Audit
We analyse your current AI spend: volume, distribution across providers and models, and usage patterns. Results in 72 hours. Free if you start a three-month plan; otherwise between €1,500 and €3,500.
Four stages, from the first measurement to recurring savings. None of them interrupts your operation.
We sit between your applications and the providers you already use. Your requests go out the same way, your contracts stay where they are and you do not migrate your application.
No migration and no service interruption at any point.
We analyse your current AI spend: volume, distribution across providers and models, and usage patterns. Results in 72 hours. Free if you start a three-month plan; otherwise between €1,500 and €3,500.
We present the achievable saving against your own consumption rather than generic estimates, along with the expected impact on response quality.
We integrate in under two weeks. You keep your provider, you do not migrate your application, and the service is never taken down.
Savings are recalibrated continuously as your patterns and market prices change. Every month you receive a report with your invoice compared.
We measure your real spend and its composition first. Only then do we say what can be saved — using your numbers, not sector averages.
Integration requires no application migration and no provider switch.
Each month you receive your invoice compared with and without e-ficient. If the saving is not in the report, it does not exist.
Saving money by lowering quality is not saving — it is moving the cost elsewhere. Quality is measured before we start and monitored afterwards. If a saving would require degrading it, we tell you and we do not apply it.
We work in line with the GDPR. The audit runs on aggregated, anonymised consumption data: we care about how much and how you spend, not what your prompts contain.
Audit turnaround
72h
Including achievable savings and their budget impact
Integration time
11 days
Average rollout cycle, with no service downtime
Companies already running AI in production and watching the invoice grow without clear control: finance leadership that needs predictability, technology leadership that does not want to slow delivery, and procurement that needs to justify the spend.
Two situations we run into often, and the lever that fixes each one.
A company processes thousands of invoices and delivery notes every month with the same large model for everything: read the document, classify it and pull four fields. Once measured, most of the spend turns out to sit in the simplest and most repeated task. Classification is routed to a small model, the large one is kept for the documents that resist it, and whatever is not urgent goes through batch pricing. The result is the same; the invoice is not.
A team queries its own documentation through an assistant. Over time the prompt has grown: instructions, examples and whole documents travelling on every request, used or not. Cost is not growing because of the answers, it is growing because of the context sent again and again. The fixed part is separated out, cached and paid for once, and only the fragment that is needed is retrieved instead of the whole document.
The initial audit returns a diagnosis within 72 hours and is free if you start a plan with a three-month commitment. Without that commitment it costs between €1,500 and €3,500.
Request an auditThe usual range is 30–60% of inference spend, but the specific figure depends on your consumption patterns. The audit confirms it within 72 hours, before you commit to anything.
It is an analysis of your current AI spend: volume, distribution across providers and models, and where the avoidable cost sits. It is free if you start a plan with a three-month commitment; without that commitment it costs between €1,500 and €3,500 depending on the size of your operation.
No. You keep your contracts and service levels, and you do not migrate your application.
It is measured before we start and monitored afterwards. If an optimisation would degrade it, we tell you and it is not applied.
Each month you receive a report with your invoice compared with and without e-ficient. If the saving is not in the report, it does not exist.
Companies already running AI in production whose invoice is growing without clear control. Below a certain spend volume the service does not pay for itself, and we will say so.