For operations leaders
AI for COOs and operations directors, grounded in your own operations data
You know the questions before anyone asks them: what's our real on-time number, where did the margin go, which accounts are about to blow up. The problem is that the answer lives in three systems that disagree, and the version you walk into the MT with is the one you couldn't fully reconcile in time. An AI grounded in your own operational files closes that gap.
The enemy isn't a hard question. It's the hour before the monthly MT, still hunting for a figure that holds up while ERP and the planning tool quietly contradict each other. That gap is not a you problem; it is the AI problem, told at the operations seat. Gartner predicts that through 2026, organizations will abandon 60% of AI projects that aren't supported by AI-ready data, and 63% of data leaders aren't sure they even have the practices in place. A COO lives inside that statistic every close: the data isn't reconciled, so no answer can be trusted.
Most tools aimed at your seat make it worse, not better. Consulting decks promise 'predictive operations' with no week-one payoff. Ops-automation and RPA move tasks around but never tell you which of your two on-time numbers is right. A BI dashboard shows the figure but not why ERP and planning disagree, or what to do about it. None of them read your actual files and reconcile them.
AI Board is different because it is grounded in your own operational files (the ops dashboard, the margin-by-project export, the SLA report) and names the source and version behind every figure, so you can check it in ten seconds instead of trusting it blind. This page is about how you work with it week to week. For the underlying move (asking a question of your own files and getting one grounded answer), see chat with your data.
The week you recognize
One ops number that reconciles: the hour before the board
ERP says on-time delivery is 94%, the planning tool says 91%, and you can't walk into the MT with a figure you can defend, let alone explain the three-point gap. So you version MT Ops Dashboard Q2 definitief.xlsx for the fourth time and pick the number that looks least wrong. What you actually need isn't a prettier dashboard; it's the reconciled figure and the one-line reason the systems disagree, ready for the CFO's counter-question.
Gross margin dropped two points and everyone shouts 'volume'
The margin slips, you're held accountable in the MT for a drop you can't yet attribute, and isolating the real drivers (overtime and rework on specific projects versus purchasing creep) takes two days pivoting across three systems. You distrust the over-exact numbers those pivots spit out against messy multi-system data, and you're right to. The answer you want is honest about how it's estimated and still lands on a move, not a spuriously precise decimal.
You learn a top customer is unhappy when they call, angry
There's no escalation radar. A key account has been slipping below 90% on-time for weeks, but you find out only when the phone rings, after the damage. What you can't see is which of the top-20 will breach SLA next week while the backlog holds, and which line you'd move to stop it. That after-hours dread is firefighting escalations that were visible in the data days ago.
Live demo
Your personal AI assistant, thinking
Four top-20 accounts slipped below 90% on-time this month. Van Leeuwen and Kramer Groep breach SLA next week if the backlog holds. Call both today and pull a line onto their orders.
What changes
The reconciled number, with the reason for the gap
Ask for the clean on-time figure and you get the reconciled number, which system leads and why (ERP's actual goods-issue dates versus planning's old promised dates), and a one-line rebuttal for the CFO, sourced to the exact file and tab so you can verify before you commit. A dashboard stops at the number; a second brain grounded in your files carries it through to something you can defend in the room.
The margin drivers, estimated honestly, ending in a move
Where the margin actually went (overtime and rework isolated by project versus purchasing creep at a named supplier), assembled from your own files instead of two days in Excel. It tells you what's estimated on booked hours rather than pretending to be exact, and ends on the action: reprice the project that's leaking, before the next run.
An escalation radar, not a rear-view mirror
Which top accounts breach SLA next week if the backlog holds, when it breaks, and which line to move to prevent it, surfaced before the customer calls, not after. That turns the after-hours dread into a decision you can take to the capacity meeting: call today, pull a line, name the trade-off. It's not a dashboard; it's an action.
Answered on demand
Orders behind the gap
How many orders sit behind the three-point gap between our ERP and planning on-time numbers, and what's it worth?
Capacity trade-off
If I pull a line onto the accounts at risk, which orders slip, and at whose cost?
Where the backlog is aging
Which orders in the backlog are oldest against their promised date, and which customers do they belong to?
Overtime and rework
Which projects are running the most overtime and rework right now, and is it eating the margin or the schedule?
Questions, answered
What can AI actually do for a COO?
How is this different from an ops dashboard or RPA?
Which number does it reconcile, and how?
Does our operational data stay private?
The org-wide AI programme stalls on data: RAND found more than 80% of AI projects fail, roughly twice the rate of comparable IT projects, mostly on data issues rather than model magic. Your own second brain over your real files doesn't wait on that programme. And the operational decision surface is moving your way: Gartner predicts at least 15% of day-to-day work decisions will be made autonomously by agentic AI by 2028, up from none in 2024. The COO who walks in with a reconciled, grounded number is positioned for that. The one who waits on the next dashboard project is not.
Walk into the MT with a number that holds up
See how a second brain grounded in your ops, margin and SLA files reconciles the figure, explains the gap, and names the move, before the board meeting starts.