Apliko
Problem we solve
Our AI bill is growing faster than the revenue it generates
Same output, smaller bill — without sacrificing quality.
Model selection, prompt engineering and caching tuned against your actual usage data.
Signs this is your problem
You will recognise yourself in at least one of these
- Your monthly LLM bill keeps climbing month over month.
- You are using the largest model everywhere "just to be safe".
- Prompts repeat huge amounts of context on every call.
- Nobody is sure which call patterns are actually expensive.
Why it happens
The root cause, in plain language
AI costs scale linearly with tokens. Without measurement and tuning, the easy choice (biggest model, longest prompt) becomes the default — and the bill reflects it.
Our approach
How we actually fix this
- 1
Instrument every AI call so you can see cost per workflow, per feature, per customer.
- 2
Route easy queries to smaller / cheaper models and reserve big ones for hard cases.
- 3
Compress system prompts and cache stable context across calls.
- 4
Re-evaluate model choice as new releases ship — there is almost always a cheaper option within months.
What you can expect
Outcomes our clients see
- AI cost reduced without users noticing.
- Predictable, attributable spend instead of a single mystery bill.
- Continuous transitions to faster and cheaper models as the landscape evolves.
Related solutions
People with this problem usually also have these
Support is buried under "where is my order" emails
Resolve 75% of repetitive support emails instantly by connecting AI directly to your logistics and order data.
AI CoworkersWe need to localise content for 5+ markets, fast
A pipeline that takes one source article and produces region-aware drafts for every market you launch in.
Working with usWhat exactly is included in your maintenance plan?
Hosting, monitoring, error response, API change handling, security patches and continuous optimisation.
Let's plan your growth
Initial consultation is completely free. We are looking for long-term partnerships.