For IT managers

AI for IT managers: your own IT data, answered before the CFO, the auditor, or the renewal deadline forces it

You're the last line of defense on three fronts at once: shadow AI that's already inside the company, a helpdesk drowning in resets while the roadmap slips, and license sprawl the CFO keeps flagging. The answer to "AI for IT" can't be one more ungoverned agent pushed to every laptop. It's your own IT data, made answerable at your level, on your own machine.

Join the waitlist What an AI-native CTO is, and how IT rolls up to it

The shadow-AI problem isn't coming. It's already in the building. At over 90% of companies, employees regularly use personal AI tools for work while only around 40% of those companies have an official AI subscription, and executives are among the heaviest regular users of unapproved AI tools. It has a price when it goes wrong: breaches involving high levels of shadow AI cost organisations an average of $670,000 more than the global average. You're accountable for a surface you can't fully see.

Meanwhile the CFO opens the IT budget every spring and asks where the waste is, and the honest answer is buried. The average organisation uses only 54% of its SaaS licenses and wastes an average of $19.8M a year on unused seats alone. You know some seats are dead; proving which ones, before the renewal auto-locks at last year's rate, is the part that takes a week you don't have.

The trap is answering all of this by onboarding yet another cloud tool that ingests your whole estate and drops an agent on every endpoint. Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027 on cost, unclear value and inadequate risk controls. AI Board is the opposite: a private second brain for IT ops, grounded in your own Entra sign-ins, TOPdesk exports, Intune/CMDB and license overviews, running on your own machine, private by design, with nothing new deployed to laptops. For the executive this rolls up to, see the AI-native CTO.

The week you recognize

The CFO asks where the waste is, and you can't point to it fast

Every spring the IT budget opens and the same question lands: why does this climb every year? You know there are dead seats (42 CRM licenses purchased, nowhere near that active), but reconciling purchased seats against actual sign-ins by hand takes days, and the design suite auto-renews 1 Aug at last year's rate whether or not you've cut them. The waste is real; naming it in euros before the renewal locks is what you never quite get to in time.

The team is drowning in resets while the roadmap quietly slips

The week fills with password resets and access requests (they spike after every Windows update), and the visible casualty is the migration that keeps getting pushed. ERP migration P-2043 has been frozen for a quarter because the people who'd run it are clearing the ticket queue instead. You suspect resets are a huge share of the load, but the honest breakdown sits unread in TOPdesk ticket export June.xlsx, so the case for self-service reset never gets built.

Audit wants a clean asset list, and you don't have one

September audit prep, and the classic findings write themselves: laptops that haven't checked into Intune in 90 days, and live accounts for people who left months ago. The sharpest gap is the one you can't see: apps signing in through Entra that sit outside your register, the shadow IT nobody registered. Cross-referencing CMDB export Intune + Entra.xlsx into a defensible list, with a remediation you can hand the auditor, is a week of work you start too late.

Live demo

Your personal AI assistant, thinking

Audit asks for every asset and who has access. I don't have a clean list.

Intune: 9 laptops haven't checked in for 90 days. Entra still has 4 live accounts for leavers. De Vries left in March. Two apps sign in via Entra but sit outside your register. Disable those 4 before the audit.

CMDB export Intune + Entra.xlsxIntune/Entra · this morning

Ask AI Board…

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What changes

The euro amount, named before the deadline locks

Ask where IT spend is leaking and you get the reconciliation done for you: purchased seats against Entra sign-ins over the last 30 days, the dead-seat count, and the auto-renewal date it has to beat. Not "you may have unused licenses": the specific seats to cut this week and what they cost if you don't. You walk into the CFO's budget review with the answer, not a promise to look into it.

The ticket load broken down, tied to the project it frees

The category split sourced straight from your TOPdesk export: resets and access as a share of the month, the post-update spike, self-service reset as the deflection that clears most of it. It surfaces what the data says and stops there; you own why the migration stalled. But now the case for unfreezing P-2043 is on paper, built from your own numbers, in the time it takes to ask.

A clean asset list, and a remediation you can hand over

Stale Intune devices, live leaver accounts, and (the line that lands hardest) the apps signing in via Entra that never made it into your register. Cross-referenced from your own CMDB and directory exports into the defensible list the audit wants, with the disable-these-first actions written out. Shadow IT stops being the thing you find out about after the auditor does.

Answered on demand

MFA coverage gaps

Which accounts are still signing in without MFA, and are any of them privileged or service accounts?

Overlapping tools

Are we paying for two tools that do the same job, and which one is actually being used?

Onboarding drift

Do new starters in the same role get the same access, or has provisioning drifted person by person?

Privileged access

Which accounts still hold admin rights they no longer use, and who signed off on them?

Questions, answered

What is an AI copilot for IT managers?

It's an AI that works at an IT manager's level, grounded in your own IT data (Entra sign-ins, TOPdesk or ITSM exports, Intune/CMDB, license overviews) rather than the open internet. You ask the questions the CFO, the auditor and your own team keep asking, and it answers from your actual estate, naming the source file for every figure. It doesn't replace your judgement or run remediation for you; it removes the days of manual reconciliation between you and the answer.

Does this put an agent on every endpoint or need broad API access?

No, that's the distinction. AI Board reads exports you already produce, or a connected read-only source, and runs grounded on your own machine. There's no agent pushed to laptops and no broad write access to your directory or ITSM. It surfaces what your own data already says; you decide and act on the changes yourself.

Is my IT data safe?

AI Board is private by design: it runs grounded in the files on your own machine, so your sign-in logs, ticket exports and asset inventory stay where they are. Nothing about your estate is published or turned into a marketing claim. Given that shadow AI is itself a data-exposure problem, the point is to answer these questions without adding another cloud service that ingests your whole IT estate.

Can I trust what it tells me?

Every answer names its source (the export and the date it came from), so you verify against the underlying data instead of trusting a black box. It shows the data and the move; it doesn't pretend to know why a project stalled or invent a deflection percentage. We're pre-launch, so treat it as a tool that shows its work, not an oracle.

The IT manager who finds out last (after the CFO flags the spend, after the auditor finds the leaver accounts, after the renewal has already locked) isn't behind on effort. The answers were always in the exports; they just weren't queryable before the deadline. A second brain grounded in your own IT data changes the order: you're the one who has the clean answer first. For how the private, on-your-machine grounding works, see security.

Put your own IT data to work

See how a second brain grounded in your Entra, TOPdesk and Intune exports answers the CFO, the auditor and the renewal deadline, private, on your own machine, no new agent.