Why We Built C2Creview's Cost Transparency Standard

The problem we kept running into

"We built C2Creview because AI vendor quotes were becoming impossible to compare. One agency's '$50,000 AI feature' included data cleanup and monitoring; another's excluded both and ballooned three months in. When 60% of projects overrun their original estimate, the problem usually isn't the agency's competence — it's that buyers never saw the full scope going in.

"We watched this play out across every category we cover, not just AI. A client comparing two web development quotes, or two mobile app development proposals, was often comparing apples to oranges without realizing it — one quote scoped for three months of post-launch support, the other scoped for none. AI just made the problem more visible, because the cost gap between a corner-cut quote and a properly-scoped one is so much larger."

What the transparency standard actually asks for

"Our review standard asks agencies to document what's included, what isn't, and what year-two costs typically look like. Specifically, we ask agencies applying for top-leaders status to disclose whether their standard AI proposals separate build cost from maintenance cost, whether they run a data-readiness assessment before quoting a fixed price, and how they've historically handled scope changes mid-project. Given that data preparation alone can consume 30 to 60% of a project's total cost, an agency that can't speak clearly to how it handles that phase is an agency we ask more questions about before listing them prominently.

"That's the same transparency we want for mobile app development, advertising, and every other category we cover — not just AI. We'd rather a client find out the real number from a verified review than from a change order six months into the build."

Why we think this matters more in 2026 than it did a year ago

"The stakes are higher this year because the dollar amounts are higher and the failure modes are newer. Gartner estimates 40% of agentic AI projects will be cancelled by 2027, and in almost every case we've reviewed, the root cause traces back to scope, not technology — a team commissioned an ambitious multi-agent platform before proving value on a single workflow, or nobody budgeted for the compliance layer a regulated industry requires. We think a review platform's job, in a market moving this fast, is to surface that pattern before a buyer signs a contract, not after.

"We're also watching the talent market closely, because it's reshaping quotes in ways buyers don't always see. AI and ML specialization now carries a 12–30% premium over standard development rates across essentially every region we track, and the true loaded cost of offshore engineering often runs 1.4–1.8x the advertised hourly rate. Two agencies can quote wildly different numbers for what looks like the same project, and both can be honest quotes — the difference is where the team sits and how the agency accounts for ramp-up and management overhead. We want our reviews to help buyers understand that difference, not just compare bottom-line totals."

What surprised us most building this standard

"Honestly, the biggest surprise wasn't finding agencies that padded quotes — that's rare, and most of the agencies on our platform are trying to do right by clients. The surprise was how often a client and an agency both walked away from a project unhappy over a misunderstanding that a single upfront document could have prevented. A client assumes 'AI development' includes a year of maintenance because that's how their last software project worked. An agency assumes the client understands maintenance is billed separately because that's industry standard for AI specifically. Neither side is being dishonest. They're just not speaking the same language yet, because AI pricing conventions are still young enough that there isn't a shared default the way there is for, say, a standard website build.

"That's really what our transparency standard is trying to fix — not catching bad actors, but giving both sides a shared vocabulary before the contract gets signed. In verticals like healthcare, where projects can run from $25,000 to $500,000 or more depending on compliance scope, that shared vocabulary matters even more, because the gap between a well-scoped project and a poorly-scoped one isn't a rounding error — it's sometimes a difference of hundreds of thousands of dollars."

Why we ask agencies to talk about failure, not just success

"One thing we changed in our review standard this year: we now explicitly ask agencies to describe a project that didn't go to plan, not just their best case studies. With Gartner projecting 40% of agentic AI projects will be cancelled by 2027, an agency that's delivered real AI work has almost certainly had a project go sideways at some point. The ones who can talk through what happened, what they learned, and what they changed afterward are, in our experience, the ones we trust most with a client's budget. The ones who insist every project has gone perfectly are the ones we look at more closely."

An invitation

"Visit why-c2creview to see the standard behind every listing, or check /agency/signup if your agency wants to be evaluated against it. And if you're a buyer who's been through this — a quote that ballooned, or an agency that scoped it right from the start — consider writing a review. That's the data that actually helps the next buyer avoid the sticker shock we built this platform to prevent."