AI token cost optimization starts with visibility and model routing. See every token cost. Route each task to the smallest suitable model. Chiri Sherpa provides model-independent access and cost-aware routing.
Two ways to run the numbers
Run your own numbers
Use the AI bill reality check calculator. It estimates potential routing savings for your work mix. It is a separate tool. It does not duplicate this page. This page explains why the spend is a liability and how Chiri fixes it. The calculator accepts your numbers.
Talk to us
For a detailed review, open . Share your spend, routing, and provider concentration. We will map your spend and potential routing savings.
Two exposures compound at once: spend you cannot predict, and a single model you cannot afford to lose.
Risk 01 · Spend as liability
AI use can grow exponentially. Unclear unit costs and model mixes create a growing quarterly liability. Enterprise agreements can switch to usage-based billing above some seat counts or usage levels. This change can increase your effective cost without warning. The billing mechanism causes this change. It is not a measured Chiri statistic. Finance should treat this as a continuity question. An unpredictable bill creates a planning problem before it creates a savings opportunity.
Risk 02 · Single-model over-reliance
Routing every workload to one frontier model concentrates risk in one provider. A provider price change, limit, retirement, or outage becomes your outage. The provider controls the timing. One frontier model creates a continuity risk. One vendor creates the same risk for any critical system. This dependency also increases the forecasting problem. One provider controls decisions that affect your costs.
Access every model through one integration. Send each task to the smallest model that meets its requirements. Track every token.
01
A live model catalog
Chiri Sherpa gives you model-independent access to a live provider catalog. You are never locked to one lab. The catalog updates when models change. It adds new provider models without a separate integration project.
02
Cost-aware routing
An automatic classifier sends each task to the lowest-cost suitable model. This reduces cost while meeting task requirements. Each task gets a suitable model. The platform decides for each task. It does not use one default for everything.
03
Per-token attribution and visibility
Chiri attributes every token to a user, team, unit, model, and application, and enforces this against the quotas you set. You see your full consumption. A spend spike is traceable to the team and workload that caused it, not a mystery on next month's invoice.
Coding tokens
This is high-reasoning, correctness-sensitive work that often justifies a frontier or near-frontier model. It routes for capability first, then cost.
Administrative work tokens
Routine document work includes classification, extraction, summarization, and routing. A smaller model can complete this work at lower cost. It routes for cost after it meets the requirements.
The right model depends on the workload. The platform decides per task, instead of paying frontier rates for everything.
Routing runs inside the governed foundation, not around it. Your data never leaves your control.
Move 01
Route from frontier cost down
The classifier and catalog evaluate every task against your quotas. They select the lowest-cost model that completes the task.
Move 02
Secure end to end
Routing runs inside the same governed foundation every Chiri application inherits: authorization, isolation, and immutable audit. Cost optimization inherits governance rather than bypassing it, with zero-data-retention enforced per request.
Move 03
Protect the client's advantage
Chiri isolates your prompts, context, and data. Chiri never pools or shares them. Chiri operates routing without viewing client content. An MSSA governs this arrangement. You see your full consumption. Chiri sees anonymized totals only. More companies improve shared security and hardening. You receive those improvements while your advantage stays yours.
Optimization here buys resilience, not just a smaller invoice.
Spend control
Chiri makes your spend forecastable and attributable, and enforces it against the quotas you set. You can plan the AI line item instead of reacting to it.
Business continuity
Model-agnostic access removes single-provider dependency. A price change, deprecation, or outage at one lab does not become your outage.
The right model for each workload
Every task runs on the model that fits it, protecting quality and cost together. The platform decides this per task, not by default.
Freeing spend and removing fragility lets your team build with AI confidently. That is capacity for higher-value work. It is not a plan to run with fewer people, and not a claim that a model outperforms a person.
The providers you buy from have no incentive to help you spend less with them. Chiri gives you the instrument they will not build for you.
Model-agnostic access to a live catalog across providers via Chiri Sherpa, no lock-in to a single lab.
Cost-aware routing via an automatic classifier, from frontier cost down to the lowest cost that clears the task.
Per-token attribution to user, team, unit, model, and application.
Quota enforcement against the limits you set.
Zero-data-retention enforced per request.
Safe and auditable by design: routing inherits authorization, isolation, and immutable audit.
Alpha protection: Chiri hosts and operates the routing without looking at client content. An MSSA governs this. Chiri sees anonymized aggregates only.
The instrument the labs will not build: a way to spend less with the providers you buy from.
Share where you are today. Chiri maps where your spend is going, where routing can bring it down, and where single-model dependency is a risk.