AI Cost Optimization - Live now

Stop overpaying for AI.

Cut costs 40–80%.

Free token audit. No commitment. No pitch. Just data on exactly where your AI budget is leaking and how to fix it. We charge based on what you actually save.

Estimated AI waste since you opened this page$0for a typical AI-enabled company
Scroll to explore
0–0%AI cost reduction
FreeEntry-point audit
2 weeksTo clear insight
30 daysTo measurable results
Free 11-Question Token Audit

Find out your grade.

See your savings estimate.

15 minutes. No commitment. You will get a letter grade (A to D) and an estimated annual savings figure based on your actual spend.

Part 1: Your AI Stack1 of 11

Which AI models are you running in production?

Select all that apply

The Problem

Token waste isn't a technical problem.

It's a commercial one.

Nobody in the market owns it. Most companies don't even know how much they're wasting, because the billing is opaque and the tooling is non-existent. We built AI Cost Optimization to fix that.

High impact

Bloated prompts

System prompts stuffed with redundant instructions sent on every single call. You're paying for context you don't need.

Quick win

Wrong model routing

GPT-4 class models answering questions that GPT-3.5 handles perfectly. You're buying a Ferrari to drive to the corner shop.

Exponential

Redundant context

Entire conversation histories re-sent when only the last few turns matter. Tokens wasted on what the model already knows.

30–50% saving

No caching strategy

Identical prompts processed fresh every time. Semantic caching alone can cut 30–50% of API spend overnight.

Hidden cost

Unbatched calls

Single-item API calls fired in rapid succession instead of batched. The overhead adds up faster than you think.

"The capability was always there. The economics were always broken. Nobody owned the problem."

LM
Lewis M
CEO & Co-Founder, U4RIA
Anatomy of a Wasted Prompt

This is what wasted money

looks like.
Before optimization0 tokens
You are a helpful assistant. Always respond in a professional manner. Never use slang or informal language. Be concise but thorough. Here is the full conversation history: [2,847 tokens of prior context] The user's current request: Summarise this paragraph. Remember to use bullet points when appropriate. Always end with a follow-up question.
68% is bloat the model ignores
After optimization0 tokens
Professional assistant. [Last 3 turns of context] Summarise this paragraph.
79% fewer tokens · Same output quality
79% fewer tokens · Same output quality · Same model · Same output

Scroll to see the optimization

Our Delivery Process

Six phases.

No surprises.

NDA before anything

We request an NDA before you share proprietary prompts or system instructions (the recipe for your AI agents), architecture diagrams (how agents connect to internal databases or APIs), or token logs and sample data (actual input/output logs that may contain customer data or business logic). No exceptions.

0

Contract and Access

CEO

NDA signed first. No prompts, architecture, or usage data without it. Scope document signed. Data handling noted. Access list confirmed.

Signed NDA + scope + data handling note
1

Workflow Mapping

Dev team

Map every AI workflow: endpoint, model, calls per month, average input and output tokens, context sources, RAG usage, cache, retry rate, and business value.

Complete workflow map table
2

Cost Baseline

Dev + Analyst

For each workflow: calls x input tokens x price + calls x output tokens x price + retry cost. Ranked by total monthly spend and cost per successful business outcome.

Cost table ranked by spend
3

Seven-Layer Review

Dev team + CEO

Review all seven technical layers: prompts, context, RAG, model routing, caching, batch processing, and agents. Identify waste and projected savings in each.

Findings per layer with savings estimates
4

Opportunity Ranking

CEO

Rank all recommendations: quick wins (1 to 3 days, low risk), medium work, and larger changes as a separate scope. Presented as a savings menu with ROI per item.

Prioritized savings menu
5

Client Report

CEO presents

Executive summary, cost picture, workflow map, waste patterns, savings menu, risk analysis, roadmap, implementation estimate, monitoring plan, and follow-on options.

Final audit report
6

Follow-on Proposal

CEO

Platform pilot for the top 2 to 3 recommendations. We tell you exactly which recommendations map to our document intelligence pipeline and governed agent infrastructure.

Deployment or platform proposal
Token Waste Estimator

How much are you overspending?

Based on audits across 20+ AI deployments. Drag the slider to your monthly AI API spend.

Primary AI provider
Monthly AI spend$10k
$500/mo$200k/mo
Conservative saving (40%)
$4k
per month
Optimized saving (80%)
$8k
per month
Monthly wasteRecoverable with optimization

Annual savings: $48k$96k

per year you could keep. The audit tells you exactly which bucket your waste falls into.

Proven Across Industries

The savings are real.

So are the timelines.

Every engagement starts with a free audit. Most clients see savings within 30 days.

Retail

Scaling e-commerce without drowning in overtime

0%
Overtime
Inventory AICX Automation
Professional Services

From calendar chaos to coordinated project delivery

0%
Project Delays
Resource PlanningScheduling AI
Manufacturing

Turning production volatility into predictable, lower-waste output

0%
ROI
Predictive SchedulingQuality Control
Logistics

Cutting empty miles and reclaiming margin across a 200-vehicle fleet

0%
Empty Miles
Route optimizationLoad Matching
Retail

45% fewer stockouts and a leaner supply chain across 18 locations

0%
Stockouts
Demand IntelligenceReplenishment AI
Retail

Scaling e-commerce without drowning in overtime

0%
Overtime
Inventory AICX Automation
Professional Services

From calendar chaos to coordinated project delivery

0%
Project Delays
Resource PlanningScheduling AI
Manufacturing

Turning production volatility into predictable, lower-waste output

0%
ROI
Predictive SchedulingQuality Control
Logistics

Cutting empty miles and reclaiming margin across a 200-vehicle fleet

0%
Empty Miles
Route optimizationLoad Matching
Retail

45% fewer stockouts and a leaner supply chain across 18 locations

0%
Stockouts
Demand IntelligenceReplenishment AI
Under the Hood

Five levers.

Engineered, not guessed.

Every AI deployment leaks value through the same failure modes. We know exactly where to look.

Live now · Free entryFree entry · No commitment

The 10-Question Token Audit

The fastest way to know exactly how much you're wasting. 15 minutes in, you'll have a waste profile. Two weeks out, you'll have a plan.

What you get

  • Full token waste category breakdown across your stack
  • Cost-per-decision baseline, the ROI metric every CFO responds to
  • Model routing assessment: are you on the right models for each task?
  • Caching opportunity analysis: where semantic caching applies immediately
  • Prioritized action plan ranked by savings impact
  • Month 1 projected savings figure, in real money, not percentages