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By Lyne Carolyne
Notion AI comes with the Business plan at $20 per member per month and with Enterprise at custom pricing, per Notion's pricing page; the standalone $10 add-on was retired in May 2025, and Free and Plus get a limited AI trial. Custom Agents add metered Notion credits at $10 per 1,000 monthly. Yearly billing saves up to 20%.
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By Keith MacKenzie
87% of finance leaders are raising their AI budget for FY2027, 45% of them by more than 20%, even though 61% already spend more on AI than they can justify. Most can't see where it goes: 54% can't break AI spend below a rough category, so budgets default to the total and keep climbing. The teams that allocate spend, tying each AI dollar to the team, product, or outcome behind it, are the ones who can defend the number to a board.
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By Lyne Carolyne
Harvey AI pricing is not published: every deal is sales-negotiated. Reported figures across procurement research converge on roughly $1,200 per lawyer per month at the base, 20-to-25-seat minimums, and 12-month terms, putting reported entry floors near $290,000 to $360,000 a year. Premium bundles run higher. No free tier, no monthly plan, no self-serve. Every figure on this page is labeled for what it is: disclosed by Harvey, reported by named research and journalists, or computed from those reports.
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By Keith MacKenzie
CloudZero's Emily Allen and Brady Lenahan talked through how finance capitalizes AI spend and sets limits on it after a year of companywide AI adoption. Picture your AI line item last fall. A few seats, one vendor, tucked inside the software budget. Now picture it today. That’s the year Emily Allen, director of finance and accounting at CloudZero, walked through in our 30-minute webinar FY2027 AI budgets: how finance leaders plan on October 29, 2026.
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By Kaitlin Woo
Picking a dimension means choosing from a list of names. But names only tell users so much. “Product,” “Team,” and “Cost Center” mean different things in different orgs. If you’re building a report you have to guess which one fits the question you’re answering.
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By David Aponovich
Activity categorization classifies every AI request by the work it performs, such as meeting prep, code review or account research, then assigns that spend to the team, person, model and provider behind it. It turns a provider invoice that shows only totals by model and API key into a breakdown finance can allocate, charge back and budget from. CloudZero AI Signals does this as the spend happens.
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By CloudZero
Amazon told its own engineers this week to stop tokenmaxxing. The memo circulated internally in September and Amazon published it on Tuesday, Oct. 27. Tokenmaxxing is the practice of using AI as heavily as possible with little regard for whether the output justifies the spend. The memo calls token usage, adoption rates, and code-change counts “deeply flawed” ways to measure a team.
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By Kaitlin Woo
Most cost questions get answered the same way. You read a chart and the table under it together. Maybe you spot a jump on the chart, and then you go looking in the table for the service, account, or team that caused it. When you can see more of that table while the chart is still in view, the whole review goes faster. You’re also a lot less likely to lose your place halfway through.
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By Kevin Lamb
Insights are how your team tracks interesting observations, analysis and optimization work in CloudZero. Each one records the opportunity and its status, so the work gets sized, assigned, and closed out. Teams now do a lot of this work in an AI assistant. For example, you can ask Claude which instances sat idle last month, and it will tell you. But if you have to switch to CloudZero and fill out a form to log that finding, some findings won’t get logged.
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By Lyne Carolyne
AI cost per customer is each customer's attributed share of your AI spend: API tokens, inference infrastructure, and per-seat AI tools, measured against that customer's revenue. It matters because AI usage is wildly uneven across customers, so healthy blended margins can hide individual customers you serve at a loss. It's cost to serve, not acquisition cost. Cost per customer is the metric CloudZero was built around.
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By CloudZero
AI Budgeting for Finance: Last Year vs. Now In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains how AI planning changed in a single year. Instead of starting from a vendor commit or the current run rate, she’s treating AI spend as its own category and analyzing it bottom-up. That opens a new question for finance: “What does good look like?” With a year of data, finance teams can start benchmarking AI spend over time and check whether what they approved actually paid off.
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By CloudZero
In this video, Brady Lenahan, VP of Sales at CloudZero, shares what he’s hearing from customers when the cap hits before the month ends: employees who’ve built their workflows around AI stop working productively and wait for next month. Some go golfing, some clean the garage. Either way, finance loses both the productivity and the visibility. There’s a better option than capping AI spend you can’t see.
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By CloudZero
In this video, Emily Allen, Director, Finance & Accounting at CloudZero, explains why AI capitalization is still unclear for most finance teams, and how CloudZero gives them a repeatable approach. As AI writes more of the code, finance needs to know which AI spend went to qualifying development work and which should be expensed. CloudZero records which project each AI coding session served, what kind of work it was, and what it cost, so finance has the evidence behind every decision.
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By CloudZero
Cloud and AI spend in one place, tied to the teams, products, and customers behind it. Your bill tells you what you spent. CloudZero tells you why, and whether it paid off. This quick tour shows how CloudZero pulls cost from AWS, Azure, GCP, Kubernetes, Snowflake, OpenAI, Anthropic, and more, then allocates it to what your business actually cares about. No perfect tagging required.
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By CloudZero
See who’s spending on AI, on which models, for what work, and what you got for it. Most companies can tell you what they spent on AI last month. Very few can tell you what it bought. In this demo, we show how AI Signals captures AI usage as it happens and ties every dollar to the person, team, and work behind it, across every model and provider.
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By CloudZero
James Pelton is a serial entrepreneur, YouTube creator with 83,000+ subscribers, and Senior DevRel at Zencoder — an AI engineering platform. He founded and exited a mobile SMS marketing company, then pivoted into AI tooling, content creation, and multi-agent system building. He currently runs roughly 10 income streams, several of which are managed by AI agents he built himself.
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With CloudZero you get insights about your applications and systems, helping you manage operations at a scale that you’ve never had before. Our platform provides you with insights about every piece of your system, including the real cost of resources, resource utilization, reserved capacity and cost center efficiency.
With the accurate and trusted data provided by CloudZero you can minimize or eliminate under utilized resources, visualize costs for easy comprehension and oversee the entire software lifecycle. Nothing is out of view when using CloudZero’s Observability platform. From regional views to individual resources, you have insights at every level to help you keep your systems running smoothly.
How do we do it?
- Collect and Normalize: CloudZero’s platform starts by collecting the data from your CloudWatch, CloudTrail, VPC Flowlogs, Lambda Data Events and Billing Data from every AWS account you connect. This part of the platform is isolated in its own account for security and has read-only access to the accounts you connect.
- Populate the Stream: All of the data collected is normalized and the events, resources, statistics and billing data are organized into data streams which allow our platform to perform real-time analytics on all the data collected.
- Find Meaning: Our algorithms take in the normalized data and perform complex analytics sifting through all the data to filter noise and enhance signal. We use Machine Learning on a large scale to learn what is valuable to surface.
- Visualize Everything: The application provides opinionated visualizations of the insights determined by the platform’s AI. From regional system maps to single resources to cost of service broken down by team, CloudZero’s platform provides true observability to everyone in your organization.
Observability for Everyone. Add cost as a first-class metric and understand the financial effect of operational decisions.