Ongoing project / Technology platforms and digital products
API cost control for an AI-enabled platform
An ongoing requirements and architecture engagement is helping a digital product platform establish stronger control over third-party AI API costs. The work measures actual usage, defines cost and quota policies before provider calls, and creates an auditable foundation for later implementation.
Where the work stands
This is a requirements and architecture engagement, not a completed production rollout. The useful work at this stage is deciding what must be measured, what must be refused, and who approves a change before any provider call is altered.
No savings percentage, production outcome, provider capacity, or deployment result is claimed. Those figures do not exist yet, and publishing an estimate would turn a design constraint into a result.
The control strategy
- Usage metering and reconciliation against provider invoices, so spend is checked against observed calls rather than a dashboard assumption.
- Request, token, and estimated-spend limits applied before a provider call, not after the invoice arrives.
- Model routing only after a quality evaluation. A cheaper model is not a control if it fails the task.
- Cache strategies based on observed request behavior, not on an assumed repeat rate.
- Customer-owned provider credentials and infrastructure. The platform keeps the accounts; GJH does not become the billing intermediary.
- Custom compatibility layers and provider adapters, so a workflow is not forced through one vendor's interface.
- Human approval, testing, and rollback controls before a production change.
Partner agencies and custom solutions
Where a platform needs specialized delivery capacity, GJH can coordinate approved partner agencies. That coordination keeps one architecture, one security boundary, one set of acceptance criteria, and one change-control process. It does not hand the design to whoever has spare capacity.
Custom solutions stay fitted to the platform's workflows. A generic product is not assumed to be the right control surface for every use case.
What this page does not claim
The engagement has not published a measured cost reduction, a production cutover, or a provider-capacity result. Implementation remains ahead of this write-up. Anything that later ships will need its own verification before it is described as done.
Privacy
The customer name, commercial terms, traffic volumes, provider-account information, credentials, agency identities, locations, internal decisions, and proprietary implementation details are omitted. The example describes the control strategy without reproducing private project records.