Spend you can’t see
A large share of AI spend has no clear owner. It sits across copilots, model contracts, APIs and business-unit tools, so overruns surface only after the money is gone.
AI cost and performance optimization
Cut your AI bill. Keep your AI.
Tokenduction audits, optimizes and governs token spend for organizations scaling AI, so cost per outcome falls while adoption keeps growing.
AI spend · this monthIllustrative
$48,213
After Tokenduction
$17,840Saved this month63%
Built for regulated industries: banking, lending, insurance and pharma.
93 percent
of enterprises have already exceeded their AI budgets
McKinsey Enterprise AI FinOps survey, May 2026
20 to 30 percent
typical savings from managing AI consumption
McKinsey, The cost of intelligence, July 2026
5 to 25 times
cost gap per token between simple and frontier models
BCG, Return on AI, July 2026
The problem
AI costs don’t grow in a straight line.
Token bills behave nothing like software licenses. They rise with every user, every agent loop and every document sent to a model, and most of that spend is invisible until the invoice arrives.
Agents that compound
Agents resend growing context on every step. A session twice as long can cost four times as much, and the same task can vary widely in token use from one run to the next.
One model for everything
Most teams send every request to the most expensive model, including simple lookups that a lighter model or plain code would answer faster and for a fraction of the cost.
The method
From the red to the black, in three steps.
See the red
A token audit maps every AI dollar to an owner, a workflow and an outcome. You get a baseline of cost per outcome, not just cost per token.
Cut the red
We apply the levers that matter for your workloads, measured on your real queries, with quality checked against a benchmark before anything goes live.
Stay in the black
Budgets, routing rules, alerts and forecasts keep spend predictable as adoption grows, including AI projects you have planned but not yet launched.
The levers
Six levers do most of the work.
Remove AI where it isn’t needed
Lookups, rules and calculations run faster and cheaper as plain code.
Route by complexity
Simple requests go to lighter models; frontier models handle hard reasoning only.
Cache what repeats
Fixed instructions, schemas and policies are reused, never paid for twice.
Trim the input
Send summaries and relevant sections, not whole documents or raw tables.
Cap the output
Structured, right-length answers cut the most expensive tokens.
Limit agent loops
Retry limits and stop rules keep agents from burning tokens in circles.
Your numbers
See what your AI spend could be.
Move the sliders to estimate your current annual spend and what a typical optimization range could save.
Current annual spend
$52,000Optimized annual spend
$26,000Annual savings
$26,000Estimates only. Actual savings depend on your workloads and are confirmed during the audit.
Security first
Lower cost without lowering your guard.
Access controls stay intact.
Row-level security and permissions remain where they are today.
No business data cached.
Only fixed instructions and schemas are reused.
Guardrails stay in place.
We change when security checks run, never what they check.
Every route is logged.
Each request records its model, cost and time for audit and chargeback.
How we work
Start small. Prove it. Then scale.
Token Audit
Fixed scope, fixed fee. A full map of your AI spend, cost per outcome baseline and a ranked savings plan.
Optimization
We implement the levers with your team and measure every change against quality benchmarks.
Ongoing Control
Monitoring, forecasting and monthly reviews that keep spend in the black as usage grows.
Start with a token audit.
One conversation, and you will know where your AI spend goes and what it could be.
Thanks. We’ll reply within one business day.