves. Those who quote faster often do so based on a pricing model that has already been laid down elsewhere, see what edge AI delivers on price. And the promise contained in a fast quote, about delivery time or quality, is only worth something if it is also kept: see what edge AI delivers on delivery time and what edge AI delivers on quality. Anyone wanting to know whether a competitor has actually automated their speed or is still working with extra people can sometimes read something into that from how that competitor recruits, see what a competitor's job postings reveal about their way of working.
The underlying question, which work in this specific company can genuinely be taken over by AI, cannot be answered in general terms and is answered per task with the work scan from FTE TO AI.
Before investing in faster quotes, it's important to know whether speed in your market is still a claim that holds up, or whether competitors have already overtaken it. See how to test whether a distinguishing capability really exists for the way a claim about speed, price or quality can be distinguished from an assumption.
The free dimension check lets you name where you believe you win, and shows which of those claims can be defended with evidence. The full benchmark, with your position and that of your peer group on all the dimensions that decide deals in your market, is under construction.