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SOLUTIONS · AI COST OPTIMIZATION

The governed path is the metered path

The governed path is the metered path

The governed path is the metered path

The governed path is the metered path

AI cost optimization works when the metering point and the enforcement point are the same wire. APERION meters every call, routes it to the model that should handle it, compresses and caches on meaning rather than exact text, and holds the provider keys, so spend is governed by the same policy that governs risk.

The wire that enforces policy on every model call is the same wire that meters the spend. The savings fund the platform.

AI cost optimization works when the metering point and the enforcement point are the same wire. APERION meters every call, routes it to the model that should handle it, compresses and caches on meaning rather than exact text, and holds the provider keys, so spend is governed by the same policy that governs risk.

The wire that enforces policy on every model call is the same wire that meters the spend. The savings fund the platform.

AI cost optimization works when the metering point and the enforcement point are the same wire. APERION meters every call, routes it to the model that should handle it, compresses and caches on meaning rather than exact text, and holds the provider keys, so spend is governed by the same policy that governs risk.

The wire that enforces policy on every model call is the same wire that meters the spend. The savings fund the platform.

AI cost optimization works when the metering point and the enforcement point are the same wire. APERION meters every call, routes it to the model that should handle it, compresses and caches on meaning rather than exact text, and holds the provider keys, so spend is governed by the same policy that governs risk.

The wire that enforces policy on every model call is the same wire that meters the spend. The savings fund the platform.

The blank check

The blank check

AI spend arrives as an invisible invoice. Teams call models directly, keys sit on developer purchasing cards, and finance sees the bill after the fact with no line items. Usage grows, per-call prices fall, and total cost climbs anyway. The spend is real. The visibility is not.

AI spend arrives as an invisible invoice. Teams call models directly, keys sit on developer purchasing cards, and finance sees the bill after the fact with no line items. Usage grows, per-call prices fall, and total cost climbs anyway. The spend is real. The visibility is not.

Five levers on one wire

Five levers on one wire

Meter. Cost per prompt, per token, per team, per app, per person. Rolled up from business unit to individual.

Meter. Cost per prompt, per token, per team, per app, per person. Rolled up from business unit to individual.

Key custody.

Key custody.

Keys come off developer cards and into central, encrypted custody. One key on the wire, rotated on a schedule.

Keys come off developer cards and into central, encrypted custody. One key on the wire, rotated on a schedule.

Route.

Send routine calls to cheaper models. Reserve premium models for the work that needs them. A four-tier ladder from local cache to premium.

Compress.

Strip the repeated schema and context boilerplate that data-heavy prompts carry. Smaller payloads, same result.

Cache.

Serve what repeats from a semantic cache instead of paying for the same answer twice.

What caches, and what does not

What caches, and what does not

Caches well: helpdesk and policy Q&A, repeated agent system prompts and shared context, classification and routing calls, templated summarization, and code assistance across a team. High repetition, stable answers. Caches poorly: point-in-time analytics over changing data, where every request is unique and semantic similarity does not help. For those workloads the savings shift to the other levers on the same path. Cache is the biggest single lever where traffic repeats. It is not the only one.

Caches well: helpdesk and policy Q&A, repeated agent system prompts and shared context, classification and routing calls, templated summarization, and code assistance across a team. High repetition, stable answers. Caches poorly: point-in-time analytics over changing data, where every request is unique and semantic similarity does not help. For those workloads the savings shift to the other levers on the same path. Cache is the biggest single lever where traffic repeats. It is not the only one.

Budget against business goals, not raw usage

Budget against business goals, not raw usage

Phase one, the token is the unit of cost. Phase two, the unit of work is the unit of value: a claim processed, a ticket resolved, a report drafted, a filing reviewed, each priced in tokens and tied to a stated business goal. Meter your own consumption before your vendor meters it for you.

Phase one, the token is the unit of cost. Phase two, the unit of work is the unit of value: a claim processed, a ticket resolved, a report drafted, a filing reviewed, each priced in tokens and tied to a stated business goal. Meter your own consumption before your vendor meters it for you.

Start with your own numbers.

Start with your own numbers.

Bring your gateway and provider logs. We will walk through what you are spending, where it is going, and what cannot be accounted for.

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Read the five-lever breakdown