Your AI bill is growing faster than your revenue.
We audit your LLM spend, build smart routing that sends cheap queries to cheap models, and put hard budget caps in place — typically cutting AI API costs 40–80% within 30 days.
We start with an LLM cost audit — most SaaS teams don't know exactly what's driving their AI spend. Smart model routing and hard budget caps usually cut costs 40–80% before any deeper engineering changes are needed.
What is an AI receptionist for tech companies?
AI cost optimization for SaaS teams cuts LLM API spend 40–80% within 30 days using intelligent model routing, prompt caching, token reduction and hard budget caps. It is a drop-in proxy layer, so savings land without code changes or any reduction in output quality.
The Problem
Why Tech Companies businesses lose revenue every day.
Token Bills Arrive as a Surprise
You get one line item from OpenAI at the end of the month. By then it's already too late to act. No breakdown by feature, team, or endpoint — just a number that keeps climbing.
Every Request Goes to the Most Expensive Model
Teams default to GPT-4o or Claude Opus for every call because it's easier. A question like 'what's today's date?' doesn't need a $5/million-token model. It needs a $0.05 one.
No Budget Guardrails
A single agentic loop gone wrong can trigger 50 LLM calls on one user request. Without hard caps, one bad deployment silently burns $10,000 before anyone notices.
You Can't Explain the Bill to the CFO
When finance asks 'why did AI spend triple this quarter?', you don't have an answer. Cost isn't attributed to features, teams, or products — it's just a growing line item.
One engine.
Every touchpoint automated.
Every trigger on the left flows through Kelvino AI and lands in the tools you already use — automatically.
Reducing AI API spend without touching the codebase
API bills were growing 30% month-over-month with no visibility into which features or teams were responsible. Engineering had no time to optimize.
Full LLM cost audit, smart model routing layer (cheap queries to cheap models), prompt caching, per-team budget caps, and CFO-readable dashboard.
67% reduction in monthly AI API spend within 30 days. Complete visibility by team and feature. Budget surprises eliminated.
What We Build
The full Tech Companies automation stack.
The Results
What you can expect.
Numbers based on industry benchmarks and early client implementations.
Achieved through routing, caching, and batch API optimization
Cost dashboard live and routing active within 5–7 days
We swap in a drop-in endpoint — one config line, no refactor
"We had no idea one feature was driving 80% of our OpenAI bill. Kelvino found it in the audit and rerouted it to Haiku. Bill dropped by 60% before we changed a single line of our code."
Ready to stop losing tech companies revenue?
In 30 minutes, we'll map every place your tech companies business is losing leads and revenue, put a dollar figure on it, and show you exactly what a purpose-built system would look like. No commitment. No pitch.
The audit is a free 30-minute call with our team — not a sales pitch. We review your current setup, map exactly where you're losing leads or time, and hand you a dollar figure on each gap. You walk away with a clear plan whether you hire us or not.
What you walk away with:
- The exact revenue leaks inside your tech companies business
- A dollar figure on each gap so you know what it's costing you
- The fastest payback automation scoped for your industry
- A fixed price build quote with no hourly rates and no surprises
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