IT operations

Agents can now grant access and change cloud settings. Who checks them?

IT agents act on the systems everyone else depends on. LeafCraft gives them narrow access, a checker for every change and a cost limit before work runs.

One teamYour rulesYour memoryYour budget
Product screen · example dataLeafCraft console

What's changing in IT operations

01

Agents grant access and change settings

Service desk and cloud agents now act on identity and infrastructure.

02

Non-human identities multiply

Every agent is an identity. Shared logins make them impossible to audit.

03

Cloud cost agents can spend

An agent that resizes a cluster at night can cost more than the engineer it replaced.

Two risks the layer removes

The agents you can't see, and the model that gets retired.

Agents you don't know about

In IT operations, agents arrive through vendor updates and team pilots. LeafCraft finds all of them, gives each an owner, and brings it under your rules or removes it.

How discovery works

A model that gets retired

An agent built straight on one model has to be rebuilt and re-approved when that model is retired or repriced. On LeafCraft you switch the model for that agent in config and keep everything else. Months and a budget, saved.

Agent tied to one model
  • The model is retired or repriced
  • Prompts, tests and sign-offs rebuilt
  • Months of work, a new approval cycle
  • The history stays with the old tool
MonthsA rebuild budget
Agent on LeafCraft
  • Pick another model for that agent
  • Switching is a config change
  • Test it against your own record first
  • Rules, limits, owner and memory stay
HoursNo rebuild
TimeHours to switch, not months to rebuild
CostNo rebuild budget, no new approval cycle
MemoryThe record carries over to the new model
Your choice of model

Why it matters now

In IT operations, the agents arrived before the rules did.

IT operations runs the agents other teams depend on, and the agents that other teams bring. The layer gives every agent its own login and only its role's access, routes changes by blast radius to named engineers, caps what an agent may spend, and records every grant, change and incident step.

How the layer works

AI and people, one team

Your IT operations team, with AI on the org chart.

Does the work
Decides
Checks
AI drafts. A person decides. Another agent checks.

The agent prepares the case. Your person makes the call and writes why. A separate audit agent checks the decision against your rules.

Same rules for every seatNo one checks their own workOne named ownerCost set before it runsBoth reasons recorded
No one checks their own workAgent or person. Maker and checker are never the same.
One named owner per decisionNever "the system".
Authority earned from the recordWidens with clean work. Narrows after mistakes.
People stay where they workSlack, Teams, WhatsApp (coming) or email. Their reply moves the work on.

What changes for you

Today
With LeafCraft
Agents acting under shared service accounts
Own login per agent, access per role
Changes approved by the agent that proposed them
By blast radius, to named engineers
Cloud changes at night with no limit
Capped per agent, stopped on failure
Incident timelines rebuilt by hand
The record is the timeline
Silence is never a yesEstimated before it runsNothing erased after it's written
Product screen · example dataLeafCraft console

Questions teams ask

Do agents get admin access?

No. Every agent has its own login with its role's access. A tool that is not on its list is refused before it runs.

Can we stop all agents during an incident?

Yes. One switch pauses the whole operation across every server and cancels work in progress, until you resume.

Where does it run?

In your own cloud account on AWS, Azure or Google Cloud, in your own Docker or Kubernetes setup, or on-prem.

Bring one IT operations process.

We'll map who does the work, who decides and who checks, set the cost limits and show you the record.