Most AI platforms charge by the token. Every word you type, every document you analyze, every draft the AI generates — all of it adds up on a meter running in the background. For consumer applications, this model makes sense. For government procurement software, it creates a problem that goes far deeper than the invoice.
When users know they're being charged for every AI interaction, they self-censor. They ask shorter questions. They skip the follow-up. They don't run the document through AI review if it's "probably fine." The tool that was supposed to save hours ends up being used sparingly — because nobody wants to be the person who blew the AI budget in October.
That's the opposite of what AI-powered procurement software should do.
Per-token pricing creates a specific set of problems for government agencies that don't exist in the same way for private sector customers.
Budget unpredictability. Government agencies operate on fixed appropriations. A software line item that varies month to month based on how much staff used the AI is difficult to plan for and nearly impossible to justify in a budget request. Contracting officers and program managers need to know what they're paying before they commit — not after.
Usage inequality across teams. In a per-token model, heavy AI users generate higher costs. This creates an incentive to restrict access — limiting the tool to a small group of power users rather than rolling it out broadly. The result is that the staff who could benefit most from AI assistance (CORs and program officers who are less experienced with acquisition writing) often don't get access to it.
Chilling effect on quality. The highest-value AI interactions in procurement are the iterative ones — drafting a PWS, reviewing it against FAR requirements, revising based on feedback, running it through another pass for compliance issues. Each of those passes costs tokens. Under a per-token model, a thorough AI-assisted document review is meaningfully more expensive than a quick one. Users optimize for cost rather than quality.
ArcSuite AI includes unlimited AI usage in flat per-user pricing. There is no token meter. There is no AI usage cap. There is no additional charge when a contracting officer runs a 50-page solicitation through the AI review function, or when a COR iterates through seven drafts of a PWS with AI assistance, or when a manager asks the platform a dozen natural-language questions about their contract portfolio in a single afternoon.
We made this choice intentionally — because we want users to get everything out of the AI that it can offer. The value of AI in procurement is not in one clean interaction. It's in the cumulative effect of dozens of small interactions over the course of a procurement: a compliance check here, a drafting assist there, a policy question answered in seconds instead of a 20-minute regulation search.
That value only materializes if users actually use the tool — without hesitation, without rationing, without worrying about what it costs to ask one more question.
Unlimited AI in a flat price only works if the system underneath is disciplined about when it actually calls a model. The core engineering principle behind ArcSuite AI is straightforward: use deterministic code for anything that doesn't require language understanding, and reserve AI for the tasks that genuinely need it.
That distinction matters more than it sounds. A lot of "AI-powered" software routes nearly everything through a language model — including work that has a single correct answer no model is needed for. Every one of those calls consumes tokens and adds latency, and it's a big part of why some platforms have little choice but to meter usage: their cost scales with every interaction.
ArcSuite is built the other way around. The work that has one right answer is done in code:
AI is reserved for the parts of procurement that actually involve language and judgment: drafting a PWS or requirement, reviewing a document against FAR requirements, answering a natural-language question about your portfolio, or matching a company's capabilities to an opportunity and explaining the fit. Those are the tasks where a model earns its keep. Much of the platform never touches one.
To be precise about what this is and isn't: AI still costs us money every time a model runs — we're not claiming otherwise, and there's no trick that makes tokens free. What we've done is make sure a model only runs when it's the right tool for the job, rather than as a reflex. That keeps our AI footprint lean enough that we can include it in a flat per-user price instead of passing a meter on to you. The engineering discipline is what makes the pricing choice sustainable.
There's a quieter trend running alongside the rising bills. As costs climb, some companies are routing workloads to Chinese models like DeepSeek and Qwen, which can run several times cheaper per token than U.S. frontier models. For a commercial startup, that's a rational cost decision.
For a federal contractor, it isn't on the table. Agencies restrict or outright prohibit Chinese AI models on anything touching government work — for the same reasons they restrict Chinese-made hardware and telecom equipment. So the cost pressure squeezing every enterprise right now lands on government contractors differently: you can't shop your way to a cheaper foreign model, and you can't ration a tool your team needs to do the job.
We built ArcSuite AI around that constraint. The models that do the reasoning are American — Anthropic's Claude, run on U.S. cloud infrastructure — and the supporting components are chosen the same way. Combined with the code-first architecture above, that's how we keep AI both compliant for government use and lean enough to include in a flat price, without reaching for a cheaper foreign model to make the economics work.
For agencies evaluating AI-powered procurement tools, the token question is worth asking explicitly. When a vendor quotes you a per-user price, ask:
The answers tell you two things: whether the tool was built for high-volume, everyday use — or to be rationed and billed accordingly — and whether it's even eligible to run on government work in the first place.
"A reliable thought partner and efficiency multiplier for administrative and analytical contract oversight."
— Contract Manager / COR, IRS · On using ArcSuite AI dailyA-Frame Solutions was founded by former federal Contracting Officers. We built ArcSuite AI because we understood, from the inside, how much time procurement professionals spend on tasks that AI can handle better and faster. We also understood the culture of government procurement — where resources are constrained, where every expenditure is scrutinized, and where tools that create budget uncertainty don't get used.
The decision to include unlimited AI in flat pricing wasn't a marketing choice. It was a product choice. We want a COR who has never written a PWS before to be able to use the AI as many times as they need to get it right — without anyone in the budget office noticing a spike in the AI line item. We want a contracting officer to run every document through the AI review function as a matter of standard practice, not as an occasional luxury.
When the AI cost is zero per interaction, the question shifts from "should I use AI for this?" to "why wouldn't I?" That's the shift we're trying to enable.
If you're evaluating AI-powered procurement tools and want to understand exactly what's included in ArcSuite AI's pricing — and what isn't — we're happy to walk through it directly. No ambiguity.
Flat per-user pricing. Unlimited AI. No token meter. Available on GSA Schedule and PSA cooperative.