Your AI tools have fixed bills. Your agents don't.
Your AI Bill Was $340 Last Month. This Month It's $1,200. Do You Know Why?
Monthly cost monitoring, usage attribution, overage alerts, and spend optimisation for businesses whose AI compute bills are growing — or spiking — without explanation. Visibility and control over what you're actually spending on AI.
AI FinOps (Cost Monitoring) is a monthly retainer service offered by Crescent AI, an AI automation agency helping small and medium businesses automate repetitive workflows without hiring in-house AI engineers.
3-5×
Typical cost spike when an agent enters an error loop
REAL-TIME
Overage alerts — you find out before the bill arrives
MTH TO MTH
Cancel with 30 days' notice — no lock-in
My front desk was spending most of the day on the phone — booking appointments, chasing insurance pre-authorizations, and following up on outstanding direct billing submissions to extended health plans. WCB claim follow-ups alone were eating an hour a day. Crescent AI automated all of it. Reimbursements come in faster, no-shows dropped, and my team actually leaves on time.
Physiotherapist · Calgary, Canada
The Problem
SaaS AI tools cost what they cost. Agents cost whatever they run.
ChatGPT Plus is $20 a month. That's predictable. An AI agent making 500 API calls an hour to process a backlog, hitting an error loop at 2am, and retrying the same failed task 10,000 times before anyone notices — that's a $900 surprise on your credit card. Variable compute costs need monitoring. Nobody in your business is doing it.
API billing for agents and models is consumption-based — it grows with every automation you deploy
Error loops and runaway agent processes can generate hundreds or thousands of dollars in unnecessary compute overnight
Without cost attribution, you can't tell which workflows are expensive or whether their ROI justifies the spend
No visibility means no ability to forecast AI costs as you scale or defend the spend to leadership
How it works
How We Set Up Cost Monitoring
We establish a baseline of your current AI spend and attribute every API call to its source workflow. Then we enable real-time cost tracking, configure anomaly alerts to catch error loops before they compound, and deliver monthly reports with specific optimisation recommendations.
Cost Baseline & System Audit
Month 1Every API call, model inference, and agent run tracked and attributed to the workflow that generated it. Establish baseline spend by source.
Monitoring Setup & Thresholds
Month 1Real-time cost tracking enabled across all AI platforms. Budget thresholds and overage alerts configured per workflow and per agent.
Anomaly Detection Configured
Month 1Automated detection of cost spikes — error loops, runaway processes, or unexpected usage patterns that signal problems before they compound.
Real-Time Monitoring Begins
OngoingDaily cost visibility. Spend anomalies flagged immediately. Usage trends tracked week-to-week and month-to-month.
Optimisation Pass
Month 1-2Specific recommendations to reduce cost without reducing output: model downgrades, caching opportunities, batching patterns, and redundant call elimination.
Monthly Cost Reports
Every monthBreakdown of spend, what changed month-to-month, optimisation recommendations, and ROI analysis for each workflow and agent.
What's included
What Gets Monitored and Controlled
You get monthly cost breakdowns attributed to each workflow and agent, real-time spend anomaly alerts, budget thresholds with overage notifications, specific optimisation recommendations, and month-to-month reports comparing spend trends and ROI impact.
Monthly Cost Breakdown
Every API call, model inference, and agent run attributed to the workflow that generated it. You see exactly what's costing what — not a single line item.
Spend Anomaly Alerts
Alerts triggered when a workflow or agent starts consuming compute at an abnormal rate — for example, an error that causes a process to retry thousands of times overnight. Caught and flagged before the cost compounds.
Budget Thresholds & Alerts
Hard limits set per workflow, per agent, or across your total AI spend. You get a notification before you hit a number that surprises you.
Usage Optimisation
Specific changes to reduce cost without reducing output: model downgrades where precision isn't needed, caching opportunities, batching patterns, and redundant call elimination.
Monthly Cost Report
What you spent, what it bought, what changed vs. prior month, and where the optimisation opportunities are — with recommended actions, not just numbers.
Coverage
AI Platforms We Monitor
Works with your stack
Fit check
This is built for you if…
You're running AI agents or automations where compute costs are variable and consumption-based. This is for founders who've been surprised by unexpected AI bills and operations managers who need cost visibility before scaling beyond your budget — with real-time alerts to catch runaway processes before they compound.
Businesses running AI agents with variable, consumption-based API costs
Founders who've been surprised by an unexpected AI compute bill and want it not to happen again
Operations managers responsible for software spend who need AI costs to be predictable and defensible
Companies scaling AI deployments who need cost visibility before the bills grow faster than the ROI
Why Crescent AI
Why Choose Crescent AI for AI FinOps
Where the risk sits
Month-to-month. Cancel with 30 days' notice. The cost attribution model and billing history are yours to keep.
Start your retainer
Start with the Audit. Not a Sales Call.
30 minutes. We map the workflows eating your team's time, rank your top automations by ROI, and tell you honestly what's not worth touching yet. You get a written summary. No slide deck. No pitch.
Month-to-month. Built on your existing tools. You own everything we build.