CompletionPrism™: Optimize Work, Not Tokens.

CompletionPrism™ picks the right AI model for every step of the work, across every provider you approve, so it gets finished at the lowest total cost: tokens plus the human rework a wrong answer causes. Patent pending. Start with a two-week shadow baseline.

Patent Pending. Every wrong AI answer has a labor cost attached.

What CompletionPrism™ Does

The expensive part of AI is not the token bill. It is the labor cost of fixing the answer when the wrong model was used. CompletionPrism™ picks the right model for every step, across every provider you approve, including Anthropic, OpenAI, Google and xAI, so better work gets done at optimal cost. Before each step is sent it works out what it will cost to finish that piece of work on every approved model, counting the attempts it will take and the person's time, then runs it on the cheapest path that still holds quality: route down, route up, stay, or stop.

The Problem: The AI Invoice Counts the Wrong Thing

Providers charge per request. Work is done per task, and a task takes as many attempts as it takes. Capped to a cheap model, one hard task took four attempts for $0.12 plus one hour of human rework at $100.00, a real cost of $100.12. The right model, first try, cost $0.20 in tokens with no rework, so the more expensive model was far cheaper overall.

$644B worldwide spend on generative AI in 2025, up 76% in a year (Gartner)
31% average overspend against AI budgets in 2026
Only 26% of enterprises can see in real time what their AI costs
60% of agentic AI cost goes on retries and refinement

Three Ways CompletionPrism™ Delivers Value

The right model, every step: every step runs on the model that finishes it cheapest at the quality you need, and new models are priced and used as soon as they win.
No vendor lock-in: switching AI providers becomes a configuration change. People keep the same workspace and nobody is retrained.
Operational resilience: when a model goes down, the work moves to an approved model that is up.

The Evidence

In a controlled test inside Claude Code, routing each step to the right model passed 100% of quality checks twice against 94.4% for one model throughout. Model calls cost 18% more, rework fell to zero, and the total cost to finish fell from $84.08 to $5.79. Pass the quality checks and cut rework cost by 90% or more.

Five Costs, Priced Before the Request Is Sent

Token Spend: what the provider bills across every attempt a model will really need.
Rework: the time a person spends noticing a wrong answer and putting it right, at their real hourly rate.
Switching: the discount thrown away when half-finished work moves to another model.
Hidden Thinking: reasoning some models bill for and never show.
Context Re-Read: the whole conversation charged again on every turn, the largest cost on any long session.

Trusted in the Path of Every Request

Fails open: if it errors, the request goes through unchanged
Every answer is billed to the customer's own AI provider account
No prompt content stored by default, and no provider credential ever stored
Every number labelled observed, inferred, or estimated, and never edited after it is written