Valuemaxxing

Your AI bill is climbing. Is the value keeping up?

Your agents burn tokens on work that doesn’t need AI. Create AI-powered systems on Zapier instead. Let us automate the predictable work and only loop in AI for tasks that require judgment. See how you can save with Zapier.

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A chart showing Zapier workflow performance

¹ Based on a modeled study of 24 AI agent workflows. Full methodology and results below.

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Cost comparison

Same outcome. Very different bill.

We modeled how AI agents spend tokens on complex workflows. Most steps didn’t need AI at all. Compare the modeled cost breakdown across use cases.

Use case

AI-only systemTokenmaxxing

Zapier systemValuemaxxing

Savings with Zapier

Competitive outreachSales

$0.49 / run

$0.17 / run

−66%

Competitive briefMarketing

$0.38 / run

$0.04 / run

−90%

Deal reviewOperations

$0.53 / run

$0.14 / run

−73%

Record enrichmentSupport

$0.39 / run

$0.11 / run

−72%

Expense rollupFinance

$0.40 / run

$0.08 / run

−79%

Compliance follow-upHR

$0.50 / run

$0.12 / run

−76%

Examples shown are illustrative; per-task savings ranged from 54% to 90% across the full study. Individual results will vary based on factors including but not limited to workflow complexity, model usage, and plan type.

71%

cheaper to run on average

modeled across 24 AI agent workflows for sales, marketing, operations, support, finance, and HR

Methodology: In an internal Zapier study, we modeled 24 AI agent workflows to classify which steps required AI versus deterministic automation. Savings reflect the estimated cost reduction if deterministic steps were routed away from the LLM, using modeled LLM pricing of $1.50/M input tokens and $9.00/M output tokens, and a modeled $0.001/action fee based on Zapier’s Teams plan — not guaranteed rates for all plans. Not based on live customer workflows. Results will vary.

STICKER SHOCK

The AI cost reckoning is already here

Everyone felt the pressure to go all-in on AI.
But the bills outpace the returns.

4 months

How long it took Uber to burn through its entire 2026 AI budget.

$300M

What Salesforce expects to pay for Anthropic tokens this year, amid a hiring freeze.

$150,000

One engineer’s Claude Code bill. In a single month.

100,000

The number of Microsoft engineers losing Claude Code access due to cost.

Sources: Uber, Salesforce, Claude Code, Microsoft

The cost of AI compounds. Especially when teams give AI agents work that automation can do, then build more agents to check the first ones.

And AI predicts likely answers instead of running fixed logic. So even on a predictable, rule-based task, it misses sometimes — at a premium price.

You might ask, “How do we spend less?” But the better question is, what is your AI spend actually doing? Answer that, and you’ll know exactly which tasks deserve tokens.

The cost of AI compounds. Especially when teams give AI agents work that automation can do, then build more agents to check the first ones.

And AI predicts likely answers instead of running fixed logic. So even on a predictable, rule-based task, it misses sometimes — at a premium price.

You might ask, “How do we spend less?” But the better question is, what is your AI spend actually doing? Answer that, and you’ll know exactly which tasks deserve tokens.

An illustration showing deterministic and agentic processes

How to govern AI spend without sacrificing speed

Is your high AI bill a sign of value or waste? We’ll show you how to tell. Plus, discover the one policy that drives most of your AI cost, how Zapier governs its AI spend, and a 30-day plan for standing up your own governance framework.

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