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AI Is Forcing Finance to Redefine KPIs

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.

The $600 AI Cap That Sent Employees Golfing

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.

How to Capitalize AI Spend Without the Gray Area

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.

Manage and deploy LLM prompts with Datadog

Prompts are an important part of LLM application behavior, but teams often manage them alongside application code or across separate notebooks and configuration files. This can make prompt changes dependent on application releases and make it difficult to understand which version is running in each environment. When a change affects application quality, latency, or cost, teams also need a way to connect that behavior back to the prompt version that produced it.

What is Upsun Dispatch? AI agents that ship with your team

Your engineers are writing more code than ever with AI, but your team isn't shipping more product. The code waits for review, agents run on personal laptops and accounts, and nobody can say what any of it costs. In this overview, we show what Upsun Dispatch is: where your team and its agents ship together, with every decision recorded and every dollar tracked. We get into.

AI budget season: 87% are raising it, 61% can't justify it

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.

Harvey AI pricing in 2026: every reported number, and how to build the business case without a rate card

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.

Episode 19- What Gen Z Actually Thinks About AI

In Part 1 of this conversation, three early-career professionals at Digitate — Ryan Bascos, Renad Morrar, and Ritu Bhalodia — join The Intelligent Enterprise to share what it actually feels like to start a career in the age of AI: the tools they rely on, the concerns they carry, and what their generation sees that others might be missing.

Agentic Pipelines is generally available: run agents in Cloud or on your own Linux runners

We’re excited to announce that Agentic Pipelines is now generally available across all paid Cloud Bitbucket plans. You can run agents on our cloud runners or on self-hosted Linux Docker runners, with support for more runner types coming soon. With this launch, Bitbucket Pipelines evolves from a CI/CD tool into an intelligent workflow engine that increases developer productivity by letting agents handle routine engineering tasks.

What a 'Kill Switch' Actually Means for Your Agent Fleet

In short, in the five weeks to 27th October 2026, Okta, Satya Nadella, the Cloud Security Alliance and Salesforce each put the words “kill switch” or “emergency brake” next to AI agents, and the AI Kill Switch Act, introduced in the US House on 23rd July, would require the largest model providers to be able to throttle, suspend or shut their systems down on order. Every one of those switches stops something, and none of them stops the same thing.