Observability for AI-
assisted software work

Beezi turns coding tool data into insights on cost, practice, and delivery — so you know your new velocity in the AI era.

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Six things you currently have no way to check

Not a score and not a leaderboard. A record of how work gets done, per session, per branch, per model.

Which practice to standardize

Which skills exist, which get invoked, which get ignored. Where the same problem was solved five different ways across the team. Which MCP servers are connected and how they change what a session looks like.

Where the variance comes from

Duration, retries, and model choice across sessions. Time actively running versus waiting for a response. When two similar branches take very different amounts of time or spend, that shows up — and you can tell whether it's the work or the setup.

Your own estimating baseline

Patterns build up over weeks of sessions. After a while it's your own reference for what a normal piece of work costs and takes — the next estimate comes from your data, not from last year's number minus a bit for optimism.

Where the spend actually goes

Spend broken out by team, project, and branch, and how it splits across models and skills. Enough to tell heavier work apart from more expensive habits.

Limits and tiers

When rate limits get hit and how often, and where a tier is underused. Sometimes the honest answer is spend more: an engineer waiting for a reset three times a day costs more than the upgrade.

What AI is connected to

An inventory of connected MCP servers. When a client or an auditor asks what data AI tools could reach on a project, "I don't know" stops being the answer.

Introducing Beezi Analytics

Your all-in-one AI adoption tracker that brings complete visibility, control, and intelligence to your AI investments. Analytics transforms complex AI usage data into clear, actionable insights, showing you exactly where your money goes, who's driving results, and how your organization compares to industry benchmarks.