
Measuring AI Usage Without Sidelining the Works Council
Which paid AI accounts are being used? Before evaluating usage, check data access, existing works agreements, and any agreement still needed. A sequence for IT and management in Germany.

Which paid AI accounts are being used? Before evaluating usage, check data access, existing works agreements, and any agreement still needed. A sequence for IT and management in Germany.

A short answer can tie up a lot of GPU memory. Paged attention splits the KV cache into blocks that a request receives when it needs them.

Fewer bits save space for model weights. Comparing the intended tasks shows whether answers stay good enough and whether the model actually runs faster.

Prompts, active days, and estimated hours can inform a license decision. Each number needs context: what was recorded, and what was calculated from a formula?

Eight requests start at the same time on the same server. The shortest one is done after three tokens. Its answer still does not arrive until the longest of the eight has written its last word.

An extraction reliably pulls values out of contracts, until one field is missing. The same call still returns a number, cleanly formatted, just invented. Why a language model is not a database, and what that means for checking its output.

A developer team at Vercel now has an agent writing a quarter to a third of its pull requests. The exact share is not the interesting number. What is interesting is that someone measured it at all.

In June an open model cracked 50 points on the leading independent AI benchmark for the first time; six weeks later a second one came within three points of the frontier. Why the average number is still almost irrelevant for your own decision.

Same prompt, same model, twice, two different answers. Not a bug: the model draws from a probability distribution at every word. What temperature, top-p, and top-k actually set.

An AI vendor can disappear no matter how big it was. Three questions decide whether that means a migration for your company or a rebuild from zero, and they belong before the contract, not after.

300 paid Copilot seats are not 300 users. What Microsoft's own reports count as "active," what the widely cited 20-30 percent figure actually measures, and why it likely understates the gap rather than overstates it.

Data "stored in the EU" sounds like protection from US access. It is not, automatically. What the CLOUD Act and FISA 702 mean, and when it matters for your company.

One request answers instantly, then drips out word by word. Another takes a while before the first word appears, then runs through fast. The reason: two phases with different bottlenecks.

An AI model never sees an image as pixels. It cuts it into a grid of tiles that become numbers, and reads them like tokens. Why the fine print disappears first.

Custom software for small problems used to be too expensive. In 2026 that math has shifted. What it means for internal tools in mid-sized companies, and where the line still sits.

Is your own server for open AI models worth it, or is a subscription cheaper? The honest cost and hardware math for the Mittelstand, as of 2026.

Same model, same question. Every answer costs more the longer the conversation runs. The reason has a name: KV cache.

A token is the smallest unit a language model splits text into. Why the model sees no letters, and what that one fact explains about cost and errors.

Custom AI applications for mid-sized companies cost between 15,000 and 60,000 euros. This article shows which factors determine the price and when the investment pays off.

ChatGPT knows a lot about the world. About your company, it knows nothing. Here is how to make internal knowledge accessible to AI.

Off-the-shelf software covers 80 percent of cases. The remaining 20 percent decide your competitive advantage. Here is how to make the right call.

Most mid-sized companies have no ML specialists on staff. That is not an obstacle to AI projects, as long as the approach is right.

Learn how modern IT collaboration thrives by focusing on problems, not just solutions. Discover practical strategies to empower IT teams and deliver smarter, business-aligned outcomes.

Discover how to create a reliable and monitored asynchronous processing system with AWS Lambda. This pattern combines SQS queues, dead letter queues (DLQs), and CloudWatch alarms to prevent data loss and provide real-time alerts.

A detailed guide to secure authentication and authorization strategies for Single-Page Applications (SPAs). OAuth 2.0 and OpenID Connect are combined with PKCE to ensure secure and efficient access control.

Discover how serverless computing helps you outpace competitors by speeding up development and avoiding opportunity costs.